| 2024 | "Allot?" is "A Lot!" Towards Developing More Generalized Speech Recognition System for Accessible Communication. Grisha Bandodkar, Shyam Agarwal, Athul Krishna Sughosh, Sahilbir Singh, Taeyeong Choi |
| 2024 | 'Why Didn't You Allocate This Task to Them?' Negotiation-Aware Task Allocation and Contrastive Explanation Generation. Zahra Zahedi, Sailik Sengupta, Subbarao Kambhampati |
| 2024 | 1/2-Approximate MMS Allocation for Separable Piecewise Linear Concave Valuations. Chandra Chekuri, Pooja Kulkarni, Rucha Kulkarni, Ruta Mehta |
| 2024 | 3D Visibility-Aware Generalizable Neural Radiance Fields for Interacting Hands. Xuan Huang, Hanhui Li, Zejun Yang, Zhisheng Wang, Xiaodan Liang |
| 2024 | 3D-STMN: Dependency-Driven Superpoint-Text Matching Network for End-to-End 3D Referring Expression Segmentation. Changli Wu, Yiwei Ma, Qi Chen, Haowei Wang, Gen Luo, Jiayi Ji, Xiaoshuai Sun |
| 2024 | A Bayesian Spatial Model to Correct Under-Reporting in Urban Crowdsourcing. Gabriel Agostini, Emma Pierson, Nikhil Garg |
| 2024 | A Brain-Inspired Way of Reducing the Network Complexity via Concept-Regularized Coding for Emotion Recognition. Han Lu, Xiahai Zhuang, Qiang Luo |
| 2024 | A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems. Qingsong Wang, Zehui Liu, Chunfeng Cui, Deren Han |
| 2024 | A Chain-of-Thought Prompting Approach with LLMs for Evaluating Students' Formative Assessment Responses in Science. Clayton Cohn, Nicole Hutchins, Tuan Le, Gautam Biswas |
| 2024 | A Class of Topological Pseudodistances for Fast Comparison of Persistence Diagrams. Rolando Kindelan Nuñez, Mircea Petrache, Mauricio Cerda, Nancy Hitschfeld |
| 2024 | A Closer Look at Curriculum Adversarial Training: From an Online Perspective. Lianghe Shi, Weiwei Liu |
| 2024 | A Compiler for Weak Decomposable Negation Normal Form. Petr Illner, Petr Kucera |
| 2024 | A Comprehensive Analysis of the Effectiveness of Large Language Models as Automatic Dialogue Evaluators. Chen Zhang, Luis Fernando D'Haro, Yiming Chen, Malu Zhang, Haizhou Li |
| 2024 | A Comprehensive Augmentation Framework for Anomaly Detection. Jiang Lin, Yaping Yan |
| 2024 | A Computation-Aware Shape Loss Function for Point Cloud Completion. Shunran Zhang, Xiubo Zhang, Tsz Nam Chan, Shenghui Zhang, Leong Hou U |
| 2024 | A Convolutional Neural Network Interpretable Framework for Human Ventral Visual Pathway Representation. Mufan Xue, Xinyu Wu, Jinlong Li, Xuesong Li, Guoyuan Yang |
| 2024 | A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction. Wenshuo Chao, Zhaopeng Qiu, Likang Wu, Zhuoning Guo, Zhi Zheng, Hengshu Zhu, Hao Liu |
| 2024 | A Diffusion Model with State Estimation for Degradation-Blind Inverse Imaging. Liya Ji, Zhefan Rao, Sinno Jialin Pan, Chenyang Lei, Qifeng Chen |
| 2024 | A Diffusion-Based Framework for Multi-Class Anomaly Detection. Haoyang He, Jiangning Zhang, Hongxu Chen, Xuhai Chen, Zhishan Li, Xu Chen, Yabiao Wang, Chengjie Wang, Lei Xie |
| 2024 | A Diffusion-Based Pre-training Framework for Crystal Property Prediction. Zixing Song, Ziqiao Meng, Irwin King |
| 2024 | A Dual Stealthy Backdoor: From Both Spatial and Frequency Perspectives. Yudong Gao, Honglong Chen, Peng Sun, Junjian Li, Anqing Zhang, Zhibo Wang, Weifeng Liu |
| 2024 | A Dual-Way Enhanced Framework from Text Matching Point of View for Multimodal Entity Linking. Shezheng Song, Shan Zhao, Chengyu Wang, Tianwei Yan, Shasha Li, Xiaoguang Mao, Meng Wang |
| 2024 | A Dynamic GCN with Cross-Representation Distillation for Event-Based Learning. Yongjian Deng, Hao Chen, Youfu Li |
| 2024 | A Dynamic Learning Method towards Realistic Compositional Zero-Shot Learning. Xiaoming Hu, Zilei Wang |
| 2024 | A Fast Exact Solver with Theoretical Analysis for the Maximum Edge-Weighted Clique Problem. Lu Liu, Mingyu Xiao, Yi Zhou |
| 2024 | A Fixed-Parameter Tractable Algorithm for Counting Markov Equivalence Classes with the Same Skeleton. Vidya Sagar Sharma |
| 2024 | A Fixed-Point Approach to Unified Prompt-Based Counting. Wei Lin, Antoni B. Chan |
| 2024 | A Framework for Approaching AI Education in Educator Preparation Programs. Nancye Blair Black, Stacy George, Amy Eguchi, J. Camille Dempsey, Elizabeth Langran, Lucretia Fraga, Stein Brunvand, Nicol Howard |
| 2024 | A Framework for Data-Driven Explainability in Mathematical Optimization. Kevin-Martin Aigner, Marc Goerigk, Michael Hartisch, Frauke Liers, Arthur Miehlich |
| 2024 | A Framework for Mining Speech-to-Text Transcripts of the Customer for Automated Problem Remediation. Prateeti Mohapatra, Gargi Dasgupta |
| 2024 | A General Implicit Framework for Fast NeRF Composition and Rendering. Xinyu Gao, Ziyi Yang, Yunlu Zhao, Yuxiang Sun, Xiaogang Jin, Changqing Zou |
| 2024 | A General Model for Aggregating Annotations AcrossSimple, Complex, and Multi-object Annotation Tasks (Abstract Reprint). Alexander Braylan, Madalyn Marabella, Omar Alonso, Matthew Lease |
| 2024 | A General Search-Based Framework for Generating Textual Counterfactual Explanations. Daniel Gilo, Shaul Markovitch |
| 2024 | A General Theoretical Framework for Learning Smallest Interpretable Models. Sebastian Ordyniak, Giacomo Paesani, Mateusz Rychlicki, Stefan Szeider |
| 2024 | A Generalizable Theory-Driven Agent-Based Framework to Study Conflict-Induced Forced Migration. Zakaria Mehrab, Logan Stundal, Srinivasan Venkatramanan, Samarth Swarup, Bryan Leroy Lewis, Henning S. Mortveit, Christopher L. Barrett, Abhishek Pandey, Chad R. Wells, Alison P. Galvani, Burton H. Singer, Seyed M. Moghadas, David Leblang, Rita R. Colwell, Madhav V. Marathe |
| 2024 | A Generalized Neural Diffusion Framework on Graphs. Yibo Li, Xiao Wang, Hongrui Liu, Chuan Shi |
| 2024 | A Generalized Shuffle Framework for Privacy Amplification: Strengthening Privacy Guarantees and Enhancing Utility. E. Chen, Yang Cao, Yifei Ge |
| 2024 | A Goal Interaction Graph Planning Framework for Conversational Recommendation. Xiaotong Zhang, Xuefang Jia, Han Liu, Xinyue Liu, Xianchao Zhang |
| 2024 | A Graph Dynamics Prior for Relational Inference. Liming Pan, Cheng Shi, Ivan Dokmanic |
| 2024 | A Hierarchical Network for Multimodal Document-Level Relation Extraction. Lingxing Kong, Jiuliang Wang, Zheng Ma, Qifeng Zhou, Jianbing Zhang, Liang He, Jiajun Chen |
| 2024 | A Huber Loss Minimization Approach to Byzantine Robust Federated Learning. Puning Zhao, Fei Yu, Zhiguo Wan |
| 2024 | A Hybrid AI Framework for Sensor-Based Personal Health Monitoring towards Precision Health. Mbithe Nzomo |
| 2024 | A Hybrid Global-Local Perception Network for Lane Detection. Qing Chang, Yifei Tong |
| 2024 | A Joint Framework with Heterogeneous-Relation-Aware Graph and Multi-Channel Label Enhancing Strategy for Event Causality Extraction. Ruili Pu, Yang Li, Jun Zhao, Suge Wang, Deyu Li, Jian Liao, Jianxing Zheng |
| 2024 | A Label Disambiguation-Based Multimodal Massive Multiple Instance Learning Approach for Immune Repertoire Classification. Fan Xu, Yu Zhao, Bingzhe Wu, Yueshan Huang, Qin Ren, Yang Xiao, Bing He, Jie Zheng, Jianhua Yao |
| 2024 | A Learnable Discrete-Prior Fusion Autoencoder with Contrastive Learning for Tabular Data Synthesis. Rongchao Zhang, Yiwei Lou, Dexuan Xu, Yongzhi Cao, Hanpin Wang, Yu Huang |
| 2024 | A Local-Ascending-Global Learning Strategy for Brain-Computer Interface. Dongrui Gao, Haokai Zhang, Pengrui Li, Tian Tang, Shihong Liu, Zhihong Zhou, Shaofei Ying, Ye Zhu, Yongqing Zhang |
| 2024 | A Model for Estimating the Economic Costs of Computer Vision Systems That Use Deep Learning. Neil Thompson, Martin Fleming, Benny J. Tang, Anna M. Pastwa, Nicholas Borge, Brian C. Goehring, Subhro Das |
| 2024 | A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide Generation. Yongkang Wang, Xuan Liu, Feng Huang, Zhankun Xiong, Wen Zhang |
| 2024 | A Multimodal, Multi-Task Adapting Framework for Video Action Recognition. Mengmeng Wang, Jiazheng Xing, Boyuan Jiang, Jun Chen, Jianbiao Mei, Xingxing Zuo, Guang Dai, Jingdong Wang, Yong Liu |
| 2024 | A New Benchmark and Model for Challenging Image Manipulation Detection. Zhenfei Zhang, Mingyang Li, Ming-Ching Chang |
| 2024 | A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning. Dongxiao He, Jitao Zhao, Cuiying Huo, Yongqi Huang, Yuxiao Huang, Zhiyong Feng |
| 2024 | A Non-parametric Graph Clustering Framework for Multi-View Data. Shengju Yu, Siwei Wang, Zhibin Dong, Wenxuan Tu, Suyuan Liu, Zhao Lv, Pan Li, Miao Wang, En Zhu |
| 2024 | A Novel Approach for Longitudinal Modeling of Aging Health and Predicting Mortality Rates. Hannah Guan |
| 2024 | A Novel Energy Based Model Mechanism for Multi-Modal Aspect-Based Sentiment Analysis. Tianshuo Peng, Zuchao Li, Ping Wang, Lefei Zhang, Hai Zhao |
| 2024 | A Novel Skip Orthogonal List for Dynamic Optimal Transport Problem. Xiaoyang Xu, Hu Ding |
| 2024 | A PAC Learning Algorithm for LTL and Omega-Regular Objectives in MDPs. Mateo Perez, Fabio Somenzi, Ashutosh Trivedi |
| 2024 | A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning. Yinmin Zhang, Jie Liu, Chuming Li, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang |
| 2024 | A Picture Is Worth a Thousand Words: Co-designing Text-to-Image Generation Learning Materials for K-12 with Educators. Safinah Arshad Ali, Prerna Ravi, Katherine S. Moore, Hal Abelson, Cynthia Breazeal |
| 2024 | A Plug-and-Play Quaternion Message-Passing Module for Molecular Conformation Representation. Angxiao Yue, Dixin Luo, Hongteng Xu |
| 2024 | A Positive-Unlabeled Metric Learning Framework for Document-Level Relation Extraction with Incomplete Labeling. Ye Wang, Huazheng Pan, Tao Zhang, Wen Wu, Wenxin Hu |
| 2024 | A Pre-convolved Representation for Plug-and-Play Neural Illumination Fields. Yiyu Zhuang, Qi Zhang, Xuan Wang, Hao Zhu, Ying Feng, Xiaoyu Li, Ying Shan, Xun Cao |
| 2024 | A Primal-Dual Algorithm for Hybrid Federated Learning. Tom Overman, Garrett Blum, Diego Klabjan |
| 2024 | A Privacy Preserving Federated Learning (PPFL) Based Cognitive Digital Twin (CDT) Framework for Smart Cities. Sukanya Mandal |
| 2024 | A Provably Accurate Randomized Sampling Algorithm for Logistic Regression. Agniva Chowdhury, Pradeep Ramuhalli |
| 2024 | A Reinforcement-Learning-Based Multiple-Column Selection Strategy for Column Generation. Haofeng Yuan, Lichang Fang, Shiji Song |
| 2024 | A Robust Mutual-Reinforcing Framework for 3D Multi-Modal Medical Image Fusion Based on Visual-Semantic Consistency. Hao Zhang, Xuhui Zuo, Huabing Zhou, Tao Lu, Jiayi Ma |
| 2024 | A SAT + Computer Algebra System Verification of the Ramsey Problem R(3, 8) (Student Abstract). Conor Duggan, Zhengyu Li, Curtis Bright, Vijay Ganesh |
| 2024 | A SAT Solver and Computer Algebra Attack on the Minimum Kochen-Specker Problem (Student Abstract). Zhengyu Li, Curtis Bright, Vijay Ganesh |
| 2024 | A Score-Based Deterministic Diffusion Algorithm with Smooth Scores for General Distributions. Karthik Elamvazhuthi, Xuechen Zhang, Matthew Jacobs, Samet Oymak, Fabio Pasqualetti |
| 2024 | A Separation and Alignment Framework for Black-Box Domain Adaptation. Mingxuan Xia, Junbo Zhao, Gengyu Lyu, Zenan Huang, Tianlei Hu, Gang Chen, Haobo Wang |
| 2024 | A Sequentially Fair Mechanism for Multiple Sensitive Attributes. François Hu, Philipp Ratz, Arthur Charpentier |
| 2024 | A Simple and Practical Method for Reducing the Disparate Impact of Differential Privacy. Lucas Rosenblatt, Julia Stoyanovich, Christopher Musco |
| 2024 | A Simple and Yet Fairly Effective Defense for Graph Neural Networks. Sofiane Ennadir, Yassine Abbahaddou, Johannes F. Lutzeyer, Michalis Vazirgiannis, Henrik Boström |
| 2024 | A Submodular Optimization Approach to Accountable Loan Approval. Kyungsik Lee, Hana Yoo, Sumin Shin, Wooyoung Kim, Yeonung Baek, Hyunjin Kang, Jaehyun Kim, Kee-Eung Kim |
| 2024 | A Surprisingly Simple Continuous-Action POMDP Solver: Lazy Cross-Entropy Search Over Policy Trees. Marcus Hörger, Hanna Kurniawati, Dirk P. Kroese, Nan Ye |
| 2024 | A Survey of Learning Criteria Going beyond the Usual Risk (Abstract Reprint). Matthew J. Holland, Kazuki Tanabe |
| 2024 | A Theory of Non-acyclic Generative Flow Networks. Leo Maxime Brunswic, Yinchuan Li, Yushun Xu, Yijun Feng, Shangling Jui, Lizhuang Ma |
| 2024 | A Toolbox for Modelling Engagement with Educational Videos. Yuxiang Qiu, Karim Djemili, Denis Elezi, Aaneel Shalman Srazali, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor, Sahan Bulathwela |
| 2024 | A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning. Tianpei Yang, Heng You, Jianye Hao, Yan Zheng, Matthew E. Taylor |
| 2024 | A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks. Zhe Zhao, Pengkun Wang, Haibin Wen, Yudong Zhang, Zhengyang Zhou, Yang Wang |
| 2024 | A Two-Stage Information Extraction Network for Incomplete Multi-View Multi-Label Classification. Xin Tan, Ce Zhao, Chengliang Liu, Jie Wen, Zhanyan Tang |
| 2024 | A Unified Environmental Network for Pedestrian Trajectory Prediction. Yuchao Su, Yuanman Li, Wei Wang, Jiantao Zhou, Xia Li |
| 2024 | A Unified Knowledge Transfer Network for Generalized Category Discovery. Wenkai Shi, Wenbin An, Feng Tian, Yan Chen, Yaqiang Wu, Qianying Wang, Ping Chen |
| 2024 | A Unified Masked Autoencoder with Patchified Skeletons for Motion Synthesis. Esteve Valls Mascaro, Hyemin Ahn, Dongheui Lee |
| 2024 | A Unified Self-Distillation Framework for Multimodal Sentiment Analysis with Uncertain Missing Modalities. Mingcheng Li, Dingkang Yang, Yuxuan Lei, Shunli Wang, Shuaibing Wang, Liuzhen Su, Kun Yang, Yuzheng Wang, Mingyang Sun, Lihua Zhang |
| 2024 | A Unified View on Forgetting and Strong Equivalence Notions in Answer Set Programming. Zeynep G. Saribatur, Stefan Woltran |
| 2024 | A User-Friendly Framework for Generating Model-Preferred Prompts in Text-to-Image Synthesis. Nailei Hei, Qianyu Guo, Zihao Wang, Yan Wang, Haofen Wang, Wenqiang Zhang |
| 2024 | A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs. Sikun Yang, Hongyuan Zha |
| 2024 | A Virtual Driving Instructor That Generates Personalized Driving Lessons Based on Student Skill Level. J. Fredrik R. Bjørnland, Yrjar Gedde, Johannes Rehm, Irina Reshodko, Odd Erik Gundersen |
| 2024 | A Wireframe-Based Approach for Classifying and Acquiring Proficiency in the American Sign Language (Student Abstract). Dylan Pallickara, Sarath Sreedharan |
| 2024 | AACP: Aesthetics Assessment of Children's Paintings Based on Self-Supervised Learning. Shiqi Jiang, Ning Li, Chen Shi, Liping Guo, Changbo Wang, Chenhui Li |
| 2024 | ACAMDA: Improving Data Efficiency in Reinforcement Learning through Guided Counterfactual Data Augmentation. Yuewen Sun, Erli Wang, Biwei Huang, Chaochao Lu, Lu Feng, Changyin Sun, Kun Zhang |
| 2024 | ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning. Chenxiao Gao, Chenyang Wu, Mingjun Cao, Rui Kong, Zongzhang Zhang, Yang Yu |
| 2024 | ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection. Junwei He, Qianqian Xu, Yangbangyan Jiang, Zitai Wang, Qingming Huang |
| 2024 | AE-NeRF: Audio Enhanced Neural Radiance Field for Few Shot Talking Head Synthesis. Dongze Li, Kang Zhao, Wei Wang, Bo Peng, Yingya Zhang, Jing Dong, Tieniu Tan |
| 2024 | AGS: Affordable and Generalizable Substitute Training for Transferable Adversarial Attack. Ruikui Wang, Yuanfang Guo, Yunhong Wang |
| 2024 | AI Evaluation Authorities: A Case Study Mapping Model Audits to Persistent Standards. Arihant Chadda, Sean McGregor, Jesse Hostetler, Andrea Brennen |
| 2024 | AI Risk Profiles: A Standards Proposal for Pre-deployment AI Risk Disclosures. Eli Sherman, Ian W. Eisenberg |
| 2024 | AI, Ethics, and Education: The Pioneering Path of Sidekick Academy. Elizabeth A. Radday, Matt Mervis |
| 2024 | AI-Assisted Human Teamwork. Sangwon Seo |
| 2024 | AI-Based Energy Transportation Safety: Pipeline Radial Threat Estimation Using Intelligent Sensing System. Chengyuan Zhu, Yiyuan Yang, Kaixiang Yang, Haifeng Zhang, Qinmin Yang, C. L. Philip Chen |
| 2024 | AI-Enhanced Art Appreciation: Generating Text from Artwork to Promote Inclusivity. Tanisha Shende |
| 2024 | ALISON: Fast and Effective Stylometric Authorship Obfuscation. Eric Xing, Saranya Venkatraman, Thai Le, Dongwon Lee |
| 2024 | AMD: Anatomical Motion Diffusion with Interpretable Motion Decomposition and Fusion. Beibei Jing, Youjia Zhang, Zikai Song, Junqing Yu, Wei Yang |
| 2024 | AMD: Autoregressive Motion Diffusion. Bo Han, Hao Peng, Minjing Dong, Yi Ren, Yixuan Shen, Chang Xu |
| 2024 | AMSP-UOD: When Vortex Convolution and Stochastic Perturbation Meet Underwater Object Detection. Jingchun Zhou, Zongxin He, Kin-Man Lam, Yudong Wang, Weishi Zhang, Chunle Guo, Chongyi Li |
| 2024 | ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-supervised Learning. Yang Yu, Danruo Deng, Furui Liu, Qi Dou, Yueming Jin, Guangyong Chen, Pheng-Ann Heng |
| 2024 | AQ-DETR: Low-Bit Quantized Detection Transformer with Auxiliary Queries. Runqi Wang, Huixin Sun, Linlin Yang, Shaohui Lin, Chuanjian Liu, Yan Gao, Yao Hu, Baochang Zhang |
| 2024 | ASWT-SGNN: Adaptive Spectral Wavelet Transform-Based Self-Supervised Graph Neural Network. Ruyue Liu, Rong Yin, Yong Liu, Weiping Wang |
| 2024 | AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction. Qi Liu, Xuyang Hou, Defu Lian, Zhe Wang, Haoran Jin, Jia Cheng, Jun Lei |
| 2024 | AUC Optimization from Multiple Unlabeled Datasets. Zheng Xie, Yu Liu, Ming Li |
| 2024 | AVSegFormer: Audio-Visual Segmentation with Transformer. Shengyi Gao, Zhe Chen, Guo Chen, Wenhai Wang, Tong Lu |
| 2024 | Abstract Action Scheduling for Optimal Temporal Planning via OMT. Stefan Panjkovic, Andrea Micheli |
| 2024 | Abstract and Explore: A Novel Behavioral Metric with Cyclic Dynamics in Reinforcement Learning. Anjie Zhu, Peng-Fei Zhang, Ruihong Qiu, Zetao Zheng, Zi Huang, Jie Shao |
| 2024 | Abstraction of Situation Calculus Concurrent Game Structures. Yves Lespérance, Giuseppe De Giacomo, Maryam Rostamigiv, Shakil M. Khan |
| 2024 | Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning. Jiayu Chen, Zelai Xu, Yunfei Li, Chao Yu, Jiaming Song, Huazhong Yang, Fei Fang, Yu Wang, Yi Wu |
| 2024 | Accelerating Adversarially Robust Model Selection for Deep Neural Networks via Racing. Matthias König, Holger H. Hoos, Jan N. van Rijn |
| 2024 | Accelerating Cutting-Plane Algorithms via Reinforcement Learning Surrogates. Kyle Mana, Fernando Acero, Stephen Mak, Parisa Zehtabi, Michael Cashmore, Daniele Magazzeni, Manuela Veloso |
| 2024 | Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference. Zihao Yu, Haoyang Li, Fangcheng Fu, Xupeng Miao, Bin Cui |
| 2024 | Accelerating the Global Aggregation of Local Explanations. Alon Mor, Yonatan Belinkov, Benny Kimelfeld |
| 2024 | Accurate Parameter Estimation for Safety-Critical Systems with Unmodeled Dynamics (Abstract Reprint). Arnab Sarker, Peter A. Fisher, Joseph E. Gaudio, Anuradha Annaswamy |
| 2024 | Active Learning Guided by Efficient Surrogate Learners. Yunpyo An, Suyeong Park, Kwang In Kim |
| 2024 | Active Reinforcement Learning for Robust Building Control. Doseok Jang, Larry Yan, Lucas Spangher, Costas J. Spanos |
| 2024 | Actor Prioritized Experience Replay (Abstract Reprint). Baturay Saglam, Furkan B. Mutlu, Dogan Can Çiçek, Suleyman S. Kozat |
| 2024 | Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations. Lei Li, Jianxun Lian, Xiao Zhou, Xing Xie |
| 2024 | AdaCCD: Adaptive Semantic Contrasts Discovery Based Cross Lingual Adaptation for Code Clone Detection. Yangkai Du, Tengfei Ma, Lingfei Wu, Xuhong Zhang, Shouling Ji |
| 2024 | AdaFormer: Efficient Transformer with Adaptive Token Sparsification for Image Super-resolution. Xiaotong Luo, Zekun Ai, Qiuyuan Liang, Ding Liu, Yuan Xie, Yanyun Qu, Yun Fu |
| 2024 | AdapEdit: Spatio-Temporal Guided Adaptive Editing Algorithm for Text-Based Continuity-Sensitive Image Editing. Zhiyuan Ma, Guoli Jia, Bowen Zhou |
| 2024 | Adapted Weighted Aggregation in Federated Learning. Yitong Tang |
| 2024 | AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNs. Shengrui Li, Xueting Han, Jing Bai |
| 2024 | Adapting Animal Models to Assess Sufficiency of Fluid Resuscitation in Humans (Student Abstract). Ryan Schuerkamp, Xinyu Li, Brian Kunzer, Leonard S. Weiss, Hernando Gómez, Francis X. Guyette, Michael R. Pinsky, Artur Dubrawski |
| 2024 | Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search. Thomy Phan, Taoan Huang, Bistra Dilkina, Sven Koenig |
| 2024 | Adaptive Discovering and Merging for Incremental Novel Class Discovery. Guangyao Chen, Peixi Peng, Yangru Huang, Mengyue Geng, Yonghong Tian |
| 2024 | Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype Enhancement. Jing Wang, Jiangyun Li, Chen Chen, Yisi Zhang, Haoran Shen, Tianxiang Zhang |
| 2024 | Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering. Jingyu Pu, Chenhang Cui, Xinyue Chen, Yazhou Ren, Xiaorong Pu, Zhifeng Hao, Philip S. Yu, Lifang He |
| 2024 | Adaptive Graph Learning for Multimodal Conversational Emotion Detection. Geng Tu, Tian Xie, Bin Liang, Hongpeng Wang, Ruifeng Xu |
| 2024 | Adaptive Hardness Negative Sampling for Collaborative Filtering. Riwei Lai, Rui Chen, Qilong Han, Chi Zhang, Li Chen |
| 2024 | Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning. Mengmeng Sheng, Zeren Sun, Zhenhuang Cai, Tao Chen, Yichao Zhou, Yazhou Yao |
| 2024 | Adaptive Meta-Learning Probabilistic Inference Framework for Long Sequence Prediction. Jianping Zhu, Xin Guo, Yang Chen, Yao Yang, Wenbo Li, Bo Jin, Fei Wu |
| 2024 | Adaptive Prompt Routing for Arbitrary Text Style Transfer with Pre-trained Language Models. Qingyi Liu, Jinghui Qin, Wenxuan Ye, Hao Mou, Yuxuan He, Keze Wang |
| 2024 | Adaptive Reactive Synthesis for LTL and LTLf Modulo Theories. Andoni Rodríguez, César Sánchez |
| 2024 | Adaptive Shortcut Debiasing for Online Continual Learning. Doyoung Kim, Dongmin Park, Yooju Shin, Jihwan Bang, Hwanjun Song, Jae-Gil Lee |
| 2024 | Adaptive Uncertainty-Based Learning for Text-Based Person Retrieval. Shenshen Li, Chen He, Xing Xu, Fumin Shen, Yang Yang, Heng Tao Shen |
| 2024 | Addressing Digital and AI Skills Gaps in European Living Areas: A Comparative Analysis of Small and Large Communities. Long Pham, Barry O'Sullivan, Teresa Scantamburlo, Tai Tan Mai |
| 2024 | Adv-Diffusion: Imperceptible Adversarial Face Identity Attack via Latent Diffusion Model. Decheng Liu, Xijun Wang, Chunlei Peng, Nannan Wang, Ruimin Hu, Xinbo Gao |
| 2024 | AdvST: Revisiting Data Augmentations for Single Domain Generalization. Guangtao Zheng, Mengdi Huai, Aidong Zhang |
| 2024 | Advancing Spatial Reasoning in Large Language Models: An In-Depth Evaluation and Enhancement Using the StepGame Benchmark. Fangjun Li, David C. Hogg, Anthony G. Cohn |
| 2024 | Advancing Video Synchronization with Fractional Frame Analysis: Introducing a Novel Dataset and Model. Yuxuan Liu, Haizhou Ai, Junliang Xing, Xuri Li, Xiaoyi Wang, Pin Tao |
| 2024 | Adventures of Trustworthy Vision-Language Models: A Survey. Mayank Vatsa, Anubhooti Jain, Richa Singh |
| 2024 | Adversarial Attacks on Federated-Learned Adaptive Bitrate Algorithms. Rui-Xiao Zhang, Tianchi Huang |
| 2024 | Adversarial Attacks on the Interpretation of Neuron Activation Maximization. Géraldin Nanfack, Alexander Fulleringer, Jonathan Marty, Michael Eickenberg, Eugene Belilovsky |
| 2024 | Adversarial Fairness Network. Taeuk Jang, Xiaoqian Wang, Heng Huang |
| 2024 | Adversarial Initialization with Universal Adversarial Perturbation: A New Approach to Fast Adversarial Training. Chao Pan, Qing Li, Xin Yao |
| 2024 | Adversarial Purification with the Manifold Hypothesis. Zhaoyuan Yang, Zhiwei Xu, Jing Zhang, Richard I. Hartley, Peter H. Tu |
| 2024 | Adversarial Robust Safeguard for Evading Deep Facial Manipulation. Jiazhi Guan, Yi Zhao, Zhuoer Xu, Changhua Meng, Ke Xu, Youjian Zhao |
| 2024 | Adversarial Socialbots Modeling Based on Structural Information Principles. Xianghua Zeng, Hao Peng, Angsheng Li |
| 2024 | Adversarially Balanced Representation for Continuous Treatment Effect Estimation. Amirreza Kazemi, Martin Ester |
| 2024 | AesFA: An Aesthetic Feature-Aware Arbitrary Neural Style Transfer. Joonwoo Kwon, Sooyoung Kim, Yuewei Lin, Shinjae Yoo, Jiook Cha |
| 2024 | Agile Multi-Source-Free Domain Adaptation. Xinyao Li, Jingjing Li, Fengling Li, Lei Zhu, Ke Lu |
| 2024 | Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge. Xuan Shen, Peiyan Dong, Lei Lu, Zhenglun Kong, Zhengang Li, Ming Lin, Chao Wu, Yanzhi Wang |
| 2024 | Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound. Yun Liao, Junfan Li, Shizhong Liao, Qinghua Hu, Jianwu Dang |
| 2024 | Aleth-NeRF: Illumination Adaptive NeRF with Concealing Field Assumption. Ziteng Cui, Lin Gu, Xiao Sun, Xianzheng Ma, Yu Qiao, Tatsuya Harada |
| 2024 | Algorithmic Foundation of Federated Learning with Sequential Data. Mingrui Liu |
| 2024 | Aligner²: Enhancing Joint Multiple Intent Detection and Slot Filling via Adjustive and Forced Cross-Task Alignment. Zhihong Zhu, Xuxin Cheng, Yaowei Li, Hongxiang Li, Yuexian Zou |
| 2024 | Aligning Geometric Spatial Layout in Cross-View Geo-Localization via Feature Recombination. Qingwang Zhang, Yingying Zhu |
| 2024 | All Beings Are Equal in Open Set Recognition. Chaohua Li, Enhao Zhang, Chuanxing Geng, Songcan Chen |
| 2024 | All Should Be Equal in the Eyes of LMs: Counterfactually Aware Fair Text Generation. Pragyan Banerjee, Abhinav Java, Surgan Jandial, Simra Shahid, Shaz Furniturewala, Balaji Krishnamurthy, Sumit Bhatia |
| 2024 | All but One: Surgical Concept Erasing with Model Preservation in Text-to-Image Diffusion Models. Seunghoo Hong, Juhun Lee, Simon S. Woo |
| 2024 | Almost Envy-Free Allocations of Indivisible Goods or Chores with Entitlements. Max Springer, MohammadTaghi Hajiaghayi, Hadi Yami |
| 2024 | AltDiffusion: A Multilingual Text-to-Image Diffusion Model. Fulong Ye, Guang Liu, Xinya Wu, Ledell Wu |
| 2024 | AltNeRF: Learning Robust Neural Radiance Field via Alternating Depth-Pose Optimization. Kun Wang, Zhiqiang Yan, Huang Tian, Zhenyu Zhang, Xiang Li, Jun Li, Jian Yang |
| 2024 | Altruism in Facility Location Problems. Houyu Zhou, Hau Chan, Minming Li |
| 2024 | Amalgamating Multi-Task Models with Heterogeneous Architectures. Jidapa Thadajarassiri, Walter Gerych, Xiangnan Kong, Elke A. Rundensteiner |
| 2024 | Amodal Scene Analysis via Holistic Occlusion Relation Inference and Generative Mask Completion. Bowen Zhang, Qing Liu, Jianming Zhang, Yilin Wang, Liyang Liu, Zhe Lin, Yifan Liu |
| 2024 | Amplifying Diversity and Quality in Commonsense Knowledge Graph Completion (Student Abstract). Liu Yu, Fenghui Tian, Ping Kuang, Fan Zhou |
| 2024 | An Approximate Skolem Function Counter. Arijit Shaw, Brendan Juba, Kuldeep S. Meel |
| 2024 | An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention. Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park |
| 2024 | An Autoregressive Text-to-Graph Framework for Joint Entity and Relation Extraction. Urchade Zaratiana, Nadi Tomeh, Pierre Holat, Thierry Charnois |
| 2024 | An Eager Satisfiability Modulo Theories Solver for Algebraic Datatypes. Amar Shah, Federico Mora, Sanjit A. Seshia |
| 2024 | An Effective Augmented Lagrangian Method for Fine-Grained Multi-View Optimization. Yuze Tan, Hecheng Cai, Shudong Huang, Shuping Wei, Fan Yang, Jiancheng Lv |
| 2024 | An Effective Polynomial Technique for Compiling Conditional Effects Away. Alfonso Emilio Gerevini, Francesco Percassi, Enrico Scala |
| 2024 | An Effectiveness Study of Teacher-Led AI Literacy Curriculum in K-12 Classrooms. Helen Zhang, Irene Lee, Katherine S. Moore |
| 2024 | An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain. Xiang He, Dongcheng Zhao, Yang Li, Guobin Shen, Qingqun Kong, Yi Zeng |
| 2024 | An Efficient Subgraph-Inferring Framework for Large-Scale Heterogeneous Graphs. Wei Zhou, Hong Huang, Ruize Shi, Kehan Yin, Hai Jin |
| 2024 | An Embedding-Unleashing Video Polyp Segmentation Framework via Region Linking and Scale Alignment. Zhixue Fang, Xinrong Guo, Jingyin Lin, Huisi Wu, Jing Qin |
| 2024 | An Empirical Study of CLIP for Text-Based Person Search. Min Cao, Yang Bai, Ziyin Zeng, Mang Ye, Min Zhang |
| 2024 | An Empirical Study of Distributed Deep Learning Training on Edge (Student Abstract). Christine Mwase, Albert Njoroge Kahira, Zhuo Zou |
| 2024 | An Exercise in Tournament Design: When Some Matches Must Be Scheduled. Sushmita Gupta, Ramanujan Sridharan, Peter Strulo |
| 2024 | An Implicit Trust Region Approach to Behavior Regularized Offline Reinforcement Learning. Zhe Zhang, Xiaoyang Tan |
| 2024 | An Information-Flow Perspective on Algorithmic Fairness. Samuel Teuber, Bernhard Beckert |
| 2024 | An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations. Lulu Cao, Yufei Liu, Zhenzhong Wang, Dejun Xu, Kai Ye, Kay Chen Tan, Min Jiang |
| 2024 | An Optimal Transport View for Subspace Clustering and Spectral Clustering. Yuguang Yan, Zhihao Xu, Canlin Yang, Jie Zhang, Ruichu Cai, Michael Kwok-Po Ng |
| 2024 | Analysis of Differentially Private Synthetic Data: A Measurement Error Approach. Yangdi Jiang, Yi Liu, Xiaodong Yan, Anne-Sophie Charest, Linglong Kong, Bei Jiang |
| 2024 | Analytically Tractable Models for Decision Making under Present Bias. Yasunori Akagi, Naoki Marumo, Takeshi Kurashima |
| 2024 | Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System. Ruining Zhang, Haoran Han, Maolong Lv, Qisong Yang, Jian Cheng |
| 2024 | Anchoring Path for Inductive Relation Prediction in Knowledge Graphs. Zhixiang Su, Di Wang, Chunyan Miao, Lizhen Cui |
| 2024 | Angle Robustness Unmanned Aerial Vehicle Navigation in GNSS-Denied Scenarios. Yuxin Wang, Zunlei Feng, Haofei Zhang, Yang Gao, Jie Lei, Li Sun, Mingli Song |
| 2024 | AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model. Teng Hu, Jiangning Zhang, Ran Yi, Yuzhen Du, Xu Chen, Liang Liu, Yabiao Wang, Chengjie Wang |
| 2024 | AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models. Zhaopeng Gu, Bingke Zhu, Guibo Zhu, Yingying Chen, Ming Tang, Jinqiao Wang |
| 2024 | Another Way to the Top: Exploit Contextual Clustering in Learned Image Coding. Yichi Zhang, Zhihao Duan, Ming Lu, Dandan Ding, Fengqing Zhu, Zhan Ma |
| 2024 | Any-Size-Diffusion: Toward Efficient Text-Driven Synthesis for Any-Size HD Images. Qingping Zheng, Yuanfan Guo, Jiankang Deng, Jianhua Han, Ying Li, Songcen Xu, Hang Xu |
| 2024 | Any-Stereo: Arbitrary Scale Disparity Estimation for Iterative Stereo Matching. Zhaohuai Liang, Changhe Li |
| 2024 | Any-Way Meta Learning. JunHoo Lee, Yearim Kim, Hyunho Lee, Nojun Kwak |
| 2024 | Approval-Based Committee Voting in Practice: A Case Study of (over-)Representation in the Polkadot Blockchain. Niclas Boehmer, Markus Brill, Alfonso Cevallos, Jonas Gehrlein, Luis Sánchez Fernández, Ulrike Schmidt-Kraepelin |
| 2024 | Approximate Distance Oracle for Fault-Tolerant Geometric Spanners. Kyungjin Cho, Jihun Shin, Eunjin Oh |
| 2024 | Approximate Integer Solution Counts over Linear Arithmetic Constraints. Cunjing Ge |
| 2024 | Approximating the Shapley Value without Marginal Contributions. Patrick Kolpaczki, Viktor Bengs, Maximilian Muschalik, Eyke Hüllermeier |
| 2024 | Approximation Algorithms for Preference Aggregation Using CP-Nets. Abu Mohammad Hammad Ali, Boting Yang, Sandra Zilles |
| 2024 | Approximation Scheme for Weighted Metric Clustering via Sherali-Adams. Dmitrii Avdiukhin, Vaggos Chatziafratis, Konstantin Makarychev, Grigory Yaroslavtsev |
| 2024 | Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair Classification. A. Feder Cooper, Katherine Lee, Madiha Zahrah Choksi, Solon Barocas, Christopher De Sa, James Grimmelmann, Jon M. Kleinberg, Siddhartha Sen, Baobao Zhang |
| 2024 | Arbitrary-Scale Point Cloud Upsampling by Voxel-Based Network with Latent Geometric-Consistent Learning. Hang Du, Xuejun Yan, Jingjing Wang, Di Xie, Shiliang Pu |
| 2024 | Arbitrary-Scale Video Super-resolution Guided by Dynamic Context. Cong Huang, Jiahao Li, Lei Chu, Dong Liu, Yan Lu |
| 2024 | Are You Concerned about Limited Function Evaluations: Data-Augmented Pareto Set Learning for Expensive Multi-Objective Optimization. Yongfan Lu, Bingdong Li, Aimin Zhou |
| 2024 | Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning. Yi Cheng, Renjun Hu, Haochao Ying, Xing Shi, Jian Wu, Wei Lin |
| 2024 | ArtBank: Artistic Style Transfer with Pre-trained Diffusion Model and Implicit Style Prompt Bank. Zhanjie Zhang, Quanwei Zhang, Wei Xing, Guangyuan Li, Lei Zhao, Jiakai Sun, Zehua Lan, Junsheng Luan, Yiling Huang, Huaizhong Lin |
| 2024 | Artificial Intelligence in the CS2023 Undergraduate Computer Science Curriculum: Rationale and Challenges. Eric Eaton, Susan L. Epstein |
| 2024 | Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations. Jihong Ouyang, Zhiyao Yang, Silong Liang, Bing Wang, Yimeng Wang, Ximing Li |
| 2024 | Assume-Guarantee Reinforcement Learning. Milad Kazemi, Mateo Perez, Fabio Somenzi, Sadegh Soudjani, Ashutosh Trivedi, Alvaro Velasquez |
| 2024 | Asymmetric Mutual Alignment for Unsupervised Zero-Shot Sketch-Based Image Retrieval. Zhihui Yin, Jiexi Yan, Chenghao Xu, Cheng Deng |
| 2024 | Attack Deterministic Conditional Image Generative Models for Diverse and Controllable Generation. Tianyi Chu, Wei Xing, Jiafu Chen, Zhizhong Wang, Jiakai Sun, Lei Zhao, Haibo Chen, Huaizhong Lin |
| 2024 | Attacking CNNs in Histopathology with SNAP: Sporadic and Naturalistic Adversarial Patches (Student Abstract). Daya Kumar, Abhijith Sharma, Apurva Narayan |
| 2024 | Attacking Transformers with Feature Diversity Adversarial Perturbation. Chenxing Gao, Hang Zhou, Junqing Yu, Yuteng Ye, Jiale Cai, Junle Wang, Wei Yang |
| 2024 | Attacks on Continual Semantic Segmentation by Perturbing Incremental Samples. Zhidong Yu, Wei Yang, Xike Xie, Zhenbo Shi |
| 2024 | Attention Disturbance and Dual-Path Constraint Network for Occluded Person Re-identification. Jiaer Xia, Lei Tan, Pingyang Dai, Mingbo Zhao, Yongjian Wu, Liujuan Cao |
| 2024 | Attention Guided CAM: Visual Explanations of Vision Transformer Guided by Self-Attention. Saebom Leem, Hyunseok Seo |
| 2024 | Attention-Based Models for Snow-Water Equivalent Prediction. Krishu K. Thapa, Bhupinderjeet Singh, Supriya Savalkar, Alan Fern, Kirti Rajagopalan, Ananth Kalyanaraman |
| 2024 | Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification. Chengliang Liu, Jinlong Jia, Jie Wen, Yabo Liu, Xiaoling Luo, Chao Huang, Yong Xu |
| 2024 | Attribute-Missing Graph Clustering Network. Wenxuan Tu, Renxiang Guan, Sihang Zhou, Chuan Ma, Xin Peng, Zhiping Cai, Zhe Liu, Jieren Cheng, Xinwang Liu |
| 2024 | Audio Generation with Multiple Conditional Diffusion Model. Zhifang Guo, Jianguo Mao, Rui Tao, Long Yan, Kazushige Ouchi, Hong Liu, Xiangdong Wang |
| 2024 | Audio Scanning Network: Bridging Time and Frequency Domains for Audio Classification. Liangwei Chen, Xiren Zhou, Huanhuan Chen |
| 2024 | AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head. Rongjie Huang, Mingze Li, Dongchao Yang, Jiatong Shi, Xuankai Chang, Zhenhui Ye, Yuning Wu, Zhiqing Hong, Jiawei Huang, Jinglin Liu, Yi Ren, Yuexian Zou, Zhou Zhao, Shinji Watanabe |
| 2024 | Auditable Algorithms for Approximate Model Counting. Kuldeep S. Meel, Supratik Chakraborty, S. Akshay |
| 2024 | Augmented Commonsense Knowledge for Remote Object Grounding. Bahram Mohammadi, Yicong Hong, Yuankai Qi, Qi Wu, Shirui Pan, Javen Qinfeng Shi |
| 2024 | Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery. Zimian Wei, Peijie Dong, Zheng Hui, Anggeng Li, Lujun Li, Menglong Lu, Hengyue Pan, Dongsheng Li |
| 2024 | Auto311: A Confidence-Guided Automated System for Non-emergency Calls. Zirong Chen, Xutong Sun, Yuanhe Li, Meiyi Ma |
| 2024 | AutoLTS: Automating Cycling Stress Assessment via Contrastive Learning and Spatial Post-processing. Bo Lin, Shoshanna Saxe, Timothy C. Y. Chan |
| 2024 | AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data. Santosh Palaskar, Vijay Ekambaram, Arindam Jati, Neelamadhav Gantayat, Avirup Saha, Seema Nagar, Nam H. Nguyen, Pankaj Dayama, Renuka Sindhgatta, Prateeti Mohapatra, Harshit Kumar, Jayant Kalagnanam, Nandyala Hemachandra, Narayan Rangaraj |
| 2024 | Automated Assessment of Fidelity and Interpretability: An Evaluation Framework for Large Language Models' Explanations (Student Abstract). Mu-Tien Kuo, Chih-Chung Hsueh, Richard Tzong-Han Tsai |
| 2024 | Automated Defect Report Generation for Enhanced Industrial Quality Control. Jiayuan Xie, Zhiping Zhou, Zihan Wu, Xinting Zhang, Jiexin Wang, Yi Cai, Qing Li |
| 2024 | Automated Design of Affine Maximizer Mechanisms in Dynamic Settings. Michael J. Curry, Vinzenz Thoma, Darshan Chakrabarti, Stephen McAleer, Christian Kroer, Tuomas Sandholm, Niao He, Sven Seuken |
| 2024 | Automated Natural Language Explanation of Deep Visual Neurons with Large Models (Student Abstract). Chenxu Zhao, Wei Qian, Yucheng Shi, Mengdi Huai, Ninghao Liu |
| 2024 | Automated State Estimation for Summarizing the Dynamics of Complex Urban Systems Using Representation Learning. Maira Alvi, Tim French, Philip Keymer, Rachel Cardell-Oliver |
| 2024 | Automatic Core-Guided Reformulation via Constraint Explanation and Condition Learning. Kevin Leo, Graeme Gange, Maria Garcia de la Banda, Mark Wallace |
| 2024 | Automatic Interpretation of Line Probe Assay Test for Tuberculosis. Jatin Agrawal, Mukul Kumar, Avtansh Tiwari, Sachin Danisetty, Soma Dhavala, Nakul Jain, Prasaanth Balraj, Niket Singh, Siddhant Shingi, Jayakrishna Kurada, Raghuram Rao, S. Anand, Nishant Kumar |
| 2024 | Automatic Radiology Reports Generation via Memory Alignment Network. Hongyu Shen, Mingtao Pei, Juncai Liu, Zhaoxing Tian |
| 2024 | Automatic Short Answer Grading for Finnish with ChatGPT. Li-Hsin Chang, Filip Ginter |
| 2024 | Automatically Testing Functional Properties of Code Translation Models. Hasan Ferit Eniser, Valentin Wüstholz, Maria Christakis |
| 2024 | Autonomous Policy Explanations for Effective Human-Machine Teaming. Aaquib Tabrez |
| 2024 | Autoregressive Omni-Aware Outpainting for Open-Vocabulary 360-Degree Image Generation. Zhuqiang Lu, Kun Hu, Chaoyue Wang, Lei Bai, Zhiyong Wang |
| 2024 | AvatarVerse: High-Quality & Stable 3D Avatar Creation from Text and Pose. Huichao Zhang, Bowen Chen, Hao Yang, Liao Qu, Xu Wang, Li Chen, Chao Long, Feida Zhu, Daniel K. Du, Min Zheng |
| 2024 | Axiomatic Aggregations of Abductive Explanations. Gagan Biradar, Yacine Izza, Elita A. Lobo, Vignesh Viswanathan, Yair Zick |
| 2024 | B-spine: Learning B-spline Curve Representation for Robust and Interpretable Spinal Curvature Estimation. Hao Wang, Qiang Song, Ruofeng Yin, Rui Ma |
| 2024 | BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving. Sean Lamont, Michael Norrish, Amir Dezfouli, Christian Walder, Paul Montague |
| 2024 | BAND: Biomedical Alert News Dataset. Zihao Fu, Meiru Zhang, Zaiqiao Meng, Yannan Shen, David L. Buckeridge, Nigel Collier |
| 2024 | BARET: Balanced Attention Based Real Image Editing Driven by Target-Text Inversion. Yuming Qiao, Fanyi Wang, Jingwen Su, Yanhao Zhang, Yunjie Yu, Siyu Wu, Guo-Jun Qi |
| 2024 | BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving. Haicheng Liao, Zhenning Li, Huanming Shen, Wenxuan Zeng, Dongping Liao, Guofa Li, Chengzhong Xu |
| 2024 | BBScore: A Brownian Bridge Based Metric for Assessing Text Coherence. Zhecheng Sheng, Tianhao Zhang, Chen Jiang, Dongyeop Kang |
| 2024 | BCLNet: Bilateral Consensus Learning for Two-View Correspondence Pruning. Xiangyang Miao, Guobao Xiao, Shiping Wang, Jun Yu |
| 2024 | BDIQA: A New Dataset for Video Question Answering to Explore Cognitive Reasoning through Theory of Mind. Yuanyuan Mao, Xin Lin, Qin Ni, Liang He |
| 2024 | BERTground: A Transformer-Based Model of Background Spectra on the ISS-Based NICER Space Telescope. Anh N. Nhu, Abderahmen Zoghbi |
| 2024 | BEV-MAE: Bird's Eye View Masked Autoencoders for Point Cloud Pre-training in Autonomous Driving Scenarios. Zhiwei Lin, Yongtao Wang, Shengxiang Qi, Nan Dong, Ming-Hsuan Yang |
| 2024 | BLADE: Box-Level Supervised Amodal Segmentation through Directed Expansion. Zhaochen Liu, Zhixuan Li, Tingting Jiang |
| 2024 | BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual Questions. Wenbo Hu, Yifan Xu, Yi Li, Weiyue Li, Zeyuan Chen, Zhuowen Tu |
| 2024 | BLiRF: Bandlimited Radiance Fields for Dynamic Scene Modeling. Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Anton van den Hengel |
| 2024 | BOK-VQA: Bilingual outside Knowledge-Based Visual Question Answering via Graph Representation Pretraining. Minjun Kim, Seungwoo Song, Youhan Lee, Haneol Jang, Kyungtae Lim |
| 2024 | BVT-IMA: Binary Vision Transformer with Information-Modified Attention. Zhenyu Wang, Hao Luo, Xuemei Xie, Fan Wang, Guangming Shi |
| 2024 | BaCon: Boosting Imbalanced Semi-supervised Learning via Balanced Feature-Level Contrastive Learning. Qianhan Feng, Lujing Xie, Shijie Fang, Tong Lin |
| 2024 | Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations. Junpeng Fang, Gongduo Zhang, Qing Cui, Caizhi Tang, Lihong Gu, Longfei Li, Jinjie Gu, Jun Zhou |
| 2024 | Backdoor Attacks via Machine Unlearning. Zihao Liu, Tianhao Wang, Mengdi Huai, Chenglin Miao |
| 2024 | Backpropagation Through Agents. Zhiyuan Li, Wenshuai Zhao, Lijun Wu, Joni Pajarinen |
| 2024 | Backward Responsibility in Transition Systems Using General Power Indices. Christel Baier, Roxane van den Bossche, Sascha Klüppelholz, Johannes Lehmann, Jakob Piribauer |
| 2024 | Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection. Beizhe Hu, Qiang Sheng, Juan Cao, Yuhui Shi, Yang Li, Danding Wang, Peng Qi |
| 2024 | BadRL: Sparse Targeted Backdoor Attack against Reinforcement Learning. Jing Cui, Yufei Han, Yuzhe Ma, Jianbin Jiao, Junge Zhang |
| 2024 | BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks (Student Abstract). Zihan Guan, Mengxuan Hu, Zhongliang Zhou, Jielu Zhang, Sheng Li, Ninghao Liu |
| 2024 | Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation. Shangding Gu, Bilgehan Sel, Yuhao Ding, Lu Wang, Qingwei Lin, Ming Jin, Alois Knoll |
| 2024 | Balancing Humans and Machines: A Study on Integration Scale and Its Impact on Collaborative Performance. Rui Zou, Sannyuya Liu, Yawei Luo, Yaqi Liu, Jintian Feng, Mengqi Wei, Jianwen Sun |
| 2024 | Barely Supervised Learning for Graph-Based Fraud Detection. Hang Yu, Zhengyang Liu, Xiangfeng Luo |
| 2024 | Batch Normalization Is Blind to the First and Second Derivatives of the Loss. Zhanpeng Zhou, Wen Shen, Huixin Chen, Ling Tang, Yuefeng Chen, Quanshi Zhang |
| 2024 | Bayesian Inference with Complex Knowledge Graph Evidence. Armin Toroghi, Scott Sanner |
| 2024 | Behavioral Recognition of Skeletal Data Based on Targeted Dual Fusion Strategy. Xiao Yun, Chenglong Xu, Kévin Riou, Kaiwen Dong, Yanjing Sun, Song Li, Kévin Subrin, Patrick Le Callet |
| 2024 | BeliefFlow: A Framework for Logic-Based Belief Diffusion via Iterated Belief Change. Nicolas Schwind, Katsumi Inoue, Sébastien Konieczny, Pierre Marquis |
| 2024 | Benchmarking Cyber Harassment Dialogue Comprehension through Emotion-Informed Manifestations-Determinants Demarcation. Soumitra Ghosh, Gopendra Vikram Singh, Jashn Arora, Asif Ekbal |
| 2024 | Benchmarking Large Language Models in Retrieval-Augmented Generation. Jiawei Chen, Hongyu Lin, Xianpei Han, Le Sun |
| 2024 | Benchmarking Large Language Models on Controllable Generation under Diversified Instructions. Yihan Chen, Benfeng Xu, Quan Wang, Yi Liu, Zhendong Mao |
| 2024 | BertRLFuzzer: A BERT and Reinforcement Learning Based Fuzzer (Student Abstract). Piyush Jha, Joseph Scott, Jaya Sriram Ganeshna, Mudit Singh, Vijay Ganesh |
| 2024 | Better than Random: Reliable NLG Human Evaluation with Constrained Active Sampling. Jie Ruan, Xiao Pu, Mingqi Gao, Xiaojun Wan, Yuesheng Zhu |
| 2024 | Beyond Attention: Breaking the Limits of Transformer Context Length with Recurrent Memory. Aydar Bulatov, Yuri Kuratov, Yermek Kapushev, Mikhail Burtsev |
| 2024 | Beyond Entities: A Large-Scale Multi-Modal Knowledge Graph with Triplet Fact Grounding. Jingping Liu, Mingchuan Zhang, Weichen Li, Chao Wang, Shuang Li, Haiyun Jiang, Sihang Jiang, Yanghua Xiao, Yunwen Chen |
| 2024 | Beyond Expected Return: Accounting for Policy Reproducibility When Evaluating Reinforcement Learning Algorithms. Manon Flageat, Bryan Lim, Antoine Cully |
| 2024 | Beyond Grounding: Extracting Fine-Grained Event Hierarchies across Modalities. Hammad A. Ayyubi, Christopher Thomas, Lovish Chum, Rahul Lokesh, Long Chen, Yulei Niu, Xudong Lin, Xuande Feng, Jaywon Koo, Sounak Ray, Shih-Fu Chang |
| 2024 | Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Constraints for EEG-Based Emotion Recognition. Zhi Zhang, Shenghua Zhong, Yan Liu |
| 2024 | Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning. Jinxin Liu, Ziqi Zhang, Zhenyu Wei, Zifeng Zhuang, Yachen Kang, Sibo Gai, Donglin Wang |
| 2024 | Beyond Prototypes: Semantic Anchor Regularization for Better Representation Learning. Yanqi Ge, Qiang Nie, Ye Huang, Yong Liu, Chengjie Wang, Feng Zheng, Wen Li, Lixin Duan |
| 2024 | Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning. Tao Liu, Yuhang Zhang, Zhu Feng, Zhiqin Yang, Chen Xu, Dapeng Man, Wu Yang |
| 2024 | Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles. Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier |
| 2024 | Beyond the Label Itself: Latent Labels Enhance Semi-supervised Point Cloud Panoptic Segmentation. Yujun Chen, Xin Tan, Zhizhong Zhang, Yanyun Qu, Yuan Xie |
| 2024 | Bi-ViT: Pushing the Limit of Vision Transformer Quantization. Yanjing Li, Sheng Xu, Mingbao Lin, Xianbin Cao, Chuanjian Liu, Xiao Sun, Baochang Zhang |
| 2024 | Bi-directional Adapter for Multimodal Tracking. Bing Cao, Junliang Guo, Pengfei Zhu, Qinghua Hu |
| 2024 | BiPFT: Binary Pre-trained Foundation Transformer with Low-Rank Estimation of Binarization Residual Polynomials. Xingrun Xing, Li Du, Xinyuan Wang, Xianlin Zeng, Yequan Wang, Zheng Zhang, Jiajun Zhang |
| 2024 | Bias-Conflict Sample Synthesis and Adversarial Removal Debias Strategy for Temporal Sentence Grounding in Video. Zhaobo Qi, Yibo Yuan, Xiaowen Ruan, Shuhui Wang, Weigang Zhang, Qingming Huang |
| 2024 | Biases Mitigation and Expressiveness Preservation in Language Models: A Comprehensive Pipeline (Student Abstract). Liu Yu, Ludie Guo, Ping Kuang, Fan Zhou |
| 2024 | Bidirectional Contrastive Split Learning for Visual Question Answering. Yuwei Sun, Hideya Ochiai |
| 2024 | Bidirectional Temporal Plan Graph: Enabling Switchable Passing Orders for More Efficient Multi-Agent Path Finding Plan Execution. Yifan Su, Rishi Veerapaneni, Jiaoyang Li |
| 2024 | Big Learning Expectation Maximization. Yulai Cong, Sijia Li |
| 2024 | Bilateral Gradual Semantics for Weighted Argumentation. Zongshun Wang, Yuping Shen |
| 2024 | Binding-Adaptive Diffusion Models for Structure-Based Drug Design. Zhilin Huang, Ling Yang, Zaixi Zhang, Xiangxin Zhou, Yu Bao, Xiawu Zheng, Yuwei Yang, Yu Wang, Wenming Yang |
| 2024 | Biomedical Knowledge Graph Embedding with Householder Projection (Student Abstract). Sensen Zhang, Xun Liang, Simin Niu, Xuan Zhang, Chen Feng, Yuefeng Ma |
| 2024 | BirdCollect: A Comprehensive Benchmark for Analyzing Dense Bird Flock Attributes. Kshitiz, Sonu Shreshtha, Bikash Dutta, Muskan Dosi, Mayank Vatsa, Richa Singh, Saket Anand, Sudeep Sarkar, Sevaram Mali Parihar |
| 2024 | Blind Face Restoration under Extreme Conditions: Leveraging 3D-2D Prior Fusion for Superior Structural and Texture Recovery. Zhengrui Chen, Liying Lu, Ziyang Yuan, Yiming Zhu, Yu Li, Chun Yuan, Weihong Deng |
| 2024 | Blind-Touch: Homomorphic Encryption-Based Distributed Neural Network Inference for Privacy-Preserving Fingerprint Authentication. Hyunmin Choi, Simon S. Woo, Hyoungshick Kim |
| 2024 | Block Image Compressive Sensing with Local and Global Information Interaction. Xiaoyu Kong, Yongyong Chen, Feng Zheng, Zhenyu He |
| 2024 | Block-Level Goal Recognition Design. Tsz-Chiu Au |
| 2024 | Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping. Qinliang Lin, Cheng Luo, Zenghao Niu, Xilin He, Weicheng Xie, Yuanbo Hou, Linlin Shen, Siyang Song |
| 2024 | Boosting Few-Shot Learning via Attentive Feature Regularization. Xingyu Zhu, Shuo Wang, Jinda Lu, Yanbin Hao, Haifeng Liu, Xiangnan He |
| 2024 | Boosting Multiple Instance Learning Models for Whole Slide Image Classification: A Model-Agnostic Framework Based on Counterfactual Inference. Weiping Lin, Zhenfeng Zhuang, Lequan Yu, Liansheng Wang |
| 2024 | Boosting Neural Cognitive Diagnosis with Student's Affective State Modeling. Shanshan Wang, Zhen Zeng, Xun Yang, Ke Xu, Xingyi Zhang |
| 2024 | Boosting Residual Networks with Group Knowledge. Shengji Tang, Peng Ye, Baopu Li, Weihao Lin, Tao Chen, Tong He, Chong Yu, Wanli Ouyang |
| 2024 | Bootstrapping Cognitive Agents with a Large Language Model. Feiyu Zhu, Reid G. Simmons |
| 2024 | Bootstrapping Large Language Models for Radiology Report Generation. Chang Liu, Yuanhe Tian, Weidong Chen, Yan Song, Yongdong Zhang |
| 2024 | Box2Poly: Memory-Efficient Polygon Prediction of Arbitrarily Shaped and Rotated Text. Xuyang Chen, Dong Wang, Konrad Schindler, Mingwei Sun, Yongliang Wang, Nicoló Savioli, Liqiu Meng |
| 2024 | Bridging the Gap between 2D and 3D Visual Question Answering: A Fusion Approach for 3D VQA. Wentao Mo, Yang Liu |
| 2024 | Bridging the Gap between Source Code and Requirements Using GPT (Student Abstract). Ruoyu Xu, Zhenyu Xu, Gaoxiang Li, Victor S. Sheng |
| 2024 | Bridging the Semantic Latent Space between Brain and Machine: Similarity Is All You Need. Jiaxuan Chen, Yu Qi, Yueming Wang, Gang Pan |
| 2024 | Brush Your Text: Synthesize Any Scene Text on Images via Diffusion Model. Lingjun Zhang, Xinyuan Chen, Yaohui Wang, Yue Lu, Yu Qiao |
| 2024 | Build Your Own Robot Friend: An Open-Source Learning Module for Accessible and Engaging AI Education. Zhonghao Shi, Amy O'Connell, Zongjian Li, Siqi Liu, Jennifer Ayissi, Guy Hoffman, Mohammad Soleymani, Maja J. Mataric |
| 2024 | Building Conversational Artifacts to Enable Digital Assistant for APIs and RPAs. Jayachandu Bandlamudi, Kushal Mukherjee, Prerna Agarwal, Ritwik Chaudhuri, Rakesh Pimplikar, Sampath Dechu, Alex Straley, Anbumunee Ponniah, Renuka Sindhgatta |
| 2024 | Building Higher-Order Abstractions from the Components of Recommender Systems. Serdar Kadioglu, Bernard Kleynhans |
| 2024 | Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning. Zizhao Wang, Caroline Wang, Xuesu Xiao, Yuke Zhu, Peter Stone |
| 2024 | Building Variable-Sized Models via Learngene Pool. Boyu Shi, Shiyu Xia, Xu Yang, Haokun Chen, Zhiqiang Kou, Xin Geng |
| 2024 | Byzantine-Robust Decentralized Learning via Remove-then-Clip Aggregation. Caiyi Yang, Javad Ghaderi |
| 2024 | CAMEL: Capturing Metaphorical Alignment with Context Disentangling for Multimodal Emotion Recognition. Linhao Zhang, Li Jin, Guangluan Xu, Xiaoyu Li, Cai Xu, Kaiwen Wei, Nayu Liu, Haonan Liu |
| 2024 | CAR-Transformer: Cross-Attention Reinforcement Transformer for Cross-Lingual Summarization. Yuang Cai, Yuyu Yuan |
| 2024 | CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition. Cheng Peng, Ke Chen, Lidan Shou, Gang Chen |
| 2024 | CASE: Exploiting Intra-class Compactness and Inter-class Separability of Feature Embeddings for Out-of-Distribution Detection. Shuai Feng, Pengsheng Jin, Chongjun Wang |
| 2024 | CAVEN: An Embodied Conversational Agent for Efficient Audio-Visual Navigation in Noisy Environments. Xiulong Liu, Sudipta Paul, Moitreya Chatterjee, Anoop Cherian |
| 2024 | CCTR: Calibrating Trajectory Prediction for Uncertainty-Aware Motion Planning in Autonomous Driving. Chengtai Cao, Xinhong Chen, Jianping Wang, Qun Song, Rui Tan, Yung-Hui Li |
| 2024 | CDPNet: Cross-Modal Dual Phases Network for Point Cloud Completion. Zhenjiang Du, Jiale Dou, Zhitao Liu, Jiwei Wei, Guan Wang, Ning Xie, Yang Yang |
| 2024 | CEDFlow: Latent Contour Enhancement for Dark Optical Flow Estimation. Fengyuan Zuo, Zhaolin Xiao, Haiyan Jin, Haonan Su |
| 2024 | CEGAR-Based Approach for Solving Combinatorial Optimization Modulo Quantified Linear Arithmetics Problems. Kerian Thuillier, Anne Siegel, Loïc Paulevé |
| 2024 | CF-NeRF: Camera Parameter Free Neural Radiance Fields with Incremental Learning. Qingsong Yan, Qiang Wang, Kaiyong Zhao, Jie Chen, Bo Li, Xiaowen Chu, Fei Deng |
| 2024 | CFEVER: A Chinese Fact Extraction and VERification Dataset. Ying-Jia Lin, Chun-Yi Lin, Chia-Jen Yeh, Yi-Ting Li, Yun-Yu Hu, Chih-Hao Hsu, Mei-Feng Lee, Hung-Yu Kao |
| 2024 | CFR-ICL: Cascade-Forward Refinement with Iterative Click Loss for Interactive Image Segmentation. Shoukun Sun, Min Xian, Fei Xu, Luca Capriotti, Tiankai Yao |
| 2024 | CGMGM: A Cross-Gaussian Mixture Generative Model for Few-Shot Semantic Segmentation. Junao Shen, Kun Kuang, Jiaheng Wang, Xinyu Wang, Tian Feng, Wei Zhang |
| 2024 | CGS-Mask: Making Time Series Predictions Intuitive for All. Feng Lu, Wei Li, Yifei Sun, Cheng Song, Yufei Ren, Albert Y. Zomaya |
| 2024 | CHICOT: A Developer-Assistance Toolkit for Code Search with High-Level Contextual Information. Terufumi Morishita, Yuta Koreeda, Atsuki Yamaguchi, Gaku Morio, Osamu Imaichi, Yasuhiro Sogawa |
| 2024 | CHRONOS: A Schema-Based Event Understanding and Prediction System. Maria Chang, Achille Fokoue, Rosario Uceda-Sosa, Parul Awasthy, Ken Barker, Sadhana Kumaravel, Oktie Hassanzadeh, Elton F. S. Soares, Tian Gao, Debarun Bhattacharjya, Radu Florian, Salim Roukos |
| 2024 | CI-STHPAN: Pre-trained Attention Network for Stock Selection with Channel-Independent Spatio-Temporal Hypergraph. Hongjie Xia, Huijie Ao, Long Li, Yu Liu, Sen Liu, Guangnan Ye, Hongfeng Chai |
| 2024 | CIDR: A Cooperative Integrated Dynamic Refining Method for Minimal Feature Removal Problem. Qian Chen, Taolin Zhang, Dongyang Li, Xiaofeng He |
| 2024 | CK12: A Rounded K12 Knowledge Graph Based Benchmark for Chinese Holistic Cognition Evaluation. Weihao You, Pengcheng Wang, Changlong Li, Zhilong Ji, Jinfeng Bai |
| 2024 | CL2CM: Improving Cross-Lingual Cross-Modal Retrieval via Cross-Lingual Knowledge Transfer. Yabing Wang, Fan Wang, Jianfeng Dong, Hao Luo |
| 2024 | CLIM: Contrastive Language-Image Mosaic for Region Representation. Size Wu, Wenwei Zhang, Lumin Xu, Sheng Jin, Wentao Liu, Chen Change Loy |
| 2024 | CLIP-Gaze: Towards General Gaze Estimation via Visual-Linguistic Model. Pengwei Yin, Guanzhong Zeng, Jingjing Wang, Di Xie |
| 2024 | CLIP-Guided Federated Learning on Heterogeneity and Long-Tailed Data. Jiangming Shi, Shanshan Zheng, Xiangbo Yin, Yang Lu, Yuan Xie, Yanyun Qu |
| 2024 | CLIPSyntel: CLIP and LLM Synergy for Multimodal Question Summarization in Healthcare. Akash Ghosh, Arkadeep Acharya, Raghav Jain, Sriparna Saha, Aman Chadha, Setu Sinha |
| 2024 | CMDA: Cross-Modal and Domain Adversarial Adaptation for LiDAR-Based 3D Object Detection. Gyusam Chang, Wonseok Roh, Sujin Jang, Dongwook Lee, Daehyun Ji, Gyeongrok Oh, Jinsun Park, Jinkyu Kim, Sangpil Kim |
| 2024 | CMG-Net: Robust Normal Estimation for Point Clouds via Chamfer Normal Distance and Multi-Scale Geometry. Yingrui Wu, Mingyang Zhao, Keqiang Li, Weize Quan, Tianqi Yu, Jianfeng Yang, Xiaohong Jia, Dong-Ming Yan |
| 2024 | COMBAT: Alternated Training for Effective Clean-Label Backdoor Attacks. Tran Huynh, Dang Nguyen, Tung Pham, Anh Tran |
| 2024 | COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems. Hao Tian, Sourav Medya, Wei Ye |
| 2024 | COMMA: Co-articulated Multi-Modal Learning. Lianyu Hu, Liqing Gao, Zekang Liu, Chi-Man Pun, Wei Feng |
| 2024 | CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework. Rui Li, Liyang He, Qi Liu, Yuze Zhao, Zheng Zhang, Zhenya Huang, Yu Su, Shijin Wang |
| 2024 | COPD-FlowNet: Elevating Non-invasive COPD Diagnosis with CFD Simulations (Student Abstract). Aryan Tyagi, Aryaman Rao, Shubhanshu Rao, Raj Kumar Singh |
| 2024 | CORECODE: A Common Sense Annotated Dialogue Dataset with Benchmark Tasks for Chinese Large Language Models. Dan Shi, Chaobin You, Jiantao Huang, Taihao Li, Deyi Xiong |
| 2024 | CPN: Complementary Proposal Network for Unconstrained Text Detection. Longhuang Wu, Shangxuan Tian, Youxin Wang, Pengfei Xiong |
| 2024 | CR-SAM: Curvature Regularized Sharpness-Aware Minimization. Tao Wu, Tie Luo, Donald C. Wunsch II |
| 2024 | CRA-PCN: Point Cloud Completion with Intra- and Inter-level Cross-Resolution Transformers. Yi Rong, Haoran Zhou, Lixin Yuan, Cheng Mei, Jiahao Wang, Tong Lu |
| 2024 | CREAD: A Classification-Restoration Framework with Error Adaptive Discretization for Watch Time Prediction in Video Recommender Systems. Jie Sun, Zhaoying Ding, Xiaoshuang Chen, Qi Chen, Yincheng Wang, Kaiqiao Zhan, Ben Wang |
| 2024 | CSL: Class-Agnostic Structure-Constrained Learning for Segmentation Including the Unseen. Hao Zhang, Fang Li, Lu Qi, Ming-Hsuan Yang, Narendra Ahuja |
| 2024 | CTO-SLAM: Contour Tracking for Object-Level Robust 4D SLAM. Xiaohan Li, Dong Liu, Jun Wu |
| 2024 | CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning. Chenyu Sun, Hangwei Qian, Chunyan Miao |
| 2024 | CUTS+: High-Dimensional Causal Discovery from Irregular Time-Series. Yuxiao Cheng, Lianglong Li, Tingxiong Xiao, Zongren Li, Jinli Suo, Kunlun He, Qionghai Dai |
| 2024 | CaMIL: Causal Multiple Instance Learning for Whole Slide Image Classification. Kaitao Chen, Shiliang Sun, Jing Zhao |
| 2024 | Cached Transformers: Improving Transformers with Differentiable Memory Cachde. Zhaoyang Zhang, Wenqi Shao, Yixiao Ge, Xiaogang Wang, Jinwei Gu, Ping Luo |
| 2024 | Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space. Mohsin Hasan, Guojun Zhang, Kaiyang Guo, Xi Chen, Pascal Poupart |
| 2024 | CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion Models. Zhongxi Chen, Ke Sun, Xianming Lin |
| 2024 | Can LLM Replace Stack Overflow? A Study on Robustness and Reliability of Large Language Model Code Generation. Li Zhong, Zilong Wang |
| 2024 | Can LLMs Fix Issues with Reasoning Models? Towards More Likely Models for AI Planning. Turgay Caglar, Sirine Belhaj, Tathagata Chakraborti, Michael Katz, Sarath Sreedharan |
| 2024 | Can Large Language Models Serve as Rational Players in Game Theory? A Systematic Analysis. Caoyun Fan, Jindou Chen, Yaohui Jin, Hao He |
| 2024 | Can Large Language Models Understand Real-World Complex Instructions? Qianyu He, Jie Zeng, Wenhao Huang, Lina Chen, Jin Xiao, Qianxi He, Xunzhe Zhou, Jiaqing Liang, Yanghua Xiao |
| 2024 | Can You Rely on Synthetic Labellers in Preference-Based Reinforcement Learning? It's Complicated. Katherine Metcalf, Miguel Sarabia, Masha Fedzechkina, Barry-John Theobald |
| 2024 | Carbon Footprint Reduction for Sustainable Data Centers in Real-Time. Soumyendu Sarkar, Avisek Naug, Ricardo Luna, Antonio Guillen, Vineet Gundecha, Sahand Ghorbanpour, Sajad Mousavi, Dejan Markovikj, Ashwin Ramesh Babu |
| 2024 | CariesXrays: Enhancing Caries Detection in Hospital-Scale Panoramic Dental X-rays via Feature Pyramid Contrastive Learning. Bingzhi Chen, Sisi Fu, Yishu Liu, Jiahui Pan, Guangming Lu, Zheng Zhang |
| 2024 | CatFormer: Category-Level 6D Object Pose Estimation with Transformer. Sheng Yu, Di-Hua Zhai, Yuanqing Xia |
| 2024 | Catalyst for Clustering-Based Unsupervised Object Re-identification: Feature Calibration. Huafeng Li, Qingsong Hu, Zhanxuan Hu |
| 2024 | Catch-Up Mix: Catch-Up Class for Struggling Filters in CNN. Minsoo Kang, Minkoo Kang, Suhyun Kim |
| 2024 | CatmullRom Splines-Based Regression for Image Forgery Localization. Li Zhang, Mingliang Xu, Dong Li, Jianming Du, Rujing Wang |
| 2024 | Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces. Ahmad-Reza Ehyaei, Kiarash Mohammadi, Amir-Hossein Karimi, Samira Samadi, Golnoosh Farnadi |
| 2024 | Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis. Jie Qiao, Yu Xiang, Zhengming Chen, Ruichu Cai, Zhifeng Hao |
| 2024 | Causal Representation Learning via Counterfactual Intervention. Xiutian Li, Siqi Sun, Rui Feng |
| 2024 | Causal Strategic Learning with Competitive Selection. Kiet Q. H. Vo, Muneeb Aadil, Siu Lun Chau, Krikamol Muandet |
| 2024 | Causal Walk: Debiasing Multi-Hop Fact Verification with Front-Door Adjustment. Congzhi Zhang, Linhai Zhang, Deyu Zhou |
| 2024 | Causal-Driven Skill Prerequisite Structure Discovery. Shenbao Yu, Yifeng Zeng, Fan Yang, Yinghui Pan |
| 2024 | Causality-Inspired Invariant Representation Learning for Text-Based Person Retrieval. Yu Liu, Guihe Qin, Haipeng Chen, Zhiyong Cheng, Xun Yang |
| 2024 | Causally Aware Generative Adversarial Networks for Light Pollution Control. Yuyao Zhang, Ke Guo, Xiao Zhou |
| 2024 | Cautiously-Optimistic Knowledge Sharing for Cooperative Multi-Agent Reinforcement Learning. Yanwen Ba, Xuan Liu, Xinning Chen, Hao Wang, Yang Xu, Kenli Li, Shigeng Zhang |
| 2024 | CcDPM: A Continuous Conditional Diffusion Probabilistic Model for Inverse Design. Yanxuan Zhao, Peng Zhang, Guopeng Sun, Zhigong Yang, Jianqiang Chen, Yueqing Wang |
| 2024 | Ced-NeRF: A Compact and Efficient Method for Dynamic Neural Radiance Fields. Youtian Lin |
| 2024 | Cell Graph Transformer for Nuclei Classification. Wei Lou, Guanbin Li, Xiang Wan, Haofeng Li |
| 2024 | Chain of Generation: Multi-Modal Gesture Synthesis via Cascaded Conditional Control. Zunnan Xu, Yachao Zhang, Sicheng Yang, Ronghui Li, Xiu Li |
| 2024 | Chain-of-Thought Improves Text Generation with Citations in Large Language Models. Bin Ji, Huijun Liu, Mingzhe Du, See-Kiong Ng |
| 2024 | Characterizing Information Seeking Events in Health-Related Social Discourse. Omar Sharif, Madhusudan Basak, Tanzia Parvin, Ava Scharfstein, Alphonso Bradham, Jacob T. Borodovsky, Sarah E. Lord, Sarah Masud Preum |
| 2024 | Chasing Fairness in Graphs: A GNN Architecture Perspective. Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu |
| 2024 | ChatGPT-Generated Code Assignment Detection Using Perplexity of Large Language Models (Student Abstract). Zhenyu Xu, Ruoyu Xu, Victor S. Sheng |
| 2024 | Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing. Hanfei Yu, Jian Li, Yang Hua, Xu Yuan, Hao Wang |
| 2024 | Check-In Desk Scheduling Optimisation at CDG International Airport. Thibault Falque, Gilles Audemard, Christophe Lecoutre, Bertrand Mazure |
| 2024 | Chinese Spelling Correction as Rephrasing Language Model. Linfeng Liu, Hongqiu Wu, Hai Zhao |
| 2024 | ChromaFusionNet (CFNet): Natural Fusion of Fine-Grained Color Editing. Yi Dong, Yuxi Wang, Ruoxi Fan, Wenqi Ouyang, Zhiqi Shen, Peiran Ren, Xuansong Xie |
| 2024 | Chronic Poisoning: Backdoor Attack against Split Learning. Fangchao Yu, Bo Zeng, Kai Zhao, Zhi Pang, Lina Wang |
| 2024 | CityPulse: Fine-Grained Assessment of Urban Change with Street View Time Series. Tianyuan Huang, Zejia Wu, Jiajun Wu, Jackelyn Hwang, Ram Rajagopal |
| 2024 | Clarifying the Behavior and the Difficulty of Adversarial Training. Xu Cheng, Hao Zhang, Yue Xin, Wen Shen, Quanshi Zhang |
| 2024 | Class-Attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective. Xuechen Zhang, Mingchen Li, Jiasi Chen, Christos Thrampoulidis, Samet Oymak |
| 2024 | Closing the Gap: Achieving Better Accuracy-Robustness Tradeoffs against Query-Based Attacks. Pascal Zimmer, Sébastien Andreina, Giorgia Azzurra Marson, Ghassan Karame |
| 2024 | Cluster-Based Sampling in Hindsight Experience Replay for Robotic Tasks (Student Abstract). TaeYoung Kim, Dongsoo Har |
| 2024 | Co-designing AI Education Curriculum with Cross-Disciplinary High School Teachers. Benjamin Xie, Parth Sarin, Jacob Wolf, Raycelle C. C. Garcia, Victoria Delaney, Isabel Sieh, Anika Fuloria, Deepak Varuvel Dennison, Christine Bywater, Victor R. Lee |
| 2024 | CoLAL: Co-learning Active Learning for Text Classification. Linh Le, Genghong Zhao, Xia Zhang, Guido Zuccon, Gianluca Demartini |
| 2024 | CoPL: Contextual Prompt Learning for Vision-Language Understanding. Koustava Goswami, Srikrishna Karanam, Prateksha Udhayanan, K. J. Joseph, Balaji Vasan Srinivasan |
| 2024 | CoSTA: End-to-End Comprehensive Space-Time Entanglement for Spatio-Temporal Video Grounding. Yaoyuan Liang, Xiao Liang, Yansong Tang, Zhao Yang, Ziran Li, Jingang Wang, Wenbo Ding, Shao-Lun Huang |
| 2024 | CoVR: Learning Composed Video Retrieval from Web Video Captions. Lucas Ventura, Antoine Yang, Cordelia Schmid, Gül Varol |
| 2024 | Coalition Formation for Task Allocation Using Multiple Distance Metrics (Student Abstract). Tuhin Kumar Biswas, Avisek Gupta, Narayan Changder, Redha Taguelmimt, Samir Aknine, Samiran Chattopadhyay, Animesh Dutta |
| 2024 | Code-Style In-Context Learning for Knowledge-Based Question Answering. Zhijie Nie, Richong Zhang, Zhongyuan Wang, Xudong Liu |
| 2024 | Coevolutionary Algorithm for Building Robust Decision Trees under Minimax Regret. Adam Zychowski, Andrew Perrault, Jacek Mandziuk |
| 2024 | ColNeRF: Collaboration for Generalizable Sparse Input Neural Radiance Field. Zhangkai Ni, Peiqi Yang, Wenhan Yang, Hanli Wang, Lin Ma, Sam Kwong |
| 2024 | Collaborative Consortium of Foundation Models for Open-World Few-Shot Learning. Shuai Shao, Yu Bai, Yan Wang, Baodi Liu, Bin Liu |
| 2024 | Collaborative Learning across Heterogeneous Systems with Pre-Trained Models. Trong Nghia Hoang |
| 2024 | Collaborative Synthesis of Patient Records through Multi-Visit Health State Inference. Hongda Sun, Hongzhan Lin, Rui Yan |
| 2024 | Collaborative Tooth Motion Diffusion Model in Digital Orthodontics. Yeying Fan, Guangshun Wei, Chen Wang, Shaojie Zhuang, Wenping Wang, Yuanfeng Zhou |
| 2024 | Collaborative Weakly Supervised Video Correlation Learning for Procedure-Aware Instructional Video Analysis. Tianyao He, Huabin Liu, Yuxi Li, Xiao Ma, Cheng Zhong, Yang Zhang, Weiyao Lin |
| 2024 | Color Event Enhanced Single-Exposure HDR Imaging. Mengyao Cui, Zhigang Wang, Dong Wang, Bin Zhao, Xuelong Li |
| 2024 | Colored Noise in PPO: Improved Exploration and Performance through Correlated Action Sampling. Jakob J. Hollenstein, Georg Martius, Justus H. Piater |
| 2024 | Colorizing Monochromatic Radiance Fields. Yean Cheng, Renjie Wan, Shuchen Weng, Chengxuan Zhu, Yakun Chang, Boxin Shi |
| 2024 | Colour Passing Revisited: Lifted Model Construction with Commutative Factors. Malte Luttermann, Tanya Braun, Ralf Möller, Marcel Gehrke |
| 2024 | Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators. Sikai Bai, Shuaicheng Li, Weiming Zhuang, Jie Zhang, Kunlin Yang, Jun Hou, Shuai Yi, Shuai Zhang, Junyu Gao |
| 2024 | Combating Insider Threat in the Open-World Environments: Identification, Monitoring, and Data Augmentation. Dawei Zhou |
| 2024 | Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-supervised Medical Image Segmentation. Huimin Huang, Yawen Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Yuexiang Li, Yefeng Zheng |
| 2024 | Combinatorial Stochastic-Greedy Bandit. Fares Fourati, Christopher John Quinn, Mohamed-Slim Alouini, Vaneet Aggarwal |
| 2024 | Combining Deep Learning and Street View Imagery to Map Smallholder Crop Types. Jordi Laguarta Soler, Thomas Friedel, Sherrie Wang |
| 2024 | Combining Graph Transformers Based Multi-Label Active Learning and Informative Data Augmentation for Chest Xray Classification. Dwarikanath Mahapatra, Behzad Bozorgtabar, Zongyuan Ge, Mauricio Reyes, Jean-Philippe Thiran |
| 2024 | Combining Machine Learning and Queueing Theory for Data-Driven Incarceration-Diversion Program Management. Bingxuan Li, Antonio Castellanos, Pengyi Shi, Amy R. Ward |
| 2024 | Combining Multiple Supervision for Robust Zero-Shot Dense Retrieval. Yan Fang, Qingyao Ai, Jingtao Zhan, Yiqun Liu, Xiaolong Wu, Zhao Cao |
| 2024 | Commonsense for Zero-Shot Natural Language Video Localization. Meghana Holla, Ismini Lourentzou |
| 2024 | Communication Efficient Distributed Newton Method over Unreliable Networks. Ming Wen, Chengchang Liu, Yuedong Xu |
| 2024 | Communication-Efficient Collaborative Regret Minimization in Multi-Armed Bandits. Nikolai Karpov, Qin Zhang |
| 2024 | Compact HD Map Construction via Douglas-Peucker Point Transformer. Ruixin Liu, Zejian Yuan |
| 2024 | Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks. Anastasia Antsiferova, Khaled Abud, Aleksandr Gushchin, Ekaterina Shumitskaya, Sergey Lavrushkin, Dmitriy S. Vatolin |
| 2024 | Competition among Pairwise Lottery Contests. Xiaotie Deng, Hangxin Gan, Ningyuan Li, Weian Li, Qi Qi |
| 2024 | Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning. Dashan Gao, Sheng Wan, Lixin Fan, Xin Yao, Qiang Yang |
| 2024 | Complete Neural Networks for Complete Euclidean Graphs. Snir Hordan, Tal Amir, Steven J. Gortler, Nadav Dym |
| 2024 | Completing Priceable Committees: Utilitarian and Representation Guarantees for Proportional Multiwinner Voting. Markus Brill, Jannik Peters |
| 2024 | Complexity of Credulous and Skeptical Acceptance in Epistemic Argumentation Framework. Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna |
| 2024 | Complexity of Neural Network Training and ETR: Extensions with Effectively Continuous Functions. Teemu Hankala, Miika Hannula, Juha Kontinen, Jonni Virtema |
| 2024 | Component Fourier Neural Operator for Singularly Perturbed Differential Equations. Ye Li, Ting Du, Yiwen Pang, Zhongyi Huang |
| 2024 | Composing Biases by Using CP to Decompose Minimal Functional Dependencies for Acquiring Complex Formulae. Ramiz Gindullin, Nicolas Beldiceanu, Jovial Cheukam-Ngouonou, Rémi Douence, Claude-Guy Quimper |
| 2024 | Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees. Guang-Yuan Hao, Hengguan Huang, Haotian Wang, Jie Gao, Hao Wang |
| 2024 | Composite Sketch+Text Queries for Retrieving Objects with Elusive Names and Complex Interactions. Prajwal Gatti, Kshitij Parikh, Dhriti Prasanna Paul, Manish Gupta, Anand Mishra |
| 2024 | Compositional Generalization for Multi-Label Text Classification: A Data-Augmentation Approach. Yuyang Chai, Zhuang Li, Jiahui Liu, Lei Chen, Fei Li, Donghong Ji, Chong Teng |
| 2024 | Compositional Inversion for Stable Diffusion Models. Xulu Zhang, Xiao-Yong Wei, Jinlin Wu, Tianyi Zhang, Zhaoxiang Zhang, Zhen Lei, Qing Li |
| 2024 | Compositional Text-to-Image Synthesis with Attention Map Control of Diffusion Models. Ruichen Wang, Zekang Chen, Chen Chen, Jian Ma, Haonan Lu, Xiaodong Lin |
| 2024 | Compound Text-Guided Prompt Tuning via Image-Adaptive Cues. Hao Tan, Jun Li, Yizhuang Zhou, Jun Wan, Zhen Lei, Xiangyu Zhang |
| 2024 | Comprehensive View Embedding Learning for Single-Cell Multimodal Integration. Zhenchao Tang, Jiehui Huang, Guanxing Chen, Calvin Yu-Chian Chen |
| 2024 | Comprehensive Visual Grounding for Video Description. Wenhui Jiang, Yibo Cheng, Linxin Liu, Yuming Fang, Yuxin Peng, Yang Liu |
| 2024 | Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold. Alireza Ganjdanesh, Shangqian Gao, Hirad Alipanah, Heng Huang |
| 2024 | Computing Nash Equilibria in Potential Games with Private Uncoupled Constraints. Nikolas Patris, Stelios Stavroulakis, Fivos Kalogiannis, Rose Zhang, Ioannis Panageas |
| 2024 | Computing the Why-Provenance for Datalog Queries via SAT Solvers. Marco Calautti, Ester Livshits, Andreas Pieris, Markus Schneider |
| 2024 | ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record Generation. Brandon Theodorou, Shrusti Jain, Cao Xiao, Jimeng Sun |
| 2024 | ConVQG: Contrastive Visual Question Generation with Multimodal Guidance. Li Mi, Syrielle Montariol, Javiera Castillo Navarro, Xianjie Dai, Antoine Bosselut, Devis Tuia |
| 2024 | ConcaveQ: Non-monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning. Huiqun Li, Hanhan Zhou, Yifei Zou, Dongxiao Yu, Tian Lan |
| 2024 | Concealing Sensitive Samples against Gradient Leakage in Federated Learning. Jing Wu, Munawar Hayat, Mingyi Zhou, Mehrtash Harandi |
| 2024 | Concept-Guided Prompt Learning for Generalization in Vision-Language Models. Yi Zhang, Ce Zhang, Ke Yu, Yushun Tang, Zhihai He |
| 2024 | ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models. Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang |
| 2024 | ConditionVideo: Training-Free Condition-Guided Video Generation. Bo Peng, Xinyuan Chen, Yaohui Wang, Chaochao Lu, Yu Qiao |
| 2024 | Conditional Backdoor Attack via JPEG Compression. Qiuyu Duan, Zhongyun Hua, Qing Liao, Yushu Zhang, Leo Yu Zhang |
| 2024 | Conditional Variational Autoencoder for Sign Language Translation with Cross-Modal Alignment. Rui Zhao, Liang Zhang, Biao Fu, Cong Hu, Jinsong Su, Yidong Chen |
| 2024 | Confidence Is All You Need for MI Attacks (Student Abstract). Abhishek Sinha, Himanshi Tibrewal, Mansi Gupta, Nikhar Waghela, Shivank Garg |
| 2024 | Conformal Autoregressive Generation: Beam Search with Coverage Guarantees. Nicolas Deutschmann, Marvin Alberts, María Rodríguez Martínez |
| 2024 | Conformal Crystal Graph Transformer with Robust Encoding of Periodic Invariance. Yingheng Wang, Shufeng Kong, John M. Gregoire, Carla P. Gomes |
| 2024 | Conformal Prediction Regions for Time Series Using Linear Complementarity Programming. Matthew Cleaveland, Insup Lee, George J. Pappas, Lars Lindemann |
| 2024 | Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum. Shen Gao, Zhengliang Shi, Minghang Zhu, Bowen Fang, Xin Xin, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren |
| 2024 | Confusing Pair Correction Based on Category Prototype for Domain Adaptation under Noisy Environments. Churan Zhi, Junbao Zhuo, Shuhui Wang |
| 2024 | Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting. Muyao Wang, Wenchao Chen, Bo Chen |
| 2024 | ConsistNER: Towards Instructive NER Demonstrations for LLMs with the Consistency of Ontology and Context. Chenxiao Wu, Wenjun Ke, Peng Wang, Zhizhao Luo, Guozheng Li, Wanyi Chen |
| 2024 | Consistency-GAN: Training GANs with Consistency Model. Yunpeng Wang, Meng Pang, Shengbo Chen, Hong Rao |
| 2024 | Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration. Wonjeong Choi, Jungwuk Park, Dong-Jun Han, Younghyun Park, Jaekyun Moon |
| 2024 | ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference. Ziqian Zeng, Yihuai Hong, Hongliang Dai, Huiping Zhuang, Cen Chen |
| 2024 | Constrained Bayesian Optimization under Partial Observations: Balanced Improvements and Provable Convergence. Shengbo Wang, Ke Li |
| 2024 | Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming. Minjae Cho, Chuangchuang Sun |
| 2024 | Constraint Latent Space Matters: An Anti-anomalous Waveform Transformation Solution from Photoplethysmography to Arterial Blood Pressure. Cheng Bian, Xiaoyu Li, Qi Bi, Guangpu Zhu, Jiegeng Lyu, Weile Zhang, Yelei Li, Zijing Zeng |
| 2024 | Constructing Dreams Using Generative AI. Safinah Arshad Ali, Prerna Ravi, Randi Williams, Daniella DiPaola, Cynthia Breazeal |
| 2024 | ContactGen: Contact-Guided Interactive 3D Human Generation for Partners. Dongjun Gu, Jaehyeok Shim, Jaehoon Jang, Changwoo Kang, Kyungdon Joo |
| 2024 | Content Filtering with Inattentive Information Consumers. Ian Ball, James W. Bono, Justin Grana, Nicole Immorlica, Brendan Lucier, Aleksandrs Slivkins |
| 2024 | Context Enhanced Transformer for Single Image Object Detection in Video Data. Seungjun An, Seonghoon Park, Gyeongnyeon Kim, Jeongyeol Baek, Byeongwon Lee, Seungryong Kim |
| 2024 | Context-Aware Iteration Policy Network for Efficient Optical Flow Estimation. Ri Cheng, Ruian He, Xuhao Jiang, Shili Zhou, Weimin Tan, Bo Yan |
| 2024 | Context-I2W: Mapping Images to Context-Dependent Words for Accurate Zero-Shot Composed Image Retrieval. Yuanmin Tang, Jing Yu, Keke Gai, Jiamin Zhuang, Gang Xiong, Yue Hu, Qi Wu |
| 2024 | Contextual Pandora's Box. Alexia Atsidakou, Constantine Caramanis, Evangelia Gergatsouli, Orestis Papadigenopoulos, Christos Tzamos |
| 2024 | Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning. Guy Azran, Mohamad H. Danesh, Stefano V. Albrecht, Sarah Keren |
| 2024 | Continual Learning in an Open and Dynamic World. Yunhui Guo |
| 2024 | Continual Relation Extraction via Sequential Multi-Task Learning. Thanh-Thien Le, Manh Nguyen, Tung Thanh Nguyen, Ngo Van Linh, Thien Huu Nguyen |
| 2024 | Continual Vision-Language Retrieval via Dynamic Knowledge Rectification. Zhenyu Cui, Yuxin Peng, Xun Wang, Manyu Zhu, Jiahuan Zhou |
| 2024 | Continuous Piecewise-Affine Based Motion Model for Image Animation. Hexiang Wang, Fengqi Liu, Qianyu Zhou, Ran Yi, Xin Tan, Lizhuang Ma |
| 2024 | Continuous Rotation Group Equivariant Network Inspired by Neural Population Coding. Zhiqiang Chen, Yang Chen, Xiaolong Zou, Shan Yu |
| 2024 | Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing. Lokesh Nagalapatti, Akshay Iyer, Abir De, Sunita Sarawagi |
| 2024 | Continuous-Time Graph Representation with Sequential Survival Process. Abdulkadir Çelikkanat, Nikolaos Nakis, Morten Mørup |
| 2024 | ContraNovo: A Contrastive Learning Approach to Enhance De Novo Peptide Sequencing. Zhi Jin, Sheng Xu, Xiang Zhang, Tianze Ling, Nanqing Dong, Wanli Ouyang, Zhiqiang Gao, Cheng Chang, Siqi Sun |
| 2024 | Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation. Minqin Zhu, Anpeng Wu, Haoxuan Li, Ruoxuan Xiong, Bo Li, Xiaoqing Yang, Xuan Qin, Peng Zhen, Jiecheng Guo, Fei Wu, Kun Kuang |
| 2024 | Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation. Jiyong Li, Dilshod Azizov, Yang Li, Shangsong Liang |
| 2024 | Contrastive Credibility Propagation for Reliable Semi-supervised Learning. Brody Kutt, Pralay Ramteke, Xavier Mignot, Pamela Toman, Nandini Ramanan, Sujit Rokka Chhetri, Shan Huang, Min Du, William Hewlett |
| 2024 | Contrastive Learning for Low-Light Raw Denoising (Student Abstract). Taoyong Cui, Yuhan Dong |
| 2024 | Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget. Johannes Lehner, Benedikt Alkin, Andreas Fürst, Elisabeth Rumetshofer, Lukas Miklautz, Sepp Hochreiter |
| 2024 | Contributing Dimension Structure of Deep Feature for Coreset Selection. Zhijing Wan, Zhixiang Wang, Yuran Wang, Zheng Wang, Hongyuan Zhu, Shin'ichi Satoh |
| 2024 | Controllable 3D Face Generation with Conditional Style Code Diffusion. Xiaolong Shen, Jianxin Ma, Chang Zhou, Zongxin Yang |
| 2024 | Controllable Mind Visual Diffusion Model. Bohan Zeng, Shanglin Li, Xuhui Liu, Sicheng Gao, Xiaolong Jiang, Xu Tang, Yao Hu, Jianzhuang Liu, Baochang Zhang |
| 2024 | Controller-Guided Partial Label Consistency Regularization with Unlabeled Data. Qian-Wei Wang, Bowen Zhao, Mingyan Zhu, Tianxiang Li, Zimo Liu, Shu-Tao Xia |
| 2024 | Conversational Modeling for Constraint Satisfaction. Eugene C. Freuder |
| 2024 | Convolutional Channel-Wise Competitive Learning for the Forward-Forward Algorithm. Andreas Papachristodoulou, Christos Kyrkou, Stelios Timotheou, Theocharis Theocharides |
| 2024 | Convolutional Spectral Kernel Learning with Generalization Guarantees (Abstract Reprint). Jian Li, Yong Liu, Weiping Wang |
| 2024 | Cooper: Coordinating Specialized Agents towards a Complex Dialogue Goal. Yi Cheng, Wenge Liu, Jian Wang, Chak Tou Leong, Yi Ouyang, Wenjie Li, Xian Wu, Yefeng Zheng |
| 2024 | Cooperative Knowledge Distillation: A Learner Agnostic Approach. Michael J. Livanos, Ian Davidson, Stephen Wong |
| 2024 | Coordination of Emergent Demand Changes via Value-Based Negotiation for Supply Chain Management (Student Abstract). Takumu Shimizu, Ryota Higa, Katsuhide Fujita, Shinji Nakadai |
| 2024 | CoreRec: A Counterfactual Correlation Inference for Next Set Recommendation. Kexin Li, Chengjiang Long, Shengyu Zhang, Xudong Tang, Zhichao Zhai, Kun Kuang, Jun Xiao |
| 2024 | Coreference Graph Guidance for Mind-Map Generation. Zhuowei Zhang, Mengting Hu, Yinhao Bai, Zhen Zhang |
| 2024 | Correlation Matching Transformation Transformers for UHD Image Restoration. Cong Wang, Jinshan Pan, Wei Wang, Gang Fu, Siyuan Liang, Mengzhu Wang, Xiao-Ming Wu, Jun Liu |
| 2024 | Cost Minimization for Equilibrium Transition. Haoqiang Huang, Zihe Wang, Zhide Wei, Jie Zhang |
| 2024 | Count What You Want: Exemplar Identification and Few-Shot Counting of Human Actions in the Wild. Yifeng Huang, Duc Duy Nguyen, Lam Nguyen, Cuong Pham, Minh Hoai |
| 2024 | Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ (Abstract Reprint). Eoin Delaney, Arjun Pakrashi, Derek Greene, Mark T. Keane |
| 2024 | Counterfactual Graph Learning for Anomaly Detection with Feature Disentanglement and Generation (Student Abstract). Yutao Wei, Wenzheng Shu, Zhangtao Cheng, Wenxin Tai, Chunjing Xiao, Ting Zhong |
| 2024 | Counterfactual-Enhanced Information Bottleneck for Aspect-Based Sentiment Analysis. Mingshan Chang, Min Yang, Qingshan Jiang, Ruifeng Xu |
| 2024 | Coupled Confusion Correction: Learning from Crowds with Sparse Annotations. Hansong Zhang, Shikun Li, Dan Zeng, Chenggang Yan, Shiming Ge |
| 2024 | Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study. Qiyu Kang, Kai Zhao, Yang Song, Yihang Xie, Yanan Zhao, Sijie Wang, Rui She, Wee Peng Tay |
| 2024 | Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data. Xin Zou, Weiwei Liu |
| 2024 | Critic-Guided Decision Transformer for Offline Reinforcement Learning. Yuanfu Wang, Chao Yang, Ying Wen, Yu Liu, Yu Qiao |
| 2024 | Cross-Class Feature Augmentation for Class Incremental Learning. Taehoon Kim, Jaeyoo Park, Bohyung Han |
| 2024 | Cross-Constrained Progressive Inference for 3D Hand Pose Estimation with Dynamic Observer-Decision-Adjuster Networks. Zhehan Kan, Xueting Hu, Zihan Liao, Ke Yu, Zhihai He |
| 2024 | Cross-Covariate Gait Recognition: A Benchmark. Shinan Zou, Chao Fan, Jianbo Xiong, Chuanfu Shen, Shiqi Yu, Jin Tang |
| 2024 | Cross-Domain Contrastive Learning for Time Series Clustering. Furong Peng, Jiachen Luo, Xuan Lu, Sheng Wang, Feijiang Li |
| 2024 | Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer. Cheng Tan, Zhangyang Gao, Lirong Wu, Jun Xia, Jiangbin Zheng, Xihong Yang, Yue Liu, Bozhen Hu, Stan Z. Li |
| 2024 | Cross-Layer and Cross-Sample Feature Optimization Network for Few-Shot Fine-Grained Image Classification. Zhen-Xiang Ma, Zhen-Duo Chen, Li-Jun Zhao, Zi-Chao Zhang, Xin Luo, Xin-Shun Xu |
| 2024 | Cross-Modal Feature Distribution Calibration for Few-Shot Visual Question Answering. Jing Zhang, Xiaoqiang Liu, Mingzhe Chen, Zhe Wang |
| 2024 | Cross-Modal Match for Language Conditioned 3D Object Grounding. Yachao Zhang, Runze Hu, Ronghui Li, Yanyun Qu, Yuan Xie, Xiu Li |
| 2024 | Cross-Modal and Uni-Modal Soft-Label Alignment for Image-Text Retrieval. Hailang Huang, Zhijie Nie, Ziqiao Wang, Ziyu Shang |
| 2024 | Cross-Sentence Gloss Consistency for Continuous Sign Language Recognition. Qi Rao, Ke Sun, Xiaohan Wang, Qi Wang, Bang Zhang |
| 2024 | CrossBind: Collaborative Cross-Modal Identification of Protein Nucleic-Acid-Binding Residues. Linglin Jing, Sheng Xu, Yifan Wang, Yuzhe Zhou, Tao Shen, Zhigang Ji, Hui Fang, Zhen Li, Siqi Sun |
| 2024 | CrystalBox: Future-Based Explanations for Input-Driven Deep RL Systems. Sagar Patel, Sangeetha Abdu Jyothi, Nina Narodytska |
| 2024 | Cumulative Difference Learning VAE for Time-Series with Temporally Correlated Inflow-Outflow. Tianchun Li, Chengxiang Wu, Pengyi Shi, Xiaoqian Wang |
| 2024 | Cumulative Regret Analysis of the Piyavskii-Shubert Algorithm and Its Variants for Global Optimization. Kaan Gökcesu, Hakan Gökcesu |
| 2024 | Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over-Smoothness in Deep GNNs. Jin Li, Qirong Zhang, Shuling Xu, Xinlong Chen, Longkun Guo, Yang-Geng Fu |
| 2024 | Curvature-Invariant Adversarial Attacks for 3D Point Clouds. Jianping Zhang, Wenwei Gu, Yizhan Huang, Zhihan Jiang, Weibin Wu, Michael R. Lyu |
| 2024 | Curved Representation Space of Vision Transformers. Juyeop Kim, Junha Park, Songkuk Kim, Jong-Seok Lee |
| 2024 | Customizing Language Model Responses with Contrastive In-Context Learning. Xiang Gao, Kamalika Das |
| 2024 | CutFreq: Cut-and-Swap Frequency Components for Low-Level Vision Augmentation. Hongyang Chen, Kaisheng Ma |
| 2024 | CyberQ: Generating Questions and Answers for Cybersecurity Education Using Knowledge Graph-Augmented LLMs. Garima Agrawal, Kuntal Pal, Yuli Deng, Huan Liu, Ying-Chih Chen |
| 2024 | Cycle Self-Refinement for Multi-Source Domain Adaptation. Chaoyang Zhou, Zengmao Wang, Bo Du, Yong Luo |
| 2024 | Cycle-Consistency Learning for Captioning and Grounding. Ning Wang, Jiajun Deng, Mingbo Jia |
| 2024 | CycleVTON: A Cycle Mapping Framework for Parser-Free Virtual Try-On. Chenghu Du, Junyin Wang, Yi Rong, Shuqing Liu, Kai Liu, Shengwu Xiong |
| 2024 | D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations. Pengyue Jia, Yichao Wang, Shanru Lin, Xiaopeng Li, Xiangyu Zhao, Huifeng Guo, Ruiming Tang |
| 2024 | DA-Net: A Disentangled and Adaptive Network for Multi-Source Cross-Lingual Transfer Learning. Ling Ge, Chunming Hu, Guanghui Ma, Jihong Liu, Hong Zhang |
| 2024 | DAG-Aware Variational Autoencoder for Social Propagation Graph Generation. Dongpeng Hou, Chao Gao, Xuelong Li, Zhen Wang |
| 2024 | DALDet: Depth-Aware Learning Based Object Detection for Autonomous Driving. Ke Hu, Tongbo Cao, Yuan Li, Song Chen, Yi Kang |
| 2024 | DART: Dual-Modal Adaptive Online Prompting and Knowledge Retention for Test-Time Adaptation. Zichen Liu, Hongbo Sun, Yuxin Peng, Jiahuan Zhou |
| 2024 | DC-NAS: Divide-and-Conquer Neural Architecture Search for Multi-Modal Classification. Xinyan Liang, Pinhan Fu, Qian Guo, Keyin Zheng, Yuhua Qian |
| 2024 | DCLP: Neural Architecture Predictor with Curriculum Contrastive Learning. Shenghe Zheng, Hongzhi Wang, Tianyu Mu |
| 2024 | DCV2I: A Practical Approach for Supporting Geographers' Visual Interpretation in Dune Segmentation with Deep Vision Models. Anqi Lu, Zifeng Wu, Zheng Jiang, Wei Wang, Eerdun Hasi, Yi Wang |
| 2024 | DDAE: Towards Deep Dynamic Vision BERT Pretraining. Honghao Chen, Xiangwen Kong, Xiangyu Zhang, Xin Zhao, Kaiqi Huang |
| 2024 | DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior Mixup for Verified Robust Voice Conversion. Ha-Yeong Choi, Sang-Hoon Lee, Seong-Whan Lee |
| 2024 | DDViT: Double-Level Fusion Domain Adapter Vision Transformer (Student Abstract). Linpeng Sun, Victor S. Sheng |
| 2024 | DGA-GNN: Dynamic Grouping Aggregation GNN for Fraud Detection. Mingjiang Duan, Tongya Zheng, Yang Gao, Gang Wang, Zunlei Feng, Xinyu Wang |
| 2024 | DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization. Aritra Bhowmick, Mert Kosan, Zexi Huang, Ambuj K. Singh, Sourav Medya |
| 2024 | DGL: Dynamic Global-Local Prompt Tuning for Text-Video Retrieval. Xiangpeng Yang, Linchao Zhu, Xiaohan Wang, Yi Yang |
| 2024 | DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization. Wentse Chen, Shiyu Huang, Yuan Chiang, Tim Pearce, Wei-Wei Tu, Ting Chen, Jun Zhu |
| 2024 | DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning. Jincen Jiang, Lizhi Zhao, Xuequan Lu, Wei Hu, Imran Razzak, Meili Wang |
| 2024 | DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object Detection. Xiang Li, Junbo Yin, Wei Li, Chengzhong Xu, Ruigang Yang, Jianbing Shen |
| 2024 | DINGO: Towards Diverse and Fine-Grained Instruction-Following Evaluation. Zihui Gu, Xingwu Sun, Fengzong Lian, Zhanhui Kang, Chengzhong Xu, Ju Fan |
| 2024 | DISCount: Counting in Large Image Collections with Detector-Based Importance Sampling. Gustavo Pérez, Subhransu Maji, Daniel Sheldon |
| 2024 | DIUSum: Dynamic Image Utilization for Multimodal Summarization. Min Xiao, Junnan Zhu, Feifei Zhai, Yu Zhou, Chengqing Zong |
| 2024 | DLCA-Recon: Dynamic Loose Clothing Avatar Reconstruction from Monocular Videos. Chunjie Luo, Fei Luo, Yusen Wang, Enxu Zhao, Chunxia Xiao |
| 2024 | DME: Unveiling the Bias for Better Generalized Monocular Depth Estimation. Songsong Yu, Yifan Wang, Yunzhi Zhuge, Lijun Wang, Huchuan Lu |
| 2024 | DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mutual Reconstruction. Yiming Wang, Bin Zhang, Yujiao Tang |
| 2024 | DNIT: Enhancing Day-Night Image-to-Image Translation through Fine-Grained Feature Handling (Student Abstract). Hanyue Liu, Haonan Cheng, Long Ye |
| 2024 | DOCTR: Disentangled Object-Centric Transformer for Point Scene Understanding. Xiaoxuan Yu, Hao Wang, Weiming Li, Qiang Wang, SoonYong Cho, Younghun Sung |
| 2024 | DOGE-Train: Discrete Optimization on GPU with End-to-End Training. Ahmed Abbas, Paul Swoboda |
| 2024 | DP-AdamBC: Your DP-Adam Is Actually DP-SGD (Unless You Apply Bias Correction). Qiaoyue Tang, Frederick Shpilevskiy, Mathias Lécuyer |
| 2024 | DPA-P2PNet: Deformable Proposal-Aware P2PNet for Accurate Point-Based Cell Detection. Zhongyi Shui, Sunyi Zheng, Chenglu Zhu, Shichuan Zhang, Xiaoxuan Yu, Honglin Li, Jingxiong Li, Pingyi Chen, Lin Yang |
| 2024 | DQSSA: A Quantum-Inspired Solution for Maximizing Influence in Online Social Networks (Student Abstract). Aryaman Rao, Parth Singh, Dinesh Kumar Vishwakarma, Mukesh Prasad |
| 2024 | DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems. Bowen Wang, Chen Liang, Jiaze Wang, Jiezhong Qiu, Furui Liu, Shaogang Hao, Dong Li, Guangyong Chen, Xiaolong Zou, Pheng-Ann Heng |
| 2024 | DRF: Improving Certified Robustness via Distributional Robustness Framework. Zekai Wang, Zhengyu Zhou, Weiwei Liu |
| 2024 | DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning. Huiping Zhuang, Run He, Kai Tong, Ziqian Zeng, Cen Chen, Zhiping Lin |
| 2024 | DSD²: Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free? Victor Quétu, Enzo Tartaglione |
| 2024 | DTF-AT: Decoupled Time-Frequency Audio Transformer for Event Classification. Tony Alex, Sara Ahmed, Armin Mustafa, Muhammad Awais, Philip J. B. Jackson |
| 2024 | DTL: Disentangled Transfer Learning for Visual Recognition. Minghao Fu, Ke Zhu, Jianxin Wu |
| 2024 | DTMFormer: Dynamic Token Merging for Boosting Transformer-Based Medical Image Segmentation. Zhehao Wang, Xian Lin, Nannan Wu, Li Yu, Kwang-Ting Cheng, Zengqiang Yan |
| 2024 | DUEL: Duplicate Elimination on Active Memory for Self-Supervised Class-Imbalanced Learning. Won-Seok Choi, Hyundo Lee, Dong-Sig Han, Junseok Park, Heeyeon Koo, Byoung-Tak Zhang |
| 2024 | DVANet: Disentangling View and Action Features for Multi-View Action Recognition. Nyle Siddiqui, Praveen Tirupattur, Mubarak Shah |
| 2024 | DVSAI: Diverse View-Shared Anchors Based Incomplete Multi-View Clustering. Shengju Yu, Siwei Wang, Pei Zhang, Miao Wang, Ziming Wang, Zhe Liu, Liming Fang, En Zhu, Xinwang Liu |
| 2024 | DanceAnyWay: Synthesizing Beat-Guided 3D Dances with Randomized Temporal Contrastive Learning. Aneesh Bhattacharya, Manas Paranjape, Uttaran Bhattacharya, Aniket Bera |
| 2024 | DanceMVP: Self-Supervised Learning for Multi-Task Primitive-Based Dance Performance Assessment via Transformer Text Prompting. Yun Zhong, Yiannis Demiris |
| 2024 | Data Adaptive Traceback for Vision-Language Foundation Models in Image Classification. Wenshuo Peng, Kaipeng Zhang, Yue Yang, Hao Zhang, Yu Qiao |
| 2024 | Data Augmented Graph Neural Networks for Personality Detection. Yangfu Zhu, Yue Xia, Meiling Li, Tingting Zhang, Bin Wu |
| 2024 | Data Disparity and Temporal Unavailability Aware Asynchronous Federated Learning for Predictive Maintenance on Transportation Fleets. Leonie von Wahl, Niklas Heidenreich, Prasenjit Mitra, Michael Nolting, Nicolas Tempelmeier |
| 2024 | Data Distribution Distilled Generative Model for Generalized Zero-Shot Recognition. Yijie Wang, Mingjian Hong, Luwen Huangfu, Sheng Huang |
| 2024 | Data Efficient Paradigms for Personalized Assessment of Black-Box Taskable AI Systems. Pulkit Verma |
| 2024 | Data Poisoning to Fake a Nash Equilibria for Markov Games. Young Wu, Jeremy McMahan, Xiaojin Zhu, Qiaomin Xie |
| 2024 | Data Roaming and Quality Assessment for Composed Image Retrieval. Matan Levy, Rami Ben-Ari, Nir Darshan, Dani Lischinski |
| 2024 | Data Shunt: Collaboration of Small and Large Models for Lower Costs and Better Performance. Dong Chen, Yueting Zhuang, Shuo Zhang, Jinfeng Liu, Su Dong, Siliang Tang |
| 2024 | Data-Augmented Curriculum Graph Neural Architecture Search under Distribution Shifts. Yang Yao, Xin Wang, Yijian Qin, Ziwei Zhang, Wenwu Zhu, Hong Mei |
| 2024 | Data-Driven Discovery of Design Specifications (Student Abstract). Angela Chen, Nicholas Gisolfi, Artur Dubrawski |
| 2024 | Data-Driven Knowledge-Aware Inference of Private Information in Continuous Double Auctions. Lvye Cui, Haoran Yu |
| 2024 | Data-Driven Structural Fire Risk Prediction for City Properties. Rupasree Dey, Alan Fern |
| 2024 | Data-Efficient Graph Learning. Kaize Ding |
| 2024 | Data-Free Generalized Zero-Shot Learning. Bowen Tang, Jing Zhang, Long Yan, Qian Yu, Lu Sheng, Dong Xu |
| 2024 | Data-Free Hard-Label Robustness Stealing Attack. Xiaojian Yuan, Kejiang Chen, Wen Huang, Jie Zhang, Weiming Zhang, Nenghai Yu |
| 2024 | DataElixir: Purifying Poisoned Dataset to Mitigate Backdoor Attacks via Diffusion Models. Jiachen Zhou, Peizhuo Lv, Yibing Lan, Guozhu Meng, Kai Chen, Hualong Ma |
| 2024 | De-biased Attention Supervision for Text Classification with Causality. Yiquan Wu, Yifei Liu, Ziyu Zhao, Weiming Lu, Yating Zhang, Changlong Sun, Fei Wu, Kun Kuang |
| 2024 | DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations. Guojun Xiong, Gang Yan, Shiqiang Wang, Jian Li |
| 2024 | DeRDaVa: Deletion-Robust Data Valuation for Machine Learning. Xiao Tian, Rachael Hwee Ling Sim, Jue Fan, Bryan Kian Hsiang Low |
| 2024 | DeS3: Adaptive Attention-Driven Self and Soft Shadow Removal Using ViT Similarity. Yeying Jin, Wei Ye, Wenhan Yang, Yuan Yuan, Robby T. Tan |
| 2024 | Dealing with Numeric and Metric Time Constraints in PDDL3 via Compilation to Numeric Planning. Luigi Bonassi, Alfonso Emilio Gerevini, Enrico Scala |
| 2024 | Debiased Novel Category Discovering and Localization. Juexiao Feng, Yuhong Yang, Yanchun Xie, Yaqian Li, Yandong Guo, Yuchen Guo, Yuwei He, Liuyu Xiang, Guiguang Ding |
| 2024 | Debiasing Multimodal Sarcasm Detection with Contrastive Learning. Mengzhao Jia, Can Xie, Liqiang Jing |
| 2024 | DeblurSR: Event-Based Motion Deblurring under the Spiking Representation. Chen Song, Chandrajit Bajaj, Qixing Huang |
| 2024 | Decentralized Gradient-Free Methods for Stochastic Non-smooth Non-convex Optimization. Zhenwei Lin, Jingfan Xia, Qi Deng, Luo Luo |
| 2024 | Decentralized Monte Carlo Tree Search for Partially Observable Multi-Agent Pathfinding. Alexey Skrynnik, Anton Andreychuk, Konstantin S. Yakovlev, Aleksandr Panov |
| 2024 | Decentralized Scheduling with QoS Constraints: Achieving O(1) QoS Regret of Multi-Player Bandits. Qingsong Liu, Zhixuan Fang |
| 2024 | Decentralized Sum-of-Nonconvex Optimization. Zhuanghua Liu, Bryan Kian Hsiang Low |
| 2024 | Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation. Yu Wang, Zexue He, Zhankui He, Hao Xu, Julian J. McAuley |
| 2024 | Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees. Lue Tao, Yu-Xuan Huang, Wang-Zhou Dai, Yuan Jiang |
| 2024 | Decision-Making for Land Conservation: A Derivative-Free Optimization Framework with Nonlinear Inputs. Cassidy K. Buhler, Hande Y. Benson |
| 2024 | Decoding AI's Nudge: A Unified Framework to Predict Human Behavior in AI-Assisted Decision Making. Zhuoyan Li, Zhuoran Lu, Ming Yin |
| 2024 | Decoding Global Preferences: Temporal and Cooperative Dependency Modeling in Multi-Agent Preference-Based Reinforcement Learning. Tianchen Zhu, Yue Qiu, Haoyi Zhou, Jianxin Li |
| 2024 | Decomposing Constraint Networks for Calculating c-Representations. Marco Wilhelm, Gabriele Kern-Isberner |
| 2024 | Decomposing Semantic Shifts for Composed Image Retrieval. Xingyu Yang, Daqing Liu, Heng Zhang, Yong Luo, Chaoyue Wang, Jing Zhang |
| 2024 | Decomposing Temporal Equilibrium Strategy for Coordinated Distributed Multi-Agent Reinforcement Learning. Chenyang Zhu, Wen Si, Jinyu Zhu, Zhihao Jiang |
| 2024 | Decompositions in Compositional Translation of LTLf to DFA (Student Abstract). Yash Kankariya, Suguman Bansal |
| 2024 | Decouple Content and Motion for Conditional Image-to-Video Generation. Cuifeng Shen, Yulu Gan, Chen Chen, Xiongwei Zhu, Lele Cheng, Tingting Gao, Jinzhi Wang |
| 2024 | Decoupled Contrastive Learning for Long-Tailed Recognition. Shiyu Xuan, Shiliang Zhang |
| 2024 | Decoupled Contrastive Multi-View Clustering with High-Order Random Walks. Yiding Lu, Yijie Lin, Mouxing Yang, Dezhong Peng, Peng Hu, Xi Peng |
| 2024 | Decoupled Optimisation for Long-Tailed Visual Recognition. Cong Cong, Shiyu Xuan, Sidong Liu, Shiliang Zhang, Maurice Pagnucco, Yang Song |
| 2024 | Decoupled Textual Embeddings for Customized Image Generation. Yufei Cai, Yuxiang Wei, Zhilong Ji, Jinfeng Bai, Hu Han, Wangmeng Zuo |
| 2024 | Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning. Ximei Wang, Junwei Pan, Xingzhuo Guo, Dapeng Liu, Jie Jiang |
| 2024 | Decoupling Degradations with Recurrent Network for Video Restoration in Under-Display Camera. Chengxu Liu, Xuan Wang, Yuanting Fan, Shuai Li, Xueming Qian |
| 2024 | Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills. Hongcai He, Anjie Zhu, Shuang Liang, Feiyu Chen, Jie Shao |
| 2024 | Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling. Jie Han, Yixiong Zou, Haozhao Wang, Jun Wang, Wei Liu, Yao Wu, Tao Zhang, Ruixuan Li |
| 2024 | Decoupling User Relationships Guides Information Diffusion Prediction (Student Abstract). Wenxue Ye, Shichong Li, Zhangtao Cheng, Xovee Xu, Ting Zhong, Bei Hui, Fan Zhou |
| 2024 | Deep Active Learning with Noise Stability. Xingjian Li, Pengkun Yang, Yangcheng Gu, Xueying Zhan, Tianyang Wang, Min Xu, Chengzhong Xu |
| 2024 | Deep Contrastive Graph Learning with Clustering-Oriented Guidance. Mulin Chen, Bocheng Wang, Xuelong Li |
| 2024 | Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees. Weijia Zhang, Chun Kai Ling, Xuanhui Zhang |
| 2024 | Deep Hierarchical Video Compression. Ming Lu, Zhihao Duan, Fengqing Zhu, Zhan Ma |
| 2024 | Deep Homography Estimation for Visual Place Recognition. Feng Lu, Shuting Dong, Lijun Zhang, Bingxi Liu, Xiangyuan Lan, Dongmei Jiang, Chun Yuan |
| 2024 | Deep Incomplete Multi-View Learning Network with Insufficient Label Information. Zhangqi Jiang, Tingjin Luo, Xinyan Liang |
| 2024 | Deep Learning for Style Transfer and Experimentation with Audio Effects and Music Creation. Ada Tur |
| 2024 | Deep Learning on Graphs: A Data-Centric Exploration. Wei Jin |
| 2024 | Deep Linear Array Pushbroom Image Restoration: A Degradation Pipeline and Jitter-Aware Restoration Network. Zida Chen, Ziran Zhang, Haoying Li, Menghao Li, Yueting Chen, Qi Li, Huajun Feng, Zhihai Xu, Shiqi Chen |
| 2024 | Deep Quantum Error Correction. Yoni Choukroun, Lior Wolf |
| 2024 | Deep Reinforcement Learning for Communication Networks. Raffaele Galliera |
| 2024 | Deep Reinforcement Learning for Early Diagnosis of Lung Cancer. Yifan Wang, Qining Zhang, Lei Ying, Chuan Zhou |
| 2024 | Deep Semantic Graph Transformer for Multi-View 3D Human Pose Estimation. Lijun Zhang, Kangkang Zhou, Feng Lu, Xiang-Dong Zhou, Yu Shi |
| 2024 | Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks. Yankai Chen, Yixiang Fang, Qiongyan Wang, Xin Cao, Irwin King |
| 2024 | Deep Unfolded Network with Intrinsic Supervision for Pan-Sharpening. Hebaixu Wang, Meiqi Gong, Xiaoguang Mei, Hao Zhang, Jiayi Ma |
| 2024 | Deep Variational Incomplete Multi-View Clustering: Exploring Shared Clustering Structures. Gehui Xu, Jie Wen, Chengliang Liu, Bing Hu, Yicheng Liu, Lunke Fei, Wei Wang |
| 2024 | DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving. Tianqi Wang, Sukmin Kim, Wenxuan Ji, Enze Xie, Chongjian Ge, Junsong Chen, Zhenguo Li, Ping Luo |
| 2024 | DeepBern-Nets: Taming the Complexity of Certifying Neural Networks Using Bernstein Polynomial Activations and Precise Bound Propagation. Haitham Khedr, Yasser Shoukry |
| 2024 | DeepBranchTracer: A Generally-Applicable Approach to Curvilinear Structure Reconstruction Using Multi-Feature Learning. Chao Liu, Ting Zhao, Nenggan Zheng |
| 2024 | DeepCalliFont: Few-Shot Chinese Calligraphy Font Synthesis by Integrating Dual-Modality Generative Models. Yitian Liu, Zhouhui Lian |
| 2024 | DeepPointMap: Advancing LiDAR SLAM with Unified Neural Descriptors. Xiaze Zhang, Ziheng Ding, Qi Jing, Yuejie Zhang, Wenchao Ding, Rui Feng |
| 2024 | DeepSaDe: Learning Neural Networks That Guarantee Domain Constraint Satisfaction. Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel |
| 2024 | DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing. Conglong Li, Zhewei Yao, Xiaoxia Wu, Minjia Zhang, Connor Holmes, Cheng Li, Yuxiong He |
| 2024 | Defeasible Normative Reasoning: A Proof-Theoretic Integration of Logical Argumentation. Ofer Arieli, Kees van Berkel, Christian Straßer |
| 2024 | Defog Artificial Intelligence Glasses: Neural Networks for the Imperfect Real World. Nilton Rojas |
| 2024 | Defying Imbalanced Forgetting in Class Incremental Learning. Shixiong Xu, Gaofeng Meng, Xing Nie, Bolin Ni, Bin Fan, Shiming Xiang |
| 2024 | Delegation-Relegation for Boolean Matrix Factorization. Florent Avellaneda, Roger Villemaire |
| 2024 | Deletion-Robust Submodular Maximization with Knapsack Constraints. Shuang Cui, Kai Han, He Huang |
| 2024 | Delivering Inflated Explanations. Yacine Izza, Alexey Ignatiev, Peter J. Stuckey, João Marques-Silva |
| 2024 | Delving into Multimodal Prompting for Fine-Grained Visual Classification. Xin Jiang, Hao Tang, Junyao Gao, Xiaoyu Du, Shengfeng He, Zechao Li |
| 2024 | Demystifying Algorithmic Fairness in an Uncertain World. Lu Cheng |
| 2024 | DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning. Xinghao Wang, Junliang He, Pengyu Wang, Yunhua Zhou, Tianxiang Sun, Xipeng Qiu |
| 2024 | Dense Projection for Anomaly Detection. Dazhi Fu, Zhao Zhang, Jicong Fan |
| 2024 | Density Matters: Improved Core-Set for Active Domain Adaptive Segmentation. Shizhan Liu, Zhengkai Jiang, Yuxi Li, Jinlong Peng, Yabiao Wang, Weiyao Lin |
| 2024 | Dependency Structure-Enhanced Graph Attention Networks for Event Detection. Qizhi Wan, Changxuan Wan, Keli Xiao, Kun Lu, Chenliang Li, Xiping Liu, Dexi Liu |
| 2024 | Deploying ADVISER: Impact and Lessons from Using Artificial Intelligence for Child Vaccination Uptake in Nigeria. Opadele Kehinde, Ruth Abdul, Bose Afolabi, Parminder Vir, Corinne Namblard, Ayan Mukhopadhyay, Abiodun Adereni |
| 2024 | Depression Detection via Capsule Networks with Contrastive Learning. Han Liu, Changya Li, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang |
| 2024 | Depth-Guided Robust and Fast Point Cloud Fusion NeRF for Sparse Input Views. Shuai Guo, Qiuwen Wang, Yijie Gao, Rong Xie, Li Song |
| 2024 | Descanning: From Scanned to the Original Images with a Color Correction Diffusion Model. Junghun Cha, Ali Haider, Seoyun Yang, Hoeyeong Jin, Subin Yang, A. F. M. Shahab Uddin, Jaehyoung Kim, Soo Ye Kim, Sung-Ho Bae |
| 2024 | Designing Biological Sequences without Prior Knowledge Using Evolutionary Reinforcement Learning. Xi Zeng, Xiaotian Hao, Hongyao Tang, Zhentao Tang, Shaoqing Jiao, Dazhi Lu, Jiajie Peng |
| 2024 | Detect Any Keypoints: An Efficient Light-Weight Few-Shot Keypoint Detector. Changsheng Lu, Piotr Koniusz |
| 2024 | Detecting AI-Generated Code Assignments Using Perplexity of Large Language Models. Zhenyu Xu, Victor S. Sheng |
| 2024 | Detecting and Preventing Hallucinations in Large Vision Language Models. Anisha Gunjal, Jihan Yin, Erhan Bas |
| 2024 | Detection and Defense of Unlearnable Examples. Yifan Zhu, Lijia Yu, Xiao-Shan Gao |
| 2024 | Detection-Based Intermediate Supervision for Visual Question Answering. Yuhang Liu, Daowan Peng, Wei Wei, Yuanyuan Fu, Wenfeng Xie, Dangyang Chen |
| 2024 | Devignet: High-Resolution Vignetting Removal via a Dual Aggregated Fusion Transformer with Adaptive Channel Expansion. Shenghong Luo, Xuhang Chen, Weiwen Chen, Zinuo Li, Shuqiang Wang, Chi-Man Pun |
| 2024 | DexFuncGrasp: A Robotic Dexterous Functional Grasp Dataset Constructed from a Cost-Effective Real-Simulation Annotation System. Jinglue Hang, Xiangbo Lin, Tianqiang Zhu, Xuanheng Li, Rina Wu, Xiaohong Ma, Yi Sun |
| 2024 | DiDA: Disambiguated Domain Alignment for Cross-Domain Retrieval with Partial Labels. Haoran Liu, Ying Ma, Ming Yan, Yingke Chen, Dezhong Peng, Xu Wang |
| 2024 | DiG-In-GNN: Discriminative Feature Guided GNN-Based Fraud Detector against Inconsistencies in Multi-Relation Fraud Graph. Jinghui Zhang, Zhengjia Xu, Dingyang Lv, Zhan Shi, Dian Shen, Jiahui Jin, Fang Dong |
| 2024 | DiSCO: Diffusion Schrödinger Bridge for Molecular Conformer Optimization. Danyeong Lee, Dohoon Lee, Dongmin Bang, Sun Kim |
| 2024 | Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach. Ziliang Chen, Yongsen Zheng, Zhao-Rong Lai, Quanlong Guan, Liang Lin |
| 2024 | Dialogue for Prompting: A Policy-Gradient-Based Discrete Prompt Generation for Few-Shot Learning. Chengzhengxu Li, Xiaoming Liu, Yichen Wang, Duyi Li, Yu Lan, Chao Shen |
| 2024 | Dialogues Are Not Just Text: Modeling Cognition for Dialogue Coherence Evaluation. Xue Li, Jia Su, Yang Yang, Zipeng Gao, Xinyu Duan, Yi Guan |
| 2024 | DifAttack: Query-Efficient Black-Box Adversarial Attack via Disentangled Feature Space. Jun Liu, Jiantao Zhou, Jiandian Zeng, Jinyu Tian |
| 2024 | DiffAIL: Diffusion Adversarial Imitation Learning. Bingzheng Wang, Guoqiang Wu, Teng Pang, Yan Zhang, Yilong Yin |
| 2024 | DiffBEV: Conditional Diffusion Model for Bird's Eye View Perception. Jiayu Zou, Kun Tian, Zheng Zhu, Yun Ye, Xingang Wang |
| 2024 | DiffRAW: Leveraging Diffusion Model to Generate DSLR-Comparable Perceptual Quality sRGB from Smartphone RAW Images. Mingxin Yi, Kai Zhang, Pei Liu, Tanli Zuo, Jingduo Tian |
| 2024 | DiffSED: Sound Event Detection with Denoising Diffusion. Swapnil Bhosale, Sauradip Nag, Diptesh Kanojia, Jiankang Deng, Xiatian Zhu |
| 2024 | Differentiable Auxiliary Learning for Sketch Re-Identification. Xingyu Liu, Xu Cheng, Haoyu Chen, Hao Yu, Guoying Zhao |
| 2024 | Diffusion Language-Shapelets for Semi-supervised Time-Series Classification. Zhen Liu, Wenbin Pei, Disen Lan, Qianli Ma |
| 2024 | DiffusionEdge: Diffusion Probabilistic Model for Crisp Edge Detection. Yunfan Ye, Kai Xu, Yuhang Huang, Renjiao Yi, Zhiping Cai |
| 2024 | DiffusionTrack: Diffusion Model for Multi-Object Tracking. Run Luo, Zikai Song, Lintao Ma, Jinlin Wei, Wei Yang, Min Yang |
| 2024 | Digital Twin-Driven Teat Localization and Shape Identification for Dairy Cow (Student Abstract). Aarushi Gupta, Yuexing Hao, Yuting Yang, Tiancheng Yuan, Matthias Wieland, Parminder S. Basran, Ken Birman |
| 2024 | Direct Amortized Likelihood Ratio Estimation. Adam D. Cobb, Brian Matejek, Daniel Elenius, Anirban Roy, Susmit Jha |
| 2024 | Direct May Not Be the Best: An Incremental Evolution View of Pose Generation. Yuelong Li, Tengfei Xiao, Lei Geng, Jianming Wang |
| 2024 | Directed Diffusion: Direct Control of Object Placement through Attention Guidance. Wan-Duo Kurt Ma, Avisek Lahiri, John P. Lewis, Thomas Leung, W. Bastiaan Kleijn |
| 2024 | Direction-Aware Video Demoiréing with Temporal-Guided Bilateral Learning. Shuning Xu, Binbin Song, Xiangyu Chen, Jiantao Zhou |
| 2024 | Dirichlet-Based Prediction Calibration for Learning with Noisy Labels. Chen-Chen Zong, Ye-Wen Wang, Ming-Kun Xie, Sheng-Jun Huang |
| 2024 | Discerning Temporal Difference Learning. Jianfei Ma |
| 2024 | Discovering Agents (Abstract Reprint). Zachary Kenton, Ramana Kumar, Sebastian Farquhar, Jonathan Richens, Matt MacDermott, Tom Everitt |
| 2024 | Discovering Heterogeneous Causal Effects in Relational Data. Shishir Adhikari |
| 2024 | Discovering Sequential Patterns with Predictable Inter-event Delays. Joscha Cüppers, Paul Krieger, Jilles Vreeken |
| 2024 | Discrepancy and Uncertainty Aware Denoising Knowledge Distillation for Zero-Shot Cross-Lingual Named Entity Recognition. Ling Ge, Chunming Hu, Guanghui Ma, Jihong Liu, Hong Zhang |
| 2024 | Discrete Cycle-Consistency Based Unsupervised Deep Graph Matching. Siddharth Tourani, Muhammad Haris Khan, Carsten Rother, Bogdan Savchynskyy |
| 2024 | Discretionary Trees: Understanding Street-Level Bureaucracy via Machine Learning. Gaurab Pokharel, Sanmay Das, Patrick J. Fowler |
| 2024 | Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression. Xuanlong Yu, Gianni Franchi, Jindong Gu, Emanuel Aldea |
| 2024 | Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks. Junjie Chen, Jiahao Li, Chen Song, Bin Li, Qingcai Chen, Hongchang Gao, Wendy Hui Wang, Zenglin Xu, Xinghua Shi |
| 2024 | Discriminatively Fuzzy Multi-View K-means Clustering with Local Structure Preserving. Jun Yin, Shiliang Sun, Lai Wei, Pei Wang |
| 2024 | Disentangled Diffusion-Based 3D Human Pose Estimation with Hierarchical Spatial and Temporal Denoiser. Qingyuan Cai, Xuecai Hu, Saihui Hou, Li Yao, Yongzhen Huang |
| 2024 | Disentangled Partial Label Learning. Wei-Xuan Bao, Yong Rui, Min-Ling Zhang |
| 2024 | Disentanglement-Guided Spatial-Temporal Graph Neural Network for Metro Flow Forecasting (Student Abstract). Jinyu Hong, Ping Kuang, Qiang Gao, Fan Zhou |
| 2024 | Disguise without Disruption: Utility-Preserving Face De-identification. Zikui Cai, Zhongpai Gao, Benjamin Planche, Meng Zheng, Terrence Chen, M. Salman Asif, Ziyan Wu |
| 2024 | Disjoint Partial Enumeration without Blocking Clauses. Giuseppe Spallitta, Roberto Sebastiani, Armin Biere |
| 2024 | Dissenting Explanations: Leveraging Disagreement to Reduce Model Overreliance. Omer Reingold, Judy Hanwen Shen, Aditi Talati |
| 2024 | DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition. Sijie Wang, Rui She, Qiyu Kang, Xingchao Jian, Kai Zhao, Yang Song, Wee Peng Tay |
| 2024 | Distilling Autoregressive Models to Obtain High-Performance Non-autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed. Yubin Xiao, Di Wang, Boyang Li, Mingzhao Wang, Xuan Wu, Changliang Zhou, You Zhou |
| 2024 | Distilling Reliable Knowledge for Instance-Dependent Partial Label Learning. Dong-Dong Wu, Deng-Bao Wang, Min-Ling Zhang |
| 2024 | Distributed Manifold Hashing for Image Set Classification and Retrieval. Xiaobo Shen, Peizhuo Song, Yun-Hao Yuan, Yuhui Zheng |
| 2024 | Distribution Matching for Multi-Task Learning of Classification Tasks: A Large-Scale Study on Faces & Beyond. Dimitrios Kollias, Viktoriia Sharmanska, Stefanos Zafeiriou |
| 2024 | Distribution-Conditioned Adversarial Variational Autoencoder for Valid Instrumental Variable Generation. Xinshu Li, Lina Yao |
| 2024 | Distributional Off-Policy Evaluation for Slate Recommendations. Shreyas Chaudhari, David Arbour, Georgios Theocharous, Nikos Vlassis |
| 2024 | Divergence-Guided Simultaneous Speech Translation. Xinjie Chen, Kai Fan, Wei Luo, Linlin Zhang, Libo Zhao, Xinggao Liu, Zhongqiang Huang |
| 2024 | Diverse Person: Customize Your Own Dataset for Text-Based Person Search. Zifan Song, Guosheng Hu, Cairong Zhao |
| 2024 | Diverse Yet Biased: Towards Mitigating Biases in Generative AI (Student Abstract). Akshit Singh |
| 2024 | Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation. Guy Yariv, Itai Gat, Sagie Benaim, Lior Wolf, Idan Schwartz, Yossi Adi |
| 2024 | Diverse and Stable 2D Diffusion Guided Text to 3D Generation with Noise Recalibration. Xiaofeng Yang, Fayao Liu, Yi Xu, Hanjing Su, Qingyao Wu, Guosheng Lin |
| 2024 | Diversity-Authenticity Co-constrained Stylization for Federated Domain Generalization in Person Re-identification. Fengxiang Yang, Zhun Zhong, Zhiming Luo, Yifan He, Shaozi Li, Nicu Sebe |
| 2024 | Divide and Conquer: Hybrid Pre-training for Person Search. Yanling Tian, Di Chen, Yunan Liu, Jian Yang, Shanshan Zhang |
| 2024 | Divide-and-Aggregate Learning for Evaluating Performance on Unlabeled Data. Shuyu Miao, Jian Liu, Lin Zheng, Hong Jin |
| 2024 | DocFormerv2: Local Features for Document Understanding. Srikar Appalaraju, Peng Tang, Qi Dong, Nishant Sankaran, Yichu Zhou, R. Manmatha |
| 2024 | DocMSU: A Comprehensive Benchmark for Document-Level Multimodal Sarcasm Understanding. Hang Du, Guoshun Nan, Sicheng Zhang, Binzhu Xie, Junrui Xu, Hehe Fan, Qimei Cui, Xiaofeng Tao, Xudong Jiang |
| 2024 | DocNLC: A Document Image Enhancement Framework with Normalized and Latent Contrastive Representation for Multiple Degradations. Ruilu Wang, Yang Xue, Lianwen Jin |
| 2024 | Does Any AI-Based Activity Contribute to Develop AI Conception? A Case Study with Italian Fifth and Sixth Grade Classes. Matteo Baldoni, Cristina Baroglio, Monica Bucciarelli, Sara Capecchi, Elena Gandolfi, Cristina Gena, Francesco Ianì, Elisa Marengo, Roberto Micalizio, Amon Rapp, Ivan Nabil Ras |
| 2024 | Does Few-Shot Learning Suffer from Backdoor Attacks? Xinwei Liu, Xiaojun Jia, Jindong Gu, Yuan Xun, Siyuan Liang, Xiaochun Cao |
| 2024 | Does Robin Hood Use a Lightsaber?: Automated Planning for Storytelling. Nisha Simon |
| 2024 | Domain Engineering to Represent Human Behavior Using Multi-Agent Planning and Inductive Methodologies. Salena Torres Ashton |
| 2024 | Domain Generalizable Person Search Using Unreal Dataset. Minyoung Oh, Duhyun Kim, Jae-Young Sim |
| 2024 | Domain Generalization with Vital Phase Augmentation. Ingyun Lee, Wooju Lee, Hyun Myung |
| 2024 | Domain Invariant Learning for Gaussian Processes and Bayesian Exploration. Xilong Zhao, Siyuan Bian, Yaoyun Zhang, Yuliang Zhang, Qinying Gu, Xinbing Wang, Chenghu Zhou, Nanyang Ye |
| 2024 | Domain-Aware Fine-Tuning: Enhancing Neural Network Adaptability. Seokhyeon Ha, Sunbeom Jeong, Jungwoo Lee |
| 2024 | Domain-Controlled Prompt Learning. Qinglong Cao, Zhengqin Xu, Yuntian Chen, Chao Ma, Xiaokang Yang |
| 2024 | Domain-Hallucinated Updating for Multi-Domain Face Anti-spoofing. Chengyang Hu, Ke-Yue Zhang, Taiping Yao, Shice Liu, Shouhong Ding, Xin Tan, Lizhuang Ma |
| 2024 | Double Auction on Diffusion Network. Miao Li, Yuhan Cao, Dengji Zhao |
| 2024 | Double Buffers CEM-TD3: More Efficient Evolution and Richer Exploration. Sheng Zhu, Chun Shen, Shuai Lü, Junhong Wu, Daolong An |
| 2024 | Double-Bounded Optimal Transport for Advanced Clustering and Classification. Liangliang Shi, Zhaoqi Shen, Junchi Yan |
| 2024 | Double-Descent Curves in Neural Networks: A New Perspective Using Gaussian Processes. Ouns El Harzli, Bernardo Cuenca Grau, Guillermo Valle Pérez, Ard A. Louis |
| 2024 | Double-Layer Hybrid-Label Identification Feature Selection for Multi-View Multi-Label Learning. Pingting Hao, Kunpeng Liu, Wanfu Gao |
| 2024 | Doubly Perturbed Task Free Continual Learning. Byung Hyun Lee, Min-hwan Oh, Se Young Chun |
| 2024 | Dr. R.O. Bott Will See You Now: Exploring AI for Wellbeing with Middle School Students. Randi Williams, Sharifa Alghowinem, Cynthia Breazeal |
| 2024 | DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency. Wenfang Yao, Kejing Yin, William K. Cheung, Jia Liu, Jing Qin |
| 2024 | DreamIdentity: Enhanced Editability for Efficient Face-Identity Preserved Image Generation. Zhuowei Chen, Shancheng Fang, Wei Liu, Qian He, Mengqi Huang, Zhendong Mao |
| 2024 | DreamStyler: Paint by Style Inversion with Text-to-Image Diffusion Models. Namhyuk Ahn, Junsoo Lee, Chunggi Lee, Kunhee Kim, Daesik Kim, Seung-Hun Nam, Kibeom Hong |
| 2024 | Dual Mapping of 2D StyleGAN for 3D-Aware Image Generation and Manipulation (Student Abstract). Zhuo Chen, Haimei Zhao, Chaoyue Wang, Bo Yuan, Xiu Li |
| 2024 | Dual Self-Paced Cross-Modal Hashing. Yuan Sun, Jian Dai, Zhenwen Ren, Yingke Chen, Dezhong Peng, Peng Hu |
| 2024 | Dual-Channel Learning Framework for Drug-Drug Interaction Prediction via Relation-Aware Heterogeneous Graph Transformer. Xiaorui Su, Pengwei Hu, Zhu-Hong You, Philip S. Yu, Lun Hu |
| 2024 | Dual-Level Curriculum Meta-Learning for Noisy Few-Shot Learning Tasks. Xiaofan Que, Qi Yu |
| 2024 | Dual-Perspective Knowledge Enrichment for Semi-supervised 3D Object Detection. Yucheng Han, Na Zhao, Weiling Chen, Keng Teck Ma, Hanwang Zhang |
| 2024 | Dual-Prior Augmented Decoding Network for Long Tail Distribution in HOI Detection. Jiayi Gao, Kongming Liang, Tao Wei, Wei Chen, Zhanyu Ma, Jun Guo |
| 2024 | Dual-View Whitening on Pre-trained Text Embeddings for Sequential Recommendation. Lingzi Zhang, Xin Zhou, Zhiwei Zeng, Zhiqi Shen |
| 2024 | Dual-Window Multiscale Transformer for Hyperspectral Snapshot Compressive Imaging. Fulin Luo, Xi Chen, Xiuwen Gong, Weiwen Wu, Tan Guo |
| 2024 | Dynamic Budget Throttling in Repeated Second-Price Auctions. Zhaohua Chen, Chang Wang, Qian Wang, Yuqi Pan, Zhuming Shi, Zheng Cai, Yukun Ren, Zhihua Zhu, Xiaotie Deng |
| 2024 | Dynamic Feature Pruning and Consolidation for Occluded Person Re-identification. Yuteng Ye, Hang Zhou, Jiale Cai, Chenxing Gao, Youjia Zhang, Junle Wang, Qiang Hu, Junqing Yu, Wei Yang |
| 2024 | Dynamic Knowledge Injection for AIXI Agents. Samuel Yang-Zhao, Kee Siong Ng, Marcus Hutter |
| 2024 | Dynamic Reactive Spiking Graph Neural Network. Han Zhao, Xu Yang, Cheng Deng, Junchi Yan |
| 2024 | Dynamic Regret of Adversarial MDPs with Unknown Transition and Linear Function Approximation. Long-Fei Li, Peng Zhao, Zhi-Hua Zhou |
| 2024 | Dynamic Semantic-Based Spatial Graph Convolution Network for Skeleton-Based Human Action Recognition. Jianyang Xie, Yanda Meng, Yitian Zhao, Anh Nguyen, Xiaoyun Yang, Yalin Zheng |
| 2024 | Dynamic Spiking Graph Neural Networks. Nan Yin, Mengzhu Wang, Zhenghan Chen, Giulia De Masi, Huan Xiong, Bin Gu |
| 2024 | Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning. Yan Fan, Yu Wang, Pengfei Zhu, Qinghua Hu |
| 2024 | Dynamic Tangled Derivative Logic of Metric Spaces. David Fernández-Duque, Yoàv Montacute |
| 2024 | Dynamic Weighted Combiner for Mixed-Modal Image Retrieval. Fuxiang Huang, Lei Zhang, Xiaowei Fu, Suqi Song |
| 2024 | E2E-AT: A Unified Framework for Tackling Uncertainty in Task-Aware End-to-End Learning. Wangkun Xu, Jianhong Wang, Fei Teng |
| 2024 | E2HQV: High-Quality Video Generation from Event Camera via Theory-Inspired Model-Aided Deep Learning. Qiang Qu, Yiran Shen, Xiaoming Chen, Yuk Ying Chung, Tongliang Liu |
| 2024 | EAN: An Efficient Attention Module Guided by Normalization for Deep Neural Networks. Jiafeng Li, Zelin Li, Ying Wen |
| 2024 | EAT: Towards Long-Tailed Out-of-Distribution Detection. Tong Wei, Bo-Lin Wang, Min-Ling Zhang |
| 2024 | ECHO-GL: Earnings Calls-Driven Heterogeneous Graph Learning for Stock Movement Prediction. Mengpu Liu, Mengying Zhu, Xiuyuan Wang, Guofang Ma, Jianwei Yin, Xiaolin Zheng |
| 2024 | EDA: Evolving and Distinct Anchors for Multimodal Motion Prediction. Longzhong Lin, Xuewu Lin, Tianwei Lin, Lichao Huang, Rong Xiong, Yue Wang |
| 2024 | EG-NAS: Neural Architecture Search with Fast Evolutionary Exploration. Zicheng Cai, Lei Chen, Peng Liu, Tongtao Ling, Yutao Lai |
| 2024 | EMGAN: Early-Mix-GAN on Extracting Server-Side Model in Split Federated Learning. Jingtao Li, Xing Chen, Li Yang, Adnan Siraj Rakin, Deliang Fan, Chaitali Chakrabarti |
| 2024 | EPSD: Early Pruning with Self-Distillation for Efficient Model Compression. Dong Chen, Ning Liu, Yichen Zhu, Zhengping Che, Rui Ma, Fachao Zhang, Xiaofeng Mou, Yi Chang, Jian Tang |
| 2024 | ERL-TD: Evolutionary Reinforcement Learning Enhanced with Truncated Variance and Distillation Mutation. Qiuzhen Lin, Yangfan Chen, Lijia Ma, Wei-Neng Chen, Jianqiang Li |
| 2024 | ESG Accountability Made Easy: DocQA at Your Service. Lokesh Mishra, Cesar Berrospi, Kasper Dinkla, Diego Antognini, Francesco Fusco, Benedikt Bothur, Maksym Lysak, Nikolaos Livathinos, Ahmed S. Nassar, Panagiotis Vagenas, Lucas Morin, Christoph Auer, Michele Dolfi, Peter W. J. Staar |
| 2024 | ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation. Chenglong Wang, Hang Zhou, Yimin Hu, Yifu Huo, Bei Li, Tongran Liu, Tong Xiao, Jingbo Zhu |
| 2024 | ETDPC: A Multimodality Framework for Classifying Pages in Electronic Theses and Dissertations. Muntabir Hasan Choudhury, Lamia Salsabil, William A. Ingram, Edward A. Fox, Jian Wu |
| 2024 | EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE. Junyi Chen, Longteng Guo, Jia Sun, Shuai Shao, Zehuan Yuan, Liang Lin, Dongyu Zhang |
| 2024 | Early Detection of Extreme Storm Tide Events Using Multimodal Data Processing. Marcel R. de Barros, Andressa Pinto, Andres Monroy, Felipe M. Moreno, Jefferson F. Coelho, Aldomar Pietro Silva, Caio Fabricio Deberaldini Netto, José Roberto Leite, Marlon S. Mathias, Eduardo Aoun Tannuri, Artur Jordão, Edson S. Gomi, Fábio G. Cozman, Marcelo Dottori, Anna Helena Reali Costa |
| 2024 | EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading. Molei Qin, Shuo Sun, Wentao Zhang, Haochong Xia, Xinrun Wang, Bo An |
| 2024 | EarthVQA: Towards Queryable Earth via Relational Reasoning-Based Remote Sensing Visual Question Answering. Junjue Wang, Zhuo Zheng, Zihang Chen, Ailong Ma, Yanfei Zhong |
| 2024 | Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model. Hao Wu, Yuxuan Liang, Wei Xiong, Zhengyang Zhou, Wei Huang, Shilong Wang, Kun Wang |
| 2024 | EasyTS: The Express Lane to Long Time Series Forecasting. Tiancheng Zhang, Shaoyuan Huang, Cheng Zhang, Xiaofei Wang, Wenyu Wang |
| 2024 | EcomGPT: Instruction-Tuning Large Language Models with Chain-of-Task Tasks for E-commerce. Yangning Li, Shirong Ma, Xiaobin Wang, Shen Huang, Chengyue Jiang, Haitao Zheng, Pengjun Xie, Fei Huang, Yong Jiang |
| 2024 | Editing Language Model-Based Knowledge Graph Embeddings. Siyuan Cheng, Ningyu Zhang, Bozhong Tian, Xi Chen, Qingbin Liu, Huajun Chen |
| 2024 | Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches. Yu Liu, Runzhe Wan, James McQueen, Doug Hains, Jinxiang Gu, Rui Song |
| 2024 | Effective Causal Discovery under Identifiable Heteroscedastic Noise Model. Naiyu Yin, Tian Gao, Yue Yu, Qiang Ji |
| 2024 | Effective Comparative Prototype Hashing for Unsupervised Domain Adaptation. Hui Cui, Lihai Zhao, Fengling Li, Lei Zhu, Xiaohui Han, Jingjing Li |
| 2024 | Effective Data Distillation for Tabular Datasets (Student Abstract). Inwon Kang, Parikshit Ram, Yi Zhou, Horst Samulowitz, Oshani Seneviratne |
| 2024 | Effectiveness of Constant Stepsize in Markovian LSA and Statistical Inference. Dongyan Lucy Huo, Yudong Chen, Qiaomin Xie |
| 2024 | Efficient Algorithms for Non-gaussian Single Index Models with Generative Priors. Junren Chen, Zhaoqiang Liu |
| 2024 | Efficient Asynchronous Federated Learning with Prospective Momentum Aggregation and Fine-Grained Correction. Yu Zang, Zhe Xue, Shilong Ou, Lingyang Chu, Junping Du, Yunfei Long |
| 2024 | Efficient Axiomatization of OWL 2 EL Ontologies from Data by Means of Formal Concept Analysis. Francesco Kriegel |
| 2024 | Efficient Conditional Diffusion Model with Probability Flow Sampling for Image Super-resolution. Yutao Yuan, Chun Yuan |
| 2024 | Efficient Constrained K-center Clustering with Background Knowledge. Longkun Guo, Chaoqi Jia, Kewen Liao, Zhigang Lu, Minhui Xue |
| 2024 | Efficient Constraint Generation for Stochastic Shortest Path Problems. Johannes Schmalz, Felipe W. Trevizan |
| 2024 | Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation. Rongyu Zhang, Yulin Luo, Jiaming Liu, Huanrui Yang, Zhen Dong, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Yuan Du, Shanghang Zhang |
| 2024 | Efficient Learning in Polyhedral Games via Best-Response Oracles. Darshan Chakrabarti, Gabriele Farina, Christian Kroer |
| 2024 | Efficient Learning of PDEs via Taylor Expansion and Sparse Decomposition into Value and Fourier Domains. Md. Nasim, Yexiang Xue |
| 2024 | Efficient Lightweight Image Denoising with Triple Attention Transformer. Yubo Zhou, Jin Lin, Fangchen Ye, Yanyun Qu, Yuan Xie |
| 2024 | Efficient Look-Up Table from Expanded Convolutional Network for Accelerating Image Super-resolution. Kai Yin, Jie Shen |
| 2024 | Efficient Nonparametric Tensor Decomposition for Binary and Count Data. Zerui Tao, Toshihisa Tanaka, Qibin Zhao |
| 2024 | Efficient Online Crowdsourcing with Complex Annotations. Reshef Meir, Viet-An Nguyen, Xu Chen, Jagdish Ramakrishnan, Udi Weinsberg |
| 2024 | Efficient Representation Learning of Satellite Image Time Series and Their Fusion for Spatiotemporal Applications. Poonam Goyal, Arshveer Kaur, Arvind Ram, Navneet Goyal |
| 2024 | Efficient Spiking Neural Networks with Sparse Selective Activation for Continual Learning. Jiangrong Shen, Wenyao Ni, Qi Xu, Huajin Tang |
| 2024 | Efficient Target Propagation by Deriving Analytical Solution. Yanhao Bao, Tatsukichi Shibuya, Ikuro Sato, Rei Kawakami, Nakamasa Inoue |
| 2024 | Efficient Toxic Content Detection by Bootstrapping and Distilling Large Language Models. Jiang Zhang, Qiong Wu, Yiming Xu, Cheng Cao, Zheng Du, Konstantinos Psounis |
| 2024 | Electron Microscopy Images as Set of Fragments for Mitochondrial Segmentation. Naisong Luo, Rui Sun, Yuwen Pan, Tianzhu Zhang, Feng Wu |
| 2024 | Eliciting Honest Information from Authors Using Sequential Review. Yichi Zhang, Grant Schoenebeck, Weijie Su |
| 2024 | Eliciting Kemeny Rankings. Anne-Marie George, Christos Dimitrakakis |
| 2024 | Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift. Shengwei An, Sheng-Yen Chou, Kaiyuan Zhang, Qiuling Xu, Guanhong Tao, Guangyu Shen, Siyuan Cheng, Shiqing Ma, Pin-Yu Chen, Tsung-Yi Ho, Xiangyu Zhang |
| 2024 | EmFORE: Learning Email Folder Classification Rules by Demonstration. Mukul Singh, Gust Verbruggen, José Cambronero, Vu Le, Sumit Gulwani |
| 2024 | Embedded Feature Selection on Graph-Based Multi-View Clustering. Wenhui Zhao, Guangfei Li, Haizhou Yang, Quanxue Gao, Qianqian Wang |
| 2024 | Embracing Language Inclusivity and Diversity in CLIP through Continual Language Learning. Bang Yang, Yong Dai, Xuxin Cheng, Yaowei Li, Asif Raza, Yuexian Zou |
| 2024 | Emergent Communication for Numerical Concepts Generalization. Enshuai Zhou, Yifan Hao, Rui Zhang, Yuxuan Guo, Zidong Du, Xishan Zhang, Xinkai Song, Chao Wang, Xuehai Zhou, Jiaming Guo, Qi Yi, Shaohui Peng, Di Huang, Ruizhi Chen, Qi Guo, Yunji Chen |
| 2024 | Emotion Rendering for Conversational Speech Synthesis with Heterogeneous Graph-Based Context Modeling. Rui Liu, Yifan Hu, Yi Ren, Xiang Yin, Haizhou Li |
| 2024 | Empowering CAM-Based Methods with Capability to Generate Fine-Grained and High-Faithfulness Explanations. Changqing Qiu, Fusheng Jin, Yining Zhang |
| 2024 | Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery. Pengwei Yan, Kaisong Song, Zhuoren Jiang, Yangyang Kang, Tianqianjin Lin, Changlong Sun, Xiaozhong Liu |
| 2024 | EnColor: Improving Visual Accessibility with a Deep Encoder-Decoder Image Corrector for Color Vision Deficient Individuals. Satyam Goyal, Kavya Sasikumar, Rohan Sheth, Akash Seelam, Taeyeong Choi, Xin Liu |
| 2024 | EnMatch: Matchmaking for Better Player Engagement via Neural Combinatorial Optimization. Kai Wang, Haoyu Liu, Zhipeng Hu, Xiaochuan Feng, Minghao Zhao, Shiwei Zhao, Runze Wu, Xudong Shen, Tangjie Lv, Changjie Fan |
| 2024 | Encoding Constraints as Binary Constraint Networks Satisfying BTP. Ruiwei Wang |
| 2024 | EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection. Xin Mu, Yu Wang, Zhengan Huang, Junzuo Lai, Yehong Zhang, Hui Wang, Yue Yu |
| 2024 | End-to-End Learning of LTLf Formulae by Faithful LTLf Encoding. Hai Wan, Pingjia Liang, Jianfeng Du, Weilin Luo, Rongzhen Ye, Bo Peng |
| 2024 | End-to-End Phase Field Model Discovery Combining Experimentation, Crowdsourcing, Simulation and Learning. Md. Nasim, Xinghang Zhang, Anter El-Azab, Yexiang Xue |
| 2024 | End-to-End RGB-D Image Compression via Exploiting Channel-Modality Redundancy. Huiming Zheng, Wei Gao |
| 2024 | End-to-End Real-Time Vanishing Point Detection with Transformer. Xin Tong, Shi Peng, Yufei Guo, Xuhui Huang |
| 2024 | End-to-End Verification for Subgraph Solving. Stephan Gocht, Ciaran McCreesh, Magnus O. Myreen, Jakob Nordström, Andy Oertel, Yong Kiam Tan |
| 2024 | Energy Efficient Streaming Time Series Classification with Attentive Power Iteration. Hao Huang, Tapan Shah, Scott Evans, Shinjae Yoo |
| 2024 | Engineering an Exact Pseudo-Boolean Model Counter. Suwei Yang, Kuldeep S. Meel |
| 2024 | Engineering the Neural Collapse Geometry of Supervised-Contrastive Loss (Student Abstract). Jaidev Gill, Vala Vakilian, Christos Thrampoulidis |
| 2024 | Enhance Diversified Top-k MaxSAT Solving by Incorporating New Strategy for Generating Diversified Initial Assignments (Student Abstract). Jiaxin Liang, Junping Zhou, Minghao Yin |
| 2024 | Enhance Sketch Recognition's Explainability via Semantic Component-Level Parsing. Guangming Zhu, Siyuan Wang, Tianci Wu, Liang Zhang |
| 2024 | Enhanced Fine-Grained Motion Diffusion for Text-Driven Human Motion Synthesis. Dong Wei, Xiaoning Sun, Huaijiang Sun, Shengxiang Hu, Bin Li, Weiqing Li, Jianfeng Lu |
| 2024 | Enhanced Optical Character Recognition by Optical Sensor Combined with BERT and Cosine Similarity Scoring (Student Abstract). Woohyeon Moon, Sarvar Hussain Nengroo, TaeYoung Kim, Jihui Lee, Seungah Son, Dongsoo Har |
| 2024 | Enhancing Bilingual Lexicon Induction via Bi-directional Translation Pair Retrieving. Qiuyu Ding, Hailong Cao, Tiejun Zhao |
| 2024 | Enhancing Cognitive Diagnosis Using Un-interacted Exercises: A Collaboration-Aware Mixed Sampling Approach. Haiping Ma, Changqian Wang, Hengshu Zhu, Shangshang Yang, Xiaoming Zhang, Xingyi Zhang |
| 2024 | Enhancing Ensemble Clustering with Adaptive High-Order Topological Weights. Jiaxuan Xu, Taiyong Li, Lei Duan |
| 2024 | Enhancing Evolving Domain Generalization through Dynamic Latent Representations. Binghui Xie, Yongqiang Chen, Jiaqi Wang, Kaiwen Zhou, Bo Han, Wei Meng, James Cheng |
| 2024 | Enhancing Healthcare Predictions with Deep Learning Models. Adam Baji |
| 2024 | Enhancing Hyperspectral Images via Diffusion Model and Group-Autoencoder Super-resolution Network. Zhaoyang Wang, Dongyang Li, Mingyang Zhang, Hao Luo, Maoguo Gong |
| 2024 | Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks. Yingpeng Du, Di Luo, Rui Yan, Xiaopei Wang, Hongzhi Liu, Hengshu Zhu, Yang Song, Jie Zhang |
| 2024 | Enhancing Low-Resource Relation Representations through Multi-View Decoupling. Chenghao Fan, Wei Wei, Xiaoye Qu, Zhenyi Lu, Wenfeng Xie, Yu Cheng, Dangyang Chen |
| 2024 | Enhancing Machine Translation Experiences with Multilingual Knowledge Graphs. Simone Conia, Daniel Lee, Min Li, Umar Farooq Minhas, Yunyao Li |
| 2024 | Enhancing Multi-Label Classification via Dynamic Label-Order Learning. Jiangnan Li, Yice Zhang, Shiwei Chen, Ruifeng Xu |
| 2024 | Enhancing Multi-Scale Diffusion Prediction via Sequential Hypergraphs and Adversarial Learning. Pengfei Jiao, Hongqian Chen, Qing Bao, Wang Zhang, Huaming Wu |
| 2024 | Enhancing Neural Radiance Fields with Adaptive Multi-Exposure Fusion: A Bilevel Optimization Approach for Novel View Synthesis. Yang Zou, Xingyuan Li, Zhiying Jiang, Jinyuan Liu |
| 2024 | Enhancing Off-Policy Constrained Reinforcement Learning through Adaptive Ensemble C Estimation. Hengrui Zhang, Youfang Lin, Shuo Shen, Sheng Han, Kai Lv |
| 2024 | Enhancing RAW-to-sRGB with Decoupled Style Structure in Fourier Domain. Xuanhua He, Tao Hu, Guoli Wang, Zejin Wang, Run Wang, Qian Zhang, Keyu Yan, Ziyi Chen, Rui Li, Chengjun Xie, Jie Zhang, Man Zhou |
| 2024 | Enhancing Representation of Spiking Neural Networks via Similarity-Sensitive Contrastive Learning. Yuhan Zhang, Xiaode Liu, Yuanpei Chen, Weihang Peng, Yufei Guo, Xuhui Huang, Zhe Ma |
| 2024 | Enhancing Robotics with Cognitive Capabilities. Joseph Fatoye |
| 2024 | Enhancing Semi-supervised Domain Adaptation via Effective Target Labeling. Jiujun He, Bin Liu, Guosheng Yin |
| 2024 | Enhancing Student Performance Prediction on Learnersourced Questions with SGNN-LLM Synergy. Lin Ni, Sijie Wang, Zeyu Zhang, Xiaoxuan Li, Xianda Zheng, Paul Denny, Jiamou Liu |
| 2024 | Enhancing Training of Spiking Neural Network with Stochastic Latency. Srinivas Anumasa, Bhaskar Mukhoty, Velibor Bojkovic, Giulia De Masi, Huan Xiong, Bin Gu |
| 2024 | Enhancing Transcription Factor Prediction through Multi-Task Learning (Student Abstract). Liyuan Gao, Matthew Zhang, Victor S. Sheng |
| 2024 | Enhancing Zero-Shot Multi-Speaker TTS with Negated Speaker Representations. Yejin Jeon, Yunsu Kim, Gary Geunbae Lee |
| 2024 | Enhancing the Efficiency of Altruism and Taxes in Affine Congestion Games through Signalling. Vittorio Bilò, Cosimo Vinci |
| 2024 | Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms. Jianhao Ding, Zhaofei Yu, Tiejun Huang, Jian K. Liu |
| 2024 | Entropic Open-Set Active Learning. Bardia Safaei, Vibashan VS, Celso M. de Melo, Vishal M. Patel |
| 2024 | Entropy Induced Pruning Framework for Convolutional Neural Networks. Yiheng Lu, Ziyu Guan, Yaming Yang, Wei Zhao, Maoguo Gong, Cai Xu |
| 2024 | Enumerating Safe Regions in Deep Neural Networks with Provable Probabilistic Guarantees. Luca Marzari, Davide Corsi, Enrico Marchesini, Alessandro Farinelli, Ferdinando Cicalese |
| 2024 | Envy-Free House Allocation under Uncertain Preferences. Haris Aziz, Isaiah Iliffe, Bo Li, Angus Ritossa, Ankang Sun, Mashbat Suzuki |
| 2024 | Episodic Return Decomposition by Difference of Implicitly Assigned Sub-trajectory Reward. Haoxin Lin, Hongqiu Wu, Jiaji Zhang, Yihao Sun, Junyin Ye, Yang Yu |
| 2024 | Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context. Jiwoo Son, Minsu Kim, Sanghyeok Choi, Hyeonah Kim, Jinkyoo Park |
| 2024 | Equivalence between Graph Spectral Clustering and Column Subset Selection (Student Abstract). Guihong Wan, Wei Mao, Yevgeniy R. Semenov, Haim Schweitzer |
| 2024 | Estimating On-Road Transportation Carbon Emissions from Open Data of Road Network and Origin-Destination Flow Data. Jinwei Zeng, Yu Liu, Jingtao Ding, Jian Yuan, Yong Li |
| 2024 | EulerMormer: Robust Eulerian Motion Magnification via Dynamic Filtering within Transformer. Fei Wang, Dan Guo, Kun Li, Meng Wang |
| 2024 | Evaluate Geometry of Radiance Fields with Low-Frequency Color Prior. Qihang Fang, Yafei Song, Keqiang Li, Li Shen, Huaiyu Wu, Gang Xiong, Liefeng Bo |
| 2024 | Evaluating AI Red Teaming's Readiness to Address Environmental Harms: A Thematic Analysis of LLM Discourse. Amy Au |
| 2024 | Evaluating Pre-trial Programs Using Interpretable Machine Learning Matching Algorithms for Causal Inference. Travis Seale-Carlisle, Saksham Jain, Courtney Lee, Caroline Levenson, Swathi Ramprasad, Brandon Garrett, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky |
| 2024 | Evaluating the Effectiveness of Explainable Artificial Intelligence Approaches (Student Abstract). Jinsun Jung, Hyeoneui Kim |
| 2024 | Evaluating the Efficacy of Prompting Techniques for Debiasing Language Model Outputs (Student Abstract). Shaz Furniturewala, Surgan Jandial, Abhinav Java, Simra Shahid, Pragyan Banerjee, Balaji Krishnamurthy, Sumit Bhatia, Kokil Jaidka |
| 2024 | Evaluation of Large Language Models on Code Obfuscation (Student Abstract). Adrian Swindle, Derrick McNealy, Giri P. Krishnan, Ramyaa Ramyaa |
| 2024 | Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering. Pengfei Zhu, Qian Wang, Yu Wang, Jialu Li, Qinghua Hu |
| 2024 | Everything2Motion: Synchronizing Diverse Inputs via a Unified Framework for Human Motion Synthesis. Zhaoxin Fan, Longbin Ji, Pengxin Xu, Fan Shen, Kai Chen |
| 2024 | Evidential Uncertainty-Guided Mitochondria Segmentation for 3D EM Images. Ruohua Shi, Lingyu Duan, Tiejun Huang, Tingting Jiang |
| 2024 | Evolving Parameterized Prompt Memory for Continual Learning. Muhammad Rifki Kurniawan, Xiang Song, Zhiheng Ma, Yuhang He, Yihong Gong, Yang Qi, Xing Wei |
| 2024 | Exact ASP Counting with Compact Encodings. Mohimenul Kabir, Supratik Chakraborty, Kuldeep S. Meel |
| 2024 | Exact Algorithms and Lowerbounds for Multiagent Path Finding: Power of Treelike Topology. Foivos Fioravantes, Dusan Knop, Jan Matyás Kristan, Nikolaos Melissinos, Michal Opler |
| 2024 | Exact Inference for Continuous-Time Gaussian Process Dynamics. Katharina Ensinger, Nicholas Tagliapietra, Sebastian Ziesche, Sebastian Trimpe |
| 2024 | Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data Corruption. Yiding Chen, Xuezhou Zhang, Qiaomin Xie, Xiaojin Zhu |
| 2024 | Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families. Russell Tsuchida, Cheng Soon Ong, Dino Sejdinovic |
| 2024 | Existence Is Chaos: Enhancing 3D Human Motion Prediction with Uncertainty Consideration. Zhihao Wang, Yulin Zhou, Ningyu Zhang, Xiaosong Yang, Jun Xiao, Zhao Wang |
| 2024 | ExpCLIP: Bridging Text and Facial Expressions via Semantic Alignment. Yicheng Zhong, Huawei Wei, Peiji Yang, Zhisheng Wang |
| 2024 | Expand-and-Quantize: Unsupervised Semantic Segmentation Using High-Dimensional Space and Product Quantization. Jiyoung Kim, Kyuhong Shim, Insu Lee, Byonghyo Shim |
| 2024 | ExpeL: LLM Agents Are Experiential Learners. Andrew Zhao, Daniel Huang, Quentin Xu, Matthieu Lin, Yong-Jin Liu, Gao Huang |
| 2024 | Expediting Contrastive Language-Image Pretraining via Self-Distilled Encoders. Bumsoo Kim, Jinhyung Kim, Yeonsik Jo, Seung Hwan Kim |
| 2024 | Explainable Earnings Call Representation Learning (Student Abstract). Yanlong Huang, Yue Lei, Wenxin Tai, Zhangtao Cheng, Ting Zhong, Kunpeng Zhang |
| 2024 | Explainable Origin-Destination Crowd Flow Interpolation via Variational Multi-Modal Recurrent Graph Auto-Encoder. Qiang Zhou, Xinjiang Lu, Jingjing Gu, Zhe Zheng, Bo Jin, Jingbo Zhou |
| 2024 | Explaining Generalization Power of a DNN Using Interactive Concepts. Huilin Zhou, Hao Zhang, Huiqi Deng, Dongrui Liu, Wen Shen, Shih-Han Chan, Quanshi Zhang |
| 2024 | Explaining Reinforcement Learning Agents through Counterfactual Action Outcomes. Yotam Amitai, Yael Septon, Ofra Amir |
| 2024 | Explicit Visual Prompts for Visual Object Tracking. Liangtao Shi, Bineng Zhong, Qihua Liang, Ning Li, Shengping Zhang, Xianxian Li |
| 2024 | Explicitly Perceiving and Preserving the Local Geometric Structures for 3D Point Cloud Attack. Daizong Liu, Wei Hu |
| 2024 | Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning (Abstract Reprint). Vincent Liu, James R. Wright, Martha White |
| 2024 | Exploiting Auxiliary Caption for Video Grounding. Hongxiang Li, Meng Cao, Xuxin Cheng, Yaowei Li, Zhihong Zhu, Yuexian Zou |
| 2024 | Exploiting Data Geometry in Machine Learning. Melanie Weber |
| 2024 | Exploiting Discrepancy in Feature Statistic for Out-of-Distribution Detection. Xiaoyuan Guan, Jiankang Chen, Shenshen Bu, Yuren Zhou, Wei-Shi Zheng, Ruixuan Wang |
| 2024 | Exploiting Geometry for Treatment Effect Estimation via Optimal Transport. Yuguang Yan, Zeqin Yang, Weilin Chen, Ruichu Cai, Zhifeng Hao, Michael Kwok-Po Ng |
| 2024 | Exploiting Label Skews in Federated Learning with Model Concatenation. Yiqun Diao, Qinbin Li, Bingsheng He |
| 2024 | Exploiting Polarized Material Cues for Robust Car Detection. Wen Dong, Haiyang Mei, Ziqi Wei, Ao Jin, Sen Qiu, Qiang Zhang, Xin Yang |
| 2024 | Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training. Xi Chen, Chang Gao, Zuowen Wang, Longbiao Cheng, Sheng Zhou, Shih-Chii Liu, Tobi Delbruck |
| 2024 | Exploiting the Social-Like Prior in Transformer for Visual Reasoning. Yudong Han, Yupeng Hu, Xuemeng Song, Haoyu Tang, Mingzhu Xu, Liqiang Nie |
| 2024 | Explore 3D Dance Generation via Reward Model from Automatically-Ranked Demonstrations. Zilin Wang, Haolin Zhuang, Lu Li, Yinmin Zhang, Junjie Zhong, Jun Chen, Yu Yang, Boshi Tang, Zhiyong Wu |
| 2024 | Exploring Base-Class Suppression with Prior Guidance for Bias-Free One-Shot Object Detection. Wenwen Zhang, Yun Hu, Hangguan Shan, Eryun Liu |
| 2024 | Exploring Channel-Aware Typical Features for Out-of-Distribution Detection. Rundong He, Yue Yuan, Zhongyi Han, Fan Wang, Wan Su, Yilong Yin, Tongliang Liu, Yongshun Gong |
| 2024 | Exploring Diverse Representations for Open Set Recognition. Yu Wang, Junxian Mu, Pengfei Zhu, Qinghua Hu |
| 2024 | Exploring Domain Incremental Video Highlights Detection with the LiveFood Benchmark. Sen Pei, Shixiong Xu, Xiaojie Jin |
| 2024 | Exploring Equation as a Better Intermediate Meaning Representation for Numerical Reasoning of Large Language Models. Dingzirui Wang, Longxu Dou, Wenbin Zhang, Junyu Zeng, Wanxiang Che |
| 2024 | Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective. Wanying Wang, Yichen Zhu, Yirui Zhou, Chaomin Shen, Jian Tang, Zhiyuan Xu, Yaxin Peng, Yangchun Zhang |
| 2024 | Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations. Likang Wu, Zhaopeng Qiu, Zhi Zheng, Hengshu Zhu, Enhong Chen |
| 2024 | Exploring One-Shot Semi-supervised Federated Learning with Pre-trained Diffusion Models. Mingzhao Yang, Shangchao Su, Bin Li, Xiangyang Xue |
| 2024 | Exploring Post-training Quantization in LLMs from Comprehensive Study to Low Rank Compensation. Zhewei Yao, Xiaoxia Wu, Cheng Li, Stephen Youn, Yuxiong He |
| 2024 | Exploring Self- and Cross-Triplet Correlations for Human-Object Interaction Detection. Weibo Jiang, Weihong Ren, Jiandong Tian, Liangqiong Qu, Zhiyong Wang, Honghai Liu |
| 2024 | Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction. Senqiao Yang, Jiarui Wu, Jiaming Liu, Xiaoqi Li, Qizhe Zhang, Mingjie Pan, Yulu Gan, Zehui Chen, Shanghang Zhang |
| 2024 | Exploring Temporal Feature Correlation for Efficient and Stable Video Semantic Segmentation. Matthieu Lin, Jenny Sheng, Yubin Hu, Yangguang Li, Lu Qi, Andrew Zhao, Gao Huang, Yong-Jin Liu |
| 2024 | Exploring Transformer Extrapolation. Zhen Qin, Yiran Zhong, Hui Deng |
| 2024 | Exponent Relaxation of Polynomial Zonotopes and Its Applications in Formal Neural Network Verification. Tobias Ladner, Matthias Althoff |
| 2024 | Exponential Hardness of Optimization from the Locality in Quantum Neural Networks. Hao-Kai Zhang, Chengkai Zhu, Geng Liu, Xin Wang |
| 2024 | Exposing the Deception: Uncovering More Forgery Clues for Deepfake Detection. Zhongjie Ba, Qingyu Liu, Zhenguang Liu, Shuang Wu, Feng Lin, Li Lu, Kui Ren |
| 2024 | Expressive Forecasting of 3D Whole-Body Human Motions. Pengxiang Ding, Qiongjie Cui, Haofan Wang, Min Zhang, Mengyuan Liu, Donglin Wang |
| 2024 | Expressive Multi-Agent Communication via Identity-Aware Learning. Wei Du, Shifei Ding, Lili Guo, Jian Zhang, Ling Ding |
| 2024 | Expressive and Flexible Simulation of Information Spread Strategies in Social Networks Using Planning. Bharath Muppasani, Vignesh Narayanan, Biplav Srivastava, Michael N. Huhns |
| 2024 | FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks. Hunmin Yang, Jongoh Jeong, Kuk-Jin Yoon |
| 2024 | FAIR-FER: A Latent Alignment Approach for Mitigating Bias in Facial Expression Recognition (Student Abstract). Syed Sameen Ahmad Rizvi, Aryan Seth, Pratik Narang |
| 2024 | FAVOR: Full-Body AR-Driven Virtual Object Rearrangement Guided by Instruction Text. Kailin Li, Lixin Yang, Zenan Lin, Jian Xu, Xinyu Zhan, Yifei Zhao, Pengxiang Zhu, Wenxiong Kang, Kejian Wu, Cewu Lu |
| 2024 | FD3D: Exploiting Foreground Depth Map for Feature-Supervised Monocular 3D Object Detection. Zizhang Wu, Yuanzhu Gan, Yunzhe Wu, Ruihao Wang, Xiaoquan Wang, Jian Pu |
| 2024 | FFT-Based Dynamic Token Mixer for Vision. Yuki Tatsunami, Masato Taki |
| 2024 | FG-EmoTalk: Talking Head Video Generation with Fine-Grained Controllable Facial Expressions. Zhaoxu Sun, Yuze Xuan, Fang Liu, Yang Xiang |
| 2024 | FLAME: A Small Language Model for Spreadsheet Formulas. Harshit Joshi, Abishai Ebenezer, José Pablo Cambronero Sánchez, Sumit Gulwani, Aditya Kanade, Vu Le, Ivan Radicek, Gust Verbruggen |
| 2024 | FM-OV3D: Foundation Model-Based Cross-Modal Knowledge Blending for Open-Vocabulary 3D Detection. Dongmei Zhang, Chang Li, Renrui Zhang, Shenghao Xie, Wei Xue, Xiaodong Xie, Shanghang Zhang |
| 2024 | FMRNet: Image Deraining via Frequency Mutual Revision. Kui Jiang, Junjun Jiang, Xianming Liu, Xin Xu, Xianzheng Ma |
| 2024 | FPRF: Feed-Forward Photorealistic Style Transfer of Large-Scale 3D Neural Radiance Fields. Geonu Kim, Kim Youwang, Tae-Hyun Oh |
| 2024 | FRED: Towards a Full Rotation-Equivariance in Aerial Image Object Detection. Chanho Lee, Jinsu Son, Hyounguk Shon, Yunho Jeon, Junmo Kim |
| 2024 | FRIH: Fine-Grained Region-Aware Image Harmonization. Jinlong Peng, Zekun Luo, Liang Liu, Boshen Zhang |
| 2024 | FT-GAN: Fine-Grained Tune Modeling for Chinese Opera Synthesis. Meizhen Zheng, Peng Bai, Xiaodong Shi, Xun Zhou, Yiting Yan |
| 2024 | FaceCoresetNet: Differentiable Coresets for Face Set Recognition. Gil Shapira, Yosi Keller |
| 2024 | FaceRSA: RSA-Aware Facial Identity Cryptography Framework. Zhongyi Zhang, Tianyi Wei, Wenbo Zhou, Hanqing Zhao, Weiming Zhang, Nenghai Yu |
| 2024 | FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System. Yongsen Zheng, Ziliang Chen, Jinghui Qin, Liang Lin |
| 2024 | Fact-Driven Logical Reasoning for Machine Reading Comprehension. Siru Ouyang, Zhuosheng Zhang, Hai Zhao |
| 2024 | Factored Online Planning in Many-Agent POMDPs. Maris F. L. Galesloot, Thiago D. Simão, Sebastian Junges, Nils Jansen |
| 2024 | Factorized Diffusion Autoencoder for Unsupervised Disentangled Representation Learning. Ancong Wu, Wei-Shi Zheng |
| 2024 | Factorized Explainer for Graph Neural Networks. Rundong Huang, Farhad Shirani, Dongsheng Luo |
| 2024 | Fair Allocation of Items in Multiple Regions. Houyu Zhou, Tianze Wei, Biaoshuai Tao, Minming Li |
| 2024 | Fair Graph Learning Using Constraint-Aware Priority Adjustment and Graph Masking in River Networks. Erhu He, Yiqun Xie, Alexander Y. Sun, Jacob Zwart, Jie Yang, Zhenong Jin, Yang Wang, Hassan A. Karimi, Xiaowei Jia |
| 2024 | Fair Lotteries for Participatory Budgeting. Haris Aziz, Xinhang Lu, Mashbat Suzuki, Jeremy Vollen, Toby Walsh |
| 2024 | Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency. Parian Haghighat, Denisa Gándara, Lulu Kang, Hadis Anahideh |
| 2024 | Fair Participation via Sequential Policies. Reilly Raab, Ross Boczar, Maryam Fazel, Yang Liu |
| 2024 | Fair Representation Learning with Maximum Mean Discrepancy Distance Constraint (Student Abstract). Alexandru Lopotenco, Ian Tong Pan, Jack Zhang, Guan Xiong Qiao |
| 2024 | Fair Sampling in Diffusion Models through Switching Mechanism. Yujin Choi, Jinseong Park, Hoki Kim, Jaewook Lee, Saerom Park |
| 2024 | Fair and Optimal Prediction via Post-Processing. Han Zhao |
| 2024 | FairPlay: A Multi-Sided Fair Dynamic Pricing Policy for Hotels. Errikos Streviniotis, Athina Georgara, Filippo Bistaffa, Georgios Chalkiadakis |
| 2024 | FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization. Cheng Yang, Jixi Liu, Yunhe Yan, Chuan Shi |
| 2024 | FairTrade: Achieving Pareto-Optimal Trade-Offs between Balanced Accuracy and Fairness in Federated Learning. Maryam Badar, Sandipan Sikdar, Wolfgang Nejdl, Marco Fisichella |
| 2024 | FairWASP: Fast and Optimal Fair Wasserstein Pre-processing. Zikai Xiong, Niccolò Dalmasso, Alan Mishler, Vamsi K. Potluru, Tucker Balch, Manuela Veloso |
| 2024 | Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples. Shreyas Havaldar, Jatin Chauhan, Karthikeyan Shanmugam, Jay Nandy, Aravindan Raghuveer |
| 2024 | Fairness with Censorship: Bridging the Gap between Fairness Research and Real-World Deployment. Wenbin Zhang |
| 2024 | Fairness without Demographics through Shared Latent Space-Based Debiasing. Rashidul Islam, Huiyuan Chen, Yiwei Cai |
| 2024 | Fairness-Aware Structured Pruning in Transformers. Abdelrahman Zayed, Gonçalo Mordido, Samira Shabanian, Ioana Baldini, Sarath Chandar |
| 2024 | Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals. Patrick Altmeyer, Mojtaba Farmanbar, Arie van Deursen, Cynthia C. S. Liem |
| 2024 | Faithful Trip Recommender Using Diffusion Guidance (Student Abstract). Wenzheng Shu, Yanlong Huang, Wenxin Tai, Zhangtao Cheng, Bei Hui, Goce Trajcevski |
| 2024 | Far3D: Expanding the Horizon for Surround-View 3D Object Detection. Xiaohui Jiang, Shuailin Li, Yingfei Liu, Shihao Wang, Fan Jia, Tiancai Wang, Lijin Han, Xiangyu Zhang |
| 2024 | FashionERN: Enhance-and-Refine Network for Composed Fashion Image Retrieval. Yanzhe Chen, Huasong Zhong, Xiangteng He, Yuxin Peng, Jiahuan Zhou, Lele Cheng |
| 2024 | Fast & Fair: A Collaborative Platform for Fair Division Applications. Jiatong Han, Warut Suksompong |
| 2024 | Fast Inter-frame Motion Prediction for Compressed Dynamic Point Cloud Attribute Enhancement. Wang Liu, Wei Gao, Xingming Mu |
| 2024 | Fast Machine Unlearning without Retraining through Selective Synaptic Dampening. Jack Foster, Stefan Schoepf, Alexandra Brintrup |
| 2024 | Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes. Ruihao Gong, Yang Yong, Zining Wang, Jinyang Guo, Xiuying Wei, Yuqing Ma, Xianglong Liu |
| 2024 | Fast and Knowledge-Free Deep Learning for General Game Playing (Student Abstract). Michal Maras, Michal Kepa, Jakub Kowalski, Marek Szykula |
| 2024 | Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization. Jin Liu, Xiaokang Pan, Junwen Duan, Hongdong Li, Youqi Li, Zhe Qu |
| 2024 | FeatWalk: Enhancing Few-Shot Classification through Local View Leveraging. Dalong Chen, Jianjia Zhang, Wei-Shi Zheng, Ruixuan Wang |
| 2024 | Feature Distribution Matching by Optimal Transport for Effective and Robust Coreset Selection. Weiwei Xiao, Yongyong Chen, Qiben Shan, Yaowei Wang, Jingyong Su |
| 2024 | Feature Fusion from Head to Tail for Long-Tailed Visual Recognition. Mengke Li, Zhikai Hu, Yang Lu, Weichao Lan, Yiu-ming Cheung, Hui Huang |
| 2024 | Feature Transportation Improves Graph Neural Networks. Moshe Eliasof, Eldad Haber, Eran Treister |
| 2024 | Feature Unlearning for Pre-trained GANs and VAEs. Saemi Moon, Seunghyuk Cho, Dongwoo Kim |
| 2024 | Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity. Yiyue Chen, Haris Vikalo, Chianing Wang |
| 2024 | FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise. Nannan Wu, Zhaobin Sun, Zengqiang Yan, Li Yu |
| 2024 | FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update. Ji Liu, Juncheng Jia, Tianshi Che, Chao Huo, Jiaxiang Ren, Yang Zhou, Huaiyu Dai, Dejing Dou |
| 2024 | FedCD: Federated Semi-Supervised Learning with Class Awareness Balance via Dual Teachers. Yuzhi Liu, Huisi Wu, Jing Qin |
| 2024 | FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning. Xianjie Guo, Kui Yu, Lin Liu, Jiuyong Li |
| 2024 | FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants. Shanli Tan, Hao Cheng, Xiaohu Wu, Han Yu, Tiantian He, Yew Soon Ong, Chongjun Wang, Xiaofeng Tao |
| 2024 | FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning. Haokun Chen, Yao Zhang, Denis Krompass, Jindong Gu, Volker Tresp |
| 2024 | FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels. Jichang Li, Guanbin Li, Hui Cheng, Zicheng Liao, Yizhou Yu |
| 2024 | FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning. Xinyuan Ji, Zhaowei Zhu, Wei Xi, Olga Gadyatskaya, Zilong Song, Yong Cai, Yang Liu |
| 2024 | FedGCR: Achieving Performance and Fairness for Federated Learning with Distinct Client Types via Group Customization and Reweighting. Shu-Ling Cheng, Chin-Yuan Yeh, Ting-An Chen, Eliana Pastor, Ming-Syan Chen |
| 2024 | FedLF: Layer-Wise Fair Federated Learning. Zibin Pan, Chi Li, Fangchen Yu, Shuyi Wang, Haijin Wang, Xiaoying Tang, Junhua Zhao |
| 2024 | FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing. Yongzhe Jia, Xuyun Zhang, Amin Beheshti, Wanchun Dou |
| 2024 | FedMut: Generalized Federated Learning via Stochastic Mutation. Ming Hu, Yue Cao, Anran Li, Zhiming Li, Chengwei Liu, Tianlin Li, Mingsong Chen, Yang Liu |
| 2024 | FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning. Jian Li, Yong Liu, Weiping Wang |
| 2024 | FedST: Federated Style Transfer Learning for Non-IID Image Segmentation. Boyuan Ma, Xiang Yin, Jing Tan, Yongfeng Chen, Haiyou Huang, Hao Wang, Weihua Xue, Xiaojuan Ban |
| 2024 | FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning. Jianqing Zhang, Yang Liu, Yang Hua, Jian Cao |
| 2024 | Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning. Shangchao Su, Mingzhao Yang, Bin Li, Xiangyang Xue |
| 2024 | Federated Causality Learning with Explainable Adaptive Optimization. Dezhi Yang, Xintong He, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Jinglin Zhang |
| 2024 | Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users. Hantao Yang, Xutong Liu, Zhiyong Wang, Hong Xie, John C. S. Lui, Defu Lian, Enhong Chen |
| 2024 | Federated Graph Learning under Domain Shift with Generalizable Prototypes. Guancheng Wan, Wenke Huang, Mang Ye |
| 2024 | Federated Label-Noise Learning with Local Diversity Product Regularization. Xiaochen Zhou, Xudong Wang |
| 2024 | Federated Learning via Input-Output Collaborative Distillation. Xuan Gong, Shanglin Li, Yuxiang Bao, Barry Yao, Yawen Huang, Ziyan Wu, Baochang Zhang, Yefeng Zheng, David S. Doermann |
| 2024 | Federated Learning with Extremely Noisy Clients via Negative Distillation. Yang Lu, Lin Chen, Yonggang Zhang, Yiliang Zhang, Bo Han, Yiu-ming Cheung, Hanzi Wang |
| 2024 | Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation. Qian Dai, Dong Wei, Hong Liu, Jinghan Sun, Liansheng Wang, Yefeng Zheng |
| 2024 | Federated Partial Label Learning with Local-Adaptive Augmentation and Regularization. Yan Yan, Yuhong Guo |
| 2024 | Federated X-armed Bandit. Wenjie Li, Qifan Song, Jean Honorio, Guang Lin |
| 2024 | Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection. Soopil Kim, Sion An, Philip Chikontwe, Myeongkyun Kang, Ehsan Adeli, Kilian M. Pohl, Sanghyun Park |
| 2024 | Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI. Qinqian Lei, Bo Wang, Robby T. Tan |
| 2024 | Few-Shot Learning via Repurposing Ensemble of Black-Box Models. Minh Hoang, Trong Nghia Hoang |
| 2024 | Few-Shot Neural Radiance Fields under Unconstrained Illumination. SeokYeong Lee, Junyong Choi, Seungryong Kim, Ig-Jae Kim, Junghyun Cho |
| 2024 | Fewer Steps, Better Performance: Efficient Cross-Modal Clip Trimming for Video Moment Retrieval Using Language. Xiang Fang, Daizong Liu, Wanlong Fang, Pan Zhou, Zichuan Xu, Wenzheng Xu, Junyang Chen, Renfu Li |
| 2024 | Find the Lady: Permutation and Re-synchronization of Deep Neural Networks. Carl De Sousa Trias, Mihai Petru Mitrea, Attilio Fiandrotti, Marco Cagnazzo, Sumanta Chaudhuri, Enzo Tartaglione |
| 2024 | Finding Interpretable Class-Specific Patterns through Efficient Neural Search. Nils Philipp Walter, Jonas Fischer, Jilles Vreeken |
| 2024 | Finding Visual Saliency in Continuous Spike Stream. Lin Zhu, Xianzhang Chen, Xiao Wang, Hua Huang |
| 2024 | Finding ε and δ of Traditional Disclosure Control Systems. Saswat Das, Keyu Zhu, Christine Task, Pascal Van Hentenryck, Ferdinando Fioretto |
| 2024 | Fine Structure-Aware Sampling: A New Sampling Training Scheme for Pixel-Aligned Implicit Models in Single-View Human Reconstruction. Kennard Yanting Chan, Fayao Liu, Guosheng Lin, Chuan Sheng Foo, Weisi Lin |
| 2024 | Fine-Grained Distillation for Long Document Retrieval. Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Jianbing Shen, Guodong Long, Can Xu, Daxin Jiang |
| 2024 | Fine-Grained Knowledge Selection and Restoration for Non-exemplar Class Incremental Learning. Jiang-Tian Zhai, Xialei Liu, Lu Yu, Ming-Ming Cheng |
| 2024 | Fine-Grained Multi-View Hand Reconstruction Using Inverse Rendering. Qijun Gan, Wentong Li, Jinwei Ren, Jianke Zhu |
| 2024 | Fine-Grained Prototypes Distillation for Few-Shot Object Detection. Zichen Wang, Bo Yang, Haonan Yue, Zhenghao Ma |
| 2024 | Fine-Tuning Graph Neural Networks by Preserving Graph Generative Patterns. Yifei Sun, Qi Zhu, Yang Yang, Chunping Wang, Tianyu Fan, Jiajun Zhu, Lei Chen |
| 2024 | Fine-Tuning Large Language Model Based Explainable Recommendation with Explainable Quality Reward. Mengyuan Yang, Mengying Zhu, Yan Wang, Linxun Chen, Yilei Zhao, Xiuyuan Wang, Bing Han, Xiaolin Zheng, Jianwei Yin |
| 2024 | Finetuning LLMs for Automatic Concept to TTI Prompt Generation (Student Abstract). Jeremy Rutter, Maneesh Reddy Chamakura, Justin Delgado, Gene Louis Kim |
| 2024 | Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs. Tianyuan Jin, Hao-Lun Hsu, William Chang, Pan Xu |
| 2024 | FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering. Zhenyu Li, Sunqi Fan, Yu Gu, Xiuxing Li, Zhichao Duan, Bowen Dong, Ning Liu, Jianyong Wang |
| 2024 | FlexiBO: A Decoupled Cost-Aware Multi-objective Optimization Approach for Deep Neural Networks (Abstract Reprint). Md Shahriar Iqbal, Jianhai Su, Lars Kotthoff, Pooyan Jamshidi |
| 2024 | FlightBERT++: A Non-autoregressive Multi-Horizon Flight Trajectory Prediction Framework. Dongyue Guo, Zheng Zhang, Zhen Yan, Jianwei Zhang, Yi Lin |
| 2024 | Flood Insights: Integrating Remote and Social Sensing Data for Flood Exposure, Damage, and Urgent Needs Mapping. Zainab Akhtar, Umair Qazi, Aya El-Sakka, Rizwan Sadiq, Ferda Ofli, Muhammad Imran |
| 2024 | Flow-Event Autoencoder: Event Stream Object Recognition Dataset Generation with Arbitrary High Temporal Resolution. Minghai Chen |
| 2024 | Fluctuation-Based Adaptive Structured Pruning for Large Language Models. Yongqi An, Xu Zhao, Tao Yu, Ming Tang, Jinqiao Wang |
| 2024 | FoSp: Focus and Separation Network for Early Smoke Segmentation. Lujian Yao, Haitao Zhao, Jingchao Peng, Zhongze Wang, Kaijie Zhao |
| 2024 | FoX: Formation-Aware Exploration in Multi-Agent Reinforcement Learning. Yonghyeon Jo, Sunwoo Lee, Junghyuk Yeom, Seungyul Han |
| 2024 | FocalDreamer: Text-Driven 3D Editing via Focal-Fusion Assembly. Yuhan Li, Yishun Dou, Yue Shi, Yu Lei, Xuanhong Chen, Yi Zhang, Peng Zhou, Bingbing Ni |
| 2024 | Focus Stacking with High Fidelity and Superior Visual Effects. Bo Liu, Bin Hu, Xiuli Bi, Weisheng Li, Bin Xiao |
| 2024 | Focus-Then-Decide: Segmentation-Assisted Reinforcement Learning. Chao Chen, Jiacheng Xu, Weijian Liao, Hao Ding, Zongzhang Zhang, Yang Yu, Rui Zhao |
| 2024 | Follow Your Pose: Pose-Guided Text-to-Video Generation Using Pose-Free Videos. Yue Ma, Yingqing He, Xiaodong Cun, Xintao Wang, Siran Chen, Xiu Li, Qifeng Chen |
| 2024 | FontDiffuser: One-Shot Font Generation via Denoising Diffusion with Multi-Scale Content Aggregation and Style Contrastive Learning. Zhenhua Yang, Dezhi Peng, Yuxin Kong, Yuyi Zhang, Cong Yao, Lianwen Jin |
| 2024 | Forced Exploration in Bandit Problems. Qi Han, Li Zhu, Fei Guo |
| 2024 | Forecasting Bimanual Object Manipulation Sequences from Unimanual Observations. Haziq Razali, Yiannis Demiris |
| 2024 | Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective. Hyeong Gwon Hong, Yooshin Cho, Hanbyel Cho, Jaesung Ahn, Junmo Kim |
| 2024 | Formal Logic Enabled Personalized Federated Learning through Property Inference. Ziyan An, Taylor T. Johnson, Meiyi Ma |
| 2024 | Fostering Trustworthiness in Machine Learning Algorithms. Mengdi Huai |
| 2024 | Foundations of Autonomous Vehicles: A Curriculum Model for Developing Competencies in Artificial Intelligence and the Internet of Things for Grades 7-10. Elham Buxton, Elahe Javadi, Matthew Hagaman |
| 2024 | Foundations of Reactive Synthesis for Declarative Process Specifications. Luca Geatti, Marco Montali, Andrey Rivkin |
| 2024 | Fractional Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing. Lyudong Jin, Ming Tang, Meng Zhang, Hao Wang |
| 2024 | Frame Semantic Role Labeling Using Arbitrary-Order Conditional Random Fields. Chaoyi Ai, Kewei Tu |
| 2024 | Frequency Oracle for Sensitive Data Monitoring (Student Abstract). Richard Sances, Olivera Kotevska, Paul Laiu |
| 2024 | Frequency Shuffling and Enhancement for Open Set Recognition. Lijun Liu, Rui Wang, Yuan Wang, Lihua Jing, Chuan Wang |
| 2024 | Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector. An Lao, Qi Zhang, Chongyang Shi, Longbing Cao, Kun Yi, Liang Hu, Duoqian Miao |
| 2024 | Frequency-Adaptive Pan-Sharpening with Mixture of Experts. Xuanhua He, Keyu Yan, Rui Li, Chengjun Xie, Jie Zhang, Man Zhou |
| 2024 | Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Domain Learning. Chuangchuang Tan, Yao Zhao, Shikui Wei, Guanghua Gu, Ping Liu, Yunchao Wei |
| 2024 | Frequency-Controlled Diffusion Model for Versatile Text-Guided Image-to-Image Translation. Xiang Gao, Zhengbo Xu, Junhan Zhao, Jiaying Liu |
| 2024 | Friendly Attacks to Improve Channel Coding Reliability. Anastasia Kurmukova, Deniz Gündüz |
| 2024 | From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery. Yuhan Chen, Nuwa Xi, Yanrui Du, Haochun Wang, Jianyu Chen, Sendong Zhao, Bing Qin |
| 2024 | From Coarse to Fine: A Distillation Method for Fine-Grained Emotion-Causal Span Pair Extraction in Conversation. Xinhao Chen, Chong Yang, Changzhi Sun, Man Lan, Aimin Zhou |
| 2024 | From Consumers to Critical Users: Prompty, an AI Literacy Tool for High School Students. Deepak Varuvel Dennison, Raycelle C. C. Garcia, Parth Sarin, Jacob Wolf, Christine Bywater, Benjamin Xie, Victor R. Lee |
| 2024 | From GARCH to Neural Network for Volatility Forecast. Pengfei Zhao, Haoren Zhu, Wilfred Siu Hung Ng, Dik Lun Lee |
| 2024 | From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space. Maximilian Dreyer, Frederik Pahde, Christopher J. Anders, Wojciech Samek, Sebastian Lapuschkin |
| 2024 | From Past to Future: Rethinking Eligibility Traces. Dhawal Gupta, Scott M. Jordan, Shreyas Chaudhari, Bo Liu, Philip S. Thomas, Bruno Castro da Silva |
| 2024 | From Raw Video to Pedagogical Insights: A Unified Framework for Student Behavior Analysis. Zefang Yu, Mingye Xie, Jingsheng Gao, Ting Liu, Yuzhuo Fu |
| 2024 | From Retrieval to Generation: A Simple and Unified Generative Model for End-to-End Task-Oriented Dialogue. Zeyuan Ding, Zhihao Yang, Ling Luo, Yuanyuan Sun, Hongfei Lin |
| 2024 | From Static to Dynamic: Knowledge Metabolism for Large Language Models. Mingzhe Du, Anh Tuan Luu, Bin Ji, See-Kiong Ng |
| 2024 | From Statistical Relational to Neuro-Symbolic Artificial Intelligence. Giuseppe Marra |
| 2024 | From Toxic to Trustworthy: Using Self-Distillation and Semi-supervised Methods to Refine Neural Networks. Xianda Zhang, Baolin Zheng, Jianbao Hu, Chengyang Li, Xiaoying Bai |
| 2024 | Frozen CLIP Transformer Is an Efficient Point Cloud Encoder. Xiaoshui Huang, Zhou Huang, Sheng Li, Wentao Qu, Tong He, Yuenan Hou, Yifan Zuo, Wanli Ouyang |
| 2024 | Frugal LMs Trained to Invoke Symbolic Solvers Achieve Parameter-Efficient Arithmetic Reasoning. Subhabrata Dutta, Ishan Pandey, Joykirat Singh, Sunny Manchanda, Soumen Chakrabarti, Tanmoy Chakraborty |
| 2024 | Full Bayesian Significance Testing for Neural Networks. Zehua Liu, Zimeng Li, Jingyuan Wang, Yue He |
| 2024 | Full-Body Motion Reconstruction with Sparse Sensing from Graph Perspective. Feiyu Yao, Zongkai Wu, Li Yi |
| 2024 | Fully Data-Driven Pseudo Label Estimation for Pointly-Supervised Panoptic Segmentation. Jing Li, Junsong Fan, Yuran Yang, Shuqi Mei, Jun Xiao, Zhaoxiang Zhang |
| 2024 | Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data. Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen |
| 2024 | Fusing Conditional Submodular GAN and Programmatic Weak Supervision. Kumar Shubham, Pranav Sastry, Prathosh AP |
| 2024 | Fusion-Vital: Video-RF Fusion Transformer for Advanced Remote Physiological Measurement. Jae-Ho Choi, Ki-Bong Kang, Kyung-Tae Kim |
| 2024 | FusionFormer: A Concise Unified Feature Fusion Transformer for 3D Pose Estimation. Yanlu Cai, Weizhong Zhang, Yuan Wu, Cheng Jin |
| 2024 | F³-Pruning: A Training-Free and Generalized Pruning Strategy towards Faster and Finer Text-to-Video Synthesis. Sitong Su, Jianzhi Liu, Lianli Gao, Jingkuan Song |
| 2024 | G-Adapter: Towards Structure-Aware Parameter-Efficient Transfer Learning for Graph Transformer Networks. Anchun Gui, Jinqiang Ye, Han Xiao |
| 2024 | G-LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint). Xuhong Li, Haoyi Xiong, Xingjian Li, Xiao Zhang, Ji Liu, Haiyan Jiang, Zeyu Chen, Dejing Dou |
| 2024 | G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection. Fan Wu, Jinling Gao, Lanqing Hong, Xinbing Wang, Chenghu Zhou, Nanyang Ye |
| 2024 | G2L-CariGAN: Caricature Generation from Global Structure to Local Features. Xin Huang, Yunfeng Bai, Dong Liang, Feng Tian, Jinyuan Jia |
| 2024 | G2P-DDM: Generating Sign Pose Sequence from Gloss Sequence with Discrete Diffusion Model. Pan Xie, Qipeng Zhang, Taiying Peng, Hao Tang, Yao Du, Zexian Li |
| 2024 | GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework. Fangyikang Wang, Huminhao Zhu, Chao Zhang, Hanbin Zhao, Hui Qian |
| 2024 | GAMC: An Unsupervised Method for Fake News Detection Using Graph Autoencoder with Masking. Shu Yin, Peican Zhu, Lianwei Wu, Chao Gao, Zhen Wang |
| 2024 | GCNext: Towards the Unity of Graph Convolutions for Human Motion Prediction. Xinshun Wang, Qiongjie Cui, Chen Chen, Mengyuan Liu |
| 2024 | GEAR-Up: Generative AI and External Knowledge-Based Retrieval: Upgrading Scholarly Article Searches for Systematic Reviews. Kaushik Roy, Vedant Khandelwal, Valerie Vera, Harshul Surana, Heather Heckman, Amit P. Sheth |
| 2024 | GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion. Le Cheng, Peican Zhu, Keke Tang, Chao Gao, Zhen Wang |
| 2024 | GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations. Nisal Ranasinghe, Damith A. Senanayake, Sachith Seneviratne, Malin Premaratne, Saman K. Halgamuge |
| 2024 | GLDL: Graph Label Distribution Learning. Yufei Jin, Richard Gao, Yi He, Xingquan Zhu |
| 2024 | GLH-Water: A Large-Scale Dataset for Global Surface Water Detection in Large-Size Very-High-Resolution Satellite Imagery. Yansheng Li, Bo Dang, Wanchun Li, Yongjun Zhang |
| 2024 | GLOP: Learning Global Partition and Local Construction for Solving Large-Scale Routing Problems in Real-Time. Haoran Ye, Jiarui Wang, Helan Liang, Zhiguang Cao, Yong Li, Fanzhang Li |
| 2024 | GMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially Relevant Video Retrieval. Yuting Wang, Jinpeng Wang, Bin Chen, Ziyun Zeng, Shu-Tao Xia |
| 2024 | GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting. Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, Siqiao Xue, James Y. Zhang, Jun Zhou, Hongyuan Mei, Weitao Lin, Zi Zhuang, Wenxin Ning, Yunhua Hu |
| 2024 | GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction Estimation. Abhinav Jain, Vaibhav V. Unhelkar |
| 2024 | GOALNET: Interleaving Neural Goal Predicate Inference with Classical Planning for Generalization in Robot Instruction Following. Jigyasa Gupta, Shreya Sharma, Shreshth Tuli, Rohan Paul, Mausam |
| 2024 | GOODAT: Towards Test-Time Graph Out-of-Distribution Detection. Luzhi Wang, Dongxiao He, He Zhang, Yixin Liu, Wenjie Wang, Shirui Pan, Di Jin, Tat-Seng Chua |
| 2024 | GPT4MTS: Prompt-based Large Language Model for Multimodal Time-series Forecasting. Furong Jia, Kevin Wang, Yixiang Zheng, Defu Cao, Yan Liu |
| 2024 | GSDD: Generative Space Dataset Distillation for Image Super-resolution. Haiyu Zhang, Shaolin Su, Yu Zhu, Jinqiu Sun, Yanning Zhang |
| 2024 | GSENet: Global Semantic Enhancement Network for Lane Detection. Junhao Su, Zhenghan Chen, Chenghao He, Dongzhi Guan, Changpeng Cai, Tongxi Zhou, Jiashen Wei, Wenhua Tian, Zhihuai Xie |
| 2024 | GSN: Generalisable Segmentation in Neural Radiance Field. Vinayak Gupta, Rahul Goel, Dhawal Sirikonda, P. J. Narayanan |
| 2024 | GSO-Net: Grid Surface Optimization via Learning Geometric Constraints. Chaoyun Wang, Jingmin Xin, Nanning Zheng, Caigui Jiang |
| 2024 | G^2SAM: Graph-Based Global Semantic Awareness Method for Multimodal Sarcasm Detection. Yiwei Wei, Shaozu Yuan, Hengyang Zhou, Longbiao Wang, Zhiling Yan, Ruosong Yang, Meng Chen |
| 2024 | GaLileo: General Linear Relaxation Framework for Tightening Robustness Certification of Transformers. Yunruo Zhang, Lujia Shen, Shanqing Guo, Shouling Ji |
| 2024 | Game-Theoretic Unlearnable Example Generator. Shuang Liu, Yihan Wang, Xiao-Shan Gao |
| 2024 | Gated Attention Coding for Training High-Performance and Efficient Spiking Neural Networks. Xuerui Qiu, Rui-Jie Zhu, Yuhong Chou, Zhaorui Wang, Liang-Jian Deng, Guoqi Li |
| 2024 | Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding. Sunoh Kim, Jungchan Cho, Joonsang Yu, Youngjoon Yoo, Jin Young Choi |
| 2024 | Gaussian Process Neural Additive Models. Wei Zhang, Brian Barr, John Paisley |
| 2024 | Gaze Target Detection by Merging Human Attention and Activity Cues. Yaokun Yang, Yihan Yin, Feng Lu |
| 2024 | Gaze from Origin: Learning for Generalized Gaze Estimation by Embedding the Gaze Frontalization Process. Mingjie Xu, Feng Lu |
| 2024 | Gaze-Based Interaction Adaptation for People with Involuntary Head Movements (Student Abstract). Cindy Tong, Rosanna Yuen-Yan Chan |
| 2024 | General Commerce Intelligence: Glocally Federated NLP-Based Engine for Privacy-Preserving and Sustainable Personalized Services of Multi-Merchants. Kyoung Jun Lee, Baek Jeong, Suhyeon Kim, Dam Kim, Dongju Park |
| 2024 | Generalisation through Negation and Predicate Invention. David M. Cerna, Andrew Cropper |
| 2024 | Generalising Planning Environment Redesign. Alberto Pozanco, Ramon Fraga Pereira, Daniel Borrajo |
| 2024 | Generalizable Fourier Augmentation for Unsupervised Video Object Segmentation. Huihui Song, Tiankang Su, Yuhui Zheng, Kaihua Zhang, Bo Liu, Dong Liu |
| 2024 | Generalizable Policy Improvement via Reinforcement Sampling (Student Abstract). Rui Kong, Chenyang Wu, Zongzhang Zhang |
| 2024 | Generalizable Sleep Staging via Multi-Level Domain Alignment. Jiquan Wang, Sha Zhao, Haiteng Jiang, Shijian Li, Tao Li, Gang Pan |
| 2024 | Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations. Renzhe Zhou, Chenxiao Gao, Zongzhang Zhang, Yang Yu |
| 2024 | Generalization Analysis of Machine Learning Algorithms via the Worst-Case Data-Generating Probability Measure. Xinying Zou, Samir M. Perlaza, Iñaki Esnaola, Eitan Altman |
| 2024 | Generalize for Future: Slow and Fast Trajectory Learning for CTR Prediction. Jian Zhu, Congcong Liu, Xue Jiang, Changping Peng, Zhangang Lin, Jingping Shao |
| 2024 | Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons. Julien Fageot, Sadegh Farhadkhani, Lê-Nguyên Hoang, Oscar Villemaud |
| 2024 | Generalized Planning for the Abstraction and Reasoning Corpus. Chao Lei, Nir Lipovetzky, Krista A. Ehinger |
| 2024 | Generalized Planning in PDDL Domains with Pretrained Large Language Models. Tom Silver, Soham Dan, Kavitha Srinivas, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Michael Katz |
| 2024 | Generalized Variational Inference via Optimal Transport. Jinjin Chi, Zhichao Zhang, Zhiyao Yang, Jihong Ouyang, Hongbin Pei |
| 2024 | Generalizing across Temporal Domains with Koopman Operators. Qiuhao Zeng, Wei Wang, Fan Zhou, Gezheng Xu, Ruizhi Pu, Changjian Shui, Christian Gagné, Shichun Yang, Charles X. Ling, Boyu Wang |
| 2024 | Generating Diagnostic and Actionable Explanations for Fair Graph Neural Networks. Zhenzhong Wang, Qingyuan Zeng, Wanyu Lin, Min Jiang, Kay Chen Tan |
| 2024 | Generating Images of Rare Concepts Using Pre-trained Diffusion Models. Dvir Samuel, Rami Ben-Ari, Simon Raviv, Nir Darshan, Gal Chechik |
| 2024 | Generating Novel Leads for Drug Discovery Using LLMs with Logical Feedback. Shreyas Bhat Brahmavar, Ashwin Srinivasan, Tirtharaj Dash, Sowmya Ramaswamy Krishnan, Lovekesh Vig, Arijit Roy, Raviprasad Aduri |
| 2024 | Generating Universal Adversarial Perturbations for Quantum Classifiers. Gautham Anil, Vishnu Vinod, Apurva Narayan |
| 2024 | Generating and Reweighting Dense Contrastive Patterns for Unsupervised Anomaly Detection. Songmin Dai, Yifan Wu, Xiaoqiang Li, Xiangyang Xue |
| 2024 | Generation of Visual Representations for Multi-Modal Mathematical Knowledge. Lianlong Wu, Seewon Choi, Daniel Raggi, Aaron Stockdill, Grecia Garcia Garcia, Fiorenzo Colarusso, Peter C.-H. Cheng, Mateja Jamnik |
| 2024 | Generative Calibration of Inaccurate Annotation for Label Distribution Learning. Liang He, Yunan Lu, Weiwei Li, Xiuyi Jia |
| 2024 | Generative Model Perception Rectification Algorithm for Trade-Off between Diversity and Quality. Guipeng Lan, Shuai Xiao, Jiachen Yang, Jiabao Wen |
| 2024 | Generative Model for Decision Trees. Riccardo Guidotti, Anna Monreale, Mattia Setzu, Giulia Volpi |
| 2024 | Generative Model-Based Feature Knowledge Distillation for Action Recognition. Guiqin Wang, Peng Zhao, Yanjiang Shi, Cong Zhao, Shusen Yang |
| 2024 | Generative Multi-Modal Knowledge Retrieval with Large Language Models. Xinwei Long, Jiali Zeng, Fandong Meng, Zhiyuan Ma, Kaiyan Zhang, Bowen Zhou, Jie Zhou |
| 2024 | Generative-Based Fusion Mechanism for Multi-Modal Tracking. Zhangyong Tang, Tianyang Xu, Xiaojun Wu, Xuefeng Zhu, Josef Kittler |
| 2024 | Generator Assisted Mixture of Experts for Feature Acquisition in Batch. Vedang Asgaonkar, Aditya Jain, Abir De |
| 2024 | Geometric-Facilitated Denoising Diffusion Model for 3D Molecule Generation. Can Xu, Haosen Wang, Weigang Wang, Pengfei Zheng, Hongyang Chen |
| 2024 | Geometry-Guided Domain Generalization for Monocular 3D Object Detection. Fan Yang, Hui Chen, Yuwei He, Sicheng Zhao, Chenghao Zhang, Kai Ni, Guiguang Ding |
| 2024 | Get a Head Start: On-Demand Pedagogical Policy Selection in Intelligent Tutoring. Ge Gao, Xi Yang, Min Chi |
| 2024 | Get an A in Math: Progressive Rectification Prompting. Zhenyu Wu, Meng Jiang, Chao Shen |
| 2024 | Ghost Noise for Regularizing Deep Neural Networks. Atli Kosson, Dongyang Fan, Martin Jaggi |
| 2024 | GigaHumanDet: Exploring Full-Body Detection on Gigapixel-Level Images. Chenglong Liu, Haoran Wei, Jinze Yang, Jintao Liu, Wenxi Li, Yuchen Guo, Lu Fang |
| 2024 | Goal Alignment: Re-analyzing Value Alignment Problems Using Human-Aware AI. Malek Mechergui, Sarath Sreedharan |
| 2024 | GraFITi: Graphs for Forecasting Irregularly Sampled Time Series. Vijaya Krishna Yalavarthi, Kiran Madhusudhanan, Randolf Scholz, Nourhan Ahmed, Johannes Burchert, Shayan Jawed, Stefan Born, Lars Schmidt-Thieme |
| 2024 | Grab What You Need: Rethinking Complex Table Structure Recognition with Flexible Components Deliberation. Hao Liu, Xin Li, Mingming Gong, Bing Liu, Yunfei Wu, Deqiang Jiang, Yinsong Liu, Xing Sun |
| 2024 | GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent. Sascha Marton, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt |
| 2024 | Gradient-Guided Modality Decoupling for Missing-Modality Robustness. Hao Wang, Shengda Luo, Guosheng Hu, Jianguo Zhang |
| 2024 | Gradual Residuals Alignment: A Dual-Stream Framework for GAN Inversion and Image Attribute Editing. Hao Li, Mengqi Huang, Lei Zhang, Bo Hu, Yi Liu, Zhendong Mao |
| 2024 | Gramformer: Learning Crowd Counting via Graph-Modulated Transformer. Hui Lin, Zhiheng Ma, Xiaopeng Hong, Qinnan Shangguan, Deyu Meng |
| 2024 | Graph Anomaly Detection via Prototype-Aware Label Propagation (Student Abstract). Hui Tang, Xun Liang, Sensen Zhang |
| 2024 | Graph Anomaly Detection with Diffusion Model-Based Graph Enhancement (Student Abstract). Shikang Pang, Chunjing Xiao, Wenxin Tai, Zhangtao Cheng, Fan Zhou |
| 2024 | Graph Bayesian Optimization for Multiplex Influence Maximization. Zirui Yuan, Minglai Shao, Zhiqian Chen |
| 2024 | Graph Clustering Methods Derived from Column Subset Selection (Student Abstract). Wei Mao, Guihong Wan, Haim Schweitzer |
| 2024 | Graph Context Transformation Learning for Progressive Correspondence Pruning. Junwen Guo, Guobao Xiao, Shiping Wang, Jun Yu |
| 2024 | Graph Contrastive Invariant Learning from the Causal Perspective. Yanhu Mo, Xiao Wang, Shaohua Fan, Chuan Shi |
| 2024 | Graph Disentangled Contrastive Learning with Personalized Transfer for Cross-Domain Recommendation. Jing Liu, Lele Sun, Weizhi Nie, Peiguang Jing, Yuting Su |
| 2024 | Graph Invariant Learning with Subgraph Co-mixup for Out-of-Distribution Generalization. Tianrui Jia, Haoyang Li, Cheng Yang, Tao Tao, Chuan Shi |
| 2024 | Graph Learning in 4D: A Quaternion-Valued Laplacian to Enhance Spectral GCNs. Stefano Fiorini, Stefano Coniglio, Michele Ciavotta, Enza Messina |
| 2024 | Graph Neural Networks with Soft Association between Topology and Attribute. Yachao Yang, Yanfeng Sun, Shaofan Wang, Jipeng Guo, Junbin Gao, Fujiao Ju, Baocai Yin |
| 2024 | Graph Neural Prompting with Large Language Models. Yijun Tian, Huan Song, Zichen Wang, Haozhu Wang, Ziqing Hu, Fang Wang, Nitesh V. Chawla, Panpan Xu |
| 2024 | Graph Reasoning Transformers for Knowledge-Aware Question Answering. Ruilin Zhao, Feng Zhao, Liang Hu, Guandong Xu |
| 2024 | Graph of Thoughts: Solving Elaborate Problems with Large Language Models. Maciej Besta, Nils Blach, Ales Kubicek, Robert Gerstenberger, Michal Podstawski, Lukas Gianinazzi, Joanna Gajda, Tomasz Lehmann, Hubert Niewiadomski, Piotr Nyczyk, Torsten Hoefler |
| 2024 | Graph-Aware Contrasting for Multivariate Time-Series Classification. Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen |
| 2024 | Graph-Based Prediction and Planning Policy Network (GP3Net) for Scalable Self-Driving in Dynamic Environments Using Deep Reinforcement Learning. Jayabrata Chowdhury, Venkataramanan Shivaraman, Suresh Sundaram, P. B. Sujit |
| 2024 | Greedy-Based Online Fair Allocation with Adversarial Input: Enabling Best-of-Many-Worlds Guarantees. Zongjun Yang, Luofeng Liao, Christian Kroer |
| 2024 | Grey-Box Bayesian Optimization for Sensor Placement in Assisted Living Environments. Shadan Golestan, Omid Ardakanian, Pierre Boulanger |
| 2024 | GridFormer: Point-Grid Transformer for Surface Reconstruction. Shengtao Li, Ge Gao, Yudong Liu, Yu-Shen Liu, Ming Gu |
| 2024 | GroundVLP: Harnessing Zero-Shot Visual Grounding from Vision-Language Pre-training and Open-Vocabulary Object Detection. Haozhan Shen, Tiancheng Zhao, Mingwei Zhu, Jianwei Yin |
| 2024 | Guiding a Harsh-Environments Robust Detector via RAW Data Characteristic Mining. Hongyang Chen, Hung-Shuo Tai, Kaisheng Ma |
| 2024 | GxVAEs: Two Joint VAEs Generate Hit Molecules from Gene Expression Profiles. Chen Li, Yoshihiro Yamanishi |
| 2024 | H-ensemble: An Information Theoretic Approach to Reliable Few-Shot Multi-Source-Free Transfer. Yanru Wu, Jianning Wang, Weida Wang, Yang Li |
| 2024 | H2GFormer: Horizontal-to-Global Voxel Transformer for 3D Semantic Scene Completion. Yu Wang, Chao Tong |
| 2024 | HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion Segmentation. Qihao Xu, Xiaoling Luo, Chao Huang, Chengliang Liu, Jie Wen, Jialei Wang, Yong Xu |
| 2024 | HAGO-Net: Hierarchical Geometric Massage Passing for Molecular Representation Learning. Hongbin Pei, Taile Chen, Chen A, Huiqi Deng, Jing Tao, Pinghui Wang, Xiaohong Guan |
| 2024 | HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors. Xiao Wang, Zongzhen Wu, Bo Jiang, Zhimin Bao, Lin Zhu, Guoqi Li, Yaowei Wang, Yonghong Tian |
| 2024 | HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series Forecasting. Qihe Huang, Lei Shen, Ruixin Zhang, Jiahuan Cheng, Shouhong Ding, Zhengyang Zhou, Yang Wang |
| 2024 | HDformer: A Higher-Dimensional Transformer for Detecting Diabetes Utilizing Long-Range Vascular Signals. Ella Lan |
| 2024 | HEAP: Unsupervised Object Discovery and Localization with Contrastive Grouping. Xin Zhang, Jinheng Xie, Yuan Yuan, Michael Bi Mi, Robby T. Tan |
| 2024 | HGE: Embedding Temporal Knowledge Graphs in a Product Space of Heterogeneous Geometric Subspaces. Jiaxin Pan, Mojtaba Nayyeri, Yinan Li, Steffen Staab |
| 2024 | HGPrompt: Bridging Homogeneous and Heterogeneous Graphs for Few-Shot Prompt Learning. Xingtong Yu, Yuan Fang, Zemin Liu, Xinming Zhang |
| 2024 | HISR: Hybrid Implicit Surface Representation for Photorealistic 3D Human Reconstruction. Angtian Wang, Yuanlu Xu, Nikolaos Sarafianos, Robert Maier, Edmond Boyer, Alan L. Yuille, Tony Tung |
| 2024 | HONGAT: Graph Attention Networks in the Presence of High-Order Neighbors. Heng-Kai Zhang, Yi-Ge Zhang, Zhi Zhou, Yufeng Li |
| 2024 | HOP to the Next Tasks and Domains for Continual Learning in NLP. Umberto Michieli, Mete Ozay |
| 2024 | HORIZON: High-Resolution Semantically Controlled Panorama Synthesis. Kun Yan, Lei Ji, Chenfei Wu, Jian Liang, Ming Zhou, Nan Duan, Shuai Ma |
| 2024 | HR-Pro: Point-Supervised Temporal Action Localization via Hierarchical Reliability Propagation. Huaxin Zhang, Xiang Wang, Xiaohao Xu, Zhiwu Qing, Changxin Gao, Nong Sang |
| 2024 | Hand-Centric Motion Refinement for 3D Hand-Object Interaction via Hierarchical Spatial-Temporal Modeling. Yuze Hao, Jianrong Zhang, Tao Zhuo, Fuan Wen, Hehe Fan |
| 2024 | Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning. Yuxiao Lu, Arunesh Sinha, Pradeep Varakantham |
| 2024 | Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation. Louis Mahon, Thomas Lukasiewicz |
| 2024 | Hardness of Random Reordered Encodings of Parity for Resolution and CDCL. Leroy Chew, Alexis de Colnet, Friedrich Slivovsky, Stefan Szeider |
| 2024 | Harmonious Mobility for Robots that Work with and around People. Christoforos I. Mavrogiannis |
| 2024 | Harnessing Edge Information for Improved Robustness in Vision Transformers. Yanxi Li, Chengbin Du, Chang Xu |
| 2024 | Harnessing Holistic Discourse Features and Triadic Interaction for Sentiment Quadruple Extraction in Dialogues. Bobo Li, Hao Fei, Lizi Liao, Yu Zhao, Fangfang Su, Fei Li, Donghong Ji |
| 2024 | Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models. Jan Finkbeiner, Thomas Gmeinder, Mark Pupilli, Alexander Titterton, Emre Neftci |
| 2024 | Harnessing Network Effect for Fake News Mitigation: Selecting Debunkers via Self-Imitation Learning. Xiaofei Xu, Ke Deng, Michael Dann, Xiuzhen Zhang |
| 2024 | Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification. Wei Tan, Ngoc Dang Nguyen, Lan Du, Wray L. Buntine |
| 2024 | Harnessing the Power of SVD: An SVA Module for Enhanced Signal Classification. Lei Zhai, Shuyuan Yang, Yitong Li, Zhixi Feng, Zhihao Chang, Quanwei Gao |
| 2024 | HarvestNet: A Dataset for Detecting Smallholder Farming Activity Using Harvest Piles and Remote Sensing. Jonathan Xu, Amna Elmustafa, Liya Weldegebriel, Emnet Negash, Richard Lee, Chenlin Meng, Stefano Ermon, David B. Lobell |
| 2024 | Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations. Ke Liang, Sihang Zhou, Meng Liu, Yue Liu, Wenxuan Tu, Yi Zhang, Liming Fang, Zhe Liu, Xinwang Liu |
| 2024 | Hear You Say You: An Efficient Framework for Marine Mammal Sounds' Classification. Xiangrui Liu, Xiaoou Liu, Shan Du, Julian Cheng |
| 2024 | Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables. Haisong Gong, Weizhi Xu, Shu Wu, Qiang Liu, Liang Wang |
| 2024 | Heterogeneous Test-Time Training for Multi-Modal Person Re-identification. Zi Wang, Huaibo Huang, Aihua Zheng, Ran He |
| 2024 | HiFi-Gas: Hierarchical Federated Learning Incentive Mechanism Enhanced Gas Usage Estimation. Hao Sun, Xiaoli Tang, Chengyi Yang, Zhenpeng Yu, Xiuli Wang, Qijie Ding, Zengxiang Li, Han Yu |
| 2024 | HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval. Zexuan Qiu, Jiahong Liu, Yankai Chen, Irwin King |
| 2024 | Hidden Follower Detection: How Is the Gaze-Spacing Pattern Embodied in Frequency Domain? Shu Li, Ruimin Hu, Suhui Li, Liang Liao |
| 2024 | Hierarchical Aligned Multimodal Learning for NER on Tweet Posts. Peipei Liu, Hong Li, Yimo Ren, Jie Liu, Shuaizong Si, Hongsong Zhu, Limin Sun |
| 2024 | Hierarchical Multi-Marginal Optimal Transport for Network Alignment. Zhichen Zeng, Boxin Du, Si Zhang, Yinglong Xia, Zhining Liu, Hanghang Tong |
| 2024 | Hierarchical Planning and Learning for Robots in Stochastic Settings Using Zero-Shot Option Invention. Naman Shah, Siddharth Srivastava |
| 2024 | Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning. Jiangmeng Li, Yifan Jin, Hang Gao, Wenwen Qiang, Changwen Zheng, Fuchun Sun |
| 2024 | Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection. Yuwei Cao, Hao Peng, Zhengtao Yu, Philip S. Yu |
| 2024 | Hierarchize Pareto Dominance in Multi-Objective Stochastic Linear Bandits. Ji Cheng, Bo Xue, Jiaxiang Yi, Qingfu Zhang |
| 2024 | High Significant Fault Detection in Azure Core Workload Insights. Pranay Lohia, Laurent Boué, Sharath Ranganath, Vijay Agneeswaran |
| 2024 | High-Dimensional Analysis for Generalized Nonlinear Regression: From Asymptotics to Algorithm. Jian Li, Yong Liu, Weiping Wang |
| 2024 | High-Fidelity 3D Head Avatars Reconstruction through Spatially-Varying Expression Conditioned Neural Radiance Field. Minghan Qin, Yifan Liu, Yuelang Xu, Xiaochen Zhao, Yebin Liu, Haoqian Wang |
| 2024 | High-Fidelity Diffusion-Based Image Editing. Chen Hou, Guoqiang Wei, Zhibo Chen |
| 2024 | High-Fidelity Gradient Inversion in Distributed Learning. Zipeng Ye, Wenjian Luo, Qi Zhou, Yubo Tang |
| 2024 | High-Order Structure Based Middle-Feature Learning for Visible-Infrared Person Re-identification. Liuxiang Qiu, Si Chen, Yan Yan, Jing-Hao Xue, Da-Han Wang, Shunzhi Zhu |
| 2024 | High-Quality Real-Time Rendering Using Subpixel Sampling Reconstruction. Boyu Zhang, Hongliang Yuan |
| 2024 | Higher-Order Graph Convolutional Network with Flower-Petals Laplacians on Simplicial Complexes. Yiming Huang, Yujie Zeng, Qiang Wu, Linyuan Lü |
| 2024 | History Matters: Temporal Knowledge Editing in Large Language Model. Xunjian Yin, Jin Jiang, Liming Yang, Xiaojun Wan |
| 2024 | Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering. Zichen Wen, Yawen Ling, Yazhou Ren, Tianyi Wu, Jianpeng Chen, Xiaorong Pu, Zhifeng Hao, Lifang He |
| 2024 | Hot or Cold? Adaptive Temperature Sampling for Code Generation with Large Language Models. Yuqi Zhu, Jia Li, Ge Li, Yunfei Zhao, Jia Li, Zhi Jin, Hong Mei |
| 2024 | How Teachers Can Use Large Language Models and Bloom's Taxonomy to Create Educational Quizzes. Sabina Elkins, Ekaterina Kochmar, Jackie C. K. Cheung, Iulian Serban |
| 2024 | How to Evaluate Behavioral Models. Greg d'Eon, Sophie Greenwood, Kevin Leyton-Brown, James R. Wright |
| 2024 | How to Evaluate the Generalization of Detection? A Benchmark for Comprehensive Open-Vocabulary Detection. Yiyang Yao, Peng Liu, Tiancheng Zhao, Qianqian Zhang, Jiajia Liao, Chunxin Fang, Kyusong Lee, Qing Wang |
| 2024 | How to Make Knockout Tournaments More Popular? Juhi Chaudhary, Hendrik Molter, Meirav Zehavi |
| 2024 | How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection? Soumya Suvra Ghosal, Yiyou Sun, Yixuan Li |
| 2024 | How to Protect Copyright Data in Optimization of Large Language Models? Timothy Chu, Zhao Song, Chiwun Yang |
| 2024 | How to Trade Off the Quantity and Capacity of Teacher Ensemble: Learning Categorical Distribution to Stochastically Employ a Teacher for Distillation. Zixiang Ding, Guoqing Jiang, Shuai Zhang, Lin Guo, Wei Lin |
| 2024 | How to Use the Metropolis Algorithm for Multi-Objective Optimization? Weijie Zheng, Mingfeng Li, Renzhong Deng, Benjamin Doerr |
| 2024 | HuTuMotion: Human-Tuned Navigation of Latent Motion Diffusion Models with Minimal Feedback. Gaoge Han, Shaoli Huang, Mingming Gong, Jinglei Tang |
| 2024 | Human-Guided Moral Decision Making in Text-Based Games. Zijing Shi, Meng Fang, Ling Chen, Yali Du, Jun Wang |
| 2024 | Hybrid-SORT: Weak Cues Matter for Online Multi-Object Tracking. Mingzhan Yang, Guangxin Han, Bin Yan, Wenhua Zhang, Jinqing Qi, Huchuan Lu, Dong Wang |
| 2024 | Hybrid-Supervised Dual-Search: Leveraging Automatic Learning for Loss-Free Multi-Exposure Image Fusion. Guanyao Wu, Hongming Fu, Jinyuan Liu, Long Ma, Xin Fan, Risheng Liu |
| 2024 | HybridGait: A Benchmark for Spatial-Temporal Cloth-Changing Gait Recognition with Hybrid Explorations. Yilan Dong, Chunlin Yu, Ruiyang Ha, Ye Shi, Yuexin Ma, Lan Xu, Yanwei Fu, Jingya Wang |
| 2024 | Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection. Thang Doan, Xin Li, Sima Behpour, Wenbin He, Liang Gou, Liu Ren |
| 2024 | HyperCube: Implicit Field Representations of Voxelized 3D Models (Student Abstract). Magdalena Proszewska, Marcin Mazur, Tomasz Trzcinski, Przemyslaw Spurek |
| 2024 | HyperEditor: Achieving Both Authenticity and Cross-Domain Capability in Image Editing via Hypernetworks. Hai Zhang, Chunwei Wu, Guitao Cao, Hailing Wang, Wenming Cao |
| 2024 | HyperFast: Instant Classification for Tabular Data. David Bonet, Daniel Mas Montserrat, Xavier Giró-i-Nieto, Alexander G. Ioannidis |
| 2024 | Hyperbolic Graph Diffusion Model. Lingfeng Wen, Xuan Tang, Mingjie Ouyang, Xiangxiang Shen, Jian Yang, Daxin Zhu, Mingsong Chen, Xian Wei |
| 2024 | Hypercorrelation Evolution for Video Class-Incremental Learning. Sen Liang, Kai Zhu, Wei Zhai, Zhiheng Liu, Yang Cao |
| 2024 | Hypergraph Joint Representation Learning for Hypervertices and Hyperedges via Cross Expansion. Yuguang Yan, Yuanlin Chen, Shibo Wang, Hanrui Wu, Ruichu Cai |
| 2024 | Hypergraph Neural Architecture Search. Wei Lin, Xu Peng, Zhengtao Yu, Taisong Jin |
| 2024 | Hypergraph-Guided Disentangled Spectrum Transformer Networks for Near-Infrared Facial Expression Recognition. Bingjun Luo, Haowen Wang, Jinpeng Wang, Junjie Zhu, Xibin Zhao, Yue Gao |
| 2024 | Hyperspectral Image Reconstruction via Combinatorial Embedding of Cross-Channel Spatio-Spectral Clues. Xingxing Yang, Jie Chen, Zaifeng Yang |
| 2024 | Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood. Weisong Yang, Rafael Poyiadzi, Niall Twomey, Raúl Santos-Rodríguez |
| 2024 | Hypothesis, Verification, and Induction: Grounding Large Language Models with Self-Driven Skill Learning. Shaohui Peng, Xing Hu, Qi Yi, Rui Zhang, Jiaming Guo, Di Huang, Zikang Tian, Ruizhi Chen, Zidong Du, Qi Guo, Yunji Chen, Ling Li |
| 2024 | I Open at the Close: A Deep Reinforcement Learning Evaluation of Open Streets Initiatives. R. Teal Witter, Lucas Rosenblatt |
| 2024 | I Prefer Not to Say: Protecting User Consent in Models with Optional Personal Data. Tobias Leemann, Martin Pawelczyk, Christian Thomas Eberle, Gjergji Kasneci |
| 2024 | I-CEE: Tailoring Explanations of Image Classification Models to User Expertise. Yao Rong, Peizhu Qian, Vaibhav V. Unhelkar, Enkelejda Kasneci |
| 2024 | IBCA: An Intelligent Platform for Social Insurance Benefit Qualification Status Assessment. Yuliang Shi, Lin Cheng, Cheng Jiang, Hui Zhang, Guifeng Li, Xiaoli Tang, Han Yu, Zhiqi Shen, Cyril Leung |
| 2024 | ICAR: Image-Based Complementary Auto Reasoning. Xijun Wang, Anqi Liang, Junbang Liang, Ming C. Lin, Yu Lou, Shan Yang |
| 2024 | IGAMT: Privacy-Preserving Electronic Health Record Synthesization with Heterogeneity and Irregularity. Wenjie Wang, Pengfei Tang, Jian Lou, Yuanming Shao, Lance Waller, Yi-An Ko, Li Xiong |
| 2024 | IINet: Implicit Intra-inter Information Fusion for Real-Time Stereo Matching. Ximeng Li, Chen Zhang, Wanjuan Su, Wenbing Tao |
| 2024 | INFORMEDQX: Informed Conflict Detection for Over-Constrained Problems. Viet-Man Le, Alexander Felfernig, Thi Ngoc Trang Tran, Mathias Uta |
| 2024 | IOFM: Using the Interpolation Technique on the Over-Fitted Models to Identify Clean-Annotated Samples. Dongha Kim, Yongchan Choi, Kunwoong Kim, Ilsang Ohn, Yongdai Kim |
| 2024 | IPRemover: A Generative Model Inversion Attack against Deep Neural Network Fingerprinting and Watermarking. Wei Zong, Yang-Wai Chow, Willy Susilo, Joonsang Baek, Jongkil Kim, Seyit Camtepe |
| 2024 | IRPruneDet: Efficient Infrared Small Target Detection via Wavelet Structure-Regularized Soft Channel Pruning. Mingjin Zhang, Handi Yang, Jie Guo, Yunsong Li, Xinbo Gao, Jing Zhang |
| 2024 | IS-DARTS: Stabilizing DARTS through Precise Measurement on Candidate Importance. Hongyi He, Longjun Liu, Haonan Zhang, Nanning Zheng |
| 2024 | ISP-Teacher: Image Signal Process with Disentanglement Regularization for Unsupervised Domain Adaptive Dark Object Detection. Yin Zhang, Yongqiang Zhang, Zian Zhang, Man Zhang, Rui Tian, Mingli Ding |
| 2024 | IT3D: Improved Text-to-3D Generation with Explicit View Synthesis. Yiwen Chen, Chi Zhang, Xiaofeng Yang, Zhongang Cai, Gang Yu, Lei Yang, Guosheng Lin |
| 2024 | IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers. Jingge Xiao, Leonie Basso, Wolfgang Nejdl, Niloy Ganguly, Sandipan Sikdar |
| 2024 | Identifiability of Direct Effects from Summary Causal Graphs. Simon Ferreira, Charles K. Assaad |
| 2024 | Identification for Tree-Shaped Structural Causal Models in Polynomial Time. Aaryan Gupta, Markus Bläser |
| 2024 | Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model. Jie Qiao, Zhengming Chen, Jianhua Yu, Ruichu Cai, Zhifeng Hao |
| 2024 | Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants. Wei Chen, Zhiyi Huang, Ruichu Cai, Zhifeng Hao, Kun Zhang |
| 2024 | Identification of Necessary Semantic Undertakers in the Causal View for Image-Text Matching. Huatian Zhang, Lei Zhang, Kun Zhang, Zhendong Mao |
| 2024 | Identifying Guarantors of War Veterans Using Robust-SEAL: A Case of the Korean War. Jong In Choi, Won Kyung Lee, Jae Hwan Lee, So Young Sohn |
| 2024 | Identifying Reasons for Bias: An Argumentation-Based Approach. Madeleine Waller, Odinaldo Rodrigues, Oana Cocarascu |
| 2024 | Identifying and Addressing Disparities in Public Libraries with Bayesian Latent Variable Modeling. Zhi Liu, Sarah Rankin, Nikhil Garg |
| 2024 | Identifying, Mitigating, and Anticipating Bias in Algorithmic Decisions. Joachim Baumann |
| 2024 | Image Captioning with Multi-Context Synthetic Data. Feipeng Ma, Yizhou Zhou, Fengyun Rao, Yueyi Zhang, Xiaoyan Sun |
| 2024 | Image Content Generation with Causal Reasoning. Xiaochuan Li, Baoyu Fan, Runze Zhang, Liang Jin, Di Wang, Zhenhua Guo, Yaqian Zhao, Rengang Li |
| 2024 | Image Safeguarding: Reasoning with Conditional Vision Language Model and Obfuscating Unsafe Content Counterfactually. Mazal Bethany, Brandon Wherry, Nishant Vishwamitra, Peyman Najafirad |
| 2024 | Image as a Language: Revisiting Scene Text Recognition via Balanced, Unified and Synchronized Vision-Language Reasoning Network. Jiajun Wei, Hongjian Zhan, Yue Lu, Xiao Tu, Bing Yin, Cong Liu, Umapada Pal |
| 2024 | ImageCaptioner2: Image Captioner for Image Captioning Bias Amplification Assessment. Eslam Abdelrahman, Pengzhan Sun, Li Erran Li, Mohamed Elhoseiny |
| 2024 | ImageSTEAM: Teacher Professional Development for Integrating Visual Computing into Middle School Lessons. Suren Jayasuriya, Kimberlee Swisher, Joshua D. Rego, Sreenithy Chandran, John M. Mativo, Terri Kurz, Cerenity E. Collins, Dawn T. Robinson, Ramana Pidaparti |
| 2024 | Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning. Zeyang Liu, Lipeng Wan, Xinrui Yang, Zhuoran Chen, Xingyu Chen, Xuguang Lan |
| 2024 | Imitate the Good and Avoid the Bad: An Incremental Approach to Safe Reinforcement Learning. Huy Hoang, Tien Mai, Pradeep Varakantham |
| 2024 | Imitation of Life: A Search Engine for Biologically Inspired Design. Hen Emuna, Nadav Borenstein, Xin Qian, Hyeonsu B. Kang, Joel Chan, Aniket Kittur, Dafna Shahaf |
| 2024 | Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization. Dongping Liao, Xitong Gao, Chengzhong Xu |
| 2024 | Implications of Distance over Redistricting Maps: Central and Outlier Maps. Seyed A. Esmaeili, Darshan Chakrabarti, Hayley Grape, Brian Brubach |
| 2024 | Implicit Modeling of Non-rigid Objects with Cross-Category Signals. Yuchun Liu, Benjamin Planche, Meng Zheng, Zhongpai Gao, Pierre Sibut-Bourde, Fan Yang, Terrence Chen, Ziyan Wu |
| 2024 | Improve Robustness of Reinforcement Learning against Observation Perturbations via l∞ Lipschitz Policy Networks. Buqing Nie, Jingtian Ji, Yangqing Fu, Yue Gao |
| 2024 | Improved Anonymous Multi-Agent Path Finding Algorithm. Zain Alabedeen Ali, Konstantin S. Yakovlev |
| 2024 | Improved Bandits in Many-to-One Matching Markets with Incentive Compatibility. Fang Kong, Shuai Li |
| 2024 | Improved Graph Contrastive Learning for Short Text Classification. Yonghao Liu, Lan Huang, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan |
| 2024 | Improved MLP Point Cloud Processing with High-Dimensional Positional Encoding. Yanmei Zou, Hongshan Yu, Zhengeng Yang, Zechuan Li, Naveed Akhtar |
| 2024 | Improved Metric Distortion via Threshold Approvals. Elliot Anshelevich, Aris Filos-Ratsikas, Christopher Jerrett, Alexandros A. Voudouris |
| 2024 | Improving Audio-Visual Segmentation with Bidirectional Generation. Dawei Hao, Yuxin Mao, Bowen He, Xiaodong Han, Yuchao Dai, Yiran Zhong |
| 2024 | Improving Automatic VQA Evaluation Using Large Language Models. Oscar Mañas, Benno Krojer, Aishwarya Agrawal |
| 2024 | Improving Autonomous Separation Assurance through Distributed Reinforcement Learning with Attention Networks. Marc W. Brittain, Luis E. Alvarez, Kara Breeden |
| 2024 | Improving Cross-Modal Alignment with Synthetic Pairs for Text-Only Image Captioning. Zhiyue Liu, Jinyuan Liu, Fanrong Ma |
| 2024 | Improving Diffusion-Based Image Restoration with Error Contraction and Error Correction. Qiqi Bao, Zheng Hui, Rui Zhu, Peiran Ren, Xuansong Xie, Wenming Yang |
| 2024 | Improving Distinguishability of Class for Graph Neural Networks. Dongxiao He, Shuwei Liu, Meng Ge, Zhizhi Yu, Guangquan Xu, Zhiyong Feng |
| 2024 | Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction. Kangkang Lu, Yanhua Yu, Hao Fei, Xuan Li, Zixuan Yang, Zirui Guo, MeiYu Liang, Mengran Yin, Tat-Seng Chua |
| 2024 | Improving Factual Error Correction by Learning to Inject Factual Errors. Xingwei He, Qianru Zhang, A-Long Jin, Jun Ma, Yuan Yuan, Siu Ming Yiu |
| 2024 | Improving Faithfulness in Abstractive Text Summarization with EDUs Using BART (Student Abstract). Narjes Delpisheh, Yllias Chali |
| 2024 | Improving GNN Calibration with Discriminative Ability: Insights and Strategies. Yujie Fang, Xin Li, Qianyu Chen, Mingzhong Wang |
| 2024 | Improving Health Information Access in the World's Largest Maternal Mobile Health Program via Bandit Algorithms. Arshika Lalan, Shresth Verma, Paula Rodriguez Diaz, Panayiotis Danassis, Amrita Mahale, Kumar Madhu Sudan, Aparna Hegde, Milind Tambe, Aparna Taneja |
| 2024 | Improving IP Geolocation With Target-Centric IP Graph (Student Abstract). Kai Yang, Jiayang Li, Wenxin Tai, Zhenhui Li, Ting Zhong, Guangqiang Yin, Yong Wang |
| 2024 | Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis. James R. Kirk, Robert E. Wray, Peter Lindes, John E. Laird |
| 2024 | Improving Neural Network Generalization on Data-Limited Regression with Doubly-Robust Boosting. Hao Wang |
| 2024 | Improving Open Set Recognition via Visual Prompts Distilled from Common-Sense Knowledge. Seongyeop Kim, Hyung-Il Kim, Yong Man Ro |
| 2024 | Improving Open-Domain Dialogue Response Generation with Multi-Source Multilingual Commonsense Knowledge. Sixing Wu, Jiong Yu, Jiahao Chen, XiaoFan Deng, Wei Zhou |
| 2024 | Improving PTM Site Prediction by Coupling of Multi-Granularity Structure and Multi-Scale Sequence Representation. Zhengyi Li, Menglu Li, Lida Zhu, Wen Zhang |
| 2024 | Improving Panoptic Narrative Grounding by Harnessing Semantic Relationships and Visual Confirmation. Tianyu Guo, Haowei Wang, Yiwei Ma, Jiayi Ji, Xiaoshuai Sun |
| 2024 | Improving Robustness for Joint Optimization of Camera Pose and Decomposed Low-Rank Tensorial Radiance Fields. Bo-Yu Chen, Wei-Chen Chiu, Yu-Lun Liu |
| 2024 | Improving Transferability for Cross-Domain Trajectory Prediction via Neural Stochastic Differential Equation. Daehee Park, Jaewoo Jeong, Kuk-Jin Yoon |
| 2024 | Improving the Adversarial Transferability of Vision Transformers with Virtual Dense Connection. Jianping Zhang, Yizhan Huang, Zhuoer Xu, Weibin Wu, Michael R. Lyu |
| 2024 | Improving the Robustness of Knowledge-Grounded Dialogue via Contrastive Learning. Jiaan Wang, Jianfeng Qu, Kexin Wang, Zhixu Li, Wen Hua, Ximing Li, An Liu |
| 2024 | In-Hand 3D Object Reconstruction from a Monocular RGB Video. Shijian Jiang, Qi Ye, Rengan Xie, Yuchi Huo, Xiang Li, Yang Zhou, Jiming Chen |
| 2024 | IncepSeqNet: Advancing Signal Classification with Multi-Shape Augmentation (Student Abstract). Jongseok Kim, Ohyun Jo |
| 2024 | Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding. Guoqing Chao, Yi Jiang, Dianhui Chu |
| 2024 | Inconsistency-Based Data-Centric Active Open-Set Annotation. Ruiyu Mao, Ouyang Xu, Yunhui Guo |
| 2024 | Incorporating Serverless Computing into P2P Networks for ML Training: In-Database Tasks and Their Scalability Implications (Student Abstract). Amine Barrak |
| 2024 | Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates. Zhuanghua Liu, Luo Luo, Bryan Kian Hsiang Low |
| 2024 | Independence of Irrelevant Alternatives under the Lens of Pairwise Distortion. Théo Delemazure, Jérôme Lang, Grzegorz Pierczynski |
| 2024 | Independency Adversarial Learning for Cross-Modal Sound Separation. Zhenkai Lin, Yanli Ji, Yang Yang |
| 2024 | IndicCONAN: A Multilingual Dataset for Combating Hate Speech in Indian Context. Nihar Ranja Sahoo, Gyana Prakash Beria, Pushpak Bhattacharyya |
| 2024 | Inducing Clusters Deep Kernel Gaussian Process for Longitudinal Data. Junjie Liang, Weijieying Ren, Hanifi Sahar, Vasant G. Honavar |
| 2024 | Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs. Seungjun Lee, Taeil Oh |
| 2024 | Inertial Algorithm with Dry Fraction and Convolutional Sparse Coding for 3D Localization with Light Field Microscopy. Xiaofan Wang, Zhiyuan Deng, Changle Wang, Jinjia Wang |
| 2024 | Inference and Learning in Dynamic Decision Networks Using Knowledge Compilation. Gabriele Venturato, Vincent Derkinderen, Pedro Zuidberg Dos Martires, Luc De Raedt |
| 2024 | Influential Exemplar Replay for Incremental Learning in Recommender Systems. Xinni Zhang, Yankai Chen, Chenhao Ma, Yixiang Fang, Irwin King |
| 2024 | Information Design for Congestion Games with Unknown Demand. Svenja M. Griesbach, Martin Hoefer, Max Klimm, Tim Koglin |
| 2024 | Input Margins Can Predict Generalization Too. Coenraad Mouton, Marthinus Wilhelmus Theunissen, Marelie H. Davel |
| 2024 | Inspecting Prediction Confidence for Detecting Black-Box Backdoor Attacks. Tong Wang, Yuan Yao, Feng Xu, Miao Xu, Shengwei An, Ting Wang |
| 2024 | Instance-Aware Multi-Camera 3D Object Detection with Structural Priors Mining and Self-Boosting Learning. Yang Jiao, Zequn Jie, Shaoxiang Chen, Lechao Cheng, Jingjing Chen, Lin Ma, Yu-Gang Jiang |
| 2024 | Instance-Conditional Timescales of Decay for Non-Stationary Learning. Nishant Jain, Pradeep Shenoy |
| 2024 | Instance-Wise Laplace Mechanism via Deep Reinforcement Learning (Student Abstract). Sehyun Ryu, Hosung Joo, Jonggyu Jang, Hyun Jong Yang |
| 2024 | InstructDoc: A Dataset for Zero-Shot Generalization of Visual Document Understanding with Instructions. Ryota Tanaka, Taichi Iki, Kyosuke Nishida, Kuniko Saito, Jun Suzuki |
| 2024 | Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders. Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Wentao Gao, Thuc Duy Le |
| 2024 | Integer Is Enough: When Vertical Federated Learning Meets Rounding. Pengyu Qiu, Yuwen Pu, Yongchao Liu, Wenyan Liu, Yun Yue, Xiaowei Zhu, Lichun Li, Jinbao Li, Shouling Ji |
| 2024 | Integrated Decision Gradients: Compute Your Attributions Where the Model Makes Its Decision. Chase Walker, Sumit Kumar Jha, Kenny Chen, Rickard Ewetz |
| 2024 | Integrated Systems for Computational Scientific Discovery. Pat Langley |
| 2024 | Integrating Neural Pathways for Learning in Deep Reinforcement Learning Models. Varun Ananth |
| 2024 | Intelligent Calibration for Bias Reduction in Sentiment Corpora Annotation Process. Idan Toker, David Sarne, Jonathan Schler |
| 2024 | Intentional Evolutionary Learning for Untrimmed Videos with Long Tail Distribution. Yuxi Zhou, Xiujie Wang, Jianhua Zhang, Jiajia Wang, Jie Yu, Hao Zhou, Yi Gao, Shengyong Chen |
| 2024 | Interactive Human-Centric Bias Mitigation. Inge Vejsbjerg, Elizabeth M. Daly, Rahul Nair, Svetoslav Nizhnichenkov |
| 2024 | Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning. Joseph Giovanelli, Alexander Tornede, Tanja Tornede, Marius Lindauer |
| 2024 | Interactive Mars Image Content-Based Search with Interpretable Machine Learning. Bhavan Vasu, Steven Lu, Emily Dunkel, Kiri L. Wagstaff, Kevin Grimes, Michael McAuley |
| 2024 | Interactive Plan Selection Using Linear Temporal Logic, Disjunctive Action Landmarks, and Natural Language Instruction. Tathagata Chakraborti, Jungkoo Kang, Francesco Fuggitti, Michael Katz, Shirin Sohrabi |
| 2024 | Interactive Theorem Provers: Applications in AI, Opportunities, and Challenges. Mohammad Abdulaziz |
| 2024 | Interactive Visual Task Learning for Robots. Weiwei Gu, Anant Sah, Nakul Gopalan |
| 2024 | Interactive Visual Task Learning for Robots. Weiwei Gu, Anant Sah, Nakul Gopalan |
| 2024 | InterpretARA: Enhancing Hybrid Automatic Readability Assessment with Linguistic Feature Interpreter and Contrastive Learning. Jinshan Zeng, Xianchao Tong, Xianglong Yu, Wenyan Xiao, Qing Huang |
| 2024 | Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations. Mikolaj Sacha, Bartosz Jura, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski |
| 2024 | Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language Models. Antoine Louis, Gijs van Dijck, Gerasimos Spanakis |
| 2024 | Interpretable3D: An Ad-Hoc Interpretable Classifier for 3D Point Clouds. Tuo Feng, Ruijie Quan, Xiaohan Wang, Wenguan Wang, Yi Yang |
| 2024 | Interpreting Temporal Knowledge Graph Reasoning (Student Abstract). Bin Chen, Kai Yang, Wenxin Tai, Zhangtao Cheng, Leyuan Liu, Ting Zhong, Fan Zhou |
| 2024 | Intersection of Artificial Intelligence and Medical Education (Student Abstract). Keefer P. Wu, Patricia C. Tsang |
| 2024 | Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems. Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Meng Li, Weiming Liu, Binhui Yao, Yuyuan Li, Jianwei Yin |
| 2024 | Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning. Junkai Zhang, Yifan Zhang, Xi Sheryl Zhang, Yifan Zang, Jian Cheng |
| 2024 | Intrinsic Phase-Preserving Networks for Depth Super Resolution. Xuanhong Chen, Hang Wang, Jialiang Chen, Kairui Feng, Jinfan Liu, Xiaohang Wang, Weimin Zhang, Bingbing Ni |
| 2024 | Introduction to the Special Track on Artificial Intelligence and COVID-19 (Abstract Reprint). Martin Michalowski, Robert Moskovitch, Nitesh V. Chawla |
| 2024 | Invariant Random Forest: Tree-Based Model Solution for OOD Generalization. Yufan Liao, Qi Wu, Xing Yan |
| 2024 | Inverse Weight-Balancing for Deep Long-Tailed Learning. Wenqi Dang, Zhou Yang, Weisheng Dong, Xin Li, Guangming Shi |
| 2024 | Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following. Seonghyeon Ye, Hyeonbin Hwang, Sohee Yang, Hyeongu Yun, Yireun Kim, Minjoon Seo |
| 2024 | Investigation into Training Dynamics of Learned Optimizers (Student Abstract). Jan Sobotka, Petr Simánek |
| 2024 | Invisible Backdoor Attack against 3D Point Cloud Classifier in Graph Spectral Domain. Linkun Fan, Fazhi He, Tongzhen Si, Wei Tang, Bing Li |
| 2024 | Is a Large Language Model a Good Annotator for Event Extraction? Ruirui Chen, Chengwei Qin, Weifeng Jiang, Dongkyu Choi |
| 2024 | Iterative Regularization with k-support Norm: An Important Complement to Sparse Recovery. William de Vazelhes, Bhaskar Mukhoty, Xiao-Tong Yuan, Bin Gu |
| 2024 | Iterative Token Evaluation and Refinement for Real-World Super-resolution. Chaofeng Chen, Shangchen Zhou, Liang Liao, Haoning Wu, Wenxiu Sun, Qiong Yan, Weisi Lin |
| 2024 | JoLT: Jointly Learned Representations of Language and Time-Series for Clinical Time-Series Interpretation (Student Abstract). Yifu Cai, Arvind Srinivasan, Mononito Goswami, Arjun Choudhry, Artur Dubrawski |
| 2024 | Joint Demosaicing and Denoising for Spike Camera. Yanchen Dong, Ruiqin Xiong, Jing Zhao, Jian Zhang, Xiaopeng Fan, Shuyuan Zhu, Tiejun Huang |
| 2024 | Joint Learning Neuronal Skeleton and Brain Circuit Topology with Permutation Invariant Encoders for Neuron Classification. Minghui Liao, Guojia Wan, Bo Du |
| 2024 | Jointly Improving the Sample and Communication Complexities in Decentralized Stochastic Minimax Optimization. Xuan Zhang, Gabriel Mancino-Ball, Necdet Serhat Aybat, Yangyang Xu |
| 2024 | Jointly Modeling Spatio-Temporal Features of Tactile Signals for Action Classification. Jimmy Lin, Junkai Li, Jiasi Gao, Weizhi Ma, Yang Liu |
| 2024 | Journey to the Center of the Knowledge Neurons: Discoveries of Language-Independent Knowledge Neurons and Degenerate Knowledge Neurons. Yuheng Chen, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao |
| 2024 | KAM-CoT: Knowledge Augmented Multimodal Chain-of-Thoughts Reasoning. Debjyoti Mondal, Suraj Modi, Subhadarshi Panda, Rituraj Singh, Godawari Sudhakar Rao |
| 2024 | KAMEL: Knowledge Aware Medical Entity Linkage to Automate Health Insurance Claims Processing. Sheng Jie Lui, Cheng Xiang, Shonali Krishnaswamy |
| 2024 | KD-Club: An Efficient Exact Algorithm with New Coloring-Based Upper Bound for the Maximum k-Defective Clique Problem. Mingming Jin, Jiongzhi Zheng, Kun He |
| 2024 | KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs. Ruoqi Liu, Lingfei Wu, Ping Zhang |
| 2024 | KGDM: A Diffusion Model to Capture Multiple Relation Semantics for Knowledge Graph Embedding. Xiao Long, Liansheng Zhuang, Aodi Li, Jiuchang Wei, Houqiang Li, Shafei Wang |
| 2024 | KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding. Zhen Chen, Dalin Zhang, Shanshan Feng, Kaixuan Chen, Lisi Chen, Peng Han, Shuo Shang |
| 2024 | KPA-Tracker: Towards Robust and Real-Time Category-Level Articulated Object 6D Pose Tracking. Liu Liu, Anran Huang, Qi Wu, Dan Guo, Xun Yang, Meng Wang |
| 2024 | KeDuSR: Real-World Dual-Lens Super-Resolution via Kernel-Free Matching. Huanjing Yue, Zifan Cui, Kun Li, Jingyu Yang |
| 2024 | Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning. Tom Nuno Wolf, Fabian Bongratz, Anne-Marie Rickmann, Sebastian Pölsterl, Christian Wachinger |
| 2024 | Kepler Light Curve Classification Using Deep Learning and Markov Transition Field (Student Abstract). Shane Donnelly, Ayan Dutta |
| 2024 | Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization. Xu Cai, Jonathan Scarlett |
| 2024 | Keypoint Fusion for RGB-D Based 3D Hand Pose Estimation. Xingyu Liu, Pengfei Ren, Yuanyuan Gao, Jingyu Wang, Haifeng Sun, Qi Qi, Zirui Zhuang, Jianxin Liao |
| 2024 | Knowledge Distillation from Single-Task Teachers to Multi-Task Student for End-to-End Autonomous Driving. Pedram Agand |
| 2024 | Knowledge Enhanced Representation Learning for Drug Discovery. Thanh Lam Hoang, Marco Luca Sbodio, Marcos Martínez Galindo, Mykhaylo Zayats, Raúl Fernández-Díaz, Victor Valls, Gabriele Picco, Cesar Berrospi, Vanessa López |
| 2024 | Knowledge Graph Error Detection with Contrastive Confidence Adaption. Xiangyu Liu, Yang Liu, Wei Hu |
| 2024 | Knowledge Graph Prompting for Multi-Document Question Answering. Yu Wang, Nedim Lipka, Ryan A. Rossi, Alexa F. Siu, Ruiyi Zhang, Tyler Derr |
| 2024 | Knowledge Guided Semi-supervised Learning for Quality Assessment of User Generated Videos. Shankhanil Mitra, Rajiv Soundararajan |
| 2024 | Knowledge Transfer via Compact Model in Federated Learning (Student Abstract). Jiaming Pei, Wei Li, Lukun Wang |
| 2024 | Knowledge-Aware Explainable Reciprocal Recommendation. Kai-Huang Lai, Zhe-Rui Yang, Pei-Yuan Lai, Chang-Dong Wang, Mohsen Guizani, Min Chen |
| 2024 | Knowledge-Aware Neuron Interpretation for Scene Classification. Yong Guan, Freddy Lécué, Jiaoyan Chen, Ru Li, Jeff Z. Pan |
| 2024 | Knowledge-Aware Parameter Coaching for Personalized Federated Learning. Mingjian Zhi, Yuanguo Bi, Wenchao Xu, Haozhao Wang, Tianao Xiang |
| 2024 | Knowledge-Enhanced Historical Document Segmentation and Recognition. En-Hao Gao, Yu-Xuan Huang, Wen-Chao Hu, Xin-Hao Zhu, Wang-Zhou Dai |
| 2024 | Knowledge-Powered Recommendation for an Improved Diet Water Footprint. Saurav Joshi, Filip Ilievski, Jay Pujara |
| 2024 | Kumaraswamy Wavelet for Heterophilic Scene Graph Generation. Lianggangxu Chen, Youqi Song, Shaohui Lin, Changbo Wang, Gaoqi He |
| 2024 | LAFA: Multimodal Knowledge Graph Completion with Link Aware Fusion and Aggregation. Bin Shang, Yinliang Zhao, Jun Liu, Di Wang |
| 2024 | LAMM: Label Alignment for Multi-Modal Prompt Learning. Jingsheng Gao, Jiacheng Ruan, Suncheng Xiang, Zefang Yu, Ke Ji, Mingye Xie, Ting Liu, Yuzhuo Fu |
| 2024 | LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using Adversarial Training. Khoi M. Le, Trinh Pham, Tho Quan, Anh Tuan Luu |
| 2024 | LDMVFI: Video Frame Interpolation with Latent Diffusion Models. Duolikun Danier, Fan Zhang, David Bull |
| 2024 | LDS2AE: Local Diffusion Shared-Specific Autoencoder for Multimodal Remote Sensing Image Classification with Arbitrary Missing Modalities. Jiahui Qu, Yuanbo Yang, Wenqian Dong, Yufei Yang |
| 2024 | LERE: Learning-Based Low-Rank Matrix Recovery with Rank Estimation. Zhengqin Xu, Yulun Zhang, Chao Ma, Yichao Yan, Zelin Peng, Shoulie Xie, Shiqian Wu, Xiaokang Yang |
| 2024 | LERMO: A Novel Web Game for AI-Enhanced Sign Language Recognition. Adilson Medronha, Luís Lima, Janaína Claudio, Lucas S. Kupssinskü, Rodrigo C. Barros |
| 2024 | LF-ViT: Reducing Spatial Redundancy in Vision Transformer for Efficient Image Recognition. Youbing Hu, Yun Cheng, Anqi Lu, Zhiqiang Cao, Dawei Wei, Jie Liu, Zhijun Li |
| 2024 | LGMRec: Local and Global Graph Learning for Multimodal Recommendation. Zhiqiang Guo, Jianjun Li, Guohui Li, Chaoyang Wang, Si Shi, Bin Ruan |
| 2024 | LINGO-Space: Language-Conditioned Incremental Grounding for Space. Dohyun Kim, Nayoung Oh, Deokmin Hwang, Daehyung Park |
| 2024 | LION: Implicit Vision Prompt Tuning. Haixin Wang, Jianlong Chang, Yihang Zhai, Xiao Luo, Jinan Sun, Zhouchen Lin, Qi Tian |
| 2024 | LISR: Learning Linear 3D Implicit Surface Representation Using Compactly Supported Radial Basis Functions. Atharva Pandey, Vishal Yadav, Rajendra Nagar, Santanu Chaudhury |
| 2024 | LLM vs Small Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model. Linmei Hu, Hongyu He, Duokang Wang, Ziwang Zhao, Yingxia Shao, Liqiang Nie |
| 2024 | LLM-Powered Synthetic Environments for Self-Driving Scenarios. Oluwanifemi Adebayo Moses Adekanye |
| 2024 | LLMEval: A Preliminary Study on How to Evaluate Large Language Models. Yue Zhang, Ming Zhang, Haipeng Yuan, Shichun Liu, Yongyao Shi, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | LLMGuard: Guarding against Unsafe LLM Behavior. Shubh Goyal, Medha Hira, Shubham Mishra, Sukriti Goyal, Arnav Goel, Niharika Dadu, Kirushikesh D. B., Sameep Mehta, Nishtha Madaan |
| 2024 | LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs. Yan Wang, Zhixuan Chu, Xin Ouyang, Simeng Wang, Hongyan Hao, Yue Shen, Jinjie Gu, Siqiao Xue, James Zhang, Qing Cui, Longfei Li, Jun Zhou, Sheng Li |
| 2024 | LMD: Faster Image Reconstruction with Latent Masking Diffusion. Zhiyuan Ma, Zhihuan Yu, Jianjun Li, Bowen Zhou |
| 2024 | LR-XFL: Logical Reasoning-Based Explainable Federated Learning. Yanci Zhang, Han Yu |
| 2024 | LRANet: Towards Accurate and Efficient Scene Text Detection with Low-Rank Approximation Network. Yuchen Su, Zhineng Chen, Zhiwen Shao, Yuning Du, Zhilong Ji, Jinfeng Bai, Yong Zhou, Yu-Gang Jiang |
| 2024 | LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate. Tao Wu, Tie Luo, Donald C. Wunsch II |
| 2024 | LSTKC: Long Short-Term Knowledge Consolidation for Lifelong Person Re-identification. Kunlun Xu, Xu Zou, Jiahuan Zhou |
| 2024 | LaMAR: Laplacian Pyramid for Multimodal Adaptive Super Resolution (Student Abstract). Aditya Kasliwal, Aryan Kamani, Ishaan Gakhar, Pratinav Seth, Sriya Rallabandi |
| 2024 | LaViP: Language-Grounded Visual Prompting. Nilakshan Kunananthaseelan, Jing Zhang, Mehrtash Harandi |
| 2024 | Label Attentive Distillation for GNN-Based Graph Classification. Xiaobin Hong, Wenzhong Li, Chaoqun Wang, Mingkai Lin, Sanglu Lu |
| 2024 | Label-Efficient Few-Shot Semantic Segmentation with Unsupervised Meta-Training. Jianwu Li, Kaiyue Shi, Guo-Sen Xie, Xiaofeng Liu, Jian Zhang, Tianfei Zhou |
| 2024 | Labels Need Prompts Too: Mask Matching for Natural Language Understanding Tasks. Bo Li, Wei Ye, Quansen Wang, Wen Zhao, Shikun Zhang |
| 2024 | LaneGraph2Seq: Lane Topology Extraction with Language Model via Vertex-Edge Encoding and Connectivity Enhancement. Renyuan Peng, Xinyue Cai, Hang Xu, Jiachen Lu, Feng Wen, Wei Zhang, Li Zhang |
| 2024 | Language-Guided Transformer for Federated Multi-Label Classification. I-Jieh Liu, Ci-Siang Lin, Fu-En Yang, Yu-Chiang Frank Wang |
| 2024 | Large Language Models Are Clinical Reasoners: Reasoning-Aware Diagnosis Framework with Prompt-Generated Rationales. Taeyoon Kwon, Kai Tzu-iunn Ong, Dongjin Kang, Seungjun Moon, Jeong Ryong Lee, Dosik Hwang, Beomseok Sohn, Yongsik Sim, Dongha Lee, Jinyoung Yeo |
| 2024 | Large Language Models Are Neurosymbolic Reasoners. Meng Fang, Shilong Deng, Yudi Zhang, Zijing Shi, Ling Chen, Mykola Pechenizkiy, Jun Wang |
| 2024 | Large Language Models as Planning Domain Generators (Student Abstract). James T. Oswald, Kavitha Srinivas, Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi |
| 2024 | Large Occluded Human Image Completion via Image-Prior Cooperating. Hengrun Zhao, Yu Zeng, Huchuan Lu, Lijun Wang |
| 2024 | Large-Scale Multi-Robot Coverage Path Planning via Local Search. Jingtao Tang, Hang Ma |
| 2024 | Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization. Qi Zhang, Yi Zhou, Ashley Prater-Bennette, Lixin Shen, Shaofeng Zou |
| 2024 | Latent Diffusion Transformer for Probabilistic Time Series Forecasting. Shibo Feng, Chunyan Miao, Zhong Zhang, Peilin Zhao |
| 2024 | Latent Space Editing in Transformer-Based Flow Matching. Vincent Tao Hu, Wei Zhang, Meng Tang, Pascal Mettes, Deli Zhao, Cees Snoek |
| 2024 | LatestEval: Addressing Data Contamination in Language Model Evaluation through Dynamic and Time-Sensitive Test Construction. Yucheng Li, Frank Guerin, Chenghua Lin |
| 2024 | Layer Attack Unlearning: Fast and Accurate Machine Unlearning via Layer Level Attack and Knowledge Distillation. Hyunjune Kim, Sangyong Lee, Simon S. Woo |
| 2024 | Layer Collaboration in the Forward-Forward Algorithm. Guy Lorberbom, Itai Gat, Yossi Adi, Alexander G. Schwing, Tamir Hazan |
| 2024 | Layer Compression of Deep Networks with Straight Flows. Chengyue Gong, Xiaocong Du, Bhargav Bhushanam, Lemeng Wu, Xingchao Liu, Dhruv Choudhary, Arun Kejariwal, Qiang Liu |
| 2024 | Layer-Wise Representation Fusion for Compositional Generalization. Yafang Zheng, Lei Lin, Shuangtao Li, Yuxuan Yuan, Zhaohong Lai, Shan Liu, Biao Fu, Yidong Chen, Xiaodong Shi |
| 2024 | Learn How to See: Collaborative Embodied Learning for Object Detection and Camera Adjusting. Lingdong Shen, Chunlei Huo, Nuo Xu, Chaowei Han, Zichen Wang |
| 2024 | Learn the Force We Can: Enabling Sparse Motion Control in Multi-Object Video Generation. Aram Davtyan, Paolo Favaro |
| 2024 | Learn to Follow: Decentralized Lifelong Multi-Agent Pathfinding via Planning and Learning. Alexey Skrynnik, Anton Andreychuk, Maria Nesterova, Konstantin S. Yakovlev, Aleksandr Panov |
| 2024 | Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation. Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Yanchao Tan, Fan Wang, Xiaolin Zheng, Yew Soon Ong |
| 2024 | Learning Bayesian Network Classifiers to Minimize the Class Variable Parameters. Shouta Sugahara, Koya Kato, Maomi Ueno |
| 2024 | Learning Broadcast Protocols. Dana Fisman, Noa Izsak, Swen Jacobs |
| 2024 | Learning Cluster-Wise Anchors for Multi-View Clustering. Chao Zhang, Xiuyi Jia, Zechao Li, Chunlin Chen, Huaxiong Li |
| 2024 | Learning Coalition Structures with Games. Yixuan Even Xu, Chun Kai Ling, Fei Fang |
| 2024 | Learning Content-Enhanced Mask Transformer for Domain Generalized Urban-Scene Segmentation. Qi Bi, Shaodi You, Theo Gevers |
| 2024 | Learning Continuous Implicit Field with Local Distance Indicator for Arbitrary-Scale Point Cloud Upsampling. Shujuan Li, Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Zhizhong Han |
| 2024 | Learning Deformable Hypothesis Sampling for Accurate PatchMatch Multi-View Stereo. Hongjie Li, Yao Guo, Xianwei Zheng, Hanjiang Xiong |
| 2024 | Learning Dense Correspondence for NeRF-Based Face Reenactment. Songlin Yang, Wei Wang, Yushi Lan, Xiangyu Fan, Bo Peng, Lei Yang, Jing Dong |
| 2024 | Learning Diffusions under Uncertainty. Hao Huang, Qian Yan, Keqi Han, Ting Gan, Jiawei Jiang, Quanqing Xu, Chuanhui Yang |
| 2024 | Learning Discrete-Time Major-Minor Mean Field Games. Kai Cui, Gökçe Dayanikli, Mathieu Laurière, Matthieu Geist, Olivier Pietquin, Heinz Koeppl |
| 2024 | Learning Discriminative Noise Guidance for Image Forgery Detection and Localization. Jiaying Zhu, Dong Li, Xueyang Fu, Gang Yang, Jie Huang, Aiping Liu, Zheng-Jun Zha |
| 2024 | Learning Diverse Risk Preferences in Population-Based Self-Play. Yuhua Jiang, Qihan Liu, Xiaoteng Ma, Chenghao Li, Yiqin Yang, Jun Yang, Bin Liang, Qianchuan Zhao |
| 2024 | Learning Domain-Independent Heuristics for Grounded and Lifted Planning. Dillon Ze Chen, Sylvie Thiébaux, Felipe W. Trevizan |
| 2024 | Learning Efficient and Robust Multi-Agent Communication via Graph Information Bottleneck. Shifei Ding, Wei Du, Ling Ding, Lili Guo, Jian Zhang |
| 2024 | Learning Encodings for Constructive Neural Combinatorial Optimization Needs to Regret. Rui Sun, Zhi Zheng, Zhenkun Wang |
| 2024 | Learning Explicit Contact for Implicit Reconstruction of Hand-Held Objects from Monocular Images. Junxing Hu, Hongwen Zhang, Zerui Chen, Mengcheng Li, Yunlong Wang, Yebin Liu, Zhenan Sun |
| 2024 | Learning Fair Policies for Multi-Stage Selection Problems from Observational Data. Zhuangzhuang Jia, Grani A. Hanasusanto, Phebe Vayanos, Weijun Xie |
| 2024 | Learning GAI-Decomposable Utility Models for Multiattribute Decision Making. Margot Herin, Patrice Perny, Nataliya Sokolovska |
| 2024 | Learning Generalizable and Composable Abstractions for Transfer in Reinforcement Learning. Rashmeet Kaur Nayyar |
| 2024 | Learning Generalized Medical Image Segmentation from Decoupled Feature Queries. Qi Bi, Jingjun Yi, Hao Zheng, Wei Ji, Yawen Huang, Yuexiang Li, Yefeng Zheng |
| 2024 | Learning Generalized Segmentation for Foggy-Scenes by Bi-directional Wavelet Guidance. Qi Bi, Shaodi You, Theo Gevers |
| 2024 | Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models. Yubin Wang, Xinyang Jiang, De Cheng, Dongsheng Li, Cairong Zhao |
| 2024 | Learning Hybrid Dynamics Models with Simulator-Informed Latent States. Katharina Ensinger, Sebastian Ziesche, Sebastian Trimpe |
| 2024 | Learning Image Demoiréing from Unpaired Real Data. Yunshan Zhong, Yuyao Zhou, Yuxin Zhang, Fei Chao, Rongrong Ji |
| 2024 | Learning Invariant Inter-pixel Correlations for Superpixel Generation. Sen Xu, Shikui Wei, Tao Ruan, Lixin Liao |
| 2024 | Learning MDL Logic Programs from Noisy Data. Céline Hocquette, Andreas Niskanen, Matti Järvisalo, Andrew Cropper |
| 2024 | Learning Multi-Modal Cross-Scale Deformable Transformer Network for Unregistered Hyperspectral Image Super-resolution. Wenqian Dong, Yang Xu, Jiahui Qu, Shaoxiong Hou |
| 2024 | Learning Multi-Object Positional Relationships via Emergent Communication. Yicheng Feng, Boshi An, Zongqing Lu |
| 2024 | Learning Multi-Scale Video-Text Correspondence for Weakly Supervised Temporal Article Gronding. Wenjia Geng, Yong Liu, Lei Chen, Sujia Wang, Jie Zhou, Yansong Tang |
| 2024 | Learning Multi-Task Sparse Representation Based on Fisher Information. Yayu Zhang, Yuhua Qian, Guoshuai Ma, Keyin Zheng, Guoqing Liu, Qingfu Zhang |
| 2024 | Learning Multimodal Volumetric Features for Large-Scale Neuron Tracing. Qihua Chen, Xuejin Chen, Chenxuan Wang, Yixiong Liu, Zhiwei Xiong, Feng Wu |
| 2024 | Learning Neuro-Symbolic Abstractions for Robot Planning and Learning. Naman Shah |
| 2024 | Learning Not to Regret. David Sychrovsky, Michal Sustr, Elnaz Davoodi, Michael Bowling, Marc Lanctot, Martin Schmid |
| 2024 | Learning Only When It Matters: Cost-Aware Long-Tailed Classification. Yu-Cheng He, Yao-Xiang Ding, Han-Jia Ye, Zhi-Hua Zhou |
| 2024 | Learning Optimal Advantage from Preferences and Mistaking It for Reward. W. Bradley Knox, Stephane Hatgis-Kessell, Sigurdur O. Adalgeirsson, Serena Booth, Anca D. Dragan, Peter Stone, Scott Niekum |
| 2024 | Learning Pattern-Based Extractors from Natural Language and Knowledge Graphs: Applying Large Language Models to Wikipedia and Linked Open Data. Célian Ringwald |
| 2024 | Learning Performance Maximizing Ensembles with Explainability Guarantees. Vincent Pisztora, Jia Li |
| 2024 | Learning Persistent Community Structures in Dynamic Networks via Topological Data Analysis. Dexu Kong, Anping Zhang, Yang Li |
| 2024 | Learning Planning Domains from Non-redundant Fully-Observed Traces: Theoretical Foundations and Complexity Analysis. Pascal Bachor, Gregor Behnke |
| 2024 | Learning Random Noise Salient Feature Fusion Siamese Network for Low-Resolution Object Tracking (Student Abstract). Md. Maklachur Rahman, Tracy Hammond |
| 2024 | Learning Real-World Image De-weathering with Imperfect Supervision. Xiaohui Liu, Zhilu Zhang, Xiaohe Wu, Chaoyu Feng, Xiaotao Wang, Lei Lei, Wangmeng Zuo |
| 2024 | Learning Reduced Fluid Dynamics. Zherong Pan, Xifeng Gao, Kui Wu |
| 2024 | Learning Representations for Robust Human-Robot Interaction. Yen-Ling Kuo |
| 2024 | Learning Representations on the Unit Sphere: Investigating Angular Gaussian and Von Mises-Fisher Distributions for Online Continual Learning. Nicolas Michel, Giovanni Chierchia, Romain Negrel, Jean-François Bercher |
| 2024 | Learning Robust Rationales for Model Explainability: A Guidance-Based Approach. Shuaibo Hu, Kui Yu |
| 2024 | Learning Safe Action Models with Partial Observability. Hai S. Le, Brendan Juba, Roni Stern |
| 2024 | Learning Small Decision Trees for Data of Low Rank-Width. Konrad K. Dabrowski, Eduard Eiben, Sebastian Ordyniak, Giacomo Paesani, Stefan Szeider |
| 2024 | Learning Small Decision Trees with Few Outliers: A Parameterized Perspective. Harmender Gahlawat, Meirav Zehavi |
| 2024 | Learning Spatially Collaged Fourier Bases for Implicit Neural Representation. Jason Chun Lok Li, Chang Liu, Binxiao Huang, Ngai Wong |
| 2024 | Learning Subject-Aware Cropping by Outpainting Professional Photos. James Hong, Lu Yuan, Michaël Gharbi, Matthew Fisher, Kayvon Fatahalian |
| 2024 | Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection. Hongquan Zhang, Bin-Bin Gao, Yi Zeng, Xudong Tian, Xin Tan, Zhizhong Zhang, Yanyun Qu, Jun Liu, Yuan Xie |
| 2024 | Learning Temporal Resolution in Spectrogram for Audio Classification. Haohe Liu, Xubo Liu, Qiuqiang Kong, Wenwu Wang, Mark D. Plumbley |
| 2024 | Learning Time Slot Preferences via Mobility Tree for Next POI Recommendation. Tianhao Huang, Xuan Pan, Xiangrui Cai, Ying Zhang, Xiaojie Yuan |
| 2024 | Learning Ultrametric Trees for Optimal Transport Regression. Samantha Chen, Puoya Tabaghi, Yusu Wang |
| 2024 | Learning Uncertainty-Aware Temporally-Extended Actions. Joongkyu Lee, Seung Joon Park, Yunhao Tang, Min-hwan Oh |
| 2024 | Learning Visual Abstract Reasoning through Dual-Stream Networks. Kai Zhao, Chang Xu, Bailu Si |
| 2024 | Learning by Erasing: Conditional Entropy Based Transferable Out-of-Distribution Detection. Meng Xing, Zhiyong Feng, Yong Su, Changjae Oh |
| 2024 | Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning. Yantian Zha, Lin Guan, Subbarao Kambhampati |
| 2024 | Learning from Failure: Improving Meeting Summarization without Good Samples. Ke Wang, Xiutian Zhao, Wei Peng |
| 2024 | Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration. Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu |
| 2024 | Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series Forecasting. Yanhong Li, Jack Xu, David C. Anastasiu |
| 2024 | Learning from an Infant's Visual Experience. Deepayan Sanyal |
| 2024 | Learning in Online Principal-Agent Interactions: The Power of Menus. Minbiao Han, Michael Albert, Haifeng Xu |
| 2024 | Learning the Causal Structure of Networked Dynamical Systems under Latent Nodes and Structured Noise. Augusto Santos, Diogo Rente, Rui Seabra, José M. F. Moura |
| 2024 | Learning the Topology and Behavior of Discrete Dynamical Systems. Zirou Qiu, Abhijin Adiga, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti |
| 2024 | Learning to Approximate Adaptive Kernel Convolution on Graphs. Jaeyoon Sim, Sooyeon Jeon, Injun Choi, Guorong Wu, Won Hwa Kim |
| 2024 | Learning to Build Solutions in Stochastic Matching Problems Using Flows (Student Abstract). William St-Arnaud, Margarida Carvalho, Golnoosh Farnadi |
| 2024 | Learning to Learn Better Visual Prompts. Fengxiang Wang, Wanrong Huang, Shaowu Yang, Qi Fan, Long Lan |
| 2024 | Learning to Learn in Interactive Constraint Acquisition. Dimosthenis C. Tsouros, Senne Berden, Tias Guns |
| 2024 | Learning to Manipulate Artistic Images. Wei Guo, Yuqi Zhang, De Ma, Qian Zheng |
| 2024 | Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning. Longkang Li, Siyuan Liang, Zihao Zhu, Chris Ding, Hongyuan Zha, Baoyuan Wu |
| 2024 | Learning to Pivot as a Smart Expert. Tianhao Liu, Shanwen Pu, Dongdong Ge, Yinyu Ye |
| 2024 | Learning to Prompt Knowledge Transfer for Open-World Continual Learning. Yujie Li, Xin Yang, Hao Wang, Xiangkun Wang, Tianrui Li |
| 2024 | Learning to Rank in Generative Retrieval. Yongqi Li, Nan Yang, Liang Wang, Furu Wei, Wenjie Li |
| 2024 | Learning to Reweight for Generalizable Graph Neural Network. Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu |
| 2024 | Learning to Stop Cut Generation for Efficient Mixed-Integer Linear Programming. Haotian Ling, Zhihai Wang, Jie Wang |
| 2024 | Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers. Sungmin Cha, Sungjun Cho, Dasol Hwang, Honglak Lee, Taesup Moon, Moontae Lee |
| 2024 | Learning with Noisy Labels Using Hyperspherical Margin Weighting. Shuo Zhang, Yuwen Li, Zhongyu Wang, Jianqing Li, Chengyu Liu |
| 2024 | Learning-Augmented Online Algorithm for Two-Level Ski-Rental Problem. Keyuan Zhang, Zhongdong Liu, Nakjung Choi, Bo Ji |
| 2024 | Leaving the Nest: Going beyond Local Loss Functions for Predict-Then-Optimize. Sanket Shah, Bryan Wilder, Andrew Perrault, Milind Tambe |
| 2024 | Less Is More: Label Recommendation for Weakly Supervised Point Cloud Semantic Segmentation. Zhiyi Pan, Nan Zhang, Wei Gao, Shan Liu, Ge Li |
| 2024 | Let All Be Whitened: Multi-Teacher Distillation for Efficient Visual Retrieval. Zhe Ma, Jianfeng Dong, Shouling Ji, Zhenguang Liu, Xuhong Zhang, Zonghui Wang, Sifeng He, Feng Qian, Xiaobo Zhang, Lei Yang |
| 2024 | Let There Be Sound: Reconstructing High Quality Speech from Silent Videos. Ji-Hoon Kim, Jaehun Kim, Joon Son Chung |
| 2024 | Levenshtein Distance Embedding with Poisson Regression for DNA Storage. Xiang Wei, Alan J. X. Guo, Sihan Sun, Mengyi Wei, Wei Yu |
| 2024 | Leverage the Explainability of Transformer Models to Improve the DNA 5-Methylcytosine Identification (Student Abstract). Wenhuan Zeng, Daniel H. Huson |
| 2024 | Leveraging Diffusion Perturbations for Measuring Fairness in Computer Vision. Nicholas Lui, Bryan Chia, William Berrios, Candace Ross, Douwe Kiela |
| 2024 | Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-supervised 3D Object Detection. Hongzhi Gao, Zheng Chen, Zehui Chen, Lin Chen, Jiaming Liu, Shanghang Zhang, Feng Zhao |
| 2024 | Leveraging Local Variance for Pseudo-Label Selection in Semi-supervised Learning. Zeping Min, Jinfeng Bai, Chengfei Li |
| 2024 | Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning. Yongjin Yang, Taehyeon Kim, Se-Young Yun |
| 2024 | Leveraging Opposite Gender Interaction Ratio as a Path towards Fairness in Online Dating Recommendations Based on User Sexual Orientation. Yuying Zhao, Yu Wang, Yi Zhang, Pamela J. Wisniewski, Charu C. Aggarwal, Tyler Derr |
| 2024 | Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning. Xin Yu, Rongye Shi, Pu Feng, Yongkai Tian, Simin Li, Shuhao Liao, Wenjun Wu |
| 2024 | Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing. Han Liu, Siyang Zhao, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang |
| 2024 | Lifting by Image - Leveraging Image Cues for Accurate 3D Human Pose Estimation. Feng Zhou, Jianqin Yin, Peiyang Li |
| 2024 | LimeAttack: Local Explainable Method for Textual Hard-Label Adversarial Attack. Hai Zhu, Qingyang Zhao, Weiwei Shang, Yuren Wu, Kai Liu |
| 2024 | Limitations of Face Image Generation. Harrison Rosenberg, Shimaa Ahmed, Guruprasad V. Ramesh, Kassem Fawaz, Ramya Korlakai Vinayak |
| 2024 | Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging. Hilal AlQuabeh, William de Vazelhes, Bin Gu |
| 2024 | Limited Query Graph Connectivity Test. Mingyu Guo, Jialiang Li, Aneta Neumann, Frank Neumann, Hung X. Nguyen |
| 2024 | Limited-Supervised Multi-Label Learning with Dependency Noise. Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Wen Shan, Xingwei Wang |
| 2024 | Linear-Time Algorithms for Front-Door Adjustment in Causal Graphs. Marcel Wienöbst, Benito van der Zander, Maciej Liskiewicz |
| 2024 | Linear-Time Verification of Data-Aware Processes Modulo Theories via Covers and Automata. Alessandro Gianola, Marco Montali, Sarah Winkler |
| 2024 | Link Prediction in Multilayer Networks via Cross-Network Embedding. Guojing Ren, Xiao Ding, Xiao-Ke Xu, Hai-Feng Zhang |
| 2024 | Live and Learn: Continual Action Clustering with Incremental Views. Xiaoqiang Yan, Yingtao Gan, Yiqiao Mao, Yangdong Ye, Hui Yu |
| 2024 | Local Consistency Guidance: Personalized Stylization Method of Face Video (Student Abstract). Wancheng Feng, Yingchao Liu, Jiaming Pei, Wenxuan Liu, Chunpeng Tian, Lukun Wang |
| 2024 | Local-Global Multi-Modal Distillation for Weakly-Supervised Temporal Video Grounding. Peijun Bao, Yong Xia, Wenhan Yang, Boon Poh Ng, Meng Hwa Er, Alex C. Kot |
| 2024 | Locality Preserving Refinement for Shape Matching with Functional Maps. Yifan Xia, Yifan Lu, Yuan Gao, Jiayi Ma |
| 2024 | Locally Rainbow Paths. Till Fluschnik, Leon Kellerhals, Malte Renken |
| 2024 | LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection. Hongcheng Guo, Jian Yang, Jiaheng Liu, Jiaqi Bai, Boyang Wang, Zhoujun Li, Tieqiao Zheng, Bo Zhang, Junran Peng, Qi Tian |
| 2024 | LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer. Yuxin Cao, Ziyu Zhao, Xi Xiao, Derui Wang, Minhui Xue, Jin Lu |
| 2024 | Long-Tailed Learning as Multi-Objective Optimization. Weiqi Li, Fan Lyu, Fanhua Shang, Liang Wan, Wei Feng |
| 2024 | Long-Tailed Partial Label Learning by Head Classifier and Tail Classifier Cooperation. Yuheng Jia, Xiaorui Peng, Ran Wang, Min-Ling Zhang |
| 2024 | Long-Term Fair Decision Making through Deep Generative Models. Yaowei Hu, Yongkai Wu, Lu Zhang |
| 2024 | Long-Term Safe Reinforcement Learning with Binary Feedback. Akifumi Wachi, Wataru Hashimoto, Kazumune Hashimoto |
| 2024 | Lost Domain Generalization Is a Natural Consequence of Lack of Training Domains. Yimu Wang, Yihan Wu, Hongyang Zhang |
| 2024 | Low Category Uncertainty and High Training Potential Instance Learning for Unsupervised Domain Adaptation. Xinyu Zhang, Meng Kang, Shuai Lü |
| 2024 | Low-Distortion Clustering with Ordinal and Limited Cardinal Information. Jakob Burkhardt, Ioannis Caragiannis, Karl Fehrs, Matteo Russo, Chris Schwiegelshohn, Sudarshan Shyam |
| 2024 | Low-Latency Space-Time Supersampling for Real-Time Rendering. Ruian He, Shili Zhou, Yuqi Sun, Ri Cheng, Weimin Tan, Bo Yan |
| 2024 | Low-Light Face Super-resolution via Illumination, Structure, and Texture Associated Representation. Chenyang Wang, Junjun Jiang, Kui Jiang, Xianming Liu |
| 2024 | Low-Rank Kernel Tensor Learning for Incomplete Multi-View Clustering. Tingting Wu, Songhe Feng, Jiazheng Yuan |
| 2024 | Lyapunov-Stable Deep Equilibrium Models. Haoyu Chu, Shikui Wei, Ting Liu, Yao Zhao, Yuto Miyatake |
| 2024 | M-BEV: Masked BEV Perception for Robust Autonomous Driving. Siran Chen, Yue Ma, Yu Qiao, Yali Wang |
| 2024 | M2Doc: A Multi-Modal Fusion Approach for Document Layout Analysis. Ning Zhang, Hiuyi Cheng, Jiayu Chen, Zongyuan Jiang, Jun Huang, Yang Xue, Lianwen Jin |
| 2024 | M2SD: Multiple Mixing Self-Distillation for Few-Shot Class-Incremental Learning. Jinhao Lin, Ziheng Wu, Weifeng Lin, Jun Huang, Ronghua Luo |
| 2024 | M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy. Hansong Zhang, Shikun Li, Pengju Wang, Dan Zeng, Shiming Ge |
| 2024 | M3SOT: Multi-Frame, Multi-Field, Multi-Space 3D Single Object Tracking. Jiaming Liu, Yue Wu, Maoguo Gong, Qiguang Miao, Wenping Ma, Cai Xu, Can Qin |
| 2024 | MA-Net: Rethinking Neural Unit in the Light of Astrocytes. Mengqiao Han, Liyuan Pan, Xiabi Liu |
| 2024 | MANDREL: Modular Reinforcement Learning Pipelines for Material Discovery. Clyde Fare, George K. Holt, Lamogha Chiazor, Michail Smyrnakis, Robert Tracey, Lan Hoang |
| 2024 | MAPTree: Beating "Optimal" Decision Trees with Bayesian Decision Trees. Colin Sullivan, Mo Tiwari, Sebastian Thrun |
| 2024 | MASTER: Market-Guided Stock Transformer for Stock Price Forecasting. Tong Li, Zhaoyang Liu, Yanyan Shen, Xue Wang, Haokun Chen, Sen Huang |
| 2024 | MCA: Moment Channel Attention Networks. Yangbo Jiang, Zhiwei Jiang, Le Han, Zenan Huang, Nenggan Zheng |
| 2024 | MCL-NER: Cross-Lingual Named Entity Recognition via Multi-View Contrastive Learning. Ying Mo, Jian Yang, Jiahao Liu, Qifan Wang, Ruoyu Chen, Jingang Wang, Zhoujun Li |
| 2024 | MCSSME: Multi-Task Contrastive Learning for Semi-supervised Singing Melody Extraction from Polyphonic Music. Shuai Yu |
| 2024 | MDFL: Multi-Domain Diffusion-Driven Feature Learning. Daixun Li, Weiying Xie, Jiaqing Zhang, Yunsong Li |
| 2024 | MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction. Hao Qian, Hongting Zhou, Qian Zhao, Hao Chen, Hongxiang Yao, Jingwei Wang, Ziqi Liu, Fei Yu, Zhiqiang Zhang, Jun Zhou |
| 2024 | MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA. Lang Yu, Qin Chen, Jie Zhou, Liang He |
| 2024 | MEPSI: An MDL-Based Ensemble Pruning Approach with Structural Information. Xiao-Dong Bi, Shao-Qun Zhang, Yuan Jiang |
| 2024 | MERGE: Fast Private Text Generation. Zi Liang, Pinghui Wang, Ruofei Zhang, Nuo Xu, Shuo Zhang, Lifeng Xing, Haitao Bai, Ziyang Zhou |
| 2024 | MESED: A Multi-Modal Entity Set Expansion Dataset with Fine-Grained Semantic Classes and Hard Negative Entities. Yangning Li, Tingwei Lu, Hai-Tao Zheng, Yinghui Li, Shulin Huang, Tianyu Yu, Jun Yuan, Rui Zhang |
| 2024 | MFABA: A More Faithful and Accelerated Boundary-Based Attribution Method for Deep Neural Networks. Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Minhui Xue, Dongxiao Zhu, Kim-Kwang Raymond Choo |
| 2024 | MFOS: Model-Free & One-Shot Object Pose Estimation. Jongmin Lee, Yohann Cabon, Romain Brégier, Sungjoo Yoo, Jérôme Revaud |
| 2024 | MFTN: Multi-Level Feature Transfer Network Based on MRI-Transformer for MR Image Super-resolution. Shuying Huang, Ge Chen, Yong Yang, Xiaozheng Wang, Chenbin Liang |
| 2024 | MGNet: Learning Correspondences via Multiple Graphs. Luanyuan Dai, Xiaoyu Du, Hanwang Zhang, Jinhui Tang |
| 2024 | MGQFormer: Mask-Guided Query-Based Transformer for Image Manipulation Localization. Kunlun Zeng, Ri Cheng, Weimin Tan, Bo Yan |
| 2024 | MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment. Yequan Bie, Luyang Luo, Hao Chen |
| 2024 | MID-FiLD: MIDI Dataset for Fine-Level Dynamics. Jesung Ryu, Seungyeon Rhyu, Hong-Gyu Yoon, Eunchong Kim, Ju Young Yang, Taehyun Kim |
| 2024 | MIDDAG: Where Does Our News Go? Investigating Information Diffusion via Community-Level Information Pathways. Mingyu Derek Ma, Alexander K. Taylor, Nuan Wen, Yanchen Liu, Po-Nien Kung, Wenna Qin, Shicheng Wen, Azure Zhou, Diyi Yang, Xuezhe Ma, Nanyun Peng, Wei Wang |
| 2024 | MIND: Multi-Task Incremental Network Distillation. Jacopo Bonato, Francesco Pelosin, Luigi Sabetta, Alessandro Nicolosi |
| 2024 | MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs. Ke Liang, Lingyuan Meng, Sihang Zhou, Wenxuan Tu, Siwei Wang, Yue Liu, Meng Liu, Long Zhao, Xiangjun Dong, Xinwang Liu |
| 2024 | MKG-FENN: A Multimodal Knowledge Graph Fused End-to-End Neural Network for Accurate Drug-Drug Interaction Prediction. Di Wu, Wu Sun, Yi He, Zhong Chen, Xin Luo |
| 2024 | MLNet: Mutual Learning Network with Neighborhood Invariance for Universal Domain Adaptation. Yanzuo Lu, Meng Shen, Andy J. Ma, Xiaohua Xie, Jian-Huang Lai |
| 2024 | MM-Point: Multi-View Information-Enhanced Multi-Modal Self-Supervised 3D Point Cloud Understanding. Hai-Tao Yu, Mofei Song |
| 2024 | MM-TTS: Multi-Modal Prompt Based Style Transfer for Expressive Text-to-Speech Synthesis. Wenhao Guan, Yishuang Li, Tao Li, Hukai Huang, Feng Wang, Jiayan Lin, Lingyan Huang, Lin Li, Qingyang Hong |
| 2024 | MRMLREC: A Two-Stage Approach for Addressing Data Sparsity in MOOC Video Recommendation (Student Abstract). Ye Zhang, Yanqi Gao, Yupeng Zhou, Jianan Wang, Minghao Yin |
| 2024 | MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting. Wanlin Cai, Yuxuan Liang, Xianggen Liu, Jianshuai Feng, Yuankai Wu |
| 2024 | MULTISCRIPT: Multimodal Script Learning for Supporting Open Domain Everyday Tasks. Jingyuan Qi, Minqian Liu, Ying Shen, Zhiyang Xu, Lifu Huang |
| 2024 | MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous Driving. Guangfeng Jiang, Jun Liu, Yuzhi Wu, Wenlong Liao, Tao He, Pai Peng |
| 2024 | Machine Learning-Powered Combinatorial Clock Auction. Ermis Nikiforos Soumalias, Jakob Weissteiner, Jakob Heiss, Sven Seuken |
| 2024 | Machine-Created Universal Language for Cross-Lingual Transfer. Yaobo Liang, Quanzhi Zhu, Junhe Zhao, Nan Duan |
| 2024 | MagiCapture: High-Resolution Multi-Concept Portrait Customization. Junha Hyung, Jaeyo Shin, Jaegul Choo |
| 2024 | Make Lossy Compression Meaningful for Low-Light Images. Shilv Cai, Liqun Chen, Sheng Zhong, Luxin Yan, Jiahuan Zhou, Xu Zou |
| 2024 | Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior. Youngjae Cho, HeeSun Bae, Seungjae Shin, Yeo Dong Youn, Weonyoung Joo, Il-Chul Moon |
| 2024 | Make RepVGG Greater Again: A Quantization-Aware Approach. Xiangxiang Chu, Liang Li, Bo Zhang |
| 2024 | Making AI Policies Transparent to Humans through Demonstrations. Michael S. Lee |
| 2024 | Making Natural Language Reasoning Explainable and Faithful. Xinya Du |
| 2024 | Manifold Constraints for Imperceptible Adversarial Attacks on Point Clouds. Keke Tang, Xu He, Weilong Peng, Jianpeng Wu, Yawen Shi, Daizong Liu, Pan Zhou, Wenping Wang, Zhihong Tian |
| 2024 | Manifold-Based Verbalizer Space Re-embedding for Tuning-Free Prompt-Based Classification. Haochun Wang, Sendong Zhao, Chi Liu, Nuwa Xi, Muzhen Cai, Bing Qin, Ting Liu |
| 2024 | Manipulation-Robust Selection of Citizens' Assemblies. Bailey Flanigan, Jennifer Liang, Ariel D. Procaccia, Sven Wang |
| 2024 | MapLE: Matching Molecular Analogues Promptly with Low Computational Resources by Multi-Metrics Evaluation (Student Abstract). Xiaojian Chen, Chuyue Liao, Yanhui Gu, Yafei Li, Jinlan Wang, Yi Chen, Masaru Kitsuregawa |
| 2024 | Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context. Haochong Xia, Shuo Sun, Xinrun Wang, Bo An |
| 2024 | Mask-Homo: Pseudo Plane Mask-Guided Unsupervised Multi-Homography Estimation. Yasi Wang, Hong Liu, Chao Zhang, Lu Xu, Qiang Wang |
| 2024 | MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation. Minh-Quan Le, Tam V. Nguyen, Trung-Nghia Le, Thanh-Toan Do, Minh N. Do, Minh-Triet Tran |
| 2024 | Mastering Context-to-Label Representation Transformation for Event Causality Identification with Diffusion Models. Hieu Man, Franck Dernoncourt, Thien Huu Nguyen |
| 2024 | MatchDet: A Collaborative Framework for Image Matching and Object Detection. Jinxiang Lai, Wenlong Wu, Bin-Bin Gao, Jun Liu, Jiawei Zhan, Congchong Nie, Yi Zeng, Chengjie Wang |
| 2024 | MathAttack: Attacking Large Language Models towards Math Solving Ability. Zihao Zhou, Qiufeng Wang, Mingyu Jin, Jie Yao, Jianan Ye, Wei Liu, Wei Wang, Xiaowei Huang, Kaizhu Huang |
| 2024 | MaxEnt Loss: Calibrating Graph Neural Networks under Out-of-Distribution Shift (Student Abstract). Dexter Neo |
| 2024 | MaxEnt Loss: Constrained Maximum Entropy for Calibration under Out-of-Distribution Shift. Dexter Neo, Stefan Winkler, Tsuhan Chen |
| 2024 | Maxileximin Envy Allocations and Connected Goods. Gianluigi Greco, Francesco Scarcello |
| 2024 | Maximizing Nash Social Welfare under Two-Sided Preferences. Pallavi Jain, Rohit Vaish |
| 2024 | Maximizing the Success Probability of Policy Allocations in Online Systems. Artem Betlei, Mariia Vladimirova, Mehdi Sebbar, Nicolas Urien, Thibaud Rahier, Benjamin Heymann |
| 2024 | MeDM: Mediating Image Diffusion Models for Video-to-Video Translation with Temporal Correspondence Guidance. Ernie Chu, Tzuhsuan Huang, Shuo-Yen Lin, Jun-Cheng Chen |
| 2024 | Mean Teacher DETR with Masked Feature Alignment: A Robust Domain Adaptive Detection Transformer Framework. Weixi Weng, Chun Yuan |
| 2024 | Measuring Self-Supervised Representation Quality for Downstream Classification Using Discriminative Features. Neha Mukund Kalibhat, Kanika Narang, Hamed Firooz, Maziar Sanjabi, Soheil Feizi |
| 2024 | Measuring Task Similarity and Its Implication in Fine-Tuning Graph Neural Networks. Renhong Huang, Jiarong Xu, Xin Jiang, Chenglu Pan, Zhiming Yang, Chunping Wang, Yang Yang |
| 2024 | MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records. Scott L. Fleming, Alejandro Lozano, William J. Haberkorn, Jenelle A. Jindal, Eduardo Pontes Reis, Rahul Thapa, Louis Blankemeier, Julian Z. Genkins, Ethan Steinberg, Ashwin Nayak, Birju S. Patel, Chia-Chun Chiang, Alison Callahan, Zepeng Huo, Sergios Gatidis, Scott J. Adams, Oluseyi Fayanju, Shreya J. Shah, Thomas Savage, Ethan Goh, Akshay S. Chaudhari, Nima Aghaeepour, Christopher D. Sharp, Michael A. Pfeffer, Percy Liang, Jonathan H. Chen, Keith E. Morse, Emma P. Brunskill, Jason A. Fries, Nigam H. Shah |
| 2024 | MedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models. Yan Cai, Linlin Wang, Ye Wang, Gerard de Melo, Ya Zhang, Yanfeng Wang, Liang He |
| 2024 | MedSegDiff-V2: Diffusion-Based Medical Image Segmentation with Transformer. Junde Wu, Wei Ji, Huazhu Fu, Min Xu, Yueming Jin, Yanwu Xu |
| 2024 | Memory Asymmetry Creates Heteroclinic Orbits to Nash Equilibrium in Learning in Zero-Sum Games. Yuma Fujimoto, Kaito Ariu, Kenshi Abe |
| 2024 | Memory-Augmenting Decoder-Only Language Models through Encoders (Student Abstract). Alessio Galatolo, Katie Winkle |
| 2024 | Memory-Efficient Prompt Tuning for Incremental Histopathology Classification. Yu Zhu, Kang Li, Lequan Yu, Pheng-Ann Heng |
| 2024 | Memory-Efficient Reversible Spiking Neural Networks. Hong Zhang, Yu Zhang |
| 2024 | MemoryBank: Enhancing Large Language Models with Long-Term Memory. Wanjun Zhong, Lianghong Guo, Qiqi Gao, He Ye, Yanlin Wang |
| 2024 | Merging AI Incidents Research with Political Misinformation Research: Introducing the Political Deepfakes Incidents Database. Christina P. Walker, Daniel S. Schiff, Kaylyn Jackson Schiff |
| 2024 | Meta-Crafting: Improved Detection of Out-of-Distributed Texts via Crafting Metadata Space (Student Abstract). Ryan Koo, Yekyung Kim, Dongyeop Kang, Jaehyung Kim |
| 2024 | Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables. Yang Chen, Xiao Lin, Bo Yan, Libo Zhang, Jiamou Liu, Neset Özkan Tan, Michael Witbrock |
| 2024 | Meta-Learning-Based Adaptive Stability Certificates for Dynamical Systems. Amit Jena, Dileep Kalathil, Le Xie |
| 2024 | Meta-Reinforcement Learning via Exploratory Task Clustering. Zhendong Chu, Renqin Cai, Hongning Wang |
| 2024 | MetaCARD: Meta-Reinforcement Learning with Task Uncertainty Feedback via Decoupled Context-Aware Reward and Dynamics Components. Min Wang, Xin Li, Leiji Zhang, Mingzhong Wang |
| 2024 | MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning. Baoquan Zhang, Chuyao Luo, Demin Yu, Xutao Li, Huiwei Lin, Yunming Ye, Bowen Zhang |
| 2024 | MetaMix: Meta-State Precision Searcher for Mixed-Precision Activation Quantization. Han-Byul Kim, Joo Hyung Lee, Sungjoo Yoo, Hong-Seok Kim |
| 2024 | MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity. Zuozhen Zhang, Junzhong Ji, Jinduo Liu |
| 2024 | Mimic: Speaking Style Disentanglement for Speech-Driven 3D Facial Animation. Hui Fu, Zeqing Wang, Ke Gong, Keze Wang, Tianshui Chen, Haojie Li, Haifeng Zeng, Wenxiong Kang |
| 2024 | Mimicking Behaviors in Separated Domains (Abstract Reprint). Giuseppe De Giacomo, Dror Fried, Fabio Patrizi, Shufang Zhu |
| 2024 | Mimicking the Maestro: Exploring the Efficacy of a Virtual AI Teacher in Fine Motor Skill Acquisition. Hadar Mulian, Segev Shlomov, Lior Limonad, Alessia Noccaro, Silvia Buscaglione |
| 2024 | MindMap: Constructing Evidence Chains for Multi-Step Reasoning in Large Language Models. Yangyu Wu, Xu Han, Wei Song, MiaoMiao Cheng, Fei Li |
| 2024 | MineObserver 2.0: A Deep Learning & In-Game Framework for Assessing Natural Language Descriptions of Minecraft Imagery. Jay Mahajan, Samuel Hum, Jack Henhapl, Diya Yunus, Matthew Gadbury, Emi Brown, Jeffrey Ginger, H. Chad Lane |
| 2024 | Minibatch Stochastic Three Points Method for Unconstrained Smooth Minimization. Soumia Boucherouite, Grigory Malinovsky, Peter Richtárik, El Houcine Bergou |
| 2024 | Minimal Macro-Based Rewritings of Formal Languages: Theory and Applications in Ontology Engineering (and Beyond). Christian Kindermann, Anne-Marie George, Bijan Parsia, Uli Sattler |
| 2024 | Minimum Coverage Sets for Training Robust Ad Hoc Teamwork Agents. Muhammad Rahman, Jiaxun Cui, Peter Stone |
| 2024 | Mining Fine-Grained Image-Text Alignment for Zero-Shot Captioning via Text-Only Training. Longtian Qiu, Shan Ning, Xuming He |
| 2024 | Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis. Zihao Zhao, Sheng Wang, Qian Wang, Dinggang Shen |
| 2024 | Mitigating Idiom Inconsistency: A Multi-Semantic Contrastive Learning Method for Chinese Idiom Reading Comprehension. Mingmin Wu, Yuxue Hu, Yongcheng Zhang, Zhi Zeng, Guixin Su, Ying Sha |
| 2024 | Mitigating Label Bias in Machine Learning: Fairness through Confident Learning. Yixuan Zhang, Boyu Li, Zenan Ling, Feng Zhou |
| 2024 | Mitigating Label Noise through Data Ambiguation. Julian Lienen, Eyke Hüllermeier |
| 2024 | Mitigating Large Language Model Hallucinations via Autonomous Knowledge Graph-Based Retrofitting. Xinyan Guan, Yanjiang Liu, Hongyu Lin, Yaojie Lu, Ben He, Xianpei Han, Le Sun |
| 2024 | Mitigating the Impact of False Negative in Dense Retrieval with Contrastive Confidence Regularization. Shiqi Wang, Yeqin Zhang, Cam-Tu Nguyen |
| 2024 | Mixed Fair Division: A Survey. Shengxin Liu, Xinhang Lu, Mashbat Suzuki, Toby Walsh |
| 2024 | Mixed Geometry Message and Trainable Convolutional Attention Network for Knowledge Graph Completion. Bin Shang, Yinliang Zhao, Jun Liu, Di Wang |
| 2024 | Mixed-Effects Contextual Bandits. Kyungbok Lee, Myunghee Cho Paik, Min-hwan Oh, Gi-Soo Kim |
| 2024 | Mixup-Induced Domain Extrapolation for Domain Generalization. Meng Cao, Songcan Chen |
| 2024 | MmAP: Multi-Modal Alignment Prompt for Cross-Domain Multi-Task Learning. Yi Xin, Junlong Du, Qiang Wang, Ke Yan, Shouhong Ding |
| 2024 | MoDE: A Mixture-of-Experts Model with Mutual Distillation among the Experts. Zhitian Xie, Yinger Zhang, Chenyi Zhuang, Qitao Shi, Zhining Liu, Jinjie Gu, Guannan Zhang |
| 2024 | MobileInst: Video Instance Segmentation on the Mobile. Renhong Zhang, Tianheng Cheng, Shusheng Yang, Haoyi Jiang, Shuai Zhang, Jiancheng Lyu, Xin Li, Xiaowen Ying, Dashan Gao, Wenyu Liu, Xinggang Wang |
| 2024 | ModWaveMLP: MLP-Based Mode Decomposition and Wavelet Denoising Model to Defeat Complex Structures in Traffic Forecasting. Ke Sun, Pei Liu, Pengfei Li, Zhifang Liao |
| 2024 | Model AI Assignments 2024. Todd W. Neller, Pia Bideau, David Bierbach, Wolfgang Hönig, Nir Lipovetzky, Christian Muise, Lino Coria, Claire Wong, Stephanie Rosenthal, Yu Lu, Ming Gao, Jingjing Zhang |
| 2024 | Model Counting and Sampling via Semiring Extensions. Andreas Goral, Joachim Giesen, Mark Blacher, Christoph Staudt, Julien Klaus |
| 2024 | Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning. Pin-Yu Chen |
| 2024 | Model-Driven Deep Neural Network for Enhanced AoA Estimation Using 5G gNB. Shengheng Liu, Xingkang Li, Zihuan Mao, Peng Liu, Yongming Huang |
| 2024 | Modeling Adaptive Inter-Task Feature Interactions via Sentiment-Aware Contrastive Learning for Joint Aspect-Sentiment Prediction. Wei Chen, Yuxuan Liu, Zhao Zhang, Fuzhen Zhuang, Jiang Zhong |
| 2024 | Modeling Continuous Motion for 3D Point Cloud Object Tracking. Zhipeng Luo, Gongjie Zhang, Changqing Zhou, Zhonghua Wu, Qingyi Tao, Lewei Lu, Shijian Lu |
| 2024 | Modeling Knowledge Graphs with Composite Reasoning. Wanyun Cui, Linqiu Zhang |
| 2024 | Modeling Stereo-Confidence out of the End-to-End Stereo-Matching Network via Disparity Plane Sweep. Jae Young Lee, Woonghyun Ka, Jaehyun Choi, Junmo Kim |
| 2024 | Moderate Message Passing Improves Calibration: A Universal Way to Mitigate Confidence Bias in Graph Neural Networks. Min Wang, Hao Yang, Jincai Huang, Qing Cheng |
| 2024 | MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts. Haoqiang Guo, Sendong Zhao, Haochun Wang, Yanrui Du, Bing Qin |
| 2024 | Molecular Optimization Model with Patentability Constraint. Sally Turutov, Kira Radinsky |
| 2024 | Monitoring of Perception Systems: Deterministic, Probabilistic, and Learning-Based Fault Detection and Identification (Abstract Reprint). Pasquale Antonante, Heath Nilsen, Luca Carlone |
| 2024 | Mono3DVG: 3D Visual Grounding in Monocular Images. Yang Zhan, Yuan Yuan, Zhitong Xiong |
| 2024 | Monocular 3D Hand Mesh Recovery via Dual Noise Estimation. Hanhui Li, Xiaojian Lin, Xuan Huang, Zejun Yang, Zhisheng Wang, Xiaodan Liang |
| 2024 | Monte Carlo Tree Search in the Presence of Transition Uncertainty. Farnaz Kohankhaki, Kiarash Aghakasiri, Hongming Zhang, Ting-Han Wei, Chao Gao, Martin Müller |
| 2024 | Moral Uncertainty and the Problem of Fanaticism. Jazon Szabo, Natalia Criado, Jose Such, Sanjay Modgil |
| 2024 | MorphVAE: Advancing Morphological Design of Voxel-Based Soft Robots with Variational Autoencoders. Junru Song, Yang Yang, Wei Peng, Weien Zhou, Feifei Wang, Wen Yao |
| 2024 | Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning. Li Sun, Zhenhao Huang, Zixi Wang, Feiyang Wang, Hao Peng, Philip S. Yu |
| 2024 | Motion Deblurring via Spatial-Temporal Collaboration of Frames and Events. Wen Yang, Jinjian Wu, Jupo Ma, Leida Li, Guangming Shi |
| 2024 | MotionGPT: Finetuned LLMs Are General-Purpose Motion Generators. Yaqi Zhang, Di Huang, Bin Liu, Shixiang Tang, Yan Lu, Lu Chen, Lei Bai, Qi Chu, Nenghai Yu, Wanli Ouyang |
| 2024 | MotionMix: Weakly-Supervised Diffusion for Controllable Motion Generation. Nhat M. Hoang, Kehong Gong, Chuan Guo, Michael Bi Mi |
| 2024 | MuLTI: Efficient Video-and-Language Understanding with Text-Guided MultiWay-Sampler and Multiple Choice Modeling. Jiaqi Xu, Bo Liu, Yunkuo Chen, Mengli Cheng, Xing Shi |
| 2024 | MuST: Robust Image Watermarking for Multi-Source Tracing. Guanjie Wang, Zehua Ma, Chang Liu, Xi Yang, Han Fang, Weiming Zhang, Nenghai Yu |
| 2024 | Multi-Architecture Multi-Expert Diffusion Models. Yunsung Lee, Jinyoung Kim, Hyojun Go, Myeongho Jeong, Shinhyeok Oh, Seungtaek Choi |
| 2024 | Multi-Class Support Vector Machine with Maximizing Minimum Margin. Feiping Nie, Zhezheng Hao, Rong Wang |
| 2024 | Multi-Constellation-Inspired Single-Shot Global LiDAR Localization. Tongzhou Zhang, Gang Wang, Yu Chen, Hai Zhang, Jue Hu |
| 2024 | Multi-Cross Sampling and Frequency-Division Reconstruction for Image Compressed Sensing. Heping Song, Jingyao Gong, Hongying Meng, Yuping Lai |
| 2024 | Multi-Dimensional Fair Federated Learning. Cong Su, Guoxian Yu, Jun Wang, Hui Li, Qingzhong Li, Han Yu |
| 2024 | Multi-Domain Deep Learning from a Multi-View Perspective for Cross-Border E-commerce Search. Yiqian Zhang, Yinfu Feng, Wen-Ji Zhou, Yunan Ye, Min Tan, Rong Xiao, Haihong Tang, Jiajun Ding, Jun Yu |
| 2024 | Multi-Domain Incremental Learning for Face Presentation Attack Detection. Keyao Wang, Guosheng Zhang, Haixiao Yue, Ajian Liu, Gang Zhang, Haocheng Feng, Junyu Han, Errui Ding, Jingdong Wang |
| 2024 | Multi-Domain Multi-Scale Diffusion Model for Low-Light Image Enhancement. Kai Shang, Mingwen Shao, Chao Wang, Yuanshuo Cheng, Shuigen Wang |
| 2024 | Multi-Domain Recommendation to Attract Users via Domain Preference Modeling. Hyunjun Ju, SeongKu Kang, Dongha Lee, Junyoung Hwang, Sanghwan Jang, Hwanjo Yu |
| 2024 | Multi-Energy Guided Image Translation with Stochastic Differential Equations for Near-Infrared Facial Expression Recognition. Bingjun Luo, Zewen Wang, Jinpeng Wang, Junjie Zhu, Xibin Zhao, Yue Gao |
| 2024 | Multi-Expert Distillation for Few-Shot Coordination (Student Abstract). Yujian Zhu, Hao Ding, Zongzhang Zhang |
| 2024 | Multi-Granularity Causal Structure Learning. Jiaxuan Liang, Jun Wang, Guoxian Yu, Shuyin Xia, Guoyin Wang |
| 2024 | Multi-Label Supervised Contrastive Learning. Pingyue Zhang, Mengyue Wu |
| 2024 | Multi-Level Cross-Modal Alignment for Image Clustering. Liping Qiu, Qin Zhang, Xiaojun Chen, Shaotian Cai |
| 2024 | Multi-Modal Discussion Transformer: Integrating Text, Images and Graph Transformers to Detect Hate Speech on Social Media. Liam Hebert, Gaurav Sahu, Yuxuan Guo, Nanda Kishore Sreenivas, Lukasz Golab, Robin Cohen |
| 2024 | Multi-Modal Disordered Representation Learning Network for Description-Based Person Search. Fan Yang, Wei Li, Menglong Yang, Binbin Liang, Jianwei Zhang |
| 2024 | Multi-Modal Latent Space Learning for Chain-of-Thought Reasoning in Language Models. Liqi He, Zuchao Li, Xiantao Cai, Ping Wang |
| 2024 | Multi-Modal Prompting for Open-Vocabulary Video Visual Relationship Detection. Shuo Yang, Yongqi Wang, Xiaofeng Ji, Xinxiao Wu |
| 2024 | Multi-Modality Affinity Inference for Weakly Supervised 3D Semantic Segmentation. Xiawei Li, Qingyuan Xu, Jing Zhang, Tianyi Zhang, Qian Yu, Lu Sheng, Dong Xu |
| 2024 | Multi-Objective Bayesian Optimization with Active Preference Learning. Ryota Ozaki, Kazuki Ishikawa, Youhei Kanzaki, Shion Takeno, Ichiro Takeuchi, Masayuki Karasuyama |
| 2024 | Multi-Prompts Learning with Cross-Modal Alignment for Attribute-Based Person Re-identification. Yajing Zhai, Yawen Zeng, Zhiyong Huang, Zheng Qin, Xin Jin, Da Cao |
| 2024 | Multi-Prototype Space Learning for Commonsense-Based Scene Graph Generation. Lianggangxu Chen, Youqi Song, Yiqing Cai, Jiale Lu, Yang Li, Yuan Xie, Changbo Wang, Gaoqi He |
| 2024 | Multi-Region Text-Driven Manipulation of Diffusion Imagery. Yiming Li, Peng Zhou, Jun Sun, Yi Xu |
| 2024 | Multi-Scale Dynamic Graph Learning for Time Series Anomaly Detection (Student Abstract). Yixuan Jin, Yutao Wei, Zhangtao Cheng, Wenxin Tai, Chunjing Xiao, Ting Zhong |
| 2024 | Multi-Scene Generalized Trajectory Global Graph Solver with Composite Nodes for Multiple Object Tracking. Yan Gao, Haojun Xu, Jie Li, Nannan Wang, Xinbo Gao |
| 2024 | Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization. Yikang Wei, Yahong Han |
| 2024 | Multi-Stage Prompting for Next Best Agent Recommendations in Adaptive Workflows. Prerna Agarwal, Harshit Dave, Jayachandu Bandlamudi, Renuka Sindhgatta, Kushal Mukherjee |
| 2024 | Multi-Step Denoising Scheduled Sampling: Towards Alleviating Exposure Bias for Diffusion Models. Zhiyao Ren, Yibing Zhan, Liang Ding, Gaoang Wang, Chaoyue Wang, Zhongyi Fan, Dacheng Tao |
| 2024 | Multi-View Dynamic Reflection Prior for Video Glass Surface Detection. Fang Liu, Yuhao Liu, Jiaying Lin, Ke Xu, Rynson W. H. Lau |
| 2024 | Multi-View People Detection in Large Scenes via Supervised View-Wise Contribution Weighting. Qi Zhang, Yunfei Gong, Daijie Chen, Antoni B. Chan, Hui Huang |
| 2024 | Multi-View Randomized Kernel Classification via Nonconvex Optimization. Xiaojian Ding, Fan Yang |
| 2024 | Multi-world Model in Continual Reinforcement Learning. Kevin Shen |
| 2024 | MultiSum: A Multi-Facet Approach for Extractive Social Summarization Utilizing Semantic and Sociological Relationships. Tanglong Zhao, Ruifang He, Jing Xu, Bo Wang |
| 2024 | Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces. Xiaotian Hao, Jianye Hao, Chenjun Xiao, Kai Li, Dong Li, Yan Zheng |
| 2024 | Multichannel AV-wav2vec2: A Framework for Learning Multichannel Multi-Modal Speech Representation. Qiushi Zhu, Jie Zhang, Yu Gu, Yuchen Hu, Lirong Dai |
| 2024 | Multilevel Attention Network with Semi-supervised Domain Adaptation for Drug-Target Prediction. Zhousan Xie, Shikui Tu, Lei Xu |
| 2024 | Multilingual Medical Language Models: A Path to Improving Lay Health Worker Effectiveness (Student Abstract). Agasthya Gangavarapu |
| 2024 | Multimodal Ensembling for Zero-Shot Image Classification. Javon Hickmon |
| 2024 | Multimodal Event Causality Reasoning with Scene Graph Enhanced Interaction Network. Jintao Liu, Kaiwen Wei, Chenglong Liu |
| 2024 | Multimodal Graph Neural Architecture Search under Distribution Shifts. Jie Cai, Xin Wang, Haoyang Li, Ziwei Zhang, Wenwu Zhu |
| 2024 | Multiobjective Lipschitz Bandits under Lexicographic Ordering. Bo Xue, Ji Cheng, Fei Liu, Yimu Wang, Qingfu Zhang |
| 2024 | Multipartite Entity Resolution: Motivating a K-Tuple Perspective (Student Abstract). Adin Aberbach, Mayank Kejriwal, Ke Shen |
| 2024 | Multiple Hypothesis Dropout: Estimating the Parameters of Multi-Modal Output Distributions. David D. Nguyen, David Liebowitz, Salil S. Kanhere, Surya Nepal |
| 2024 | Multiple-Source Localization from a Single-Snapshot Observation Using Graph Bayesian Optimization. Zonghan Zhang, Zijian Zhang, Zhiqian Chen |
| 2024 | Multiscale Attention Wavelet Neural Operator for Capturing Steep Trajectories in Biochemical Systems. Jiayang Su, Junbo Ma, Songyang Tong, Enze Xu, Minghan Chen |
| 2024 | Multiscale Low-Frequency Memory Network for Improved Feature Extraction in Convolutional Neural Networks. Fuzhi Wu, Jiasong Wu, Youyong Kong, Chunfeng Yang, Guanyu Yang, Huazhong Shu, Guy Carrault, Lotfi Senhadji |
| 2024 | Multitarget Device-Free Localization via Cross-Domain Wi-Fi RSS Training Data and Attentional Prior Fusion. Na Fan, Zeyue Tian, Amartansh Dubey, Samruddhi Deshmukh, Ross D. Murch, Qifeng Chen |
| 2024 | Multivariate Time-Series Imagification with Time Embedding in Constrained Environments (Student Abstract). Seungwoo Kang, Ohyun Jo |
| 2024 | MusER: Musical Element-Based Regularization for Generating Symbolic Music with Emotion. Shulei Ji, Xinyu Yang |
| 2024 | Music Style Transfer with Time-Varying Inversion of Diffusion Models. Sifei Li, Yuxin Zhang, Fan Tang, Chongyang Ma, Weiming Dong, Changsheng Xu |
| 2024 | Mutual-Modality Adversarial Attack with Semantic Perturbation. Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang |
| 2024 | N-gram Unsupervised Compoundation and Feature Injection for Better Symbolic Music Understanding. Jinhao Tian, Zuchao Li, Jiajia Li, Ping Wang |
| 2024 | ND-MRM: Neuronal Diversity Inspired Multisensory Recognition Model. Qixin Wang, Chaoqiong Fan, Tianyuan Jia, Yuyang Han, Xia Wu |
| 2024 | NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation. Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian |
| 2024 | NILUT: Conditional Neural Implicit 3D Lookup Tables for Image Enhancement. Marcos V. Conde, Javier Vazquez-Corral, Michael S. Brown, Radu Timofte |
| 2024 | NN-Steiner: A Mixed Neural-Algorithmic Approach for the Rectilinear Steiner Minimum Tree Problem. Andrew B. Kahng, Robert R. Nerem, Yusu Wang, Chien-Yi Yang |
| 2024 | NaMa: Neighbor-Aware Multi-Modal Adaptive Learning for Prostate Tumor Segmentation on Anisotropic MR Images. Runqi Meng, Xiao Zhang, Shijie Huang, Yuning Gu, Guiqin Liu, Guangyu Wu, Nizhuan Wang, Kaicong Sun, Dinggang Shen |
| 2024 | NaRuto: Automatically Acquiring Planning Models from Narrative Texts. Ruiqi Li, Leyang Cui, Songtuan Lin, Patrik Haslum |
| 2024 | NarrativePlay: An Automated System for Crafting Visual Worlds in Novels for Role-Playing. Runcong Zhao, Wenjia Zhang, Jiazheng Li, Lixing Zhu, Yanran Li, Yulan He, Lin Gui |
| 2024 | Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model. Mingxin Li, Richong Zhang, Zhijie Nie, Yongyi Mao |
| 2024 | Natural Strategic Ability in Stochastic Multi-Agent Systems. Raphaël Berthon, Joost-Pieter Katoen, Munyque Mittelmann, Aniello Murano |
| 2024 | NavGPT: Explicit Reasoning in Vision-and-Language Navigation with Large Language Models. Gengze Zhou, Yicong Hong, Qi Wu |
| 2024 | Navigating Open Set Scenarios for Skeleton-Based Action Recognition. Kunyu Peng, Cheng Yin, Junwei Zheng, Ruiping Liu, David Schneider, Jiaming Zhang, Kailun Yang, M. Saquib Sarfraz, Rainer Stiefelhagen, Alina Roitberg |
| 2024 | Navigating Real-World Partial Label Learning: Unveiling Fine-Grained Images with Attributes. Haoran Jiang, Zhihao Sun, Yingjie Tian |
| 2024 | Navigating Uncertainty in Epidemic Contexts with Reinforcement Learning. Elizabeth Akinyi Ondula |
| 2024 | NeBLa: Neural Beer-Lambert for 3D Reconstruction of Oral Structures from Panoramic Radiographs. Sihwa Park, Seongjun Kim, Doeyoung Kwon, Yohan Jang, In-Seok Song, Seung Jun Baek |
| 2024 | NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields. Junge Zhang, Feihu Zhang, Shaochen Kuang, Li Zhang |
| 2024 | NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning. Linsheng Chen, Guangrun Wang, Liuchun Yuan, Keze Wang, Ken Deng, Philip H. S. Torr |
| 2024 | NeRFail: Neural Radiance Fields-Based Multiview Adversarial Attack. Wenxiang Jiang, Hanwei Zhang, Xi Wang, Zhongwen Guo, Hao Wang |
| 2024 | NeSyFOLD: A Framework for Interpretable Image Classification. Parth Padalkar, Huaduo Wang, Gopal Gupta |
| 2024 | Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with Outliers. Yuhao Yi, Ronghui You, Hong Liu, Changxin Liu, Yuan Wang, Jiancheng Lv |
| 2024 | Nearly Equitable Allocations beyond Additivity and Monotonicity. Siddharth Barman, Umang Bhaskar, Yeshwant Pandit, Soumyajit Pyne |
| 2024 | NegVSR: Augmenting Negatives for Generalized Noise Modeling in Real-world Video Super-Resolution. Yexing Song, Meilin Wang, Zhijing Yang, Xiaoyu Xian, Yukai Shi |
| 2024 | Negative Pre-aware for Noisy Cross-Modal Matching. Xu Zhang, Hao Li, Mang Ye |
| 2024 | Neighborhood-Enhanced 3D Human Pose Estimation with Monocular LiDAR in Long-Range Outdoor Scenes. Jingyi Zhang, Qihong Mao, Guosheng Hu, Siqi Shen, Cheng Wang |
| 2024 | NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning. Bo Xiong, Mojtaba Nayyeri, Linhao Luo, Zihao Wang, Shirui Pan, Steffen Staab |
| 2024 | NeuSurf: On-Surface Priors for Neural Surface Reconstruction from Sparse Input Views. Han Huang, Yulun Wu, Junsheng Zhou, Ge Gao, Ming Gu, Yu-Shen Liu |
| 2024 | Neural Amortized Inference for Nested Multi-Agent Reasoning. Kunal Jha, Tuan Anh Le, Chuanyang Jin, Yen-Ling Kuo, Joshua B. Tenenbaum, Tianmin Shu |
| 2024 | Neural Bookmarks: Information Retrieval with Deep Learning and EEG Data. Glenn Bruns, Michael Haidar |
| 2024 | Neural Causal Abstractions. Kevin Xia, Elias Bareinboim |
| 2024 | Neural Closure Certificates. Alireza Nadali, Vishnu Murali, Ashutosh Trivedi, Majid Zamani |
| 2024 | Neural Embeddings for kNN Search in Biological Sequence. Zhihao Chang, Linzhu Yu, Yanchao Xu, Wentao Hu |
| 2024 | Neural Gaussian Similarity Modeling for Differential Graph Structure Learning. Xiaolong Fan, Maoguo Gong, Yue Wu, Zedong Tang, Jieyi Liu |
| 2024 | Neural Network Approximation for Pessimistic Offline Reinforcement Learning. Di Wu, Yuling Jiao, Li Shen, Haizhao Yang, Xiliang Lu |
| 2024 | Neural Network Approximators for Marginal MAP in Probabilistic Circuits. Shivvrat Arya, Tahrima Rahman, Vibhav Gogate |
| 2024 | Neural Oscillators for Generalization of Physics-Informed Machine Learning. Taniya Kapoor, Abhishek Chandra, Daniel M. Tartakovsky, Hongrui Wang, Alfredo Núñez, Rolf P. B. J. Dollevoet |
| 2024 | Neural Physical Simulation with Multi-Resolution Hash Grid Encoding. Haoxiang Wang, Tao Yu, Tianwei Yang, Hui Qiao, Qionghai Dai |
| 2024 | Neural Reasoning about Agents' Goals, Preferences, and Actions. Matteo Bortoletto, Lei Shi, Andreas Bulling |
| 2024 | Neural Time-Reversed Generalized Riccati Equation. Alessandro Betti, Michele Casoni, Marco Gori, Simone Marullo, Stefano Melacci, Matteo Tiezzi |
| 2024 | Neuro-Symbolic Integration for Reasoning and Learning on Knowledge Graphs. Luisa Werner |
| 2024 | Neuroevolution of a Multi-Generator GAN (Student Abstract). Suraj Kumar Pandey |
| 2024 | Neuromorphic Event Signal-Driven Network for Video De-raining. Chengjie Ge, Xueyang Fu, Peng He, Kunyu Wang, Chengzhi Cao, Zheng-Jun Zha |
| 2024 | New Classes of the Greedy-Applicable Arm Feature Distributions in the Sparse Linear Bandit Problem. Koji Ichikawa, Shinji Ito, Daisuke Hatano, Hanna Sumita, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi |
| 2024 | NightRain: Nighttime Video Deraining via Adaptive-Rain-Removal and Adaptive-Correction. Beibei Lin, Yeying Jin, Wending Yan, Wei Ye, Yuan Yuan, Shunli Zhang, Robby T. Tan |
| 2024 | No Head Left Behind - Multi-Head Alignment Distillation for Transformers. Tianyang Zhao, Kunwar Yashraj Singh, Srikar Appalaraju, Peng Tang, Vijay Mahadevan, R. Manmatha, Ying Nian Wu |
| 2024 | No Internal Regret with Non-convex Loss Functions. Dravyansh Sharma |
| 2024 | No More Shortcuts: Realizing the Potential of Temporal Self-Supervision. Ishan Rajendrakumar Dave, Simon Jenni, Mubarak Shah |
| 2024 | No Prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation. Nimesh Agrawal, Anuj Kumar Sirohi, Sandeep Kumar, Jayadeva |
| 2024 | No Prior Mask: Eliminate Redundant Action for Deep Reinforcement Learning. Dianyu Zhong, Yiqin Yang, Qianchuan Zhao |
| 2024 | NodeMixup: Tackling Under-Reaching for Graph Neural Networks. Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Long Jin |
| 2024 | Noise-Aware Image Captioning with Progressively Exploring Mismatched Words. Zhongtian Fu, Kefei Song, Luping Zhou, Yang Yang |
| 2024 | Noise-Free Optimization in Early Training Steps for Image Super-resolution. Minkyu Lee, Jae-Pil Heo |
| 2024 | Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation. Zhuohang Dang, Minnan Luo, Chengyou Jia, Guang Dai, Xiaojun Chang, Jingdong Wang |
| 2024 | Non-excludable Bilateral Trade between Groups. Yixuan Even Xu, Hanrui Zhang, Vincent Conitzer |
| 2024 | Non-exemplar Domain Incremental Object Detection via Learning Domain Bias. Xiang Song, Yuhang He, Songlin Dong, Yihong Gong |
| 2024 | Non-exemplar Online Class-Incremental Continual Learning via Dual-Prototype Self-Augment and Refinement. Fushuo Huo, Wenchao Xu, Jingcai Guo, Haozhao Wang, Yunfeng Fan |
| 2024 | Non-flat ABA Is an Instance of Bipolar Argumentation. Markus Ulbricht, Nico Potyka, Anna Rapberger, Francesca Toni |
| 2024 | Non-monotone Sequential Submodular Maximization. Shaojie Tang, Jing Yuan |
| 2024 | Non-parametric Representation Learning with Kernels. Pascal Mattia Esser, Maximilian Fleissner, Debarghya Ghoshdastidar |
| 2024 | Non-stationary Projection-Free Online Learning with Dynamic and Adaptive Regret Guarantees. Yibo Wang, Wenhao Yang, Wei Jiang, Shiyin Lu, Bing Wang, Haihong Tang, Yuanyu Wan, Lijun Zhang |
| 2024 | NondBREM: Nondeterministic Offline Reinforcement Learning for Large-Scale Order Dispatching. Hongbo Zhang, Guang Wang, Xu Wang, Zhengyang Zhou, Chen Zhang, Zheng Dong, Yang Wang |
| 2024 | Norm Tweaking: High-Performance Low-Bit Quantization of Large Language Models. Liang Li, Qingyuan Li, Bo Zhang, Xiangxiang Chu |
| 2024 | Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing. Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng |
| 2024 | Novax or Novak? Estimating Social Media Stance towards Celebrity Vaccine Hesitancy (Student Abstract). Madhav Hota, Adel Khorramrouz, Ashiqur R. KhudaBukhsh |
| 2024 | Novel Class Discovery for Representation of Real-World Heritage Data as Neural Radiance Fields (Student Abstract). Shivanand Kundargi, Tejas Anvekar, Ramesh Ashok Tabib, Uma Mudenagudi |
| 2024 | Novel Class Discovery in Chest X-rays via Paired Images and Text. Jiaying Zhou, Yang Liu, Qingchao Chen |
| 2024 | Novelty vs. Potential Heuristics: A Comparison of Hardness Measures for Satisficing Planning. Simon Dold, Malte Helmert |
| 2024 | Nowcasting Temporal Trends Using Indirect Surveys. Ajitesh Srivastava, Juan Marcos Ramirez, Sergio Díaz-Aranda, José Aguilar, Antonio Fernández Anta, Antonio Ortega, Rosa Elvira Lillo |
| 2024 | NuScenes-QA: A Multi-Modal Visual Question Answering Benchmark for Autonomous Driving Scenario. Tianwen Qian, Jingjing Chen, Linhai Zhuo, Yang Jiao, Yu-Gang Jiang |
| 2024 | Null Space Matters: Range-Null Decomposition for Consistent Multi-Contrast MRI Reconstruction. Jiacheng Chen, Jiawei Jiang, Fei Wu, Jianwei Zheng |
| 2024 | OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning. Fan Wu, Rui Zhang, Qi Yi, Yunkai Gao, Jiaming Guo, Shaohui Peng, Siming Lan, Husheng Han, Yansong Pan, Kaizhao Yuan, Pengwei Jin, Ruizhi Chen, Yunji Chen, Ling Li |
| 2024 | ODTrack: Online Dense Temporal Token Learning for Visual Tracking. Yaozong Zheng, Bineng Zhong, Qihua Liang, Zhiyi Mo, Shengping Zhang, Xianxian Li |
| 2024 | ORES: Open-Vocabulary Responsible Visual Synthesis. Minheng Ni, Chenfei Wu, Xiaodong Wang, Shengming Yin, Lijuan Wang, Zicheng Liu, Nan Duan |
| 2024 | OSFFNet: Omni-Stage Feature Fusion Network for Lightweight Image Super-Resolution. Yang Wang, Tao Zhang |
| 2024 | OUTFOX: LLM-Generated Essay Detection Through In-Context Learning with Adversarially Generated Examples. Ryuto Koike, Masahiro Kaneko, Naoaki Okazaki |
| 2024 | OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments. Jinyi Liu, Zhi Wang, Yan Zheng, Jianye Hao, Chenjia Bai, Junjie Ye, Zhen Wang, Haiyin Piao, Yang Sun |
| 2024 | OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models. Changhun Lee, Jungyu Jin, Taesu Kim, Hyungjun Kim, Eunhyeok Park |
| 2024 | O^2-Recon: Completing 3D Reconstruction of Occluded Objects in the Scene with a Pre-trained 2D Diffusion Model. Yubin Hu, Sheng Ye, Wang Zhao, Matthieu Lin, Yuze He, Yu-Hui Wen, Ying He, Yong-Jin Liu |
| 2024 | Object Attribute Matters in Visual Question Answering. Peize Li, Qingyi Si, Peng Fu, Zheng Lin, Yan Wang |
| 2024 | Object-Aware Adaptive-Positivity Learning for Audio-Visual Question Answering. Zhangbin Li, Dan Guo, Jinxing Zhou, Jing Zhang, Meng Wang |
| 2024 | Object-Aware Domain Generalization for Object Detection. Wooju Lee, Dasol Hong, Hyungtae Lim, Hyun Myung |
| 2024 | Occluded Person Re-identification via Saliency-Guided Patch Transfer. Lei Tan, Jiaer Xia, Wenfeng Liu, Pingyang Dai, Yongjian Wu, Liujuan Cao |
| 2024 | OctOcc: High-Resolution 3D Occupancy Prediction with Octree. Wenzhe Ouyang, Xiaolin Song, Bailan Feng, Zenglin Xu |
| 2024 | Offline Model-Based Optimization via Policy-Guided Gradient Search. Yassine Chemingui, Aryan Deshwal, Trong Nghia Hoang, Janardhan Rao Doppa |
| 2024 | Offline and Online Optical Flow Enhancement for Deep Video Compression. Chuanbo Tang, Xihua Sheng, Zhuoyuan Li, Haotian Zhang, Li Li, Dong Liu |
| 2024 | Omega-Regular Decision Processes. Ernst Moritz Hahn, Mateo Perez, Sven Schewe, Fabio Somenzi, Ashutosh Trivedi, Dominik Wojtczak |
| 2024 | Omni-Kernel Network for Image Restoration. Yuning Cui, Wenqi Ren, Alois Knoll |
| 2024 | Omnidirectional Image Super-resolution via Bi-projection Fusion. Jiangang Wang, Yuning Cui, Yawen Li, Wenqi Ren, Xiaochun Cao |
| 2024 | Omnipotent Distillation with LLMs for Weakly-Supervised Natural Language Video Localization: When Divergence Meets Consistency. Peijun Bao, Zihao Shao, Wenhan Yang, Boon Poh Ng, Meng Hwa Er, Alex C. Kot |
| 2024 | On Alternating-Time Temporal Logic, Hyperproperties, and Strategy Sharing. Raven Beutner, Bernd Finkbeiner |
| 2024 | On Computing Makespan-Optimal Solutions for Generalized Sliding-Tile Puzzles. Marcus Gozon, Jingjin Yu |
| 2024 | On Disentanglement of Asymmetrical Knowledge Transfer for Modality-Task Agnostic Federated Learning. Jiayi Chen, Aidong Zhang |
| 2024 | On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design. Ziqiao Ao, Jinglai Li |
| 2024 | On Inference Stability for Diffusion Models. Viet Nguyen, Giang Vu, Tung Nguyen Thanh, Khoat Than, Toan Tran |
| 2024 | On Optimal Tradeoffs between EFX and Nash Welfare. Michal Feldman, Simon Mauras, Tomasz Ponitka |
| 2024 | On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods. Anh Duc Nguyen, Tuan Dung Nguyen, Quang Minh Nguyen, Hoang H. Nguyen, Lam M. Nguyen, Kim-Chuan Toh |
| 2024 | On Unsupervised Domain Adaptation: Pseudo Label Guided Mixup for Adversarial Prompt Tuning. Fanshuang Kong, Richong Zhang, Ziqiao Wang, Yongyi Mao |
| 2024 | On the Actionability of Outcome Prediction. Lydia T. Liu, Solon Barocas, Jon M. Kleinberg, Karen Levy |
| 2024 | On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling. Xiaobao Wu, Fengjun Pan, Thong Nguyen, Yichao Feng, Chaoqun Liu, Cong-Duy Nguyen, Anh Tuan Luu |
| 2024 | On the Computational Complexity of Plan Verification, (Bounded) Plan-Optimality Verification, and Bounded Plan Existence. Songtuan Lin, Conny Olz, Malte Helmert, Pascal Bercher |
| 2024 | On the Concept Trustworthiness in Concept Bottleneck Models. Qihan Huang, Jie Song, Jingwen Hu, Haofei Zhang, Yong Wang, Mingli Song |
| 2024 | On the Convergence of an Adaptive Momentum Method for Adversarial Attacks. Sheng Long, Wei Tao, Shuohao Li, Jun Lei, Jun Zhang |
| 2024 | On the Expressivity of Recurrent Neural Cascades. Nadezda Alexandrovna Knorozova, Alessandro Ronca |
| 2024 | On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods. Kasun Amarasinghe, Kit T. Rodolfa, Sérgio M. Jesus, Valerie Chen, Vladimir Balayan, Pedro Saleiro, Pedro Bizarro, Ameet Talwalkar, Rayid Ghani |
| 2024 | On the Outcome Equivalence of Extensive-Form and Behavioral Correlated Equilibria. Brian Hu Zhang, Tuomas Sandholm |
| 2024 | On the Robustness of Neural-Enhanced Video Streaming against Adversarial Attacks. Qihua Zhou, Jingcai Guo, Song Guo, Ruibin Li, Jie Zhang, Bingjie Wang, Zhenda Xu |
| 2024 | On the Role of Server Momentum in Federated Learning. Jianhui Sun, Xidong Wu, Heng Huang, Aidong Zhang |
| 2024 | On the Structural Hardness of Answer Set Programming: Can Structure Efficiently Confine the Power of Disjunctions? Markus Hecher, Rafael Kiesel |
| 2024 | On the Unstable Convergence Regime of Gradient Descent. Shuo Chen, Jiaying Peng, Xiaolong Li, Yao Zhao |
| 2024 | Once and for All: Universal Transferable Adversarial Perturbation against Deep Hashing-Based Facial Image Retrieval. Long Tang, Dengpan Ye, Yunna Lv, Chuanxi Chen, Yunming Zhang |
| 2024 | One Self-Configurable Model to Solve Many Abstract Visual Reasoning Problems. Mikolaj Malkinski, Jacek Mandziuk |
| 2024 | One Step Closer to Unbiased Aleatoric Uncertainty Estimation. Wang Zhang, Ziwen Martin Ma, Subhro Das, Tsui-Wei Lily Weng, Alexandre Megretski, Luca Daniel, Lam M. Nguyen |
| 2024 | One Step Learning, One Step Review. Xiaolong Huang, Qiankun Li, Xueran Li, Xuesong Gao |
| 2024 | One at a Time: Progressive Multi-Step Volumetric Probability Learning for Reliable 3D Scene Perception. Bohan Li, Yasheng Sun, Jingxin Dong, Zheng Zhu, Jinming Liu, Xin Jin, Wenjun Zeng |
| 2024 | One-Step Forward and Backtrack: Overcoming Zig-Zagging in Loss-Aware Quantization Training. Lianbo Ma, Yuee Zhou, Jianlun Ma, Guo Yu, Qing Li |
| 2024 | Online Boosting Adaptive Learning under Concept Drift for Multistream Classification. En Yu, Jie Lu, Bin Zhang, Guangquan Zhang |
| 2024 | Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback. Qiming Liu, Xiang Ao, Yuyao Guo, Qing He |
| 2024 | Online Markov Decision Processes Configuration with Continuous Decision Space. Davide Maran, Pierriccardo Olivieri, Francesco Emanuele Stradi, Giuseppe Urso, Nicola Gatti, Marcello Restelli |
| 2024 | Online Reinforcement Learning-Based Pedagogical Planning for Narrative-Centered Learning Environments. Fahmid Morshed Fahid, Jonathan P. Rowe, Yeo Jin Kim, Shashank Srivastava, James C. Lester |
| 2024 | Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints. Shufan Wang, Guojun Xiong, Jian Li |
| 2024 | Online Sensitivity Optimization in Differentially Private Learning. Filippo Galli, Catuscia Palamidessi, Tommaso Cucinotta |
| 2024 | Online Submodular Maximization via Online Convex Optimization. Tareq Si Salem, Gözde Özcan, Iasonas Nikolaou, Evimaria Terzi, Stratis Ioannidis |
| 2024 | OntoFact: Unveiling Fantastic Fact-Skeleton of LLMs via Ontology-Driven Reinforcement Learning. Ziyu Shang, Wenjun Ke, Nana Xiu, Peng Wang, Jiajun Liu, Yanhui Li, Zhizhao Luo, Ke Ji |
| 2024 | Open-Set Facial Expression Recognition. Yuhang Zhang, Yue Yao, Xuannan Liu, Lixiong Qin, Wenjing Wang, Weihong Deng |
| 2024 | Open-Set Graph Domain Adaptation via Separate Domain Alignment. Yu Wang, Ronghang Zhu, Pengsheng Ji, Sheng Li |
| 2024 | Open-Vocabulary Video Relation Extraction. Wentao Tian, Zheng Wang, Yuqian Fu, Jingjing Chen, Lechao Cheng |
| 2024 | Opening the Black Box: Unraveling the Classroom Dialogue Analysis (Student Abstract). Deliang Wang |
| 2024 | Operationalizing Essential Characteristics of Creativity in a Computational System for Music Composition. Paul M. Bodily, Dan Ventura |
| 2024 | Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations. Woojin Cho, Seunghyeon Cho, Hyundong Jin, Jinsung Jeon, Kookjin Lee, Sanghyun Hong, Dongeun Lee, Jonghyun Choi, Noseong Park |
| 2024 | Opponent-Model Search in Games with Incomplete Information. Junkang Li, Bruno Zanuttini, Véronique Ventos |
| 2024 | Optical Flow for Spike Camera with Hierarchical Spatial-Temporal Spike Fusion. Rui Zhao, Ruiqin Xiong, Jian Zhang, Xinfeng Zhang, Zhaofei Yu, Tiejun Huang |
| 2024 | Optimal Attack and Defense for Reinforcement Learning. Jeremy McMahan, Young Wu, Xiaojin Zhu, Qiaomin Xie |
| 2024 | Optimal Makespan in a Minute Timespan! A Scalable Multi-Robot Goal Assignment Algorithm for Minimizing Mission Time. Aakash, Indranil Saha |
| 2024 | Optimal Mechanism in a Dynamic Stochastic Knapsack Environment. Jihyeok Jung, Chan-Oi Song, Deok-Joo Lee, Kiho Yoon |
| 2024 | Optimal Quasi-clique: Hardness, Equivalence with Densest-k-Subgraph, and Quasi-partitioned Community Mining. Aritra Konar, Nicholas D. Sidiropoulos |
| 2024 | Optimal Survival Trees: A Dynamic Programming Approach. Tim Huisman, Jacobus G. M. van der Linden, Emir Demirovic |
| 2024 | Optimal Transport with Cyclic Symmetry. Shoichiro Takeda, Yasunori Akagi, Naoki Marumo, Kenta Niwa |
| 2024 | Optimal Transport with Tempered Exponential Measures. Ehsan Amid, Frank Nielsen, Richard Nock, Manfred K. Warmuth |
| 2024 | Optimised Storage for Datalog Reasoning. Xinyue Zhang, Pan Hu, Yavor Nenov, Ian Horrocks |
| 2024 | Optimistic Model Rollouts for Pessimistic Offline Policy Optimization. Yuanzhao Zhai, Yiying Li, Zijian Gao, Xudong Gong, Kele Xu, Dawei Feng, Bo Ding, Huaimin Wang |
| 2024 | Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property. Ioannis Anagnostides, Ioannis Panageas, Gabriele Farina, Tuomas Sandholm |
| 2024 | Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning. Chao Li, Yupeng Zhang, Jianqi Wang, Yujing Hu, Shaokang Dong, Wenbin Li, Tangjie Lv, Changjie Fan, Yang Gao |
| 2024 | Optimize & Reduce: A Top-Down Approach for Image Vectorization. Or Hirschorn, Amir Jevnisek, Shai Avidan |
| 2024 | Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems. Jintao Song, Wenqi Lu, Yunwen Lei, Yuchao Tang, Zhenkuan Pan, Jinming Duan |
| 2024 | Optimizing IT FinOps and Sustainability through Unsupervised Workload Characterization. Xi Yang, Rohan R. Arora, Saurabh Jha, Chandra Narayanaswami, Cheuk Lam, Jerrold Leichter, Yu Deng, Daby M. Sow |
| 2024 | Optimizing Local Satisfaction of Long-Run Average Objectives in Markov Decision Processes. David Klaska, Antonín Kucera, Vojtech Kur, Vít Musil, Vojtech Rehák |
| 2024 | Optimizing Recall in Deep Graph Hashing Framework for Item Retrieval (Student Abstract). Fangyuan Luo, Jun Wu |
| 2024 | Optimizing the Optimization of Planning Domains by Automatic Action Schema Splitting. Mojtaba Elahi, Jussi Rintanen |
| 2024 | Orthogonal Dictionary Guided Shape Completion Network for Point Cloud. Pingping Cai, Deja Scott, Xiaoguang Li, Song Wang |
| 2024 | Out of Thin Air: Exploring Data-Free Adversarial Robustness Distillation. Yuzheng Wang, Zhaoyu Chen, Dingkang Yang, Pinxue Guo, Kaixun Jiang, Wenqiang Zhang, Lizhe Qi |
| 2024 | Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning. Wenjun Miao, Guansong Pang, Xiao Bai, Tianqi Li, Jin Zheng |
| 2024 | Outlier Ranking for Large-Scale Public Health Data. Ananya Joshi, Tina Townes, Nolan Gormley, Luke Neureiter, Roni Rosenfeld, Bryan Wilder |
| 2024 | P2BPO: Permeable Penalty Barrier-Based Policy Optimization for Safe RL. Sumanta Dey, Pallab Dasgupta, Soumyajit Dey |
| 2024 | PA2D-MORL: Pareto Ascent Directional Decomposition Based Multi-Objective Reinforcement Learning. Tianmeng Hu, Biao Luo |
| 2024 | PAC-Bayes Generalisation Bounds for Dynamical Systems including Stable RNNs. Deividas Eringis, John Leth, Zheng-Hua Tan, Rafael Wisniewski, Mihály Petreczky |
| 2024 | PARSAC: Accelerating Robust Multi-Model Fitting with Parallel Sample Consensus. Florian Kluger, Bodo Rosenhahn |
| 2024 | PC-Conv: Unifying Homophily and Heterophily with Two-Fold Filtering. Bingheng Li, Erlin Pan, Zhao Kang |
| 2024 | PCE-Palm: Palm Crease Energy Based Two-Stage Realistic Pseudo-Palmprint Generation. Jianlong Jin, Lei Shen, Ruixin Zhang, Chenglong Zhao, Ge Jin, Jingyun Zhang, Shouhong Ding, Yang Zhao, Wei Jia |
| 2024 | PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion. Yige Yuan, Bingbing Xu, Bo Lin, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng |
| 2024 | PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance. Taicai Chen, Yue Duan, Dong Li, Lei Qi, Yinghuan Shi, Yang Gao |
| 2024 | PHFormer: Multi-Fragment Assembly Using Proxy-Level Hybrid Transformer. Wenting Cui, Runzhao Yao, Shaoyi Du |
| 2024 | PICNN: A Pathway towards Interpretable Convolutional Neural Networks. Wengang Guo, Jiayi Yang, Huilin Yin, Qijun Chen, Wei Ye |
| 2024 | PICSR: Prototype-Informed Cross-Silo Router for Federated Learning (Student Abstract). Eric Enouen, Sebastian Caldas, Mononito Goswami, Artur Dubrawski |
| 2024 | PM-INR: Prior-Rich Multi-Modal Implicit Large-Scale Scene Neural Representation. Yiying Yang, Fukun Yin, Wen Liu, Jiayuan Fan, Xin Chen, Gang Yu, Tao Chen |
| 2024 | PMAC: Personalized Multi-Agent Communication. Xiangrui Meng, Ying Tan |
| 2024 | PMET: Precise Model Editing in a Transformer. Xiaopeng Li, Shasha Li, Shezheng Song, Jing Yang, Jun Ma, Jie Yu |
| 2024 | PMRC: Prompt-Based Machine Reading Comprehension for Few-Shot Named Entity Recognition. Jin Huang, Danfeng Yan, Yuanqiang Cai |
| 2024 | PNeRFLoc: Visual Localization with Point-Based Neural Radiance Fields. Boming Zhao, Luwei Yang, Mao Mao, Hujun Bao, Zhaopeng Cui |
| 2024 | PNeSM: Arbitrary 3D Scene Stylization via Prompt-Based Neural Style Mapping. Jiafu Chen, Wei Xing, Jiakai Sun, Tianyi Chu, Yiling Huang, Boyan Ji, Lei Zhao, Huaizhong Lin, Haibo Chen, Zhizhong Wang |
| 2024 | PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning. Jizhou Wu, Jianye Hao, Tianpei Yang, Xiaotian Hao, Yan Zheng, Weixun Wang, Matthew E. Taylor |
| 2024 | PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation. Yue-Jiang Dong, Yuan-Chen Guo, Ying-Tian Liu, Fang-Lue Zhang, Song-Hai Zhang |
| 2024 | PPIDSG: A Privacy-Preserving Image Distribution Sharing Scheme with GAN in Federated Learning. Yuting Ma, Yuanzhi Yao, XiaoHua Xu |
| 2024 | PPO-Clip Attains Global Optimality: Towards Deeper Understandings of Clipping. Nai-Chieh Huang, Ping-Chun Hsieh, Kuo-Hao Ho, I-Chen Wu |
| 2024 | PREFER: Prompt Ensemble Learning via Feedback-Reflect-Refine. Chenrui Zhang, Lin Liu, Chuyuan Wang, Xiao Sun, Hongyu Wang, Jinpeng Wang, Mingchen Cai |
| 2024 | PRP Rebooted: Advancing the State of the Art in FOND Planning. Christian Muise, Sheila A. McIlraith, J. Christopher Beck |
| 2024 | PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction. Lirong Wu, Yufei Huang, Cheng Tan, Zhangyang Gao, Bozhen Hu, Haitao Lin, Zicheng Liu, Stan Z. Li |
| 2024 | PTMQ: Post-training Multi-Bit Quantization of Neural Networks. Ke Xu, Zhongcheng Li, Shanshan Wang, Xingyi Zhang |
| 2024 | PTUS: Photo-Realistic Talking Upper-Body Synthesis via 3D-Aware Motion Decomposition Warping. Luoyang Lin, Zutao Jiang, Xiaodan Liang, Liqian Ma, Michael C. Kampffmeyer, Xiaochun Cao |
| 2024 | PVALane: Prior-Guided 3D Lane Detection with View-Agnostic Feature Alignment. Zewen Zheng, Xuemin Zhang, Yongqiang Mou, Xiang Gao, Chengxin Li, Guoheng Huang, Chi-Man Pun, Xiaochen Yuan |
| 2024 | PaintHuman: Towards High-Fidelity Text-to-3D Human Texturing via Denoised Score Distillation. Jianhui Yu, Hao Zhu, Liming Jiang, Chen Change Loy, Tom Weidong Cai, Wayne Wu |
| 2024 | Painterly Image Harmonization by Learning from Painterly Objects. Li Niu, Junyan Cao, Yan Hong, Liqing Zhang |
| 2024 | Pairwise-Label-Based Deep Incremental Hashing with Simultaneous Code Expansion. Dayan Wu, Qinghang Su, Bo Li, Weiping Wang |
| 2024 | Pandora's Problem with Deadlines. Ben Berger, Tomer Ezra, Michal Feldman, Federico Fusco |
| 2024 | Pano-NeRF: Synthesizing High Dynamic Range Novel Views with Geometry from Sparse Low Dynamic Range Panoramic Images. Zhan Lu, Qian Zheng, Boxin Shi, Xudong Jiang |
| 2024 | Panoptic Scene Graph Generation with Semantics-Prototype Learning. Li Li, Wei Ji, Yiming Wu, Mengze Li, You Qin, Lina Wei, Roger Zimmermann |
| 2024 | Pantypes: Diverse Representatives for Self-Explainable Models. Rune D. Kjærsgaard, Ahcène Boubekki, Line H. Clemmensen |
| 2024 | ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer. Zachary Horvitz, Ajay Patel, Chris Callison-Burch, Zhou Yu, Kathleen R. McKeown |
| 2024 | Parallel Beam Search Algorithms for Domain-Independent Dynamic Programming. Ryo Kuroiwa, J. Christopher Beck |
| 2024 | Parallel Empirical Evaluations: Resilience despite Concurrency. Johannes Klaus Fichte, Tobias Geibinger, Markus Hecher, Matthias Schlögel |
| 2024 | Parallel Ranking of Ads and Creatives in Real-Time Advertising Systems. Zhiguang Yang, Liufang Sang, Haoran Wang, Wenlong Chen, Lu Wang, Jie He, Changping Peng, Zhangang Lin, Chun Gan, Jingping Shao |
| 2024 | Parallel Vertex Diffusion for Unified Visual Grounding. Zesen Cheng, Kehan Li, Peng Jin, Siheng Li, Xiangyang Ji, Li Yuan, Chang Liu, Jie Chen |
| 2024 | Parameterization of (Partial) Maximum Satisfiability above Matching in a Variable-Clause Graph. Vasily Alferov, Ivan Bliznets, Kirill Brilliantov |
| 2024 | Parameterized Approximation Algorithms for Sum of Radii Clustering and Variants. Xianrun Chen, Dachuan Xu, Yicheng Xu, Yong Zhang |
| 2024 | Parameterized Projected Bellman Operator. Théo Vincent, Alberto Maria Metelli, Boris Belousov, Jan Peters, Marcello Restelli, Carlo D'Eramo |
| 2024 | Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization. Alaleh Ahmadianshalchi, Syrine Belakaria, Janardhan Rao Doppa |
| 2024 | Parsing All Adverse Scenes: Severity-Aware Semantic Segmentation with Mask-Enhanced Cross-Domain Consistency. Fuhao Li, Ziyang Gong, Yupeng Deng, Xianzheng Ma, Renrui Zhang, Zhenming Ji, Xiangwei Zhu, Hong Zhang |
| 2024 | Partial Label Learning with a Partner. Chongjie Si, Zekun Jiang, Xuehui Wang, Yan Wang, Xiaokang Yang, Wei Shen |
| 2024 | Partial Multi-View Clustering via Self-Supervised Network. Wei Feng, Guoshuai Sheng, Qianqian Wang, Quanxue Gao, Zhiqiang Tao, Bo Dong |
| 2024 | Partially Observable Hierarchical Reinforcement Learning with AI Planning (Student Abstract). Brandon Rozek, Junkyu Lee, Harsha Kokel, Michael Katz, Shirin Sohrabi |
| 2024 | Participation Incentives in Approval-Based Committee Elections. Martin Bullinger, Chris Dong, Patrick Lederer, Clara Mehler |
| 2024 | Pass-Efficient Algorithms for Graph Spectral Clustering (Student Abstract). Boshen Yan, Guihong Wan, Haim Schweitzer, Zoltan Maliga, Sara Khattab, Kun-Hsing Yu, Peter K. Sorger, Yevgeniy R. Semenov |
| 2024 | Patch-Aware Sample Selection for Efficient Masked Image Modeling. Zhengyang Zhuge, Jiaxing Wang, Yong Li, Yongjun Bao, Peisong Wang, Jian Cheng |
| 2024 | Patch-Wise Graph Contrastive Learning for Image Translation. Chanyong Jung, Gihyun Kwon, Jong Chul Ye |
| 2024 | Patched Line Segment Learning for Vector Road Mapping. Jiakun Xu, Bowen Xu, Gui-Song Xia, Liang Dong, Nan Xue |
| 2024 | PathAsst: A Generative Foundation AI Assistant towards Artificial General Intelligence of Pathology. Yuxuan Sun, Chenglu Zhu, Sunyi Zheng, Kai Zhang, Lin Sun, Zhongyi Shui, Yunlong Zhang, Honglin Li, Lin Yang |
| 2024 | Paths, Proofs, and Perfection: Developing a Human-Interpretable Proof System for Constrained Shortest Paths. Konstantin Sidorov, Gonçalo Homem de Almeida Correia, Mathijs de Weerdt, Emir Demirovic |
| 2024 | Pay Attention to Target: Relation-Aware Temporal Consistency for Domain Adaptive Video Semantic Segmentation. Huayu Mai, Rui Sun, Yuan Wang, Tianzhu Zhang, Feng Wu |
| 2024 | Pay to (Not) Play: Monetizing Impatience in Mobile Games. Taylor Lundy, Narun K. Raman, Hu Fu, Kevin Leyton-Brown |
| 2024 | Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations. Cedric Derstroff, Mattia Cerrato, Jannis Brugger, Jan Peters, Stefan Kramer |
| 2024 | Peer Neighborhood Mechanisms: A Framework for Mechanism Generalization. Adam Richardson, Boi Faltings |
| 2024 | PerFedRLNAS: One-for-All Personalized Federated Neural Architecture Search. Dixi Yao, Baochun Li |
| 2024 | Percentile Risk-Constrained Budget Pacing for Guaranteed Display Advertising in Online Optimization. Liang Dai, Kejie Lyu, Chengcheng Zhang, Guangming Zhao, Zhonglin Zu, Liang Wang, Bo Zheng |
| 2024 | Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts. Kun Jin, Tongxin Yin, Zhongzhu Chen, Zeyu Sun, Xueru Zhang, Yang Liu, Mingyan Liu |
| 2024 | Permutation-Based Hypothesis Testing for Neural Networks. Francesca Mandel, Ian Barnett |
| 2024 | Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Models. Yihao Huang, Felix Juefei-Xu, Qing Guo, Jie Zhang, Yutong Wu, Ming Hu, Tianlin Li, Geguang Pu, Yang Liu |
| 2024 | Personalized LoRA for Human-Centered Text Understanding. You Zhang, Jin Wang, Liang-Chih Yu, Dan Xu, Xuejie Zhang |
| 2024 | Personalized Reinforcement Learning with a Budget of Policies. Dmitry Ivanov, Omer Ben-Porat |
| 2024 | Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off. Yu-An Liu, Ruqing Zhang, Mingkun Zhang, Wei Chen, Maarten de Rijke, Jiafeng Guo, Xueqi Cheng |
| 2024 | Pharmacokinetics-Informed Neural Network for Predicting Opioid Administration Moments with Wearable Sensors. Bhanu Teja Gullapalli, Stephanie Carreiro, Brittany P. Chapman, Eric L. Garland, Tauhidur Rahman |
| 2024 | Phoneme Hallucinator: One-Shot Voice Conversion via Set Expansion. Siyuan Shan, Yang Li, Amartya Banerjee, Junier B. Oliva |
| 2024 | Physics-Informed Graph Neural Networks for Water Distribution Systems. Inaam Ashraf, Janine Strotherm, Luca Hermes, Barbara Hammer |
| 2024 | Physics-Informed Representation and Learning: Control and Risk Quantification. Zhuoyuan Wang, Reece Keller, Xiyu Deng, Kenta Hoshino, Takashi Tanaka, Yorie Nakahira |
| 2024 | Piecewise Linear Transformation - Propagating Aleatoric Uncertainty in Neural Networks. Thomas Krapf, Michael Hagn, Paul Miethaner, Alexander Schiller, Lucas Luttner, Bernd Heinrich |
| 2024 | Plug-In Diffusion Model for Sequential Recommendation. Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin, Zhanhui Kang |
| 2024 | PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation. Zhiyuan Hu, Chumin Liu, Yue Feng, Anh Tuan Luu, Bryan Hooi |
| 2024 | Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding. Yuecen Wei, Haonan Yuan, Xingcheng Fu, Qingyun Sun, Hao Peng, Xianxian Li, Chunming Hu |
| 2024 | Point Cloud Part Editing: Segmentation, Generation, Assembly, and Selection. Kaiyi Zhang, Yang Chen, Ximing Yang, Weizhong Zhang, Cheng Jin |
| 2024 | Point Deformable Network with Enhanced Normal Embedding for Point Cloud Analysis. Xingyilang Yin, Xi Yang, Liangchen Liu, Nannan Wang, Xinbo Gao |
| 2024 | Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images. Bao Li, Zhenyu Liu, Lizhi Shao, Bensheng Qiu, Hong Bu, Jie Tian |
| 2024 | Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models. Yiwen Tang, Ray Zhang, Zoey Guo, Xianzheng Ma, Bin Zhao, Zhigang Wang, Dong Wang, Xuelong Li |
| 2024 | Point-to-Spike Residual Learning for Energy-Efficient 3D Point Cloud Classification. Qiaoyun Wu, Quanxiao Zhang, Chunyu Tan, Yun Zhou, Changyin Sun |
| 2024 | Point2Real: Bridging the Gap between Point Cloud and Realistic Image for Open-World 3D Recognition. Hanxuan Li, Bin Fu, Ruiping Wang, Xilin Chen |
| 2024 | PointAttN: You Only Need Attention for Point Cloud Completion. Jun Wang, Ying Cui, Dongyan Guo, Junxia Li, Qingshan Liu, Chunhua Shen |
| 2024 | PointCVaR: Risk-Optimized Outlier Removal for Robust 3D Point Cloud Classification. Xinke Li, Junchi Lu, Henghui Ding, Changsheng Sun, Joey Tianyi Zhou, Yeow Meng Chee |
| 2024 | PointPatchMix: Point Cloud Mixing with Patch Scoring. Yi Wang, Jiaze Wang, Jinpeng Li, Zixu Zhao, Guangyong Chen, Anfeng Liu, Pheng-Ann Heng |
| 2024 | Polyper: Boundary Sensitive Polyp Segmentation. Hao Shao, Yang Zhang, Qibin Hou |
| 2024 | PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations. Rui She, Sijie Wang, Qiyu Kang, Kai Zhao, Yang Song, Wee Peng Tay, Tianyu Geng, Xingchao Jian |
| 2024 | PoseGen: Learning to Generate 3D Human Pose Dataset with NeRF. Mohsen Gholami, Rabab Ward, Z. Jane Wang |
| 2024 | Post-trained Convolution Networks for Single Image Super-resolution (Abstract Reprint). Seid Miad Zandavi |
| 2024 | Potential-Based Reward Shaping for Intrinsic Motivation (Student Abstract). Grant C. Forbes, David L. Roberts |
| 2024 | Power Grid Anomaly Detection via Hybrid LSTM-GIN Model (Student Abstract). Amelia Jobe, Richard Ky, Sandra Luo, Akshay Dhamsania, Sumit Purohit, Edoardo Serra |
| 2024 | Power-Aware Inverse-Search Machine Learning for Low Resource Multi-Objective Unmanned Underwater Vehicle Control (Student Abstract). Brian Zhou, Jason Geder, Kamal Viswanath, Alisha Sharma, Julian Lee |
| 2024 | Practical Privacy-Preserving MLaaS: When Compressive Sensing Meets Generative Networks. Jia Wang, Wuqiang Su, Zushu Huang, Jie Chen, Chengwen Luo, Jianqiang Li |
| 2024 | Practical Sentiment Analysis for Education: The Power of Student Crowdsourcing. Robert Kasumba, Marion Neumman |
| 2024 | Pre-trained Online Contrastive Learning for Insurance Fraud Detection. Rui Zhang, Dawei Cheng, Jie Yang, Yi Ouyang, Xian Wu, Yefeng Zheng, Changjun Jiang |
| 2024 | PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling. Ruizhe Zhong, Junjie Ye, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Junchi Yan |
| 2024 | Predicting Real-World Penny Auction Durations by Integrating Game Theory and Machine Learning. Yujia Wang, Haoran Yu |
| 2024 | PrefAce: Face-Centric Pretraining with Self-Structure Aware Distillation. Siyuan Hu, Zheng Wang, Peng Hu, Xi Peng, Jie Wu, Hongyuan Zhu, Yew Soon Ong |
| 2024 | Preference Aware Dual Contrastive Learning for Item Cold-Start Recommendation. Wenbo Wang, Bingquan Liu, Lili Shan, Chengjie Sun, Ben Chen, Jian Guan |
| 2024 | Preference Ranking Optimization for Human Alignment. Feifan Song, Bowen Yu, Minghao Li, Haiyang Yu, Fei Huang, Yongbin Li, Houfeng Wang |
| 2024 | Preference-Aware Constrained Multi-Objective Bayesian Optimization (Student Abstract). Alaleh Ahmadianshalchi, Syrine Belakaria, Janardhan Rao Doppa |
| 2024 | Preparing Lessons for Progressive Training on Language Models. Yu Pan, Ye Yuan, Yichun Yin, Jiaxin Shi, Zenglin Xu, Ming Zhang, Lifeng Shang, Xin Jiang, Qun Liu |
| 2024 | Preventing Eviction-Caused Homelessness through ML-Informed Distribution of Rental Assistance. Catalina Vajiac, Arun Frey, Joachim Baumann, Abigail Smith, Kasun Amarasinghe, Alice Lai, Kit T. Rodolfa, Rayid Ghani |
| 2024 | Primitive-Based 3D Human-Object Interaction Modelling and Programming. Siqi Liu, Yong-Lu Li, Zhou Fang, Xinpeng Liu, Yang You, Cewu Lu |
| 2024 | Principal-Agent Reward Shaping in MDPs. Omer Ben-Porat, Yishay Mansour, Michal Moshkovitz, Boaz Taitler |
| 2024 | Principle Component Trees and Their Persistent Homology. Ben A. Kizaric, Daniel L. Pimentel-Alarcón |
| 2024 | Prior and Prediction Inverse Kernel Transformer for Single Image Defocus Deblurring. Peng Tang, Zhiqiang Xu, Chunlai Zhou, Pengfei Wei, Peng Han, Xin Cao, Tobias Lasser |
| 2024 | Privacy Amplification by Iteration for ADMM with (Strongly) Convex Objective Functions. T.-H. Hubert Chan, Hao Xie, Mengshi Zhao |
| 2024 | Privileged Prior Information Distillation for Image Matting. Cheng Lyu, Jiake Xie, Bo Xu, Cheng Lu, Han Huang, Xin Huang, Ming Wu, Chuang Zhang, Yong Tang |
| 2024 | ProAgent: Building Proactive Cooperative Agents with Large Language Models. Ceyao Zhang, Kaijie Yang, Siyi Hu, Zihao Wang, Guanghe Li, Yihang Sun, Cheng Zhang, Zhaowei Zhang, Anji Liu, Song-Chun Zhu, Xiaojun Chang, Junge Zhang, Feng Yin, Yitao Liang, Yaodong Yang |
| 2024 | ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning. Fushuo Huo, Wenchao Xu, Song Guo, Jingcai Guo, Haozhao Wang, Ziming Liu, Xiaocheng Lu |
| 2024 | Probabilistic Neural Circuits. Pedro Zuidberg Dos Martires |
| 2024 | Probabilistic Offline Policy Ranking with Approximate Bayesian Computation. Longchao Da, Porter Jenkins, Trevor Schwantes, Jeffrey Dotson, Hua Wei |
| 2024 | Probabilities of Causation with Nonbinary Treatment and Effect. Ang Li, Judea Pearl |
| 2024 | Probability-Polarized Optimal Transport for Unsupervised Domain Adaptation. Yan Wang, Chuan-Xian Ren, Yi-Ming Zhai, You-Wei Luo, Hong Yan |
| 2024 | Procedural Level Generation with Diffusion Models from a Single Example. Shiqi Dai, Xuanyu Zhu, Naiqi Li, Tao Dai, Zhi Wang |
| 2024 | Program Synthesis with Best-First Bottom-Up Search (Abstract Reprint). Saqib Ameen, Levi H. S. Lelis |
| 2024 | Progressive Distillation Based on Masked Generation Feature Method for Knowledge Graph Completion. Cunhang Fan, Yujie Chen, Jun Xue, Yonghui Kong, Jianhua Tao, Zhao Lv |
| 2024 | Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation. Jingxuan He, Lechao Cheng, Chaowei Fang, Zunlei Feng, Tingting Mu, Mingli Song |
| 2024 | Progressive High-Frequency Reconstruction for Pan-Sharpening with Implicit Neural Representation. Ge Meng, Jingjia Huang, Yingying Wang, Zhenqi Fu, Xinghao Ding, Yue Huang |
| 2024 | Progressive Painterly Image Harmonization from Low-Level Styles to High-Level Styles. Li Niu, Yan Hong, Junyan Cao, Liqing Zhang |
| 2024 | Progressive Poisoned Data Isolation for Training-Time Backdoor Defense. Yiming Chen, Haiwei Wu, Jiantao Zhou |
| 2024 | Progressive Text-to-Image Diffusion with Soft Latent Direction. Yuteng Ye, Jiale Cai, Hang Zhou, Guanwen Li, Youjia Zhang, Zikai Song, Chenxing Gao, Junqing Yu, Wei Yang |
| 2024 | Progressively Knowledge Distillation via Re-parameterizing Diffusion Reverse Process. Xufeng Yao, Fanbin Lu, Yuechen Zhang, Xinyun Zhang, Wenqian Zhao, Bei Yu |
| 2024 | Project-Fair and Truthful Mechanisms for Budget Aggregation. Rupert Freeman, Ulrike Schmidt-Kraepelin |
| 2024 | Promoting Counterfactual Robustness through Diversity. Francesco Leofante, Nico Potyka |
| 2024 | Promoting Fair Vaccination Strategies through Influence Maximization: A Case Study on COVID-19 Spread. Nicola Neophytou, Afaf Taïk, Golnoosh Farnadi |
| 2024 | Promoting Research Collaboration with Open Data Driven Team Recommendation in Response to Call for Proposals. Siva Likitha Valluru, Biplav Srivastava, Sai Teja Paladi, Siwen Yan, Sriraam Natarajan |
| 2024 | Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning. Longchao Da, Minquan Gao, Hao Mei, Hua Wei |
| 2024 | Prompt-Based Distribution Alignment for Unsupervised Domain Adaptation. Shuanghao Bai, Min Zhang, Wanqi Zhou, Siteng Huang, Zhirong Luan, Donglin Wang, Badong Chen |
| 2024 | PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation. Haibo Jin, Haoxuan Che, Yi Lin, Hao Chen |
| 2024 | Prompting Multi-Modal Image Segmentation with Semantic Grouping. Qibin He |
| 2024 | Prompting Segmentation with Sound Is Generalizable Audio-Visual Source Localizer. Yaoting Wang, Weisong Liu, Guangyao Li, Jian Ding, Di Hu, Xi Li |
| 2024 | Propagation Tree Is Not Deep: Adaptive Graph Contrastive Learning Approach for Rumor Detection. Chaoqun Cui, Caiyan Jia |
| 2024 | Proportional Aggregation of Preferences for Sequential Decision Making. Nikhil Chandak, Shashwat Goel, Dominik Peters |
| 2024 | Proportional Representation in Metric Spaces and Low-Distortion Committee Selection. Yusuf Hakan Kalayci, David Kempe, Vikram Kher |
| 2024 | Prot2Text: Multimodal Protein's Function Generation with GNNs and Transformers. Hadi Abdine, Michail Chatzianastasis, Costas Bouyioukos, Michalis Vazirgiannis |
| 2024 | Protect Your Score: Contact-Tracing with Differential Privacy Guarantees. Rob Romijnders, Christos Louizos, Yuki M. Asano, Max Welling |
| 2024 | Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction. Yufei Huang, Siyuan Li, Lirong Wu, Jin Su, Haitao Lin, Odin Zhang, Zihan Liu, Zhangyang Gao, Jiangbin Zheng, Stan Z. Li |
| 2024 | Provable Robustness against a Union of L_0 Adversarial Attacks. Zayd Hammoudeh, Daniel Lowd |
| 2024 | Provably Convergent Federated Trilevel Learning. Yang Jiao, Kai Yang, Tiancheng Wu, Chengtao Jian, Jianwei Huang |
| 2024 | Provably Powerful Graph Neural Networks for Directed Multigraphs. Béni Egressy, Luc von Niederhäusern, Jovan Blanusa, Erik R. Altman, Roger Wattenhofer, Kubilay Atasu |
| 2024 | Providing Fair Recourse over Plausible Groups. Jayanth Yetukuri, Ian Hardy, Yevgeniy Vorobeychik, Berk Ustun, Yang Liu |
| 2024 | ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open-Vocabulary Object Detection. Joonhyun Jeong, Geondo Park, Jayeon Yoo, Hyungsik Jung, Heesu Kim |
| 2024 | Proxyformer: Nyström-Based Linear Transformer with Trainable Proxy Tokens. Sangho Lee, Hayun Lee, Dongkun Shin |
| 2024 | Pseudo-Label Calibration Semi-supervised Multi-Modal Entity Alignment. Luyao Wang, Pengnian Qi, Xigang Bao, Chunlai Zhou, Biao Qin |
| 2024 | Pure-Past Action Masking. Giovanni Varricchione, Natasha Alechina, Mehdi Dastani, Giuseppe De Giacomo, Brian Logan, Giuseppe Perelli |
| 2024 | Pushing the Limit of Fine-Tuning for Few-Shot Learning: Where Feature Reusing Meets Cross-Scale Attention. Ying-Yu Chen, Jun-Wei Hsieh, Xin Li, Ming-Ching Chang |
| 2024 | Q-SENN: Quantized Self-Explaining Neural Networks. Thomas Norrenbrock, Marco Rudolph, Bodo Rosenhahn |
| 2024 | QAGait: Revisit Gait Recognition from a Quality Perspective. Zengbin Wang, Saihui Hou, Man Zhang, Xu Liu, Chunshui Cao, Yongzhen Huang, Peipei Li, Shibiao Xu |
| 2024 | QCS-SGM+: Improved Quantized Compressed Sensing with Score-Based Generative Models. Xiangming Meng, Yoshiyuki Kabashima |
| 2024 | QDETRv: Query-Guided DETR for One-Shot Object Localization in Videos. Yogesh Kumar, Saswat Mallick, Anand Mishra, Sowmya Rasipuram, Anutosh Maitra, Roshni R. Ramnani |
| 2024 | QI-IRA: Quantum-Inspired Interactive Ranking Aggregation for Person Re-identification. Chunyu Hu, Hong Zhang, Chao Liang, Hao Huang |
| 2024 | QLABGrad: A Hyperparameter-Free and Convergence-Guaranteed Scheme for Deep Learning. Minghan Fu, Fang-Xiang Wu |
| 2024 | QPEN: Quantum Projection and Quantum Entanglement Enhanced Network for Cross-Lingual Aspect-Based Sentiment Analysis. Xingqiang Zhao, Hai Wan, Kunxun Qi |
| 2024 | Quad Bayer Joint Demosaicing and Denoising Based on Dual Encoder Network with Joint Residual Learning. Bolun Zheng, Haoran Li, Quan Chen, Tingyu Wang, Xiaofei Zhou, Zhenghui Hu, Chenggang Yan |
| 2024 | Quality-Diversity Generative Sampling for Learning with Synthetic Data. Allen Chang, Matthew C. Fontaine, Serena Booth, Maja J. Mataric, Stefanos Nikolaidis |
| 2024 | Quantifying Political Polarization through the Lens of Machine Translation and Vicarious Offense. Ashiqur R. KhudaBukhsh |
| 2024 | Quantifying and Analyzing Entity-Level Memorization in Large Language Models. Zhenhong Zhou, Jiuyang Xiang, Chaomeng Chen, Sen Su |
| 2024 | Quantile-Based Maximum Likelihood Training for Outlier Detection. Masoud Taghikhah, Nishant Kumar, Sinisa Segvic, Abouzar Eslami, Stefan Gumhold |
| 2024 | Quantile-Regression-Ensemble: A Deep Learning Algorithm for Downscaling Extreme Precipitation. Thomas Bailie, Yun Sing Koh, Neelesh Rampal, Peter B. Gibson |
| 2024 | Quantum Interference Model for Semantic Biases of Glosses in Word Sense Disambiguation. Junwei Zhang, Ruifang He, Fengyu Guo, Chang Liu |
| 2024 | Quantum-Inspired Neural Network with Runge-Kutta Method. Zipeng Fan, Jing Zhang, Peng Zhang, Qianxi Lin, Hui Gao |
| 2024 | QuerySum: A Multi-Document Query-Focused Summarization Dataset Augmented with Similar Query Clusters. Yushan Liu, Zili Wang, Ruifeng Yuan |
| 2024 | Question Calibration and Multi-Hop Modeling for Temporal Question Answering. Chao Xue, Di Liang, Pengfei Wang, Jing Zhang |
| 2024 | QuickRender: A Photorealistic Procedurally Generated Dataset with Applications to Super Resolution (Student Abstract). Morgan Payette, Charlotte Curtis |
| 2024 | Quilt: Robust Data Segment Selection against Concept Drifts. Minsu Kim, Seonghyeon Hwang, Steven Euijong Whang |
| 2024 | R3CD: Scene Graph to Image Generation with Relation-Aware Compositional Contrastive Control Diffusion. Jinxiu Liu, Qi Liu |
| 2024 | READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling. Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Khoi M. Le, Zhiyuan Hu, Cong-Duy Nguyen, See-Kiong Ng, Anh Tuan Luu |
| 2024 | REGLO: Provable Neural Network Repair for Global Robustness Properties. Feisi Fu, Zhilu Wang, Weichao Zhou, Yixuan Wang, Jiameng Fan, Chao Huang, Qi Zhu, Xin Chen, Wenchao Li |
| 2024 | REPrune: Channel Pruning via Kernel Representative Selection. Mincheol Park, Dongjin Kim, Cheonjun Park, Yuna Park, Gyeong Eun Gong, Won Woo Ro, Suhyun Kim |
| 2024 | RG-GAN: Dynamic Regenerative Pruning for Data-Efficient Generative Adversarial Networks. Divya Saxena, Jiannong Cao, Jiahao Xu, Tarun Kulshrestha |
| 2024 | RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning. Jingdi Chen, Tian Lan, Carlee Joe-Wong |
| 2024 | RL-SeqISP: Reinforcement Learning-Based Sequential Optimization for Image Signal Processing. Xinyu Sun, Zhikun Zhao, Lili Wei, Congyan Lang, Mingxuan Cai, Longfei Han, Juan Wang, Bing Li, Yuxuan Guo |
| 2024 | RLPeri: Accelerating Visual Perimetry Test with Reinforcement Learning and Convolutional Feature Extraction. Tanvi Verma, Linh Le Dinh, Nicholas Tan, Xinxing Xu, Ching-Yu Cheng, Yong Liu |
| 2024 | RLfOLD: Reinforcement Learning from Online Demonstrations in Urban Autonomous Driving. Daniel Coelho, Miguel Oliveira, Vitor Santos |
| 2024 | ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning. Qin Zhang, Xiaowei Li, Jiexin Lu, Liping Qiu, Shirui Pan, Xiaojun Chen, Junyang Chen |
| 2024 | RPSC: Robust Pseudo-Labeling for Semantic Clustering. Sihang Liu, Wenming Cao, Ruigang Fu, Kaixiang Yang, Zhiwen Yu |
| 2024 | RR-PU: A Synergistic Two-Stage Positive and Unlabeled Learning Framework for Robust Tax Evasion Detection. Shuzhi Cao, Jianfei Ruan, Bo Dong, Bin Shi, Qinghua Zheng |
| 2024 | RRL: Recommendation Reverse Learning. Xiaoyu You, Jianwei Xu, Mi Zhang, Zechen Gao, Min Yang |
| 2024 | RWMS: Reliable Weighted Multi-Phase for Semi-supervised Segmentation. Wensi Liu, Xiao-Yu Tang, Chong Yang, Chunjie Yang |
| 2024 | Racing Control Variable Genetic Programming for Symbolic Regression. Nan Jiang, Yexiang Xue |
| 2024 | RadOcc: Learning Cross-Modality Occupancy Knowledge through Rendering Assisted Distillation. Haiming Zhang, Xu Yan, Dongfeng Bai, Jiantao Gao, Pan Wang, Bingbing Liu, Shuguang Cui, Zhen Li |
| 2024 | RadarMOSEVE: A Spatial-Temporal Transformer Network for Radar-Only Moving Object Segmentation and Ego-Velocity Estimation. Changsong Pang, Xieyuanli Chen, Yimin Liu, Huimin Lu, Yuwei Cheng |
| 2024 | Rating-Based Reinforcement Learning. Devin White, Mingkang Wu, Ellen R. Novoseller, Vernon J. Lawhern, Nicholas R. Waytowich, Yongcan Cao |
| 2024 | ReGCL: Rethinking Message Passing in Graph Contrastive Learning. Cheng Ji, Zixuan Huang, Qingyun Sun, Hao Peng, Xingcheng Fu, Qian Li, Jianxin Li |
| 2024 | Reachability of Fair Allocations via Sequential Exchanges. Ayumi Igarashi, Naoyuki Kamiyama, Warut Suksompong, Sheung Man Yuen |
| 2024 | Reading between the Lines: Image-Based Order Detection in OCR for Chinese Historical Documents. Hsing-Yuan Ma, Hen-Hsen Huang, Chao-Lin Liu |
| 2024 | Real3D: The Curious Case of Neural Scene Degeneration. Dengsheng Chen, Jie Hu, Xiaoming Wei, Enhua Wu |
| 2024 | Reasoning about Causality in Games (Abstract Reprint). Lewis Hammond, James Fox, Tom Everitt, Ryan Carey, Alessandro Abate, Michael J. Wooldridge |
| 2024 | RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface. Zeyuan Zhang, Tanmay Laud, Zihang He, Xiaojie Chen, Xinshuang Liu, Zhouhang Xie, Julian J. McAuley, Zhankui He |
| 2024 | Recall-Oriented Continual Learning with Generative Adversarial Meta-Model. Haneol Kang, Dong-Wan Choi |
| 2024 | Recasting Regional Lighting for Shadow Removal. Yuhao Liu, Zhanghan Ke, Ke Xu, Fang Liu, Zhenwei Wang, Rynson W. H. Lau |
| 2024 | Recent Advancements in Inverse Reinforcement Learning. Alberto Maria Metelli |
| 2024 | Recognizing Ultra-High-Speed Moving Objects with Bio-Inspired Spike Camera. Junwei Zhao, Shiliang Zhang, Zhaofei Yu, Tiejun Huang |
| 2024 | Recommender Ecosystems: A Mechanism Design Perspective on Holistic Modeling and Optimization. Craig Boutilier, Martin Mladenov, Guy Tennenholtz |
| 2024 | Reconciling Predictive and Statistical Parity: A Causal Approach. Drago Plecko, Elias Bareinboim |
| 2024 | Rectangle Search: An Anytime Beam Search. Sofia Lemons, Wheeler Ruml, Robert C. Holte, Carlos Linares López |
| 2024 | Recurrent Graph Neural Networks and Their Connections to Bisimulation and Logic. Maximilian Pflueger, David Tena Cucala, Egor V. Kostylev |
| 2024 | Recurrent Partial Kernel Network for Efficient Optical Flow Estimation. Henrique Morimitsu, Xiaobin Zhu, Xiangyang Ji, Xu-Cheng Yin |
| 2024 | RedCore: Relative Advantage Aware Cross-Modal Representation Learning for Missing Modalities with Imbalanced Missing Rates. Jun Sun, Xinxin Zhang, Shoukang Han, Yu-Ping Ruan, Taihao Li |
| 2024 | Redefining ABA+ Semantics via Abstract Set-to-Set Attacks. Yannis Dimopoulos, Wolfgang Dvorák, Matthias König, Anna Rapberger, Markus Ulbricht, Stefan Woltran |
| 2024 | Redefining the Laparoscopic Spatial Sense: AI-Based Intra- and Postoperative Measurement from Stereoimages. Leopold Müller, Patrick Hemmer, Moritz Queisner, Igor M. Sauer, Simeon Allmendinger, Johannes Jakubik, Michael Vössing, Niklas Kühl |
| 2024 | Reducing Spatial Fitting Error in Distillation of Denoising Diffusion Models. Shengzhe Zhou, Zejian Li, Shengyuan Zhang, Lefan Hou, Changyuan Yang, Guang Yang, Zhiyuan Yang, Lingyun Sun |
| 2024 | Referee-Meta-Learning for Fast Adaptation of Locational Fairness. Weiye Chen, Yiqun Xie, Xiaowei Jia, Erhu He, Han Bao, Bang An, Xun Zhou |
| 2024 | Referred by Multi-Modality: A Unified Temporal Transformer for Video Object Segmentation. Shilin Yan, Renrui Zhang, Ziyu Guo, Wenchao Chen, Wei Zhang, Hongyang Li, Yu Qiao, Hao Dong, Zhongjiang He, Peng Gao |
| 2024 | Refined Characterizations of Approval-Based Committee Scoring Rules. Chris Dong, Patrick Lederer |
| 2024 | Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks. Chenyang Qiu, Guoshun Nan, Tianyu Xiong, Wendi Deng, Di Wang, Zhiyang Teng, Lijuan Sun, Qimei Cui, Xiaofeng Tao |
| 2024 | Regeneration Learning: A Learning Paradigm for Data Generation. Xu Tan, Tao Qin, Jiang Bian, Tie-Yan Liu, Yoshua Bengio |
| 2024 | Region-Aware Exposure Consistency Network for Mixed Exposure Correction. Jin Liu, Huiyuan Fu, Chuanming Wang, Huadong Ma |
| 2024 | Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation. Debaditya Shome, Pritam Sarkar, Ali Etemad |
| 2024 | Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes. Qinbo Bai, Washim Uddin Mondal, Vaneet Aggarwal |
| 2024 | Regret Analysis of Repeated Delegated Choice. Mohammad Hajiaghayi, Mohammad Mahdavi, Keivan Rezaei, Suho Shin |
| 2024 | Regroup Median Loss for Combating Label Noise. Fengpeng Li, Kemou Li, Jinyu Tian, Jiantao Zhou |
| 2024 | Regulating AI: Applying Insights from Behavioural Economics and Psychology to the Application of Article 5 of the EU AI Act. Huixin Zhong, Eamonn O'Neill, Janina A. Hoffmann |
| 2024 | Regulating Intermediate 3D Features for Vision-Centric Autonomous Driving. Junkai Xu, Liang Peng, Haoran Cheng, Linxuan Xia, Qi Zhou, Dan Deng, Wei Qian, Wenxiao Wang, Deng Cai |
| 2024 | Reinforced Adaptive Knowledge Learning for Multimodal Fake News Detection. Litian Zhang, Xiaoming Zhang, Ziyi Zhou, Feiran Huang, Chaozhuo Li |
| 2024 | Reinforcement Learning and Data-Generation for Syntax-Guided Synthesis. Julian Parsert, Elizabeth Polgreen |
| 2024 | Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation. Bharat Srikishan, Anika Tabassum, Srikanth Allu, Ramakrishnan Kannan, Nikhil Muralidhar |
| 2024 | Relational Distant Supervision for Image Captioning without Image-Text Pairs. Yayun Qi, Wentian Zhao, Xinxiao Wu |
| 2024 | Relational Programming with Foundational Models. Ziyang Li, Jiani Huang, Jason Liu, Felix Zhu, Eric Zhao, William Dodds, Neelay Velingker, Rajeev Alur, Mayur Naik |
| 2024 | Relative Policy-Transition Optimization for Fast Policy Transfer. Jiawei Xu, Cheng Zhou, Yizheng Zhang, Baoxiang Wang, Lei Han |
| 2024 | Relax Image-Specific Prompt Requirement in SAM: A Single Generic Prompt for Segmenting Camouflaged Objects. Jian Hu, Jiayi Lin, Shaogang Gong, Weitong Cai |
| 2024 | Relaxed Stationary Distribution Correction Estimation for Improved Offline Policy Optimization. Woosung Kim, Donghyeon Ki, Byung-Jun Lee |
| 2024 | Relevant Intrinsic Feature Enhancement Network for Few-Shot Semantic Segmentation. Xiaoyi Bao, Jie Qin, Siyang Sun, Xingang Wang, Yun Zheng |
| 2024 | Reliable Conflictive Multi-View Learning. Cai Xu, Jiajun Si, Ziyu Guan, Wei Zhao, Yue Wu, Xiyue Gao |
| 2024 | Reliable Data Generation and Selection for Low-Resource Relation Extraction. Junjie Yu, Xing Wang, Wenliang Chen |
| 2024 | Relightable and Animatable Neural Avatars from Videos. Wenbin Lin, Chengwei Zheng, Jun-Hai Yong, Feng Xu |
| 2024 | Removing Interference and Recovering Content Imaginatively for Visible Watermark Removal. Yicheng Leng, Chaowei Fang, Gen Li, Yixiang Fang, Guanbin Li |
| 2024 | Repeated Fair Allocation of Indivisible Items. Ayumi Igarashi, Martin Lackner, Oliviero Nardi, Arianna Novaro |
| 2024 | Representation-Based Robustness in Goal-Conditioned Reinforcement Learning. Xiangyu Yin, Sihao Wu, Jiaxu Liu, Meng Fang, Xingyu Zhao, Xiaowei Huang, Wenjie Ruan |
| 2024 | Reproduce, Replicate, Reevaluate. The Long but Safe Way to Extend Machine Learning Methods. Luisa Werner, Nabil Layaïda, Pierre Genevès, Jérôme Euzenat, Damien Graux |
| 2024 | ResDiff: Combining CNN and Diffusion Model for Image Super-resolution. Shuyao Shang, Zhengyang Shan, Guangxing Liu, Lunqian Wang, Xinghua Wang, Zekai Zhang, Jinglin Zhang |
| 2024 | ResMatch: Residual Attention Learning for Feature Matching. Yuxin Deng, Kaining Zhang, Shihua Zhang, Yansheng Li, Jiayi Ma |
| 2024 | Research of Event Reconstruct Based on Multi-View Contrastive Learning (Student Abstract). Yuefeng Ma, Zhongchao He, Shumei Wang |
| 2024 | Residual Hyperbolic Graph Convolution Networks. Yangkai Xue, Jindou Dai, Zhipeng Lu, Yuwei Wu, Yunde Jia |
| 2024 | Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective. Zhen Qin, Feiyi Chen, Chen Zhi, Xueqiang Yan, Shuiguang Deng |
| 2024 | Resource Democratization: Is Compute the Binding Constraint on AI Research? Rebecca Gelles, Veronica Kinoshita, Micah Musser, James Dunham |
| 2024 | Resource Efficient Deep Learning Hardware Watermarks with Signature Alignment. Joseph Clements, Yingjie Lao |
| 2024 | Responding to the Call: Exploring Automatic Music Composition Using a Knowledge-Enhanced Model. Zhejing Hu, Yan Liu, Gong Chen, Xiao Ma, Shenghua Zhong, Qianwen Luo |
| 2024 | Response Enhanced Semi-supervised Dialogue Query Generation. Jianheng Huang, Ante Wang, Linfeng Gao, Linfeng Song, Jinsong Su |
| 2024 | Responsibility in Extensive Form Games. Qi Shi |
| 2024 | Responsible Bandit Learning via Privacy-Protected Mean-Volatility Utility. Shanshan Zhao, Wenhai Cui, Bei Jiang, Linglong Kong, Xiaodong Yan |
| 2024 | Restoring Speaking Lips from Occlusion for Audio-Visual Speech Recognition. Jiadong Wang, Zexu Pan, Malu Zhang, Robby T. Tan, Haizhou Li |
| 2024 | RetLLM-E: Retrieval-Prompt Strategy for Question-Answering on Student Discussion Forums. Chancharik Mitra, Mihran Miroyan, Rishi Jain, Vedant Kumud, Gireeja Ranade, Narges Norouzi |
| 2024 | Rethinking Attention: Exploring Shallow Feed-Forward Neural Networks as an Alternative to Attention Layers in Transformers (Student Abstract). Danilo Dordevic, Vukasin Bozic, Joseph Thommes, Daniele Coppola, Sidak Pal Singh |
| 2024 | Rethinking Causal Relationships Learning in Graph Neural Networks. Hang Gao, Chengyu Yao, Jiangmeng Li, Lingyu Si, Yifan Jin, Fengge Wu, Changwen Zheng, Huaping Liu |
| 2024 | Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective. Qirui Ji, Jiangmeng Li, Jie Hu, Rui Wang, Changwen Zheng, Fanjiang Xu |
| 2024 | Rethinking Graph Masked Autoencoders through Alignment and Uniformity. Liang Wang, Xiang Tao, Qiang Liu, Shu Wu, Liang Wang |
| 2024 | Rethinking Mesh Watermark: Towards Highly Robust and Adaptable Deep 3D Mesh Watermarking. Xingyu Zhu, Guanhui Ye, Xiapu Luo, Xuetao Wei |
| 2024 | Rethinking Multi-Scale Representations in Deep Deraining Transformer. Hongming Chen, Xiang Chen, Jiyang Lu, Yufeng Li |
| 2024 | Rethinking Peculiar Images by Diffusion Models: Revealing Local Minima's Role. Jinhyeok Jang, Chan-Hyun Youn, Minsu Jeon, Changha Lee |
| 2024 | Rethinking Propagation for Unsupervised Graph Domain Adaptation. Meihan Liu, Zeyu Fang, Zhen Zhang, Ming Gu, Sheng Zhou, Xin Wang, Jiajun Bu |
| 2024 | Rethinking Reverse Distillation for Multi-Modal Anomaly Detection. Zhihao Gu, Jiangning Zhang, Liang Liu, Xu Chen, Jinlong Peng, Zhenye Gan, Guannan Jiang, Annan Shu, Yabiao Wang, Lizhuang Ma |
| 2024 | Rethinking Robustness of Model Attributions. Sandesh Kamath, Sankalp Mittal, Amit Deshpande, Vineeth N. Balasubramanian |
| 2024 | Rethinking Two-Stage Referring Expression Comprehension: A Novel Grounding and Segmentation Method Modulated by Point. Peizhi Zhao, Shiyi Zheng, Wenye Zhao, Dongsheng Xu, Pijian Li, Yi Cai, Qingbao Huang |
| 2024 | Rethinking the Development of Large Language Models from the Causal Perspective: A Legal Text Prediction Case Study. Haotian Chen, Lingwei Zhang, Yiran Liu, Yang Yu |
| 2024 | Rethinking the Paradigm of Content Constraints in Unpaired Image-to-Image Translation. Xiuding Cai, Yaoyao Zhu, Dong Miao, Linjie Fu, Yu Yao |
| 2024 | RetouchFormer: Semi-supervised High-Quality Face Retouching Transformer with Prior-Based Selective Self-Attention. Xue Wen, Lianxin Xie, Le Jiang, Tianyi Chen, Si Wu, Cheng Liu, Hau-San Wong |
| 2024 | Retrieval-Augmented Primitive Representations for Compositional Zero-Shot Learning. Chenchen Jing, Yukun Li, Hao Chen, Chunhua Shen |
| 2024 | RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction. Yemin Yu, Luotian Yuan, Ying Wei, Hanyu Gao, Fei Wu, Zhihua Wang, Xinhai Ye |
| 2024 | Revealing the Proximate Long-Tail Distribution in Compositional Zero-Shot Learning. Chenyi Jiang, Haofeng Zhang |
| 2024 | Reverse Multi-Choice Dialogue Commonsense Inference with Graph-of-Thought. Li Zheng, Hao Fei, Fei Li, Bobo Li, Lizi Liao, Donghong Ji, Chong Teng |
| 2024 | Review-Enhanced Hierarchical Contrastive Learning for Recommendation. Ke Wang, Yanmin Zhu, Tianzi Zang, Chunyang Wang, Mengyuan Jing |
| 2024 | Reviewing the Forgotten Classes for Domain Adaptation of Black-Box Predictors. Shaojie Zhang, Chun Shen, Shuai Lü, Zeyu Zhang |
| 2024 | Revisiting Disentanglement in Downstream Tasks: A Study on Its Necessity for Abstract Visual Reasoning. Ruiqian Nai, Zixin Wen, Ji Li, Yuanzhi Li, Yang Gao |
| 2024 | Revisiting Document-Level Relation Extraction with Context-Guided Link Prediction. Monika Jain, Raghava Mutharaju, Ramakanth Kavuluru, Kuldeep Singh |
| 2024 | Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks. Lulu Xue, Shengshan Hu, Ruizhi Zhao, Leo Yu Zhang, Shengqing Hu, Lichao Sun, Dezhong Yao |
| 2024 | Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum. Fan Xu, Nan Wang, Hao Wu, Xuezhi Wen, Xibin Zhao, Hai Wan |
| 2024 | Revisiting Open-Set Panoptic Segmentation. Yufei Yin, Hao Chen, Wengang Zhou, Jiajun Deng, Haiming Xu, Houqiang Li |
| 2024 | Revisiting the Information Capacity of Neural Network Watermarks: Upper Bound Estimation and Beyond. Fangqi Li, Haodong Zhao, Wei Du, Shilin Wang |
| 2024 | Revitalizing Bahnaric Language through Neural Machine Translation: Challenges, Strategies, and Promising Outcomes. Hoang Nhat Khang Vo, Duc Dong Le, Tran Minh Dat Phan, Tan Sang Nguyen, Quoc Nguyen Pham, Ngoc Oanh Tran, Quang Duc Nguyen, Tran Minh Hieu Vo, Tho Quan |
| 2024 | Revolutionizing Education through AI-Powered Inclusive Learning Systems. Chahana Dahal |
| 2024 | Reward (Mis)design for Autonomous Driving (Abstract Reprint). W. Bradley Knox, Alessandro Allievi, Holger Banzhaf, Felix Schmitt, Peter Stone |
| 2024 | Reward Certification for Policy Smoothed Reinforcement Learning. Ronghui Mu, Leandro Soriano Marcolino, Yanghao Zhang, Tianle Zhang, Xiaowei Huang, Wenjie Ruan |
| 2024 | Reward Penalties on Augmented States for Solving Richly Constrained RL Effectively. Hao Jiang, Tien Mai, Pradeep Varakantham, Huy Hoang |
| 2024 | Reward-Respecting Subtasks for Model-Based Reinforcement Learning (Abstract Reprint). Richard S. Sutton, Marlos C. Machado, G. Zacharias Holland, David Szepesvari, Finbarr Timbers, Brian Tanner, Adam White |
| 2024 | RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting. Lei Shu, Liangchen Luo, Jayakumar Hoskere, Yun Zhu, Yinxiao Liu, Simon Tong, Jindong Chen, Lei Meng |
| 2024 | Rider Posture-Based Continuous Authentication with Few-Shot Learning for Mobility Scooters (Student Abstract). Devan Shah, Ruoqi Huang, Tingting Chen, Murtuza Jadliwala |
| 2024 | Risk Management in Image Generative Models through Model Fingerprinting. Changhoon Kim |
| 2024 | Risk-Aware Continuous Control with Neural Contextual Bandits. Jose A. Ayala-Romero, Andres Garcia-Saavedra, Xavier Costa-Pérez |
| 2024 | Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures. Gwangpyo Yoo, Jinwoo Park, Honguk Woo |
| 2024 | RoPDA: Robust Prompt-Based Data Augmentation for Low-Resource Named Entity Recognition. Sihan Song, Furao Shen, Jian Zhao |
| 2024 | Robust 3D Tracking with Quality-Aware Shape Completion. Jingwen Zhang, Zikun Zhou, Guangming Lu, Jiandong Tian, Wenjie Pei |
| 2024 | Robust Active Measuring under Model Uncertainty. Merlijn Krale, Thiago D. Simão, Jana Tumova, Nils Jansen |
| 2024 | Robust Beamforming for Downlink Multi-Cell Systems: A Bilevel Optimization Perspective. Xingdi Chen, Yu Xiong, Kai Yang |
| 2024 | Robust Blind Text Image Deblurring via Maximum Consensus Framework. Zijian Min, Gundu Mohamed Hassan, Geun-Sik Jo |
| 2024 | Robust Communicative Multi-Agent Reinforcement Learning with Active Defense. Lebin Yu, Yunbo Qiu, Quanming Yao, Yuan Shen, Xudong Zhang, Jian Wang |
| 2024 | Robust Distributed Gradient Aggregation Using Projections onto Gradient Manifolds. Kwang In Kim |
| 2024 | Robust Evaluation Measures for Evaluating Social Biases in Masked Language Models. Yang Liu |
| 2024 | Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification. Xiaojun Xue, Chunxia Zhang, Tianxiang Xu, Zhendong Niu |
| 2024 | Robust Loss Functions for Training Decision Trees with Noisy Labels. Jonathan Wilton, Nan Ye |
| 2024 | Robust Node Classification on Graph Data with Graph and Label Noise. Yonghua Zhu, Lei Feng, Zhenyun Deng, Yang Chen, Robert Amor, Michael Witbrock |
| 2024 | Robust Nonparametric Regression under Poisoning Attack. Puning Zhao, Zhiguo Wan |
| 2024 | Robust Policy Learning via Offline Skill Diffusion. Woo Kyung Kim, Minjong Yoo, Honguk Woo |
| 2024 | Robust Stochastic Graph Generator for Counterfactual Explanations. Mario Alfonso Prado-Romero, Bardh Prenkaj, Giovanni Stilo |
| 2024 | Robust Test-Time Adaptation for Zero-Shot Prompt Tuning. Dingchu Zhang, Zhi Zhou, Yufeng Li |
| 2024 | Robust Uncertainty Quantification Using Conformalised Monte Carlo Prediction. Daniel Bethell, Simos Gerasimou, Radu Calinescu |
| 2024 | Robust Visual Imitation Learning with Inverse Dynamics Representations. Siyuan Li, Xun Wang, Rongchang Zuo, Kewu Sun, Lingfei Cui, Jishiyu Ding, Peng Liu, Zhe Ma |
| 2024 | Robust Visual Recognition with Class-Imbalanced Open-World Noisy Data. Na Zhao, Gim Hee Lee |
| 2024 | Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach. Wen Huang, Xintao Wu |
| 2024 | Robustly Train Normalizing Flows via KL Divergence Regularization. Kun Song, Ruben Solozabal, Hao Li, Martin Takác, Lu Ren, Fakhri Karray |
| 2024 | Robustness Verification of Deep Reinforcement Learning Based Control Systems Using Reward Martingales. Dapeng Zhi, Peixin Wang, Cheng Chen, Min Zhang |
| 2024 | Robustness Verification of Multi-Class Tree Ensembles. Laurens Devos, Lorenzo Cascioli, Jesse Davis |
| 2024 | Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning. Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Avisek Naug, Sahand Ghorbanpour |
| 2024 | Robustness-Guided Image Synthesis for Data-Free Quantization. Jianhong Bai, Yuchen Yang, Huanpeng Chu, Hualiang Wang, Zuozhu Liu, Ruizhe Chen, Xiaoxuan He, Lianrui Mu, Chengfei Cai, Haoji Hu |
| 2024 | Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning. Yue Duan, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi |
| 2024 | Rolling-Unet: Revitalizing MLP's Ability to Efficiently Extract Long-Distance Dependencies for Medical Image Segmentation. Yutong Liu, Haijiang Zhu, Mengting Liu, Huaiyuan Yu, Zihan Chen, Jie Gao |
| 2024 | Root Cause Analysis in Microservice Using Neural Granger Causal Discovery. Cheng-Ming Lin, Ching Chang, Wei-Yao Wang, Kuang-Da Wang, Wen-Chih Peng |
| 2024 | Root Cause Explanation of Outliers under Noisy Mechanisms. Phuoc Nguyen, Truyen Tran, Sunil Gupta, Thin Nguyen, Svetha Venkatesh |
| 2024 | Runtime Analysis of the (μ + 1) GA: Provable Speed-Ups from Strong Drift towards Diverse Populations. Benjamin Doerr, Aymen Echarghaoui, Mohammed Jamal, Martin S. Krejca |
| 2024 | Runtime Analysis of the SMS-EMOA for Many-Objective Optimization. Weijie Zheng, Benjamin Doerr |
| 2024 | Runtime vs. Extracted Proof Size: An Exponential Gap for CDCL on QBFs. Olaf Beyersdorff, Benjamin Böhm, Meena Mahajan |
| 2024 | S2CycleDiff: Spatial-Spectral-Bilateral Cycle-Diffusion Framework for Hyperspectral Image Super-resolution. Jiahui Qu, Jie He, Wenqian Dong, Jingyu Zhao |
| 2024 | S2WAT: Image Style Transfer via Hierarchical Vision Transformer Using Strips Window Attention. Chiyu Zhang, Xiaogang Xu, Lei Wang, Zaiyan Dai, Jun Yang |
| 2024 | S3A: Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment. Sheng Zhang, Muzammal Naseer, Guangyi Chen, Zhiqiang Shen, Salman H. Khan, Kun Zhang, Fahad Khan |
| 2024 | SALSA: Semantically-Aware Latent Space Autoencoder. Kathryn E. Kirchoff, Travis Maxfield, Alexander Tropsha, Shawn M. Gomez |
| 2024 | SAM-PARSER: Fine-Tuning SAM Efficiently by Parameter Space Reconstruction. Zelin Peng, Zhengqin Xu, Zhilin Zeng, Xiaokang Yang, Wei Shen |
| 2024 | SAME: Sample Reconstruction against Model Extraction Attacks. Yi Xie, Jie Zhang, Shiqian Zhao, Tianwei Zhang, Xiaofeng Chen |
| 2024 | SAMFlow: Eliminating Any Fragmentation in Optical Flow with Segment Anything Model. Shili Zhou, Ruian He, Weimin Tan, Bo Yan |
| 2024 | SAT-Based Algorithms for Regular Graph Pattern Matching. Miguel Terra-Neves, José Amaral, Alexandre Lemos, Rui Quintino, Pedro Resende, António Alegria |
| 2024 | SAT-Based Techniques for Lexicographically Smallest Finite Models. Mikolás Janota, Choiwah Chow, João Araújo, Michael Codish, Petr Vojtechovský |
| 2024 | SAT-Based Tree Decomposition with Iterative Cascading Policy Selection. Hai Xia, Stefan Szeider |
| 2024 | SAUI: Scale-Aware Unseen Imagineer for Zero-Shot Object Detection. Jiahao Wang, Caixia Yan, Weizhan Zhang, Huan Liu, Hao Sun, Qinghua Zheng |
| 2024 | SAVSR: Arbitrary-Scale Video Super-Resolution via a Learned Scale-Adaptive Network. Zekun Li, Hongying Liu, Fanhua Shang, Yuanyuan Liu, Liang Wan, Wei Feng |
| 2024 | SA²VP: Spatially Aligned-and-Adapted Visual Prompt. Wenjie Pei, Tongqi Xia, Fanglin Chen, Jinsong Li, Jiandong Tian, Guangming Lu |
| 2024 | SC-NeuS: Consistent Neural Surface Reconstruction from Sparse and Noisy Views. Shi-Sheng Huang, Zi-Xin Zou, Yichi Zhang, Yan-Pei Cao, Ying Shan |
| 2024 | SCD-Net: Spatiotemporal Clues Disentanglement Network for Self-Supervised Skeleton-Based Action Recognition. Cong Wu, Xiao-Jun Wu, Josef Kittler, Tianyang Xu, Sara Ahmed, Muhammad Awais, Zhenhua Feng |
| 2024 | SCP: Spherical-Coordinate-Based Learned Point Cloud Compression. Ao Luo, Linxin Song, Keisuke Nonaka, Kyohei Unno, Heming Sun, Masayuki Goto, Jiro Katto |
| 2024 | SCTNet: Single-Branch CNN with Transformer Semantic Information for Real-Time Segmentation. Zhengze Xu, Dongyue Wu, Changqian Yu, Xiangxiang Chu, Nong Sang, Changxin Gao |
| 2024 | SD-MVS: Segmentation-Driven Deformation Multi-View Stereo with Spherical Refinement and EM Optimization. Zhenlong Yuan, Jiakai Cao, Zhaoxin Li, Hao Jiang, Zhaoqi Wang |
| 2024 | SDAC: A Multimodal Synthetic Dataset for Anomaly and Corner Case Detection in Autonomous Driving. Lei Gong, Yu Zhang, Yingqing Xia, Yanyong Zhang, Jianmin Ji |
| 2024 | SDGAN: Disentangling Semantic Manipulation for Facial Attribute Editing. Wenmin Huang, Weiqi Luo, Jiwu Huang, Xiaochun Cao |
| 2024 | SDGMNet: Statistic-Based Dynamic Gradient Modulation for Local Descriptor Learning. Yuxin Deng, Jiayi Ma |
| 2024 | SEA-GWNN: Simple and Effective Adaptive Graph Wavelet Neural Network. Swakshar Deb, Sejuti Rahman, Shafin Rahman |
| 2024 | SEC: More Accurate Clustering Algorithm via Structural Entropy. Junyu Huang, Qilong Feng, Jiahui Wang, Ziyun Huang, Jinhui Xu, Jianxin Wang |
| 2024 | SECap: Speech Emotion Captioning with Large Language Model. Yaoxun Xu, Hangting Chen, Jianwei Yu, Qiaochu Huang, Zhiyong Wu, Shi-Xiong Zhang, Guangzhi Li, Yi Luo, Rongzhi Gu |
| 2024 | SEER: Backdoor Detection for Vision-Language Models through Searching Target Text and Image Trigger Jointly. Liuwan Zhu, Rui Ning, Jiang Li, Chunsheng Xin, Hongyi Wu |
| 2024 | SEIT: Structural Enhancement for Unsupervised Image Translation in Frequency Domain. Zhifeng Zhu, Yaochen Li, Yifan Li, Jinhuo Yang, Peijun Chen, Yuehu Liu |
| 2024 | SENCR: A Span Enhanced Two-Stage Network with Counterfactual Rethinking for Chinese NER. Hang Zheng, Qingsong Li, Shen Chen, Yuxuan Liang, Li Liu |
| 2024 | SFC: Shared Feature Calibration in Weakly Supervised Semantic Segmentation. Xinqiao Zhao, Feilong Tang, Xiaoyang Wang, Jimin Xiao |
| 2024 | SGFormer: Semantic Graph Transformer for Point Cloud-Based 3D Scene Graph Generation. Changsheng Lv, Mengshi Qi, Xia Li, Zhengyuan Yang, Huadong Ma |
| 2024 | SGNet: Structure Guided Network via Gradient-Frequency Awareness for Depth Map Super-resolution. Zhengxue Wang, Zhiqiang Yan, Jian Yang |
| 2024 | SHAP@k: Efficient and Probably Approximately Correct (PAC) Identification of Top-K Features. Sanjay Kariyappa, Leonidas Tsepenekas, Freddy Lécué, Daniele Magazzeni |
| 2024 | SHaRPose: Sparse High-Resolution Representation for Human Pose Estimation. Xiaoqi An, Lin Zhao, Chen Gong, Nannan Wang, Di Wang, Jian Yang |
| 2024 | SHoP: A Deep Learning Framework for Solving High-Order Partial Differential Equations. Tingxiong Xiao, Runzhao Yang, Yuxiao Cheng, Jinli Suo |
| 2024 | SIG: Speaker Identification in Literature via Prompt-Based Generation. Zhenlin Su, Liyan Xu, Jin Xu, Jiangnan Li, Mingdu Huangfu |
| 2024 | SMILEtrack: SiMIlarity LEarning for Occlusion-Aware Multiple Object Tracking. Yu-Hsiang Wang, Jun-Wei Hsieh, Ping-Yang Chen, Ming-Ching Chang, Hung-Hin So, Xin Li |
| 2024 | SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks. Jae Choi, Yuzhou Chen, Huikyo Lee, Hyun Kim, Yulia R. Gel |
| 2024 | SOCIALGYM 2.0: Simulator for Multi-Robot Learning and Navigation in Shared Human Spaces. Rohan Chandra, Zayne Sprague, Joydeep Biswas |
| 2024 | SOGDet: Semantic-Occupancy Guided Multi-View 3D Object Detection. Qiu Zhou, Jinming Cao, Hanchao Leng, Yifang Yin, Yu Kun, Roger Zimmermann |
| 2024 | SPD-DDPM: Denoising Diffusion Probabilistic Models in the Symmetric Positive Definite Space. Yunchen Li, Zhou Yu, Gaoqi He, Yunhang Shen, Ke Li, Xing Sun, Shaohui Lin |
| 2024 | SPEAL: Skeletal Prior Embedded Attention Learning for Cross-Source Point Cloud Registration. Kezheng Xiong, Maoji Zheng, Qingshan Xu, Chenglu Wen, Siqi Shen, Cheng Wang |
| 2024 | SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection. Yun Zhu, Le Hui, Yaqi Shen, Jin Xie |
| 2024 | SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth Estimation. Youhong Wang, Yunji Liang, Hao Xu, Shaohui Jiao, Hongkai Yu |
| 2024 | SRFormer: Text Detection Transformer with Incorporated Segmentation and Regression. Qingwen Bu, Sungrae Park, Minsoo Khang, Yichuan Cheng |
| 2024 | SSMG: Spatial-Semantic Map Guided Diffusion Model for Free-Form Layout-to-Image Generation. Chengyou Jia, Minnan Luo, Zhuohang Dang, Guang Dai, Xiaojun Chang, Mengmeng Wang, Jingdong Wang |
| 2024 | STAIR: Spatial-Temporal Reasoning with Auditable Intermediate Results for Video Question Answering. Yueqian Wang, Yuxuan Wang, Kai Chen, Dongyan Zhao |
| 2024 | STAR: Boosting Low-Resource Information Extraction by Structure-to-Text Data Generation with Large Language Models. Mingyu Derek Ma, Xiaoxuan Wang, Po-Nien Kung, P. Jeffrey Brantingham, Nanyun Peng, Wei Wang |
| 2024 | STAS: Spatial-Temporal Return Decomposition for Solving Sparse Rewards Problems in Multi-agent Reinforcement Learning. Sirui Chen, Zhaowei Zhang, Yaodong Yang, Yali Du |
| 2024 | STDiff: Spatio-Temporal Diffusion for Continuous Stochastic Video Prediction. Xi Ye, Guillaume-Alexandre Bilodeau |
| 2024 | STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation. Liangcai Su, Junwei Pan, Ximei Wang, Xi Xiao, Shijie Quan, Xihua Chen, Jie Jiang |
| 2024 | STViT: Improving Self-Supervised Multi-Camera Depth Estimation with Spatial-Temporal Context and Adversarial Geometry Regularization (Student Abstract). Zhuo Chen, Haimei Zhao, Bo Yuan, Xiu Li |
| 2024 | SUF: Stabilized Unconstrained Fine-Tuning for Offline-to-Online Reinforcement Learning. Jiaheng Feng, Mingxiao Feng, Haolin Song, Wengang Zhou, Houqiang Li |
| 2024 | SURER: Structure-Adaptive Unified Graph Neural Network for Multi-View Clustering. Jing Wang, Songhe Feng, Gengyu Lyu, Jiazheng Yuan |
| 2024 | Safe Abductive Learning in the Presence of Inaccurate Rules. Xiaowen Yang, Jie-Jing Shao, Wei-Wei Tu, Yufeng Li, Wang-Zhou Dai, Zhi-Hua Zhou |
| 2024 | Safe Reinforcement Learning with Instantaneous Constraints: The Role of Aggressive Exploration. Honghao Wei, Xin Liu, Lei Ying |
| 2024 | SafeAR: Safe Algorithmic Recourse by Risk-Aware Policies. Haochen Wu, Shubham Sharma, Sunandita Patra, Sriram Gopalakrishnan |
| 2024 | Safeguarded Progress in Reinforcement Learning: Safe Bayesian Exploration for Control Policy Synthesis. Rohan Mitta, Hosein Hasanbeig, Jun Wang, Daniel Kroening, Yiannis Kantaros, Alessandro Abate |
| 2024 | Sample Efficient Reinforcement Learning with Partial Dynamics Knowledge. Meshal Alharbi, Mardavij Roozbehani, Munther A. Dahleh |
| 2024 | Sample-Constrained Black Box Optimization for Audio Personalization. Rajalaxmi Rajagopalan, Yu-Lin Wei, Romit Roy Choudhury |
| 2024 | Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering. Suyuan Liu, Junpu Zhang, Yi Wen, Xihong Yang, Siwei Wang, Yi Zhang, En Zhu, Chang Tang, Long Zhao, Xinwang Liu |
| 2024 | Sample-and-Bound for Non-convex Optimization. Yaoguang Zhai, Zhizhen Qin, Sicun Gao |
| 2024 | Sampling for Beyond-Worst-Case Online Ranking. Qingyun Chen, Sungjin Im, Benjamin Moseley, Chenyang Xu, Ruilong Zhang |
| 2024 | Sampling-Resilient Multi-Object Tracking. Zepeng Li, Dongxiang Zhang, Sai Wu, Mingli Song, Gang Chen |
| 2024 | SasWOT: Real-Time Semantic Segmentation Architecture Search WithOut Training. Chendi Zhu, Lujun Li, Yuli Wu, Zhengxing Sun |
| 2024 | Say Anything with Any Style. Shuai Tan, Bin Ji, Yu Ding, Ye Pan |
| 2024 | SayCanPay: Heuristic Planning with Large Language Models Using Learnable Domain Knowledge. Rishi Hazra, Pedro Zuidberg Dos Martires, Luc De Raedt |
| 2024 | Scalable Enumeration of Trap Spaces in Boolean Networks via Answer Set Programming. Giang V. Trinh, Belaid Benhamou, Samuel Pastva, Sylvain Soliman |
| 2024 | Scalable Geometric Fracture Assembly via Co-creation Space among Assemblers. Ruiyuan Zhang, Jiaxiang Liu, Zexi Li, Hao Dong, Jie Fu, Chao Wu |
| 2024 | Scalable Motion Style Transfer with Constrained Diffusion Generation. Wenjie Yin, Yi Yu, Hang Yin, Danica Kragic, Mårten Björkman |
| 2024 | Scale Optimization Using Evolutionary Reinforcement Learning for Object Detection on Drone Imagery. Jialu Zhang, Xiaoying Yang, Wentao He, Jianfeng Ren, Qian Zhang, Yitian Zhao, Ruibin Bai, Xiangjian He, Jiang Liu |
| 2024 | Scaling Few-Shot Learning for the Open World. Zhipeng Lin, Wenjing Yang, Haotian Wang, Haoang Chi, Long Lan, Ji Wang |
| 2024 | Scaling Offline Evaluation of Reinforcement Learning Agents through Abstraction. Josiah P. Hanna |
| 2024 | Scaling Up Pareto Optimization for Tree Structures with Affine Transformations: Evaluating Hybrid Floating Solar-Hydropower Systems in the Amazon. Marc Grimson, Rafael Almeida, Qinru Shi, Yiwei Bai, Hector Angarita, Felipe Siqueira Pacheco, Rafael Schmitt, Alexander Flecker, Carla P. Gomes |
| 2024 | Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data. Shuvendu Roy, Ali Etemad |
| 2024 | Scaling and Masking: A New Paradigm of Data Sampling for Image and Video Quality Assessment. Yongxu Liu, Yinghui Quan, Guoyao Xiao, Aobo Li, Jinjian Wu |
| 2024 | ScanERU: Interactive 3D Visual Grounding Based on Embodied Reference Understanding. Ziyang Lu, Yunqiang Pei, Guoqing Wang, Peiwei Li, Yang Yang, Yinjie Lei, Heng Tao Shen |
| 2024 | Scene Flow Prior Based Point Cloud Completion with Masked Transformer (Student Abstract). Junzhe Ding, Yufei Que, Jin Zhang, Cheng Wu |
| 2024 | SciEval: A Multi-Level Large Language Model Evaluation Benchmark for Scientific Research. Liangtai Sun, Yang Han, Zihan Zhao, Da Ma, Zhennan Shen, Baocai Chen, Lu Chen, Kai Yu |
| 2024 | SciSpace Copilot: Empowering Researchers through Intelligent Reading Assistance. Trinita Roy, Asheesh Kumar, Daksh Raghuvanshi, Siddhant Jain, Goutham Vignesh, Kartik Shinde, Rohan Tondulkar |
| 2024 | Scores for Learning Discrete Causal Graphs with Unobserved Confounders. Alexis Bellot, Junzhe Zhang, Elias Bareinboim |
| 2024 | Scribble Hides Class: Promoting Scribble-Based Weakly-Supervised Semantic Segmentation with Its Class Label. Xinliang Zhang, Lei Zhu, Hangzhou He, Lujia Jin, Yanye Lu |
| 2024 | SeGA: Preference-Aware Self-Contrastive Learning with Prompts for Anomalous User Detection on Twitter. Ying-Ying Chang, Wei-Yao Wang, Wen-Chih Peng |
| 2024 | SeTformer Is What You Need for Vision and Language. Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Michael Felsberg |
| 2024 | Secure Distributed Sparse Gaussian Process Models Using Multi-Key Homomorphic Encryption. Adil Nawaz, Guopeng Chen, Muhammad Umair Raza, Zahid Iqbal, Jianqiang Li, Victor C. M. Leung, Jie Chen |
| 2024 | Securing Billion Bluetooth Devices Leveraging Learning-Based Techniques. Hanlin Cai |
| 2024 | Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains. Yu Zhang, Yunyi Zhang, Yanzhen Shen, Yu Deng, Lucian Popa, Larisa Shwartz, ChengXiang Zhai, Jiawei Han |
| 2024 | Seeing Dark Videos via Self-Learned Bottleneck Neural Representation. Haofeng Huang, Wenhan Yang, Lingyu Duan, Jiaying Liu |
| 2024 | Segment beyond View: Handling Partially Missing Modality for Audio-Visual Semantic Segmentation. Renjie Wu, Hu Wang, Feras Dayoub, Hsiang-Ting Chen |
| 2024 | Select and Augment: Enhanced Dense Retrieval Knowledge Graph Augmentation (Abstract Reprint). Micheal Abaho, Yousef H. Alfaifi |
| 2024 | Selective Deep Autoencoder for Unsupervised Feature Selection. Wael Hassanieh, Abdallah A. Chehade |
| 2024 | Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection. Yunqian Fan, Xiuying Wei, Ruihao Gong, Yuqing Ma, Xiangguo Zhang, Qi Zhang, Xianglong Liu |
| 2024 | Selective and Orthogonal Feature Activation for Pedestrian Attribute Recognition. Junyi Wu, Yan Huang, Min Gao, Yuzhen Niu, Mingjing Yang, Zhipeng Gao, Jianqiang Zhao |
| 2024 | Self-Distillation Regularized Connectionist Temporal Classification Loss for Text Recognition: A Simple Yet Effective Approach. Ziyin Zhang, Ning Lu, Minghui Liao, Yongshuai Huang, Cheng Li, Min Wang, Wei Peng |
| 2024 | Self-Interpretable Graph Learning with Sufficient and Necessary Explanations. Jiale Deng, Yanyan Shen |
| 2024 | Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification. Zixuan Yuan, Hao Liu, Haoyi Zhou, Denghui Zhang, Xiao Zhang, Hao Wang, Hui Xiong |
| 2024 | Self-Prompt Mechanism for Few-Shot Image Recognition. Mingchen Song, Huiqiang Wang, Guoqiang Zhong |
| 2024 | Self-Supervised 3D Human Mesh Recovery from a Single Image with Uncertainty-Aware Learning. Guoli Yan, Zichun Zhong, Jing Hua |
| 2024 | Self-Supervised Bird's Eye View Motion Prediction with Cross-Modality Signals. Shaoheng Fang, Zuhong Liu, Mingyu Wang, Chenxin Xu, Yiqi Zhong, Siheng Chen |
| 2024 | Self-Supervised Disentangled Representation Learning for Robust Target Speech Extraction. Zhaoxi Mu, Xinyu Yang, Sining Sun, Qing Yang |
| 2024 | Self-Supervised Framework Based on Subject-Wise Clustering for Human Subject Time Series Data. Eunseon Seong, Harim Lee, Dong-Kyu Chae |
| 2024 | Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes. Yuanpeng Tu, Yuxi Li, Boshen Zhang, Liang Liu, Jiangning Zhang, Yabiao Wang, Cairong Zhao |
| 2024 | Self-Supervised Multi-Modal Knowledge Graph Contrastive Hashing for Cross-Modal Search. MeiYu Liang, Junping Du, Zhengyang Liang, Yongwang Xing, Wei Huang, Zhe Xue |
| 2024 | Self-Supervised Representation Learning with Meta Comprehensive Regularization. Huijie Guo, Ying Ba, Jie Hu, Lingyu Si, Wenwen Qiang, Lei Shi |
| 2024 | Self-Training Based Few-Shot Node Classification by Knowledge Distillation. Zongqian Wu, Yujie Mo, Peng Zhou, Shangbo Yuan, Xiaofeng Zhu |
| 2024 | SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency. Cong Wang, Jinshan Pan, Wanyu Lin, Jiangxin Dong, Wei Wang, Xiao-Ming Wu |
| 2024 | SemLa: A Visual Analysis System for Fine-Grained Text Classification. Munkhtulga Battogtokh, Cosmin Davidescu, Michael Luck, Rita Borgo |
| 2024 | SemTra: A Semantic Skill Translator for Cross-Domain Zero-Shot Policy Adaptation. Sangwoo Shin, Minjong Yoo, Jeongwoo Lee, Honguk Woo |
| 2024 | Semantic Complete Scene Forecasting from a 4D Dynamic Point Cloud Sequence. Zifan Wang, Zhuorui Ye, Haoran Wu, Junyu Chen, Li Yi |
| 2024 | Semantic Lens: Instance-Centric Semantic Alignment for Video Super-resolution. Qi Tang, Yao Zhao, Meiqin Liu, Jian Jin, Chao Yao |
| 2024 | Semantic Segmentation in Multiple Adverse Weather Conditions with Domain Knowledge Retention. Xin Yang, Wending Yan, Yuan Yuan, Michael Bi Mi, Robby T. Tan |
| 2024 | Semantic-Aware Autoregressive Image Modeling for Visual Representation Learning. Kaiyou Song, Shan Zhang, Tong Wang |
| 2024 | Semantic-Aware Data Augmentation for Text-to-Image Synthesis. Zhaorui Tan, Xi Yang, Kaizhu Huang |
| 2024 | Semantic-Aware Transformation-Invariant RoI Align. Guo-Ye Yang, George Kiyohiro Nakayama, Zi-Kai Xiao, Tai-Jiang Mu, Xiaolei Huang, Shi-Min Hu |
| 2024 | Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification. Bohan Li, Xiao Xu, Xinghao Wang, Yutai Hou, Yunlong Feng, Feng Wang, Xuanliang Zhang, Qingfu Zhu, Wanxiang Che |
| 2024 | Semantic-Guided Novel Category Discovery. Weishuai Wang, Ting Lei, Qingchao Chen, Yang Liu |
| 2024 | Semi-Supervised Blind Image Quality Assessment through Knowledge Distillation and Incremental Learning. Wensheng Pan, Timin Gao, Yan Zhang, Xiawu Zheng, Yunhang Shen, Ke Li, Runze Hu, Yutao Liu, Pingyang Dai |
| 2024 | Semi-factual Explanations in AI. Saugat Aryal |
| 2024 | Semi-supervised 3D Object Detection with PatchTeacher and PillarMix. Xiaopei Wu, Liang Peng, Liang Xie, Yuenan Hou, Binbin Lin, Xiaoshui Huang, Haifeng Liu, Deng Cai, Wanli Ouyang |
| 2024 | Semi-supervised Active Learning for Video Action Detection. Ayush Singh, Aayush Jung Rana, Akash Kumar, Shruti Vyas, Yogesh Singh Rawat |
| 2024 | Semi-supervised Class-Agnostic Motion Prediction with Pseudo Label Regeneration and BEVMix. Kewei Wang, Yizheng Wu, Zhiyu Pan, Xingyi Li, Ke Xian, Zhe Wang, Zhiguo Cao, Guosheng Lin |
| 2024 | Semi-supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach. Yu Wang, Yuxuan Yin, Karthik Somayaji N. S., Ján Drgona, Malachi Schram, Mahantesh Halappanavar, Frank Liu, Peng Li |
| 2024 | Semi-supervised Open-World Object Detection. Sahal Shaji Mullappilly, Abhishek Singh Gehlot, Rao Muhammad Anwer, Fahad Shahbaz Khan, Hisham Cholakkal |
| 2024 | Semi-supervised TEE Segmentation via Interacting with SAM Equipped with Noise-Resilient Prompting. Sen Deng, Yidan Feng, Haoneng Lin, Yiting Fan, Alex Pui-Wai Lee, Xiaowei Hu, Jing Qin |
| 2024 | SentinelLMs: Encrypted Input Adaptation and Fine-Tuning of Language Models for Private and Secure Inference. Abhijit Mishra, Mingda Li, Soham Sanjay Deo |
| 2024 | Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation. Xinshuo Hu, Dongfang Li, Baotian Hu, Zihao Zheng, Zhenyu Liu, Min Zhang |
| 2024 | SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Sequence Understanding. Tianyu Yu, Chengyue Jiang, Chao Lou, Shen Huang, Xiaobin Wang, Wei Liu, Jiong Cai, Yangning Li, Yinghui Li, Kewei Tu, Hai-Tao Zheng, Ningyu Zhang, Pengjun Xie, Fei Huang, Yong Jiang |
| 2024 | SeqRank: Sequential Ranking of Salient Objects. Huankang Guan, Rynson W. H. Lau |
| 2024 | Sequential Fusion Based Multi-Granularity Consistency for Space-Time Transformer Tracking. Kun Hu, Wenjing Yang, Wanrong Huang, Xianchen Zhou, Mingyu Cao, Jing Ren, Huibin Tan |
| 2024 | Sequential Model-Based Diagnosis by Systematic Search (Abstract Reprint). Patrick Rodler |
| 2024 | Sequential Modeling of Complex Marine Navigation: Case Study on a Passenger Vessel (Student Abstract). Yimeng Fan, Pedram Agand, Mo Chen, Edward J. Park, Allison Kennedy, Chanwoo Bae |
| 2024 | Set Prediction Guided by Semantic Concepts for Diverse Video Captioning. Yifan Lu, Ziqi Zhang, Chunfeng Yuan, Peng Li, Yan Wang, Bing Li, Weiming Hu |
| 2024 | Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing. Haobin Jiang, Ziluo Ding, Zongqing Lu |
| 2024 | Several Stories about High-Multiplicity EFx Allocation (Student Abstract). Nikita Morozov, Artur Ignatiev, Yuriy Dementiev |
| 2024 | Shadow Generation with Decomposed Mask Prediction and Attentive Shadow Filling. Xinhao Tao, Junyan Cao, Yan Hong, Li Niu |
| 2024 | Shallow Diffusion for Fast Speech Enhancement (Student Abstract). Yue Lei, Bin Chen, Wenxin Tai, Ting Zhong, Fan Zhou |
| 2024 | ShapeBoost: Boosting Human Shape Estimation with Part-Based Parameterization and Clothing-Preserving Augmentation. Siyuan Bian, Jiefeng Li, Jiasheng Tang, Cewu Lu |
| 2024 | Shaping Up SHAP: Enhancing Stability through Layer-Wise Neighbor Selection. Gwladys Kelodjou, Laurence Rozé, Véronique Masson, Luis Galárraga, Romaric Gaudel, Maurice Tchuenté, Alexandre Termier |
| 2024 | ShareBERT: Embeddings Are Capable of Learning Hidden Layers. Jia-Cheng Hu, Roberto Cavicchioli, Giulia Berardinelli, Alessandro Capotondi |
| 2024 | Sharpness-Aware Model-Agnostic Long-Tailed Domain Generalization. Houcheng Su, Weihao Luo, Daixian Liu, Mengzhu Wang, Jing Tang, Junyang Chen, Cong Wang, Zhenghan Chen |
| 2024 | Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Networks. Yongqi Ding, Lin Zuo, Mengmeng Jing, Pei He, Yongjun Xiao |
| 2024 | Shuffled Deep Regression. Masahiro Kohjima |
| 2024 | SiMA-Hand: Boosting 3D Hand-Mesh Reconstruction by Single-to-Multi-View Adaptation. Yinqiao Wang, Hao Xu, Pheng-Ann Heng, Chi-Wing Fu |
| 2024 | Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-Time Dynamics. Lanlan Chen, Kai Wu, Jian Lou, Jing Liu |
| 2024 | Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees (Abstract Reprint). Kai-Chieh Hsu, Allen Z. Ren, Duy Phuong Nguyen, Anirudha Majumdar, Jaime F. Fisac |
| 2024 | SimCS: Simulation for Domain Incremental Online Continual Segmentation. Motasem Alfarra, Zhipeng Cai, Adel Bibi, Bernard Ghanem, Matthias Müller |
| 2024 | SimCalib: Graph Neural Network Calibration Based on Similarity between Nodes. Boshi Tang, Zhiyong Wu, Xixin Wu, Qiaochu Huang, Jun Chen, Shun Lei, Helen Meng |
| 2024 | SimDistill: Simulated Multi-Modal Distillation for BEV 3D Object Detection. Haimei Zhao, Qiming Zhang, Shanshan Zhao, Zhe Chen, Jing Zhang, Dacheng Tao |
| 2024 | SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models. Zhihao Wang, Yiqun Xie, Zhili Li, Xiaowei Jia, Zhe Jiang, Aolin Jia, Shuo Xu |
| 2024 | SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation. Hyun Ryu, Sunjae Yoon, Hee Suk Yoon, Eunseop Yoon, Chang D. Yoo |
| 2024 | Simple Image-Level Classification Improves Open-Vocabulary Object Detection. Ruohuan Fang, Guansong Pang, Xiao Bai |
| 2024 | Simple Orthogonal Graph Representation Learning (Student Abstract). Taoyong Cui, Yuhan Dong |
| 2024 | Simple Weak Coresets for Non-decomposable Classification Measures. Jayesh Malaviya, Anirban Dasgupta, Rachit Chhaya |
| 2024 | Simplicity Bias in Overparameterized Machine Learning. Yakir Berchenko |
| 2024 | Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice. Idan Lev-Yehudi, Moran Barenboim, Vadim Indelman |
| 2024 | Simultaneous Optimization of Bid Shading and Internal Auction for Demand-Side Platforms. Yadong Xu, Bonan Ni, Weiran Shen, Xun Wang, Zichen Wang, Yinsong Xue, Pingzhong Tang |
| 2024 | Situation-Dependent Causal Influence-Based Cooperative Multi-Agent Reinforcement Learning. Xiao Du, Yutong Ye, Pengyu Zhang, Yaning Yang, Mingsong Chen, Ting Wang |
| 2024 | SkeletonGait: Gait Recognition Using Skeleton Maps. Chao Fan, Jingzhe Ma, Dongyang Jin, Chuanfu Shen, Shiqi Yu |
| 2024 | Sketch and Refine: Towards Fast and Accurate Lane Detection. Chao Chen, Jie Liu, Chang Zhou, Jie Tang, Gangshan Wu |
| 2024 | Sketched Newton Value Iteration for Large-Scale Markov Decision Processes. Jinsong Liu, Chenghan Xie, Qi Deng, Dongdong Ge, Yinyu Ye |
| 2024 | SkillCLIP: Skill Aware Modality Fusion Visual Question Answering (Student Abstract). Atharva Naik, Yash Parag Butala, Navaneethan Vaikunthan, Raghav Kapoor |
| 2024 | Skip-GANomaly++: Skip Connections and Residual Blocks for Anomaly Detection (Student Abstract). Juneyoung Park, Jae-Ryung Hong, Min-Hye Kim, Tae-Joon Kim |
| 2024 | SkipDiff: Adaptive Skip Diffusion Model for High-Fidelity Perceptual Image Super-resolution. Xiaotong Luo, Yuan Xie, Yanyun Qu, Yun Fu |
| 2024 | SkyScript: A Large and Semantically Diverse Vision-Language Dataset for Remote Sensing. Zhecheng Wang, Rajanie Prabha, Tianyuan Huang, Jiajun Wu, Ram Rajagopal |
| 2024 | Sleep-Like Unsupervised Replay Improves Performance When Data Are Limited or Unbalanced (Student Abstract). Anthony Bazhenov, Pahan Dewasurendra, Giri P. Krishnan, Jean Erik Delanois |
| 2024 | SlowTrack: Increasing the Latency of Camera-Based Perception in Autonomous Driving Using Adversarial Examples. Chen Ma, Ningfei Wang, Qi Alfred Chen, Chao Shen |
| 2024 | Small Language Model Can Self-Correct. Haixia Han, Jiaqing Liang, Jie Shi, Qianyu He, Yanghua Xiao |
| 2024 | Social Physics Informed Diffusion Model for Crowd Simulation. Hongyi Chen, Jingtao Ding, Yong Li, Yue Wang, Xiao-Ping Zhang |
| 2024 | Social, Legal, Ethical, Empathetic, and Cultural Rules: Compilation and Reasoning. Nicolas Troquard, Martina De Sanctis, Paola Inverardi, Patrizio Pelliccione, Gian Luca Scoccia |
| 2024 | Social-Aware Group Display Configuration in VR Conference. Bay-Yuan Hsu, Chih-Ya Shen, Hao Shan Yuan, Wang-Chien Lee, De-Nian Yang |
| 2024 | SocialCVAE: Predicting Pedestrian Trajectory via Interaction Conditioned Latents. Wei Xiang, Haoteng Yin, He Wang, Xiaogang Jin |
| 2024 | SocialStigmaQA: A Benchmark to Uncover Stigma Amplification in Generative Language Models. Manish Nagireddy, Lamogha Chiazor, Moninder Singh, Ioana Baldini |
| 2024 | SoftCLIP: Softer Cross-Modal Alignment Makes CLIP Stronger. Yuting Gao, Jinfeng Liu, Zihan Xu, Tong Wu, Enwei Zhang, Ke Li, Jie Yang, Wei Liu, Xing Sun |
| 2024 | Solar Power Generation Forecasting via Multimodal Feature Fusion (Student Abstract). Eul Ka, Seungeun Go, Minjin Kwak, Jeong-Hun Kim, Aziz Nasridinov |
| 2024 | Solving Non-rectangular Reward-Robust MDPs via Frequency Regularization. Uri Gadot, Esther Derman, Navdeep Kumar, Maxence Mohamed Elfatihi, Kfir Levy, Shie Mannor |
| 2024 | Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration with Provable Guarantees. Jinzhao Li, Nan Jiang, Yexiang Xue |
| 2024 | Solving Spectrum Unmixing as a Multi-Task Bayesian Inverse Problem with Latent Factors for Endmember Variability. Dong Wu, Mingmin Chi, Xuan Zang, Bo Peng |
| 2024 | Some Like It Small: Czech Semantic Embedding Models for Industry Applications. Jirí Bednár, Jakub Náplava, Petra Barancíková, Ondrej Lisický |
| 2024 | SoundCount: Sound Counting from Raw Audio with Dyadic Decomposition Neural Network. Yuhang He, Zhuangzhuang Dai, Niki Trigoni, Long Chen, Andrew Markham |
| 2024 | SpFormer: Spatio-Temporal Modeling for Scanpaths with Transformer. Wenqi Zhong, Linzhi Yu, Chen Xia, Junwei Han, Dingwen Zhang |
| 2024 | SpaceGTN: A Time-Agnostic Graph Transformer Network for Handwritten Diagram Recognition and Segmentation. Haoxiang Hu, Cangjun Gao, Yaokun Li, Xiaoming Deng, Yu-Kun Lai, Cuixia Ma, Yong-Jin Liu, Hongan Wang |
| 2024 | Span Graph Transformer for Document-Level Named Entity Recognition. Hongli Mao, Xian-Ling Mao, Hanlin Tang, Yuming Shang, Heyan Huang |
| 2024 | Spanning the Spectrum of Hatred Detection: A Persian Multi-Label Hate Speech Dataset with Annotator Rationales. Zahra Delbari, Nafise Sadat Moosavi, Mohammad Taher Pilehvar |
| 2024 | Sparse Bayesian Deep Learning for Cross Domain Medical Image Reconstruction. Jiaxin Huang, Qi Wu, Yazhou Ren, Fan Yang, Aodi Yang, Qianqian Yang, Xiaorong Pu |
| 2024 | Sparse Enhanced Network: An Adversarial Generation Method for Robust Augmentation in Sequential Recommendation. Junyang Chen, Guoxuan Zou, Pan Zhou, Yirui Wu, Zhenghan Chen, Houcheng Su, Huan Wang, Zhiguo Gong |
| 2024 | Sparse Variational Student-t Processes. Jian Xu, Delu Zeng |
| 2024 | Sparse3D: Distilling Multiview-Consistent Diffusion for Object Reconstruction from Sparse Views. Zixin Zou, Weihao Cheng, Yan-Pei Cao, Shi-Sheng Huang, Ying Shan, Song-Hai Zhang |
| 2024 | SparseGNV: Generating Novel Views of Indoor Scenes with Sparse RGB-D Images. Weihao Cheng, Yan-Pei Cao, Ying Shan |
| 2024 | Sparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention. Zhen Tan, Tianlong Chen, Zhenyu Zhang, Huan Liu |
| 2024 | Spatial Transform Decoupling for Oriented Object Detection. Hongtian Yu, Yunjie Tian, Qixiang Ye, Yunfan Liu |
| 2024 | Spatial Voting with Incomplete Voter Information. Aviram Imber, Jonas Israel, Markus Brill, Hadas Shachnai, Benny Kimelfeld |
| 2024 | Spatial-Contextual Discrepancy Information Compensation for GAN Inversion. Ziqiang Zhang, Yan Yan, Jing-Hao Xue, Hanzi Wang |
| 2024 | Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery. Zelin Xu, Tingsong Xiao, Wenchong He, Yu Wang, Zhe Jiang, Shigang Chen, Yiqun Xie, Xiaowei Jia, Da Yan, Yang Zhou |
| 2024 | Spatial-Related Sensors Matters: 3D Human Motion Reconstruction Assisted with Textual Semantics. Xueyuan Yang, Chao Yao, Xiaojuan Ban |
| 2024 | Spatial-Semantic Collaborative Cropping for User Generated Content. Yukun Su, Yiwen Cao, Jingliang Deng, Fengyun Rao, Qingyao Wu |
| 2024 | Spatial-Temporal Augmentation for Crime Prediction (Student Abstract). Hongzhu Fu, Fan Zhou, Qing Guo, Qiang Gao |
| 2024 | Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hypergraph Representation. Zhaofan Zhang, Yanan Xiao, Lu Jiang, Dingqi Yang, Minghao Yin, Pengyang Wang |
| 2024 | Spatio-Temporal Fusion for Human Action Recognition via Joint Trajectory Graph. Yaolin Zheng, Hongbo Huang, Xiuying Wang, Xiaoxu Yan, Longfei Xu |
| 2024 | Spatio-Temporal Pivotal Graph Neural Networks for Traffic Flow Forecasting. Weiyang Kong, Ziyu Guo, Yubao Liu |
| 2024 | Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs. Dongjin Lee, Juho Lee, Kijung Shin |
| 2024 | Spectral Prompt Tuning: Unveiling Unseen Classes for Zero-Shot Semantic Segmentation. Wenhao Xu, Rongtao Xu, Changwei Wang, Shibiao Xu, Li Guo, Man Zhang, Xiaopeng Zhang |
| 2024 | Spectral-Based Graph Neural Networks for Complementary Item Recommendation. Haitong Luo, Xuying Meng, Suhang Wang, Hanyun Cao, Weiyao Zhang, Yequan Wang, Yujun Zhang |
| 2024 | SpectralNeRF: Physically Based Spectral Rendering with Neural Radiance Field. Ru Li, Jia Liu, Guanghui Liu, Shengping Zhang, Bing Zeng, Shuaicheng Liu |
| 2024 | Spectrum Translation for Refinement of Image Generation (STIG) Based on Contrastive Learning and Spectral Filter Profile. Seokjun Lee, Seung-Won Jung, Hyunseok Seo |
| 2024 | SphereDiffusion: Spherical Geometry-Aware Distortion Resilient Diffusion Model. Tao Wu, Xuewei Li, Zhongang Qi, Di Hu, Xintao Wang, Ying Shan, Xi Li |
| 2024 | Spherical Pseudo-Cylindrical Representation for Omnidirectional Image Super-resolution. Qing Cai, Mu Li, Dongwei Ren, Jun Lyu, Haiyong Zheng, Junyu Dong, Yee-Hong Yang |
| 2024 | Spiking NeRF: Representing the Real-World Geometry by a Discontinuous Representation. Zhanfeng Liao, Yan Liu, Qian Zheng, Gang Pan |
| 2024 | SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentiation. Malyaban Bal, Abhronil Sengupta |
| 2024 | Spot the Error: Non-autoregressive Graphic Layout Generation with Wireframe Locator. Jieru Lin, Danqing Huang, Tiejun Zhao, Dechen Zhan, Chin-Yew Lin |
| 2024 | Spotting the Unseen: Reciprocal Consensus Network Guided by Visual Archetypes. Wenbo Hu, Hongjian Zhan, Xinchen Ma, Yue Lu, Ching Y. Suen |
| 2024 | Stability Analysis of Switched Linear Systems with Neural Lyapunov Functions. Virginie Debauche, Alec Edwards, Raphaël M. Jungers, Alessandro Abate |
| 2024 | Stability in Online Coalition Formation. Martin Bullinger, René Romen |
| 2024 | Stability of Multi-Agent Learning in Competitive Networks: Delaying the Onset of Chaos. Aamal Abbas Hussain, Francesco Belardinelli |
| 2024 | Stable Matchings in Practice: A Constraint Programming Approach. Zhaohong Sun, Naoyuki Yamada, Yoshihiro Takenami, Daisuke Moriwaki, Makoto Yokoo |
| 2024 | Stable Model Semantics for Description Logic Terminologies. Federica Di Stefano, Mantas Simkus |
| 2024 | Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise. Yixin Liu, Kaidi Xu, Xun Chen, Lichao Sun |
| 2024 | Statistical Spatially Inhomogeneous Diffusion Inference. Yinuo Ren, Yiping Lu, Lexing Ying, Grant M. Rotskoff |
| 2024 | Statistically Principled Deep Learning for SAR Image Segmentation. Cassandra Goldberg |
| 2024 | Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits. Zhiwei Wang, Huazheng Wang, Hongning Wang |
| 2024 | StegFormer: Rebuilding the Glory of Autoencoder-Based Steganography. Xiao Ke, Huanqi Wu, Wenzhong Guo |
| 2024 | StegaStyleGAN: Towards Generic and Practical Generative Image Steganography. Wenkang Su, Jiangqun Ni, Yiyan Sun |
| 2024 | Step Vulnerability Guided Mean Fluctuation Adversarial Attack against Conditional Diffusion Models. Hongwei Yu, Jiansheng Chen, Xinlong Ding, Yudong Zhang, Ting Tang, Huimin Ma |
| 2024 | Stereo Vision Conversion from Planar Videos Based on Temporal Multiplane Images. Shanding Diao, Yuan Chen, Yang Zhao, Wei Jia, Zhao Zhang, Ronggang Wang |
| 2024 | Sterling: Synergistic Representation Learning on Bipartite Graphs. Baoyu Jing, Yuchen Yan, Kaize Ding, Chanyoung Park, Yada Zhu, Huan Liu, Hanghang Tong |
| 2024 | Stitching Segments and Sentences towards Generalization in Video-Text Pre-training. Fan Ma, Xiaojie Jin, Heng Wang, Jingjia Huang, Linchao Zhu, Yi Yang |
| 2024 | Stitching Sub-trajectories with Conditional Diffusion Model for Goal-Conditioned Offline RL. Sungyoon Kim, Yunseon Choi, Daiki E. Matsunaga, Kee-Eung Kim |
| 2024 | Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation. Xiaobin Huang, Lei Song, Ke Xue, Chao Qian |
| 2024 | StockMixer: A Simple Yet Strong MLP-Based Architecture for Stock Price Forecasting. Jinyong Fan, Yanyan Shen |
| 2024 | Stop! Planner Time: Metareasoning for Probabilistic Planning Using Learned Performance Profiles. Matthew Budd, Bruno Lacerda, Nick Hawes |
| 2024 | Strategic Recommendation: Revenue Optimal Matching for Online Platforms (Student Abstract). Luca D'Amico-Wong, Gary Qiurui Ma, David C. Parkes |
| 2024 | Strategyproof Mechanisms for Group-Fair Obnoxious Facility Location Problems. Jiaqian Li, Minming Li, Hau Chan |
| 2024 | Stratified GNN Explanations through Sufficient Expansion. Yuwen Ji, Lei Shi, Zhimeng Liu, Ge Wang |
| 2024 | Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning. Samyadeep Basu, Shell Xu Hu, Daniela Massiceti, Soheil Feizi |
| 2024 | Stronger and Transferable Node Injection Attacks. Samyak Jain, Tanima Dutta |
| 2024 | Structural Entropy Based Graph Structure Learning for Node Classification. Liang Duan, Xiang Chen, Wenjie Liu, Daliang Liu, Kun Yue, Angsheng Li |
| 2024 | Structural Information Enhanced Graph Representation for Link Prediction. Lei Shi, Bin Hu, Deng Zhao, Jianshan He, Zhiqiang Zhang, Jun Zhou |
| 2024 | Structural Information Guided Multimodal Pre-training for Vehicle-Centric Perception. Xiao Wang, Wentao Wu, Chenglong Li, Zhicheng Zhao, Zhe Chen, Yukai Shi, Jin Tang |
| 2024 | Structurally Guided Task Decomposition in Spatial Navigation Tasks (Student Abstract). Ruiqi He, Carlos G. Correa, Tom Griffiths, Mark K. Ho |
| 2024 | Structure-Aware Multimodal Sequential Learning for Visual Dialog. Young-Jin Kim, Min-Jun Kim, Kyunghwan An, Jinwoo Ahn, Jaeseok Kim, Yu-Jung Heo, Du-Seong Chang, Eun-Sol Kim |
| 2024 | Structure-CLIP: Towards Scene Graph Knowledge to Enhance Multi-Modal Structured Representations. Yufeng Huang, Jiji Tang, Zhuo Chen, Rongsheng Zhang, Xinfeng Zhang, Weijie Chen, Zeng Zhao, Zhou Zhao, Tangjie Lv, Zhipeng Hu, Wen Zhang |
| 2024 | Structured Probabilistic Coding. Dou Hu, Lingwei Wei, Yaxin Liu, Wei Zhou, Songlin Hu |
| 2024 | Students' Perceptions and Preferences of Generative Artificial Intelligence Feedback for Programming. Zhengdong Zhang, Zihan Dong, Yang Shi, Thomas W. Price, Noboru Matsuda, Dongkuan Xu |
| 2024 | Style2Talker: High-Resolution Talking Head Generation with Emotion Style and Art Style. Shuai Tan, Bin Ji, Ye Pan |
| 2024 | StyleSinger: Style Transfer for Out-of-Domain Singing Voice Synthesis. Yu Zhang, Rongjie Huang, Ruiqi Li, Jinzheng He, Yan Xia, Feiyang Chen, Xinyu Duan, Baoxing Huai, Zhou Zhao |
| 2024 | Submodel Enumeration for CTL Is Hard. Nicolas Fröhlich, Arne Meier |
| 2024 | Successive POI Recommendation via Brain-Inspired Spatiotemporal Aware Representation. Gehua Ma, He Wang, Jingyuan Zhao, Rui Yan, Huajin Tang |
| 2024 | Summarizing Stream Data for Memory-Constrained Online Continual Learning. Jianyang Gu, Kai Wang, Wei Jiang, Yang You |
| 2024 | Sunshine to Rainstorm: Cross-Weather Knowledge Distillation for Robust 3D Object Detection. Xun Huang, Hai Wu, Xin Li, Xiaoliang Fan, Chenglu Wen, Cheng Wang |
| 2024 | SuperJunction: Learning-Based Junction Detection for Retinal Image Registration. Yu Wang, Xiaoye Wang, Zaiwang Gu, Weide Liu, Wee Siong Ng, Weimin Huang, Jun Cheng |
| 2024 | Superposed Atomic Representation for Robust High-Dimensional Data Recovery of Multiple Low-Dimensional Structures. Yulong Wang |
| 2024 | Supervision Interpolation via LossMix: Generalizing Mixup for Object Detection and Beyond. Thanh Vu, Baochen Sun, Bodi Yuan, Alex Ngai, Yueqi Li, Jan-Michael Frahm |
| 2024 | Supporting Upper Elementary Students in Learning AI Concepts with Story-Driven Game-Based Learning. Anisha Gupta, Seung Y. Lee, Bradford W. Mott, Srijita Chakraburty, Krista D. Glazewski, Anne T. Ottenbreit-Leftwich, J. Adam Scribner, Cindy E. Hmelo-Silver, James C. Lester |
| 2024 | Suppressing Uncertainty in Gaze Estimation. Shijing Wang, Yaping Huang |
| 2024 | SurgicalSAM: Efficient Class Promptable Surgical Instrument Segmentation. Wenxi Yue, Jing Zhang, Kun Hu, Yong Xia, Jiebo Luo, Zhiyong Wang |
| 2024 | Sustainability of Data Center Digital Twins with Reinforcement Learning. Soumyendu Sarkar, Avisek Naug, Antonio Guillen, Ricardo Luna, Vineet Gundecha, Ashwin Ramesh Babu, Sajad Mousavi |
| 2024 | Swift-Mapping: Online Neural Implicit Dense Mapping in Urban Scenes. Ke Wu, Kaizhao Zhang, Mingzhe Gao, Jieru Zhao, Zhongxue Gan, Wenchao Ding |
| 2024 | SwiftPillars: High-Efficiency Pillar Encoder for Lidar-Based 3D Detection. Xin Jin, Kai Liu, Cong Ma, Ruining Yang, Fei Hui, Wei Wu |
| 2024 | SwitchTab: Switched Autoencoders Are Effective Tabular Learners. Jing Wu, Suiyao Chen, Qi Zhao, Renat Sergazinov, Chen Li, Shengjie Liu, Chongchao Zhao, Tianpei Xie, Hanqing Guo, Cheng Ji, Daniel Cociorva, Hakan Brunzell |
| 2024 | SyFormer: Structure-Guided Synergism Transformer for Large-Portion Image Inpainting. Jie Wu, Yuchao Feng, Honghui Xu, Chuanmeng Zhu, Jianwei Zheng |
| 2024 | Symbol Description Reading. Karol Lynch, Bradley Eck, Joern Ploennigs |
| 2024 | Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems. Junhao Shen, Hong Qian, Wei Zhang, Aimin Zhou |
| 2024 | Symbolic Numeric Planning with Patterns. Matteo Cardellini, Enrico Giunchiglia, Marco Maratea |
| 2024 | Symbolic Reasoning Methods for AI Planning. Gregor Behnke |
| 2024 | Symbolic Regression Enhanced Decision Trees for Classification Tasks. Kei Sen Fong, Mehul Motani |
| 2024 | Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning. Motoki Omura, Takayuki Osa, Yusuke Mukuta, Tatsuya Harada |
| 2024 | Symmetric Self-Paced Learning for Domain Generalization. Di Zhao, Yun Sing Koh, Gillian Dobbie, Hongsheng Hu, Philippe Fournier-Viger |
| 2024 | Sync-NeRF: Generalizing Dynamic NeRFs to Unsynchronized Videos. Seoha Kim, Jeongmin Bae, Youngsik Yun, Hahyun Lee, Gun Bang, Youngjung Uh |
| 2024 | Synergistic Anchored Contrastive Pre-training for Few-Shot Relation Extraction. Da Luo, Yanglei Gan, Rui Hou, Run Lin, Qiao Liu, Yuxiang Cai, Wannian Gao |
| 2024 | Synergistic Multiscale Detail Refinement via Intrinsic Supervision for Underwater Image Enhancement. Dehuan Zhang, Jingchun Zhou, Chunle Guo, Weishi Zhang, Chongyi Li |
| 2024 | T-NET: Weakly Supervised Graph Learning for Combatting Human Trafficking. Pratheeksha Nair, Javin Liu, Catalina Vajiac, Andreas M. Olligschlaeger, Duen Horng Chau, Mirela T. Cazzolato, Cara Jones, Christos Faloutsos, Reihaneh Rabbany |
| 2024 | T-SciQ: Teaching Multimodal Chain-of-Thought Reasoning via Large Language Model Signals for Science Question Answering. Lei Wang, Yi Hu, Jiabang He, Xing Xu, Ning Liu, Hui Liu, Heng Tao Shen |
| 2024 | T2I-Adapter: Learning Adapters to Dig Out More Controllable Ability for Text-to-Image Diffusion Models. Chong Mou, Xintao Wang, Liangbin Xie, Yanze Wu, Jian Zhang, Zhongang Qi, Ying Shan |
| 2024 | T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration. Chuxiong Sun, Zehua Zang, Jiabao Li, Jiangmeng Li, Xiao Xu, Rui Wang, Changwen Zheng |
| 2024 | TA&AT: Enhancing Task-Oriented Dialog with Turn-Level Auxiliary Tasks and Action-Tree Based Scheduled Sampling. Longxiang Liu, Xiuxing Li, Yang Feng |
| 2024 | TACIT: A Target-Agnostic Feature Disentanglement Framework for Cross-Domain Text Classification. Rui Song, Fausto Giunchiglia, Yingji Li, Mingjie Tian, Hao Xu |
| 2024 | TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient. Xingzhou Lou, Junge Zhang, Timothy J. Norman, Kaiqi Huang, Yali Du |
| 2024 | TAU: Trajectory Data Augmentation with Uncertainty for Next POI Recommendation. Zhuang Zhuang, Tianxin Wei, Lingbo Liu, Heng Qi, Yanming Shen, Baocai Yin |
| 2024 | TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling. Shimin Zhang, Qu Yang, Chenxiang Ma, Jibin Wu, Haizhou Li, Kay Chen Tan |
| 2024 | TCI-Former: Thermal Conduction-Inspired Transformer for Infrared Small Target Detection. Tianxiang Chen, Zhentao Tan, Qi Chu, Yue Wu, Bin Liu, Nenghai Yu |
| 2024 | TCNet: Continuous Sign Language Recognition from Trajectories and Correlated Regions. Hui Lu, Albert Ali Salah, Ronald Poppe |
| 2024 | TDeLTA: A Light-Weight and Robust Table Detection Method Based on Learning Text Arrangement. Yang Fan, Xiangping Wu, Qingcai Chen, Heng Li, Yan Huang, Zhixiang Cai, Qitian Wu |
| 2024 | TD²-Net: Toward Denoising and Debiasing for Video Scene Graph Generation. Xin Lin, Chong Shi, Yibing Zhan, Zuopeng Yang, Yaqi Wu, Dacheng Tao |
| 2024 | TEAMSTER: Model-Based Reinforcement Learning for Ad Hoc Teamwork (Abstract Reprint). João G. Ribeiro, Gonçalo Rodrigues, Alberto Sardinha, Francisco S. Melo |
| 2024 | TEILP: Time Prediction over Knowledge Graphs via Logical Reasoning. Siheng Xiong, Yuan Yang, Ali Payani, James Clayton Kerce, Faramarz Fekri |
| 2024 | TETRIS: Towards Exploring the Robustness of Interactive Segmentation. Andrey Moskalenko, Vlad Shakhuro, Anna Vorontsova, Anton Konushin, Anton Antonov, Alexander Krapukhin, Denis Shepelev, Konstantin Soshin |
| 2024 | TF-CLIP: Learning Text-Free CLIP for Video-Based Person Re-identification. Chenyang Yu, Xuehu Liu, Yingquan Wang, Pingping Zhang, Huchuan Lu |
| 2024 | THGFormer: Time-Aware Hypergraph Learning for Multimodal Social Media Popularity Prediction (Student Abstract). Jienan Zhang, Jie Liu, Zhangtao Cheng, Xovee Xu, Fang Liu, Ting Zhong, Kunpeng Zhang |
| 2024 | TIKP: Text-to-Image Knowledge Preservation for Continual Semantic Segmentation. Zhidong Yu, Wei Yang, Xike Xie, Zhenbo Shi |
| 2024 | TMFormer: Token Merging Transformer for Brain Tumor Segmentation with Missing Modalities. Zheyu Zhang, Gang Yang, Yueyi Zhang, Huanjing Yue, Aiping Liu, Yunwei Ou, Jian Gong, Xiaoyan Sun |
| 2024 | TMPNN: High-Order Polynomial Regression Based on Taylor Map Factorization. Andrei Ivanov, Stefan Maria Ailuro |
| 2024 | TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences. Yuequn Liu, Ruichu Cai, Wei Chen, Jie Qiao, Yuguang Yan, Zijian Li, Keli Zhang, Zhifeng Hao |
| 2024 | TOP-ReID: Multi-Spectral Object Re-identification with Token Permutation. Yuhao Wang, Xuehu Liu, Pingping Zhang, Hu Lu, Zhengzheng Tu, Huchuan Lu |
| 2024 | TR-DETR: Task-Reciprocal Transformer for Joint Moment Retrieval and Highlight Detection. Hao Sun, Mingyao Zhou, Wenjing Chen, Wei Xie |
| 2024 | TREE-G: Decision Trees Contesting Graph Neural Networks. Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach |
| 2024 | TTTS: Tree Test Time Simulation for Enhancing Decision Tree Robustness against Adversarial Examples. Seffi Cohen, Ofir Arbili, Yisroel Mirsky, Lior Rokach |
| 2024 | Tackling Vision Language Tasks through Learning Inner Monologues. Diji Yang, Kezhen Chen, Jinmeng Rao, Xiaoyuan Guo, Yawen Zhang, Jie Yang, Yi Zhang |
| 2024 | TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP without Training. Yuqi Lin, Minghao Chen, Kaipeng Zhang, Hengjia Li, Mingming Li, Zheng Yang, Dongqin Lv, Binbin Lin, Haifeng Liu, Deng Cai |
| 2024 | TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution Detection. Jiankang Chen, Tong Zhang, Wei-Shi Zheng, Ruixuan Wang |
| 2024 | Tail-STEAK: Improve Friend Recommendation for Tail Users via Self-Training Enhanced Knowledge Distillation. Yijun Ma, Chaozhuo Li, Xiao Zhou |
| 2024 | Talk Funny! A Large-Scale Humor Response Dataset with Chain-of-Humor Interpretation. Yuyan Chen, Yichen Yuan, Panjun Liu, Dayiheng Liu, Qinghao Guan, Mengfei Guo, Haiming Peng, Bang Liu, Zhixu Li, Yanghua Xiao |
| 2024 | Taming Binarized Neural Networks and Mixed-Integer Programs. Johannes Aspman, Georgios Korpas, Jakub Marecek |
| 2024 | Taming the Sigmoid Bottleneck: Provably Argmaxable Sparse Multi-Label Classification. Andreas Grivas, Antonio Vergari, Adam Lopez |
| 2024 | Target Focused Shallow Transformer Framework for Efficient Visual Tracking. Md. Maklachur Rahman |
| 2024 | Target-Free Domain Adaptation through Cross-Adaptation (Student Abstract). Aleksander Obuchowski, Barbara Klaudel, Piotr Frackowski, Sebastian Krajna, Wasyl Badyra, Michal Czubenko, Zdzislaw Kowalczuk |
| 2024 | Targeted Activation Penalties Help CNNs Ignore Spurious Signals. Dekai Zhang, Matt Williams, Francesca Toni |
| 2024 | Task Contamination: Language Models May Not Be Few-Shot Anymore. Changmao Li, Jeffrey Flanigan |
| 2024 | Task Planning for Object Rearrangement in Multi-Room Environments. Karan Mirakhor, Sourav Ghosh, Dipanjan Das, Brojeshwar Bhowmick |
| 2024 | Task-Adaptive Prompted Transformer for Cross-Domain Few-Shot Learning. Jiamin Wu, Xin Liu, Xiaotian Yin, Tianzhu Zhang, Yongdong Zhang |
| 2024 | Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning against Attribute Inference Attacks. Caridad Arroyo Arevalo, Sayedeh Leila Noorbakhsh, Yun Dong, Yuan Hong, Binghui Wang |
| 2024 | Task-Disruptive Background Suppression for Few-Shot Segmentation. Suho Park, Su Been Lee, Sangeek Hyun, Hyun Seok Seong, Jae-Pil Heo |
| 2024 | Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction. Zhixuan Chu, Mengxuan Hu, Qing Cui, Longfei Li, Sheng Li |
| 2024 | Task-Free Continual Generation and Representation Learning via Dynamic Expansionable Memory Cluster. Fei Ye, Adrian G. Bors |
| 2024 | Task-Free Dynamic Sparse Vision Transformer for Continual Learning. Fei Ye, Adrian G. Bors |
| 2024 | TaskLAMA: Probing the Complex Task Understanding of Language Models. Quan Yuan, Mehran Kazemi, Xin Xu, Isaac Noble, Vaiva Imbrasaite, Deepak Ramachandran |
| 2024 | Taxonomy Driven Fast Adversarial Training. Kun Tong, Chengze Jiang, Jie Gui, Yuan Cao |
| 2024 | Teacher as a Lenient Expert: Teacher-Agnostic Data-Free Knowledge Distillation. Hyunjune Shin, Dong-Wan Choi |
| 2024 | Teaching Large Language Models to Translate with Comparison. Jiali Zeng, Fandong Meng, Yongjing Yin, Jie Zhou |
| 2024 | TelTrans: Applying Multi-Type Telecom Data to Transportation Evaluation and Prediction via Multifaceted Graph Modeling. ChungYi Lin, Shen-Lung Tung, Hung-Ting Su, Winston H. Hsu |
| 2024 | Tell Me What Is Good about This Property: Leveraging Reviews for Segment-Personalized Image Collection Summarization. Monika Wysoczanska, Moran Beladev, Karen Lastmann Assaraf, Fengjun Wang, Ofri Kleinfeld, Gil Amsalem, Hadas Harush Boker |
| 2024 | Temporal Adaptive RGBT Tracking with Modality Prompt. Hongyu Wang, Xiaotao Liu, Yifan Li, Meng Sun, Dian Yuan, Jing Liu |
| 2024 | Temporal Correlation Vision Transformer for Video Person Re-Identification. Pengfei Wu, Le Wang, Sanping Zhou, Gang Hua, Changyin Sun |
| 2024 | Temporal Dependencies and Spatio-Temporal Patterns of Time Series Models. Md. Khairul Islam |
| 2024 | Temporal Fairness in Multiwinner Voting. Edith Elkind, Svetlana Obraztsova, Nicholas Teh |
| 2024 | Temporal Graph Contrastive Learning for Sequential Recommendation. Shengzhe Zhang, Liyi Chen, Chao Wang, Shuangli Li, Hui Xiong |
| 2024 | Temporal Logic Explanations for Dynamic Decision Systems Using Anchors and Monte Carlo Tree Search (Abstract Reprint). Tzu-Yi Chiu, Jerome Le Ny, Jean-Pierre David |
| 2024 | Temporal-Distributed Backdoor Attack against Video Based Action Recognition. Xi Li, Songhe Wang, Ruiquan Huang, Mahanth Gowda, George Kesidis |
| 2024 | Temporally and Distributionally Robust Optimization for Cold-Start Recommendation. Xinyu Lin, Wenjie Wang, Jujia Zhao, Yongqi Li, Fuli Feng, Tat-Seng Chua |
| 2024 | Tensorized Label Learning on Anchor Graph. Jing Li, Quanxue Gao, Qianqian Wang, Wei Xia |
| 2024 | Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks. Yufei Guo, Yuanpei Chen, Xiaode Liu, Weihang Peng, Yuhan Zhang, Xuhui Huang, Zhe Ma |
| 2024 | Terrain Diffusion Network: Climatic-Aware Terrain Generation with Geological Sketch Guidance. Zexin Hu, Kun Hu, Clinton Mo, Lei Pan, Zhiyong Wang |
| 2024 | Test-Time Adaptation via Style and Structure Guidance for Histological Image Registration. Shenglong Zhou, Zhiwei Xiong, Feng Wu |
| 2024 | Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization. Yanan Wu, Zhixiang Chi, Yang Wang, Konstantinos N. Plataniotis, Songhe Feng |
| 2024 | Test-Time Personalization with Meta Prompt for Gaze Estimation. Huan Liu, Julia Qi, Zhenhao Li, Mohammad Hassanpour, Yang Wang, Konstantinos N. Plataniotis, Yuanhao Yu |
| 2024 | Testing Self-Reducible Samplers. Rishiraj Bhattacharyya, Sourav Chakraborty, Yash Pote, Uddalok Sarkar, Sayantan Sen |
| 2024 | TexFit: Text-Driven Fashion Image Editing with Diffusion Models. Tongxin Wang, Mang Ye |
| 2024 | Text Diffusion with Reinforced Conditioning. Yuxuan Liu, Tianchi Yang, Shaohan Huang, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang |
| 2024 | Text Image Inpainting via Global Structure-Guided Diffusion Models. Shipeng Zhu, Pengfei Fang, Chenjie Zhu, Zuoyan Zhao, Qiang Xu, Hui Xue |
| 2024 | Text-Based Occluded Person Re-identification via Multi-Granularity Contrastive Consistency Learning. Xinyi Wu, Wentao Ma, Dan Guo, Tongqing Zhou, Shan Zhao, Zhiping Cai |
| 2024 | Text-Guided Molecule Generation with Diffusion Language Model. Haisong Gong, Qiang Liu, Shu Wu, Liang Wang |
| 2024 | Text-to-Image Generation for Abstract Concepts. Jiayi Liao, Xu Chen, Qiang Fu, Lun Du, Xiangnan He, Xiang Wang, Shi Han, Dongmei Zhang |
| 2024 | Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries. Xinyi He, Mengyu Zhou, Xinrun Xu, Xiaojun Ma, Rui Ding, Lun Du, Yan Gao, Ran Jia, Xu Chen, Shi Han, Zejian Yuan, Dongmei Zhang |
| 2024 | Text2City: One-Stage Text-Driven Urban Layout Regeneration. Yiming Qin, Nanxuan Zhao, Bin Sheng, Rynson W. H. Lau |
| 2024 | TextGT: A Double-View Graph Transformer on Text for Aspect-Based Sentiment Analysis. Shuo Yin, Guoqiang Zhong |
| 2024 | The Causal Impact of Credit Lines on Spending Distributions. Yijun Li, Cheuk Hang Leung, Xiangqian Sun, Chaoqun Wang, Yiyan Huang, Xing Yan, Qi Wu, Dongdong Wang, Zhixiang Huang |
| 2024 | The Choice of Noninformative Priors for Thompson Sampling in Multiparameter Bandit Models. Jongyeong Lee, Chao-Kai Chiang, Masashi Sugiyama |
| 2024 | The CoachAI Badminton Environment: A Novel Reinforcement Learning Environment with Realistic Opponents (Student Abstract). Kuang-Da Wang, Wei-Yao Wang, Yu-Tse Chen, Yu-Heng Lin, Wen-Chih Peng |
| 2024 | The CoachAI Badminton Environment: Bridging the Gap between a Reinforcement Learning Environment and Real-World Badminton Games. Kuang-Da Wang, Yu-Tse Chen, Yu-Heng Lin, Wei-Yao Wang, Wen-Chih Peng |
| 2024 | The Complexity of Computing Robust Mediated Equilibria in Ordinal Games. Vincent Conitzer |
| 2024 | The Complexity of Fair Division of Indivisible Items with Externalities. Argyrios Deligkas, Eduard Eiben, Viktoriia Korchemna, Simon Schierreich |
| 2024 | The Complexity of Optimizing Atomic Congestion. Cornelius Brand, Robert Ganian, Subrahmanyam Kalyanasundaram, Fionn Mc Inerney |
| 2024 | The Defeat of the Winograd Schema Challenge (Abstract Reprint). Vid Kocijan, Ernest Davis, Thomas Lukasiewicz, Gary Marcus, Leora Morgenstern |
| 2024 | The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution. Yuefei Wu, Bin Shi, Bo Dong, Qinghua Zheng, Hua Wei |
| 2024 | The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank. Amitay Bar, Rotem Mulayoff, Tomer Michaeli, Ronen Talmon |
| 2024 | The Fairness Fair: Bringing Human Perception into Collective Decision-Making. Hadi Hosseini |
| 2024 | The Generalization and Robustness of Transformer-Based Language Models on Commonsense Reasoning. Ke Shen |
| 2024 | The Inhibitor: ReLU and Addition-Based Attention for Efficient Transformers (Student Abstract). Rickard Brännvall |
| 2024 | The Inter-batch Diversity of Samples in Experience Replay for Continual Learning. Andrii Krutsylo |
| 2024 | The Irrelevance of Influencers: Information Diffusion with Re-Activation and Immunity Lasts Exponentially Long on Social Network Models. Tobias Friedrich, Andreas Göbel, Nicolas Klodt, Martin S. Krejca, Marcus Pappik |
| 2024 | The Language Model Can Have the Personality: Joint Learning for Personality Enhanced Language Model (Student Abstract). Tianyi Chen, Feiqi Cao, Yihao Ding, Soyeon Caren Han |
| 2024 | The Logic of Doxastic Strategies. Junli Jiang, Pavel Naumov |
| 2024 | The Moderating Effect of Instant Runoff Voting. Kiran Tomlinson, Johan Ugander, Jon M. Kleinberg |
| 2024 | The Promise of Serverless Computing within Peer-to-Peer Architectures for Distributed ML Training. Amine Barrak |
| 2024 | The Role of Over-Parameterization in Machine Learning - the Good, the Bad, the Ugly. Fanghui Liu |
| 2024 | The Virtual Driving Instructor: Multi-Agent System Collaborating via Knowledge Graph for Scalable Driver Education. Johannes Rehm, Irina Reshodko, Stian Zimmermann Børresen, Odd Erik Gundersen |
| 2024 | Theoretical Aspects of Generating Instances with Unique Solutions: Pre-assignment Models for Unique Vertex Cover. Takashi Horiyama, Yasuaki Kobayashi, Hirotaka Ono, Kazuhisa Seto, Ryu Suzuki |
| 2024 | Theoretical and Empirical Analysis of Cost-Function Merging for Implicit Hitting Set WCSP Solving. Javier Larrosa, Conrado Martínez, Emma Rollon |
| 2024 | Thesis Summary: Operationalizing User-Inclusive Transparency in Artificial Intelligence Systems. Deepa Muralidhar |
| 2024 | Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada Michael J. Wooldridge, Jennifer G. Dy, Sriraam Natarajan |
| 2024 | Thompson Sampling for Real-Valued Combinatorial Pure Exploration of Multi-Armed Bandit. Shintaro Nakamura, Masashi Sugiyama |
| 2024 | Three Heads Are Better than One: Complementary Experts for Long-Tailed Semi-supervised Learning. Chengcheng Ma, Ismail Elezi, Jiankang Deng, Weiming Dong, Changsheng Xu |
| 2024 | Three Heads Are Better than One: Improving Cross-Domain NER with Progressive Decomposed Network. Xuming Hu, Zhaochen Hong, Yong Jiang, Zhichao Lin, Xiaobin Wang, Pengjun Xie, Philip S. Yu |
| 2024 | Threshold-Based Responsive Simulated Annealing for Directed Feedback Vertex Set Problem. Qingyun Zhang, Yuming Du, Zhouxing Su, Chu-Min Li, Junzhou Xu, Zhihuai Chen, Zhipeng Lü |
| 2024 | TiMix: Text-Aware Image Mixing for Effective Vision-Language Pre-training. Chaoya Jiang, Wei Ye, Haiyang Xu, Qinghao Ye, Ming Yan, Ji Zhang, Shikun Zhang |
| 2024 | Tiered Coalition Formation Game Stability and Simulation. Nathan Arnold |
| 2024 | Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence. Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen, Yulia R. Gel |
| 2024 | TimesURL: Self-Supervised Contrastive Learning for Universal Time Series Representation Learning. Jiexi Liu, Songcan Chen |
| 2024 | To Know the Causes of Things: Text Mining for Causal Relations. Fiona Anting Tan |
| 2024 | Token-Level Contrastive Learning with Modality-Aware Prompting for Multimodal Intent Recognition. Qianrui Zhou, Hua Xu, Hao Li, Hanlei Zhang, Xiaohan Zhang, Yifan Wang, Kai Gao |
| 2024 | Tools Identification By On-Board Adaptation of Vision-and-Language Models. Jun Hu, Phil Miller, Michael Lomnitz, Saurabh Farkya, Emre Yilmaz, Aswin Raghavan, David C. Zhang, Michael R. Piacentino |
| 2024 | Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation. Youngjoon Yoo, Jongwon Choi |
| 2024 | TopoGCL: Topological Graph Contrastive Learning. Yuzhou Chen, José Frías, Yulia R. Gel |
| 2024 | Topological and Node Noise Filtering on 3D Meshes Using Graph Neural Networks (Student Abstract). Vladimir Mashurov, Natalia Semenova |
| 2024 | Toward More Generalized Malicious URL Detection Models. Yun-Da Tsai, Cayon Liow, Yin Sheng Siang, Shou-De Lin |
| 2024 | Toward Open-Set Human Object Interaction Detection. Mingrui Wu, Yuqi Liu, Jiayi Ji, Xiaoshuai Sun, Rongrong Ji |
| 2024 | Toward Robustness in Multi-Label Classification: A Data Augmentation Strategy against Imbalance and Noise. Hwanjun Song, Minseok Kim, Jae-Gil Lee |
| 2024 | Towards Automated Chinese Ancient Character Restoration: A Diffusion-Based Method with a New Dataset. Haolong Li, Chenghao Du, Ziheng Jiang, Yifan Zhang, Jiawei Ma, Chen Ye |
| 2024 | Towards Automated RISC-V Microarchitecture Design with Reinforcement Learning. Chen Bai, Jianwang Zhai, Yuzhe Ma, Bei Yu, Martin D. F. Wong |
| 2024 | Towards Automatic Boundary Detection for Human-AI Collaborative Hybrid Essay in Education. Zijie Zeng, Lele Sha, Yuheng Li, Kaixun Yang, Dragan Gasevic, Guanliang Chen |
| 2024 | Towards Balanced Alignment: Modal-Enhanced Semantic Modeling for Video Moment Retrieval. Zhihang Liu, Jun Li, Hongtao Xie, Pandeng Li, Jiannan Ge, Sun'ao Liu, Guoqing Jin |
| 2024 | Towards Building a Language-Independent Speech Scoring Assessment. Shreyansh Gupta, Abhishek Unnam, Kuldeep Yadav, Varun Aggarwal |
| 2024 | Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders. Yaohua Zha, Huizhen Ji, Jinmin Li, Rongsheng Li, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia |
| 2024 | Towards Continual Knowledge Graph Embedding via Incremental Distillation. Jiajun Liu, Wenjun Ke, Peng Wang, Ziyu Shang, Jinhua Gao, Guozheng Li, Ke Ji, Yanhe Liu |
| 2024 | Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding. Depeng Li, Tianqi Wang, Junwei Chen, Qining Ren, Kenji Kawaguchi, Zhigang Zeng |
| 2024 | Towards Detailed Text-to-Motion Synthesis via Basic-to-Advanced Hierarchical Diffusion Model. Zhenyu Xie, Yang Wu, Xuehao Gao, Zhongqian Sun, Wei Yang, Xiaodan Liang |
| 2024 | Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings. Jihyeon Seong, Jungmin Kim, Jaesik Choi |
| 2024 | Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective. Binwu Wang, Pengkun Wang, Yudong Zhang, Xu Wang, Zhengyang Zhou, Lei Bai, Yang Wang |
| 2024 | Towards Effective and General Graph Unlearning via Mutual Evolution. Xunkai Li, Yulin Zhao, Zhengyu Wu, Wentao Zhang, Rong-Hua Li, Guoren Wang |
| 2024 | Towards Efficient Diffusion-Based Image Editing with Instant Attention Masks. Siyu Zou, Jiji Tang, Yiyi Zhou, Jing He, Chaoyi Zhao, Rongsheng Zhang, Zhipeng Hu, Xiaoshuai Sun |
| 2024 | Towards Efficient Verification of Quantized Neural Networks. Pei Huang, Haoze Wu, Yuting Yang, Ieva Daukantas, Min Wu, Yedi Zhang, Clark W. Barrett |
| 2024 | Towards Efficient and Effective Text-to-Video Retrieval with Coarse-to-Fine Visual Representation Learning. Kaibin Tian, Yanhua Cheng, Yi Liu, Xinglin Hou, Quan Chen, Han Li |
| 2024 | Towards Epistemic-Doxastic Planning with Observation and Revision. Thorsten Engesser, Andreas Herzig, Elise Perrotin |
| 2024 | Towards Equipping Transformer with the Ability of Systematic Compositionality. Chen Huang, Peixin Qin, Wenqiang Lei, Jiancheng Lv |
| 2024 | Towards Evidential and Class Separable Open Set Object Detection. Ruofan Wang, Rui-Wei Zhao, Xiaobo Zhang, Rui Feng |
| 2024 | Towards Explainable Joint Models via Information Theory for Multiple Intent Detection and Slot Filling. Xianwei Zhuang, Xuxin Cheng, Yuexian Zou |
| 2024 | Towards Fair Graph Federated Learning via Incentive Mechanisms. Chenglu Pan, Jiarong Xu, Yue Yu, Ziqi Yang, Qingbiao Wu, Chunping Wang, Lei Chen, Yang Yang |
| 2024 | Towards Fairer Centroids in K-means Clustering. Stanley Simoes, Deepak P, Muiris MacCarthaigh |
| 2024 | Towards Fairness in Online Service with K Servers and Its Application on Fair Food Delivery. Daman Deep Singh, Amit Kumar, Abhijnan Chakraborty |
| 2024 | Towards Fine-Grained HBOE with Rendered Orientation Set and Laplace Smoothing. Ruisi Zhao, Mingming Li, Zheng Yang, Binbin Lin, Xiaohui Zhong, Xiaobo Ren, Deng Cai, Boxi Wu |
| 2024 | Towards Holistic, Pragmatic and Multimodal Conversational Systems. Pranava Madhyastha |
| 2024 | Towards Human-like Learning from Relational Structured Data. Quanming Yao |
| 2024 | Towards Improved Proxy-Based Deep Metric Learning via Data-Augmented Domain Adaptation. Li Ren, Chen Chen, Liqiang Wang, Kien A. Hua |
| 2024 | Towards Inductive Robustness: Distilling and Fostering Wave-Induced Resonance in Transductive GCNs against Graph Adversarial Attacks. Ao Liu, Wenshan Li, Tao Li, Beibei Li, Hanyuan Huang, Pan Zhou |
| 2024 | Towards Large Certified Radius in Randomized Smoothing Using Quasiconcave Optimization. Bo-Han Kung, Shang-Tse Chen |
| 2024 | Towards Learning and Explaining Indirect Causal Effects in Neural Networks. Abbavaram Gowtham Reddy, Saketh Bachu, Harsharaj Pathak, Benin Godfrey L, Varshaneya V, Vineeth N. Balasubramanian, Satyanarayan Kar |
| 2024 | Towards Making Learnware Specification and Market Evolvable. Jian-Dong Liu, Zhi-Hao Tan, Zhi-Hua Zhou |
| 2024 | Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation. Di Mi, Yanjun Zhang, Leo Yu Zhang, Shengshan Hu, Qi Zhong, Haizhuan Yuan, Shirui Pan |
| 2024 | Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction. Wei Qian, Chenxu Zhao, Yangyi Li, Fenglong Ma, Chao Zhang, Mengdi Huai |
| 2024 | Towards More Faithful Natural Language Explanation Using Multi-Level Contrastive Learning in VQA. Chengen Lai, Shengli Song, Shiqi Meng, Jingyang Li, Sitong Yan, Guangneng Hu |
| 2024 | Towards Multi-Intent Spoken Language Understanding via Hierarchical Attention and Optimal Transport. Xuxin Cheng, Zhihong Zhu, Hongxiang Li, Yaowei Li, Xianwei Zhuang, Yuexian Zou |
| 2024 | Towards Multi-Mode Outlier Robust Tensor Ring Decomposition. Yuning Qiu, Guoxu Zhou, Andong Wang, Zhenhao Huang, Qibin Zhao |
| 2024 | Towards Optimal Subsidy Bounds for Envy-Freeable Allocations. Yasushi Kawase, Kazuhisa Makino, Hanna Sumita, Akihisa Tamura, Makoto Yokoo |
| 2024 | Towards Real-World Test-Time Adaptation: Tri-net Self-Training with Balanced Normalization. Yongyi Su, Xun Xu, Kui Jia |
| 2024 | Towards Reliable Learning in the Wild: Generalization and Adaptation. Huaxiu Yao |
| 2024 | Towards Reproducible, Automated, and Scalable Anomaly Detection. Yue Zhao |
| 2024 | Towards Robust Image Stitching: An Adaptive Resistance Learning against Compatible Attacks. Zhiying Jiang, Xingyuan Li, Jinyuan Liu, Xin Fan, Risheng Liu |
| 2024 | Towards Robust Visual Understanding: from Recognition to Reasoning. Tejas Gokhale |
| 2024 | Towards Robustness to Natural Variations and Distribution Shift (Student Abstract). Josué Martínez-Martínez, Olivia Brown, Rajmonda Caceres |
| 2024 | Towards Running Time Analysis of Interactive Multi-Objective Evolutionary Algorithms. Tianhao Lu, Chao Bian, Chao Qian |
| 2024 | Towards Safe Policy Learning under Partial Identifiability: A Causal Approach. Shalmali Joshi, Junzhe Zhang, Elias Bareinboim |
| 2024 | Towards Squeezing-Averse Virtual Try-On via Sequential Deformation. Sang-Heon Shim, Jiwoo Chung, Jae-Pil Heo |
| 2024 | Towards Stability and Generalization Bounds in Decentralized Minibatch Stochastic Gradient Descent. Jiahuan Wang, Hong Chen |
| 2024 | Towards Transferable Adversarial Attacks with Centralized Perturbation. Shangbo Wu, Yu-an Tan, Yajie Wang, Ruinan Ma, Wencong Ma, Yuanzhang Li |
| 2024 | Towards Trustworthy Autonomous Systems via Conversations and Explanations. Balint Gyevnar |
| 2024 | Towards Trustworthy Deep Learning. Tsui-Wei Lily Weng |
| 2024 | Towards Understanding Future: Consistency Guided Probabilistic Modeling for Action Anticipation. Zhao Xie, Yadong Shi, Kewei Wu, Yaru Cheng, Dan Guo |
| 2024 | Towards a More Burkean Approach to Computational Social Choice. Omer Lev |
| 2024 | Towards a Theoretical Understanding of Why Local Search Works for Clustering with Fair-Center Representation. Zhen Zhang, Junfeng Yang, Limei Liu, Xuesong Xu, Guozhen Rong, Qilong Feng |
| 2024 | Towards a Transformer-Based Reverse Dictionary Model for Quality Estimation of Definitions (Student Abstract). Julien Guité-Vinet, Alexandre Blondin Massé, Fatiha Sadat |
| 2024 | Towards the Disappearing Truth: Fine-Grained Joint Causal Influences Learning with Hidden Variable-Driven Causal Hypergraphs in Time Series. Kun Zhu, Chunhui Zhao |
| 2024 | Towards the Robustness of Differentially Private Federated Learning. Tao Qi, Huili Wang, Yongfeng Huang |
| 2024 | TraceEvader: Making DeepFakes More Untraceable via Evading the Forgery Model Attribution. Mengjie Wu, Jingui Ma, Run Wang, Sidan Zhang, Ziyou Liang, Boheng Li, Chenhao Lin, Liming Fang, Lina Wang |
| 2024 | Trade-Offs in Fine-Tuned Diffusion Models between Accuracy and Interpretability. Mischa Dombrowski, Hadrien Reynaud, Johanna P. Müller, Matthew Baugh, Bernhard Kainz |
| 2024 | Traffic Flow Optimisation for Lifelong Multi-Agent Path Finding. Zhe Chen, Daniel Harabor, Jiaoyang Li, Peter J. Stuckey |
| 2024 | Training-Free Quantum Architecture Search. Zhimin He, Maijie Deng, Shenggen Zheng, Lvzhou Li, Haozhen Situ |
| 2024 | TransGOP: Transformer-Based Gaze Object Prediction. Binglu Wang, Chenxi Guo, Yang Jin, Haisheng Xia, Nian Liu |
| 2024 | Transfer and Alignment Network for Generalized Category Discovery. Wenbin An, Feng Tian, Wenkai Shi, Yan Chen, Yaqiang Wu, Qianying Wang, Ping Chen |
| 2024 | Transferable Adversarial Attacks for Object Detection Using Object-Aware Significant Feature Distortion. Xinlong Ding, Jiansheng Chen, Hongwei Yu, Yu Shang, Yining Qin, Huimin Ma |
| 2024 | Transferable Video Moment Localization by Moment-Guided Query Prompting. Hao Jiang, Yang Yizhang, Yadong Mu |
| 2024 | Transformer as Linear Expansion of Learngene. Shiyu Xia, Miaosen Zhang, Xu Yang, Ruiming Chen, Haokun Chen, Xin Geng |
| 2024 | Transformer-Based No-Reference Image Quality Assessment via Supervised Contrastive Learning. Jinsong Shi, Pan Gao, Jie Qin |
| 2024 | Transformer-Based Selective Super-resolution for Efficient Image Refinement. Tianyi Zhang, Kishore Kasichainula, Yaoxin Zhuo, Baoxin Li, Jae-sun Seo, Yu Cao |
| 2024 | Transformer-Based Video-Structure Multi-Instance Learning for Whole Slide Image Classification. Yingfan Ma, Xiaoyuan Luo, Kexue Fu, Manning Wang |
| 2024 | Transformer-Empowered Multi-Modal Item Embedding for Enhanced Image Search in E-commerce. Chang Liu, Peng Hou, Anxiang Zeng, Han Yu |
| 2024 | Transforming Healthcare: A Comprehensive Approach to Mitigating Bias and Fostering Empathy through AI-Driven Augmented Reality. Erica Okeh |
| 2024 | Transient Glimpses: Unveiling Occluded Backgrounds through the Spike Camera. Jiyuan Zhang, Shiyan Chen, Yajing Zheng, Zhaofei Yu, Tiejun Huang |
| 2024 | Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games. Pengdeng Li, Runsheng Yu, Xinrun Wang, Bo An |
| 2024 | Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-Based Similarity. Van Thuy Hoang, O-Joun Lee |
| 2024 | Translate Meanings, Not Just Words: IdiomKB's Role in Optimizing Idiomatic Translation with Language Models. Shuang Li, Jiangjie Chen, Siyu Yuan, Xinyi Wu, Hao Yang, Shimin Tao, Yanghua Xiao |
| 2024 | Transportable Representations for Domain Generalization. Kasra Jalaldoust, Elias Bareinboim |
| 2024 | Trash to Treasure: Low-Light Object Detection via Decomposition-and-Aggregation. Xiaohan Cui, Long Ma, Tengyu Ma, Jinyuan Liu, Xin Fan, Risheng Liu |
| 2024 | Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization. Jiahao Qiu, Hui Yuan, Jinghong Zhang, Wentao Chen, Huazheng Wang, Mengdi Wang |
| 2024 | Tree-of-Reasoning Question Decomposition for Complex Question Answering with Large Language Models. Kun Zhang, Jiali Zeng, Fandong Meng, Yuanzhuo Wang, Shiqi Sun, Long Bai, Huawei Shen, Jie Zhou |
| 2024 | Trend-Aware Supervision: On Learning Invariance for Semi-supervised Facial Action Unit Intensity Estimation. Yingjie Chen, Jiarui Zhang, Tao Wang, Yun Liang |
| 2024 | TriSampler: A Better Negative Sampling Principle for Dense Retrieval. Zhen Yang, Zhou Shao, Yuxiao Dong, Jie Tang |
| 2024 | Triple Feature Disentanglement for One-Stage Adaptive Object Detection. Haoan Wang, Shilong Jia, Tieyong Zeng, Guixu Zhang, Zhi Li |
| 2024 | Trust Region Methods for Nonconvex Stochastic Optimization beyond Lipschitz Smoothness. Chenghan Xie, Chenxi Li, Chuwen Zhang, Qi Deng, Dongdong Ge, Yinyu Ye |
| 2024 | Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models through Intervention without Tuning. Zhongzhi Chen, Xingwu Sun, Xianfeng Jiao, Fengzong Lian, Zhanhui Kang, Di Wang, Chengzhong Xu |
| 2024 | Tuning-Free Inversion-Enhanced Control for Consistent Image Editing. Xiaoyue Duan, Shuhao Cui, Guoliang Kang, Baochang Zhang, Zhengcong Fei, Mingyuan Fan, Junshi Huang |
| 2024 | TurboSVM-FL: Boosting Federated Learning through SVM Aggregation for Lazy Clients. Mengdi Wang, Anna Bodonhelyi, Efe Bozkir, Enkelejda Kasneci |
| 2024 | Turning Dust into Gold: Distilling Complex Reasoning Capabilities from LLMs by Leveraging Negative Data. Yiwei Li, Peiwen Yuan, Shaoxiong Feng, Boyuan Pan, Bin Sun, Xinglin Wang, Heda Wang, Kan Li |
| 2024 | Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing Continuous Conditional Generative Adversarial Networks. Xin Ding, Yongwei Wang, Zuheng Xu |
| 2024 | Twice Class Bias Correction for Imbalanced Semi-supervised Learning. Lan Li, Bowen Tao, Lu Han, De-Chuan Zhan, Han-Jia Ye |
| 2024 | Two-Stage Evolutionary Reinforcement Learning for Enhancing Exploration and Exploitation. Qingling Zhu, Xiaoqiang Wu, Qiuzhen Lin, Wei-Neng Chen |
| 2024 | U-Mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series Forecasting. Xiang Ma, Xuemei Li, Lexin Fang, Tianlong Zhao, Caiming Zhang |
| 2024 | U-trustworthy Models. Reliability, Competence, and Confidence in Decision-Making. Ritwik Vashistha, Arya Farahi |
| 2024 | UCMCTrack: Multi-Object Tracking with Uniform Camera Motion Compensation. Kefu Yi, Kai Luo, Xiaolei Luo, Jiangui Huang, Hao Wu, Rongdong Hu, Wei Hao |
| 2024 | UFDA: Universal Federated Domain Adaptation with Practical Assumptions. Xinhui Liu, Zhenghao Chen, Luping Zhou, Dong Xu, Wei Xi, Gairui Bai, Yihan Zhao, Jizhong Zhao |
| 2024 | UMA: Facilitating Backdoor Scanning via Unlearning-Based Model Ablation. Yue Zhao, Congyi Li, Kai Chen |
| 2024 | UMIE: Unified Multimodal Information Extraction with Instruction Tuning. Lin Sun, Kai Zhang, Qingyuan Li, Renze Lou |
| 2024 | UNEX-RL: Reinforcing Long-Term Rewards in Multi-Stage Recommender Systems with UNidirectional EXecution. Gengrui Zhang, Yao Wang, Xiaoshuang Chen, Hongyi Qian, Kaiqiao Zhan, Ben Wang |
| 2024 | UPDP: A Unified Progressive Depth Pruner for CNN and Vision Transformer. Ji Liu, Dehua Tang, Yuanxian Huang, Li Zhang, Xiaocheng Zeng, Dong Li, Mingjie Lu, Jinzhang Peng, Yu Wang, Fan Jiang, Lu Tian, Ashish Sirasao |
| 2024 | UV-SAM: Adapting Segment Anything Model for Urban Village Identification. Xin Zhang, Yu Liu, Yuming Lin, Qingmin Liao, Yong Li |
| 2024 | UVAGaze: Unsupervised 1-to-2 Views Adaptation for Gaze Estimation. Ruicong Liu, Feng Lu |
| 2024 | Uncertainty Quantification for Data-Driven Change-Point Learning via Cross-Validation. Hui Chen, Yinxu Jia, Guanghui Wang, Changliang Zou |
| 2024 | Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution. Tailin Wu, Willie Neiswanger, Hongtao Zheng, Stefano Ermon, Jure Leskovec |
| 2024 | Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model. Shunsuke Horii, Yoichi Chikahara |
| 2024 | Uncertainty Regularized Evidential Regression. Kai Ye, Tiejin Chen, Hua Wei, Liang Zhan |
| 2024 | Uncertainty-Aware GAN for Single Image Super Resolution. Chenxi Ma |
| 2024 | Uncertainty-Aware Yield Prediction with Multimodal Molecular Features. Jiayuan Chen, Kehan Guo, Zhen Liu, Olexandr Isayev, Xiangliang Zhang |
| 2024 | Uncovering and Mitigating the Hidden Chasm: A Study on the Text-Text Domain Gap in Euphemism Identification. Yuxue Hu, Junsong Li, Mingmin Wu, Zhongqiang Huang, Gang Chen, Ying Sha |
| 2024 | Underspecification in Language Modeling Tasks: A Causality-Informed Study of Gendered Pronoun Resolution. Emily McMilin |
| 2024 | Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision. Wonjoon Chang, Dahee Kwon, Jaesik Choi |
| 2024 | Understanding Likelihood of Normalizing Flow and Image Complexity through the Lens of Out-of-Distribution Detection. Genki Osada, Tsubasa Takahashi, Takashi Nishide |
| 2024 | Understanding Surprising Generalization Phenomena in Deep Learning. Wei Hu |
| 2024 | Understanding and Improving Optimization in Predictive Coding Networks. Nicholas Alonso, Jeffrey L. Krichmar, Emre Neftci |
| 2024 | Understanding and Leveraging the Learning Phases of Neural Networks. Johannes Schneider, Mohit Prabhushankar |
| 2024 | Understanding the Generalization of Pretrained Diffusion Models on Out-of-Distribution Data. Sai Niranjan Ramachandran, Rudrabha Mukhopadhyay, Madhav Agarwal, C. V. Jawahar, Vinay P. Namboodiri |
| 2024 | Understanding the Role of the Projector in Knowledge Distillation. Roy Miles, Krystian Mikolajczyk |
| 2024 | Underwater Organism Color Fine-Tuning via Decomposition and Guidance. Xiaofeng Cong, Jie Gui, Junming Hou |
| 2024 | Uni-MIS: United Multiple Intent Spoken Language Understanding via Multi-View Intent-Slot Interaction. Shangjian Yin, Peijie Huang, Yuhong Xu |
| 2024 | UniADS: Universal Architecture-Distiller Search for Distillation Gap. Liming Lu, Zhenghan Chen, Xiaoyu Lu, Yihang Rao, Lujun Li, Shuchao Pang |
| 2024 | UniAP: Towards Universal Animal Perception in Vision via Few-Shot Learning. Meiqi Sun, Zhonghan Zhao, Wenhao Chai, Hanjun Luo, Shidong Cao, Yanting Zhang, Jenq-Neng Hwang, Gaoang Wang |
| 2024 | UniCATS: A Unified Context-Aware Text-to-Speech Framework with Contextual VQ-Diffusion and Vocoding. Chenpeng Du, Yiwei Guo, Feiyu Shen, Zhijun Liu, Zheng Liang, Xie Chen, Shuai Wang, Hui Zhang, Kai Yu |
| 2024 | UniCell: Universal Cell Nucleus Classification via Prompt Learning. Junjia Huang, Haofeng Li, Xiang Wan, Guanbin Li |
| 2024 | UniGen: A Unified Generative Framework for Retrieval and Question Answering with Large Language Models. Xiaoxi Li, Yujia Zhou, Zhicheng Dou |
| 2024 | Unified Framework for Diffusion Generative Models in SO(3): Applications in Computer Vision and Astrophysics. Yesukhei Jagvaral, François Lanusse, Rachel Mandelbaum |
| 2024 | Unify Named Entity Recognition Scenarios via Contrastive Real-Time Updating Prototype. Yanhe Liu, Peng Wang, Wenjun Ke, Guozheng Li, Xiye Chen, Jiteng Zhao, Ziyu Shang |
| 2024 | Unifying Decision and Function Queries in Stochastic Boolean Satisfiability. Yu-Wei Fan, Jie-Hong R. Jiang |
| 2024 | Unifying Multi-Modal Uncertainty Modeling and Semantic Alignment for Text-to-Image Person Re-identification. Zhiwei Zhao, Bin Liu, Yan Lu, Qi Chu, Nenghai Yu |
| 2024 | Unifying Visual and Vision-Language Tracking via Contrastive Learning. Yinchao Ma, Yuyang Tang, Wenfei Yang, Tianzhu Zhang, Jinpeng Zhang, Mengxue Kang |
| 2024 | Union Subgraph Neural Networks. Jiaxing Xu, Aihu Zhang, Qingtian Bian, Vijay Prakash Dwivedi, Yiping Ke |
| 2024 | Unit Selection with Nonbinary Treatment and Effect. Ang Li, Judea Pearl |
| 2024 | United We Stand: Accelerating Privacy-Preserving Neural Inference by Conjunctive Optimization with Interleaved Nexus. Qiao Zhang, Tao Xiang, Chunsheng Xin, Hongyi Wu |
| 2024 | United We Stand: Using Epoch-Wise Agreement of Ensembles to Combat Overfit. Uri Stern, Daniel Shwartz, Daphna Weinshall |
| 2024 | Universal Weak Coreset. Ragesh Jaiswal, Amit Kumar |
| 2024 | Unknown-Aware Graph Regularization for Robust Semi-supervised Learning from Uncurated Data. Heejo Kong, Suneung Kim, Ho-Joong Kim, Seong-Whan Lee |
| 2024 | Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning. Wenhai Wan, Xinrui Wang, Ming-Kun Xie, Shao-Yuan Li, Sheng-Jun Huang, Songcan Chen |
| 2024 | Unplugged K-12 AI Learning: Exploring Representation and Reasoning with a Facial Recognition Game. Hansol Lim, Wookhee Min, Jessica Vandenberg, Veronica Cateté, Bradford W. Mott |
| 2024 | Unraveling Batch Normalization for Realistic Test-Time Adaptation. Zixian Su, Jingwei Guo, Kai Yao, Xi Yang, Qiufeng Wang, Kaizhu Huang |
| 2024 | Unraveling Pain Levels: A Data-Uncertainty Guided Approach for Effective Pain Assessment. Xinwei Ji, Xiaomin Chang, Wei Li, Albert Y. Zomaya |
| 2024 | Unravelling Expressive Delegations: Complexity and Normative Analysis. Giannis Tyrovolas, Andrei Constantinescu, Edith Elkind |
| 2024 | Unsupervised Action Segmentation via Fast Learning of Semantically Consistent Actoms. Zheng Xing, Weibing Zhao |
| 2024 | Unsupervised Continual Anomaly Detection with Contrastively-Learned Prompt. Jiaqi Liu, Kai Wu, Qiang Nie, Ying Chen, Bin-Bin Gao, Yong Liu, Jinbao Wang, Chengjie Wang, Feng Zheng |
| 2024 | Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport. Bin Li, Ye Shi, Qian Yu, Jingya Wang |
| 2024 | Unsupervised Domain Adaptative Temporal Sentence Localization with Mutual Information Maximization. Daizong Liu, Xiang Fang, Xiaoye Qu, Jianfeng Dong, He Yan, Yang Yang, Pan Zhou, Yu Cheng |
| 2024 | Unsupervised Extractive Summarization with Learnable Length Control Strategies. Renlong Jie, Xiaojun Meng, Xin Jiang, Qun Liu |
| 2024 | Unsupervised Gene-Cell Collective Representation Learning with Optimal Transport. Jixiang Yu, Nanjun Chen, Ming Gao, Xiangtao Li, Ka-Chun Wong |
| 2024 | Unsupervised Group Re-identification via Adaptive Clustering-Driven Progressive Learning. Hongxu Chen, Quan Zhang, Jian-Huang Lai, Xiaohua Xie |
| 2024 | Unsupervised Layer-Wise Score Aggregation for Textual OOD Detection. Maxime Darrin, Guillaume Staerman, Eduardo Dadalto Câmara Gomes, Jackie C. K. Cheung, Pablo Piantanida, Pierre Colombo |
| 2024 | Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification. Sonny Achten, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens |
| 2024 | Unsupervised Object Interaction Learning with Counterfactual Dynamics Models. Jongwook Choi, Sungtae Lee, Xinyu Wang, Sungryull Sohn, Honglak Lee |
| 2024 | Unsupervised Pan-Sharpening via Mutually Guided Detail Restoration. Huangxing Lin, Yuhang Dong, Xinghao Ding, Tianpeng Liu, Yongxiang Liu |
| 2024 | Unsupervised Training Sequence Design: Efficient and Generalizable Agent Training. Wenjun Li, Pradeep Varakantham |
| 2024 | Unveiling Details in the Dark: Simultaneous Brightening and Zooming for Low-Light Image Enhancement. Ziyu Yue, Jiaxin Gao, Zhixun Su |
| 2024 | Unveiling Implicit Deceptive Patterns in Multi-Modal Fake News via Neuro-Symbolic Reasoning. Yiqi Dong, Dongxiao He, Xiaobao Wang, Youzhu Jin, Meng Ge, Carl Yang, Di Jin |
| 2024 | Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning. Junseok Park, Yoonsung Kim, Hee Bin Yoo, Min Whoo Lee, Kibeom Kim, Won-Seok Choi, Minsu Lee, Byoung-Tak Zhang |
| 2024 | Unveiling the Tapestry of Automated Essay Scoring: A Comprehensive Investigation of Accuracy, Fairness, and Generalizability. Kaixun Yang, Mladen Rakovic, Yuyang Li, Quanlong Guan, Dragan Gasevic, Guanliang Chen |
| 2024 | Upper Bounding Barlow Twins: A Novel Filter for Multi-Relational Clustering. Xiaowei Qian, Bingheng Li, Zhao Kang |
| 2024 | Urban Region Embedding via Multi-View Contrastive Prediction. Zechen Li, Weiming Huang, Kai Zhao, Min Yang, Yongshun Gong, Meng Chen |
| 2024 | Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health. Harsh Kumar, Tong Li, Jiakai Shi, Ilya Musabirov, Rachel Kornfield, Jonah Meyerhoff, Ananya Bhattacharjee, Chris J. Karr, Theresa Nguyen, David C. Mohr, Anna N. Rafferty, Sofia S. Villar, Nina Deliu, Joseph Jay Williams |
| 2024 | Using Artificial Populations to Study Psychological Phenomena in Neural Models. Jesse Roberts, Kyle Moore, Drew Wilenzick, Douglas H. Fisher |
| 2024 | Using Clustering to Strengthen Decision Diagram Bounds for Discrete Optimization. Mohsen Nafar, Michael Römer |
| 2024 | Using Reinforcement Learning to Iteratively Construct Road Networks from Satellite Images and GPS Data. Isaiah Gallardo |
| 2024 | Using Stratified Sampling to Improve LIME Image Explanations. Muhammad Rashid, Elvio G. Amparore, Enrico Ferrari, Damiano Verda |
| 2024 | Using Symmetries to Lift Satisfiability Checking. Pierre Carbonnelle, Gottfried Schenner, Maurice Bruynooghe, Bart Bogaerts, Marc Denecker |
| 2024 | V2A-Mapper: A Lightweight Solution for Vision-to-Audio Generation by Connecting Foundation Models. Heng Wang, Jianbo Ma, Santiago Pascual, Richard Cartwright, Weidong Cai |
| 2024 | V2Meow: Meowing to the Visual Beat via Video-to-Music Generation. Kun Su, Judith Yue Li, Qingqing Huang, Dima Kuzmin, Joonseok Lee, Chris Donahue, Fei Sha, Aren Jansen, Yu Wang, Mauro Verzetti, Timo I. Denk |
| 2024 | VELMA: Verbalization Embodiment of LLM Agents for Vision and Language Navigation in Street View. Raphael Schumann, Wanrong Zhu, Weixi Feng, Tsu-Jui Fu, Stefan Riezler, William Yang Wang |
| 2024 | VIGC: Visual Instruction Generation and Correction. Bin Wang, Fan Wu, Xiao Han, Jiahui Peng, Huaping Zhong, Pan Zhang, Xiaoyi Dong, Weijia Li, Wei Li, Jiaqi Wang, Conghui He |
| 2024 | VITA: 'Carefully Chosen and Weighted Less' Is Better in Medication Recommendation. Taeri Kim, Jiho Heo, Hongil Kim, Kijung Shin, Sang-Wook Kim |
| 2024 | VIXEN: Visual Text Comparison Network for Image Difference Captioning. Alexander Black, Jing Shi, Yifei Fan, Tu Bui, John P. Collomosse |
| 2024 | VLCounter: Text-Aware Visual Representation for Zero-Shot Object Counting. Seunggu Kang, WonJun Moon, Euiyeon Kim, Jae-Pil Heo |
| 2024 | VLM2Scene: Self-Supervised Image-Text-LiDAR Learning with Foundation Models for Autonomous Driving Scene Understanding. Guibiao Liao, Jiankun Li, Xiaoqing Ye |
| 2024 | VLN-Video: Utilizing Driving Videos for Outdoor Vision-and-Language Navigation. Jialu Li, Aishwarya Padmakumar, Gaurav S. Sukhatme, Mohit Bansal |
| 2024 | VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding. Yi Xin, Junlong Du, Qiang Wang, Zhiwen Lin, Ke Yan |
| 2024 | VPDETR: End-to-End Vanishing Point DEtection TRansformers. Taiyan Chen, Xianghua Ying, Jinfa Yang, Ruibin Wang, Ruohao Guo, Bowei Xing, Ji Shi |
| 2024 | VQ-FONT: Few-Shot Font Generation with Structure-Aware Enhancement and Quantization. Mingshuai Yao, Yabo Zhang, Xianhui Lin, Xiaoming Li, Wangmeng Zuo |
| 2024 | VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models. Ziyi Yin, Muchao Ye, Tianrong Zhang, Jiaqi Wang, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma |
| 2024 | VQCNIR: Clearer Night Image Restoration with Vector-Quantized Codebook. Wenbin Zou, Hongxia Gao, Tian Ye, Liang Chen, Weipeng Yang, Shasha Huang, Hongsheng Chen, Sixiang Chen |
| 2024 | VSFormer: Visual-Spatial Fusion Transformer for Correspondence Pruning. Tangfei Liao, Xiaoqin Zhang, Li Zhao, Tao Wang, Guobao Xiao |
| 2024 | VVS: Video-to-Video Retrieval with Irrelevant Frame Suppression. Won Jo, Geuntaek Lim, Gwangjin Lee, Hyunwoo Kim, Byungsoo Ko, Yukyung Choi |
| 2024 | VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection. Peng Wu, Xuerong Zhou, Guansong Pang, Lingru Zhou, Qingsen Yan, Peng Wang, Yanning Zhang |
| 2024 | Validation, Robustness, and Accuracy of Perturbation-Based Sensitivity Analysis Methods for Time-Series Deep Learning Models. Zhengguang Wang |
| 2024 | Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties. Taylor Sorensen, Liwei Jiang, Jena D. Hwang, Sydney Levine, Valentina Pyatkin, Peter West, Nouha Dziri, Ximing Lu, Kavel Rao, Chandra Bhagavatula, Maarten Sap, John Tasioulas, Yejin Choi |
| 2024 | Value at Adversarial Risk: A Graph Defense Strategy against Cost-Aware Attacks. Junlong Liao, Wenda Fu, Cong Wang, Zhongyu Wei, Jiarong Xu |
| 2024 | Variable Importance in High-Dimensional Settings Requires Grouping. Ahmad Chamma, Bertrand Thirion, Denis A. Engemann |
| 2024 | Variance-Insensitive and Target-Preserving Mask Refinement for Interactive Image Segmentation. Chaowei Fang, Ziyin Zhou, Junye Chen, Hanjing Su, Qingyao Wu, Guanbin Li |
| 2024 | Variational Hybrid-Attention Framework for Multi-Label Few-Shot Aspect Category Detection. Cheng Peng, Ke Chen, Lidan Shou, Gang Chen |
| 2024 | Vector Field Oriented Diffusion Model for Crystal Material Generation. Astrid Klipfel, Yaël Frégier, Adlane Sayede, Zied Bouraoui |
| 2024 | VeriCompress: A Tool to Streamline the Synthesis of Verified Robust Compressed Neural Networks from Scratch. Sawinder Kaur, Yi Xiao, Asif Salekin |
| 2024 | ViLT-CLIP: Video and Language Tuning CLIP with Multimodal Prompt Learning and Scenario-Guided Optimization. Hao Wang, Fang Liu, Licheng Jiao, Jiahao Wang, Zehua Hao, Shuo Li, Lingling Li, Puhua Chen, Xu Liu |
| 2024 | ViSTec: Video Modeling for Sports Technique Recognition and Tactical Analysis. Yuchen He, Zeqing Yuan, Yihong Wu, Liqi Cheng, Dazhen Deng, Yingcai Wu |
| 2024 | ViT-Calibrator: Decision Stream Calibration for Vision Transformer. Lin Chen, Zhijie Jia, Lechao Cheng, Yang Gao, Jie Lei, Yijun Bei, Zunlei Feng |
| 2024 | ViTEraser: Harnessing the Power of Vision Transformers for Scene Text Removal with SegMIM Pretraining. Dezhi Peng, Chongyu Liu, Yuliang Liu, Lianwen Jin |
| 2024 | ViTree: Single-Path Neural Tree for Step-Wise Interpretable Fine-Grained Visual Categorization. Danning Lao, Qi Liu, Jiazi Bu, Junchi Yan, Wei Shen |
| 2024 | Video Event Extraction with Multi-View Interaction Knowledge Distillation. Kaiwen Wei, Runyan Du, Li Jin, Jian Liu, Jianhua Yin, Linhao Zhang, Jintao Liu, Nayu Liu, Jingyuan Zhang, Zhi Guo |
| 2024 | Video Frame Prediction from a Single Image and Events. Juanjuan Zhu, Zhexiong Wan, Yuchao Dai |
| 2024 | Video-Context Aligned Transformer for Video Question Answering. Linlin Zong, Jiahui Wan, Xianchao Zhang, Xinyue Liu, Wenxin Liang, Bo Xu |
| 2024 | Virtual Action Actor-Critic Framework for Exploration (Student Abstract). Bumgeun Park, TaeYoung Kim, Quoc-Vinh Lai-Dang, Dongsoo Har |
| 2024 | Virtual Try-On: Real-Time Interactive Hybrid Network with High-Fidelity. Umer Waqas, Yunwan Jeon, Donghun Lee |
| 2024 | Vision Transformer Off-the-Shelf: A Surprising Baseline for Few-Shot Class-Agnostic Counting. Zhicheng Wang, Liwen Xiao, Zhiguo Cao, Hao Lu |
| 2024 | Vision-Language Models for Robot Success Detection. Fiona Luo |
| 2024 | Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding. Taolin Zhang, Sunan He, Tao Dai, Zhi Wang, Bin Chen, Shu-Tao Xia |
| 2024 | Visual Abstract Reasoning in Computational Imagery. Yuan Yang |
| 2024 | Visual Adversarial Examples Jailbreak Aligned Large Language Models. Xiangyu Qi, Kaixuan Huang, Ashwinee Panda, Peter Henderson, Mengdi Wang, Prateek Mittal |
| 2024 | Visual Chain-of-Thought Prompting for Knowledge-Based Visual Reasoning. Zhenfang Chen, Qinhong Zhou, Yikang Shen, Yining Hong, Zhiqing Sun, Dan Gutfreund, Chuang Gan |
| 2024 | Visual Hallucination Elevates Speech Recognition. Fang Zhang, Yongxin Zhu, Xiangxiang Wang, Huang Chen, Xing Sun, Linli Xu |
| 2024 | Visual Instruction Tuning with Polite Flamingo. Delong Chen, Jianfeng Liu, Wenliang Dai, Baoyuan Wang |
| 2024 | Visual Language - Let the Product Say What You Want. Jiaying Wang, Shuailing Hao, Jing Shan, Xiaoxu Song |
| 2024 | Visual Redundancy Removal for Composite Images: A Benchmark Dataset and a Multi-Visual-Effects Driven Incremental Method. Miaohui Wang, Rong Zhang, Lirong Huang, Yanshan Li |
| 2024 | Voxel or Pillar: Exploring Efficient Point Cloud Representation for 3D Object Detection. Yuhao Huang, Sanping Zhou, Junjie Zhang, Jinpeng Dong, Nanning Zheng |
| 2024 | W2P: Switching from Weak Supervision to Partial Supervision for Semantic Segmentation. Fangyuan Zhang, Tianxiang Pan, Jun-Hai Yong, Bin Wang |
| 2024 | Wasserstein Differential Privacy. Chengyi Yang, Jiayin Qi, Aimin Zhou |
| 2024 | Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models. Jinqian Chen, Jihua Zhu, Qinghai Zheng, Zhongyu Li, Zhiqiang Tian |
| 2024 | Watermarking Conditional Text Generation for AI Detection: Unveiling Challenges and a Semantic-Aware Watermark Remedy. Yu Fu, Deyi Xiong, Yue Dong |
| 2024 | WaveFormer: Wavelet Transformer for Noise-Robust Video Inpainting. Zhiliang Wu, Changchang Sun, Hanyu Xuan, Gaowen Liu, Yan Yan |
| 2024 | WaveNet: Tackling Non-stationary Graph Signals via Graph Spectral Wavelets. Zhirui Yang, Yulan Hu, Sheng Ouyang, Jingyu Liu, Shuqiang Wang, Xibo Ma, Wenhan Wang, Hanjing Su, Yong Liu |
| 2024 | Wavelet Dynamic Selection Network for Inertial Sensor Signal Enhancement. Yifeng Wang, Yi Zhao |
| 2024 | Wavelet-Driven Spatiotemporal Predictive Learning: Bridging Frequency and Time Variations. Xuesong Nie, Yunfeng Yan, Siyuan Li, Cheng Tan, Xi Chen, Haoyuan Jin, Zhihang Zhu, Stan Z. Li, Donglian Qi |
| 2024 | Weak Distribution Detectors Lead to Stronger Generalizability of Vision-Language Prompt Tuning. Kun Ding, Haojian Zhang, Qiang Yu, Ying Wang, Shiming Xiang, Chunhong Pan |
| 2024 | WeakPCSOD: Overcoming the Bias of Box Annotations for Weakly Supervised Point Cloud Salient Object Detection. Jun Wei, S. Kevin Zhou, Shuguang Cui, Zhen Li |
| 2024 | Weakly Supervised Few-Shot Object Detection with DETR. Chenbo Zhang, Yinglu Zhang, Lu Zhang, Jiajia Zhao, Jihong Guan, Shuigeng Zhou |
| 2024 | Weakly Supervised Multimodal Affordance Grounding for Egocentric Images. Lingjing Xu, Yang Gao, Wenfeng Song, Aimin Hao |
| 2024 | Weakly Supervised Open-Vocabulary Object Detection. Jianghang Lin, Yunhang Shen, Bingquan Wang, Shaohui Lin, Ke Li, Liujuan Cao |
| 2024 | Weakly Supervised Semantic Segmentation for Driving Scenes. Dongseob Kim, Seungho Lee, Junsuk Choe, Hyunjung Shim |
| 2024 | Weakly-Supervised Mirror Detection via Scribble Annotations. Mingfeng Zha, Yunqiang Pei, Guoqing Wang, Tianyu Li, Yang Yang, Wenbin Qian, Heng Tao Shen |
| 2024 | Weakly-Supervised Temporal Action Localization by Inferring Salient Snippet-Feature. Wulian Yun, Mengshi Qi, Chuanming Wang, Huadong Ma |
| 2024 | WebVLN: Vision-and-Language Navigation on Websites. Qi Chen, Dileepa Pitawela, Chongyang Zhao, Gengze Zhou, Hsiang-Ting Chen, Qi Wu |
| 2024 | WeditGAN: Few-Shot Image Generation via Latent Space Relocation. Yuxuan Duan, Li Niu, Yan Hong, Liqing Zhang |
| 2024 | Weighted Envy-Freeness for Submodular Valuations. Luisa Montanari, Ulrike Schmidt-Kraepelin, Warut Suksompong, Nicholas Teh |
| 2024 | Weisfeiler and Lehman Go Paths: Learning Topological Features via Path Complexes. Quang Truong, Peter Chin |
| 2024 | Welfare Maximization in Perpetual Voting (Student Abstract). Tzeh Yuan Neoh, Nicholas Teh |
| 2024 | Well, Now We Know! Unveiling Sarcasm: Initiating and Exploring Multimodal Conversations with Reasoning. Gopendra Vikram Singh, Mauajama Firdaus, Dushyant Singh Chauhan, Asif Ekbal, Pushpak Bhattacharyya |
| 2024 | Well-Written Knowledge Graphs: Most Effective RDF Syntaxes for Triple Linearization in End-to-End Extraction of Relations from Texts (Student Abstract). Célian Ringwald, Fabien Gandon, Catherine Faron, Franck Michel, Hanna Abi Akl |
| 2024 | What Are the Rules? Discovering Constraints from Data. Boris Wiegand, Dietrich Klakow, Jilles Vreeken |
| 2024 | What Do Hebbian Learners Learn? Reduction Axioms for Iterated Hebbian Learning. Caleb Schultz Kisby, Saúl A. Blanco, Lawrence S. Moss |
| 2024 | What Does a Query Answer Tell You? Informativeness of Query Answers for Knowledge Bases. Luca Andolfi, Gianluca Cima, Marco Console, Maurizio Lenzerini |
| 2024 | What Effects the Generalization in Visual Reinforcement Learning: Policy Consistency with Truncated Return Prediction. Shuo Wang, Zhihao Wu, Xiaobo Hu, Jinwen Wang, Youfang Lin, Kai Lv |
| 2024 | What Makes Good Collaborative Views? Contrastive Mutual Information Maximization for Multi-Agent Perception. Wanfang Su, Lixing Chen, Yang Bai, Xi Lin, Gaolei Li, Zhe Qu, Pan Zhou |
| 2024 | What Makes Quantization for Large Language Model Hard? An Empirical Study from the Lens of Perturbation. Zhuocheng Gong, Jiahao Liu, Jingang Wang, Xunliang Cai, Dongyan Zhao, Rui Yan |
| 2024 | What to Remember: Self-Adaptive Continual Learning for Audio Deepfake Detection. Xiaohui Zhang, Jiangyan Yi, Chenglong Wang, Chu Yuan Zhang, Siding Zeng, Jianhua Tao |
| 2024 | When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-Making. Kate Donahue, Sreenivas Gollapudi, Kostas Kollias |
| 2024 | When CEGAR Meets Regression: A Love Story in Optimal Classical Planning. Martín Pozo, Álvaro Torralba, Carlos Linares López |
| 2024 | When Causal Inference Meets Graph Machine Learning. Jing Ma |
| 2024 | When Do Program-of-Thought Works for Reasoning? Zhen Bi, Ningyu Zhang, Yinuo Jiang, Shumin Deng, Guozhou Zheng, Huajun Chen |
| 2024 | When Model Meets New Normals: Test-Time Adaptation for Unsupervised Time-Series Anomaly Detection. Dongmin Kim, Sunghyun Park, Jaegul Choo |
| 2024 | When Sparse Graph Representation Learning Falls into Domain Shift: Data Augmentation for Cross-Domain Graph Meta-Learning (Student Abstract). Simin Niu, Xun Liang, Sensen Zhang, Shichao Song, Xuan Zhang, Xiaoping Zhou |
| 2024 | When Your AI Becomes a Target: AI Security Incidents and Best Practices. Kathrin Grosse, Lukas Bieringer, Tarek R. Besold, Battista Biggio, Alexandre Alahi |
| 2024 | When to Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks. Haihang Wu, Wei Wang, Tamasha Malepathirana, Damith A. Senanayake, Denny Oetomo, Saman K. Halgamuge |
| 2024 | When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming. Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz |
| 2024 | Where It Really Matters: Few-Shot Environmental Conservation Media Monitoring for Low-Resource Languages. Sameer Jain, Sedrick Scott Keh, Shova Chettri, Karun Dewan, Pablo Izquierdo, Johanna Prussman, Pooja Shrestha, César Suárez, Zheyuan Ryan Shi, Lei Li, Fei Fang |
| 2024 | Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples. Ruichu Cai, Yuxuan Zhu, Jie Qiao, Zefeng Liang, Furui Liu, Zhifeng Hao |
| 2024 | Which Is More Effective in Label Noise Cleaning, Correction or Filtering? Gaoxia Jiang, Jia Zhang, Xuefei Bai, Wenjian Wang, Deyu Meng |
| 2024 | Who Knows the Answer? Finding the Best Model and Prompt for Each Query Using Confidence-Based Search. Walter Gerych, Yara Rizk, Vatche Isahagian, Vinod Muthusamy, Evelyn Duesterwald, Praveen Venkateswaran |
| 2024 | WikiSQE: A Large-Scale Dataset for Sentence Quality Estimation in Wikipedia. Kenichiro Ando, Satoshi Sekine, Mamoru Komachi |
| 2024 | Wikiformer: Pre-training with Structured Information of Wikipedia for Ad-Hoc Retrieval. Weihang Su, Qingyao Ai, Xiangsheng Li, Jia Chen, Yiqun Liu, Xiaolong Wu, Shengluan Hou |
| 2024 | Winnie: Task-Oriented Dialog System with Structure-Aware Contrastive Learning and Enhanced Policy Planning. Kaizhi Gao, Tianyu Wang, Zhongjing Ma, Suli Zou |
| 2024 | Working Memory Capacity of ChatGPT: An Empirical Study. Dongyu Gong, Xingchen Wan, Dingmin Wang |
| 2024 | Worst-Case VCG Redistribution Mechanism Design Based on the Lottery Ticket Hypothesis. Mingyu Guo |
| 2024 | Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework. Lei Wang, Xu Chen, Zhenhua Dong, Quanyu Dai |
| 2024 | X-RefSeg3D: Enhancing Referring 3D Instance Segmentation via Structured Cross-Modal Graph Neural Networks. Zhipeng Qian, Yiwei Ma, Jiayi Ji, Xiaoshuai Sun |
| 2024 | X4D-SceneFormer: Enhanced Scene Understanding on 4D Point Cloud Videos through Cross-Modal Knowledge Transfer. Linglin Jing, Ying Xue, Xu Yan, Chaoda Zheng, Dong Wang, Ruimao Zhang, Zhigang Wang, Hui Fang, Bin Zhao, Zhen Li |
| 2024 | XKD: Cross-Modal Knowledge Distillation with Domain Alignment for Video Representation Learning. Pritam Sarkar, Ali Etemad |
| 2024 | Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation. Zhouhong Gu, Xiaoxuan Zhu, Haoning Ye, Lin Zhang, Jianchen Wang, Yixin Zhu, Sihang Jiang, Zhuozhi Xiong, Zihan Li, Weijie Wu, Qianyu He, Rui Xu, Wenhao Huang, Jingping Liu, Zili Wang, Shusen Wang, Weiguo Zheng, Hongwei Feng, Yanghua Xiao |
| 2024 | YTCommentQA: Video Question Answerability in Instructional Videos. Saelyne Yang, Sunghyun Park, Yunseok Jang, Moontae Lee |
| 2024 | You Only Read Once: Constituency-Oriented Relational Graph Convolutional Network for Multi-Aspect Multi-Sentiment Classification. Yongqiang Zheng, Xia Li |
| 2024 | Your Career Path Matters in Person-Job Fit. Zhuocheng Gong, Yang Song, Tao Zhang, Ji-Rong Wen, Dongyan Zhao, Rui Yan |
| 2024 | Your Prompt Is My Command: On Assessing the Human-Centred Generality of Multimodal Models (Abstract Reprint). Wout Schellaert, Fernando Martínez-Plumed, Karina Vold, John Burden, Pablo A. M. Casares, Bao Sheng Loe, Roi Reichart, Seán Ó hÉigeartaigh, Anna Korhonen, José Hernández-Orallo |
| 2024 | ZO-AdaMU Optimizer: Adapting Perturbation by the Momentum and Uncertainty in Zeroth-Order Optimization. Shuoran Jiang, Qingcai Chen, Youcheng Pan, Yang Xiang, Yukang Lin, Xiangping Wu, Chuanyi Liu, Xiaobao Song |
| 2024 | ZOOM: Learning Video Mirror Detection with Extremely-Weak Supervision. Ke Xu, Tsun Wai Siu, Rynson W. H. Lau |
| 2024 | Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives. Weibo Gao, Qi Liu, Hao Wang, Linan Yue, Haoyang Bi, Yin Gu, Fangzhou Yao, Zheng Zhang, Xin Li, Yuanjing He |
| 2024 | Zero-Shot Aerial Object Detection with Visual Description Regularization. Zhengqing Zang, Chenyu Lin, Chenwei Tang, Tao Wang, Jiancheng Lv |
| 2024 | Zero-Shot Task Adaptation with Relevant Feature Information. Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara |
| 2024 | Zero-Sum Games between Mean-Field Teams: Reachability-Based Analysis under Mean-Field Sharing. Yue Guan, Mohammad Afshari, Panagiotis Tsiotras |
| 2024 | Zhongjing: Enhancing the Chinese Medical Capabilities of Large Language Model through Expert Feedback and Real-World Multi-Turn Dialogue. Songhua Yang, Hanjie Zhao, Senbin Zhu, Guangyu Zhou, Hongfei Xu, Yuxiang Jia, Hongying Zan |
| 2024 | eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation. Libo Huang, Yan Zeng, Chuanguang Yang, Zhulin An, Boyu Diao, Yongjun Xu |
| 2024 | i-Rebalance: Personalized Vehicle Repositioning for Supply Demand Balance. Haoyang Chen, Peiyan Sun, Qiyuan Song, Wanyuan Wang, Weiwei Wu, Wencan Zhang, Guanyu Gao, Yan Lyu |
| 2024 | iDet3D: Towards Efficient Interactive Object Detection for LiDAR Point Clouds. Dongmin Choi, Wonwoo Cho, Kangyeol Kim, Jaegul Choo |
| 2024 | iTrendRNN: An Interpretable Trend-Aware RNN for Meteorological Spatiotemporal Prediction. Xu Huang, Chuyao Luo, Bowen Zhang, Huiwei Lin, Xutao Li, Yunming Ye |
| 2024 | icsPLMs: Exploring Pre-trained Language Models in Intelligent Customer Service (Student Abstract). Shixuan Liu, Chao Wang, Shuangyong Song |
| 2024 | msLPCC: A Multimodal-Driven Scalable Framework for Deep LiDAR Point Cloud Compression. Miaohui Wang, Runnan Huang, Hengjin Dong, Di Lin, Yun Song, Wuyuan Xie |
| 2024 | p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models. Haoyuan Wu, Xinyun Zhang, Peng Xu, Peiyu Liao, Xufeng Yao, Bei Yu |
| 2024 | patchDPCC: A Patchwise Deep Compression Framework for Dynamic Point Clouds. Zirui Pan, Mengbai Xiao, Xu Han, Dongxiao Yu, Guanghui Zhang, Yao Liu |
| 2024 | s-ID: Causal Effect Identification in a Sub-population. Amir Mohammad Abouei, Ehsan Mokhtarian, Negar Kiyavash |
| 2024 | z-SignFedAvg: A Unified Stochastic Sign-Based Compression for Federated Learning. Zhiwei Tang, Yanmeng Wang, Tsung-Hui Chang |
| 2024 | π-Light: Programmatic Interpretable Reinforcement Learning for Resource-Limited Traffic Signal Control. Yin Gu, Kai Zhang, Qi Liu, Weibo Gao, Longfei Li, Jun Zhou |