| 2023 | "How Can I Code A.I. Responsibly?": The Effect of Computational Action on K-12 Students Learning and Creating Socially Responsible A.I. H. Nicole Pang, Robert Parks, Cynthia Breazeal, Hal Abelson |
| 2023 | "Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge Infusion. Zexue He, An Yan, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu |
| 2023 | 3D Assembly Completion. Weihao Wang, Rufeng Zhang, Mingyu You, Hongjun Zhou, Bin He |
| 2023 | 3D Human Pose Lifting with Grid Convolution. Yangyuxuan Kang, Yuyang Liu, Anbang Yao, Shandong Wang, Enhua Wu |
| 2023 | 3D-TOGO: Towards Text-Guided Cross-Category 3D Object Generation. Zutao Jiang, Guansong Lu, Xiaodan Liang, Jihua Zhu, Wei Zhang, Xiaojun Chang, Hang Xu |
| 2023 | A Benchmark and Asymmetrical-Similarity Learning for Practical Image Copy Detection. Wenhao Wang, Yifan Sun, Yi Yang |
| 2023 | A Composite Multi-Attention Framework for Intraoperative Hypotension Early Warning. Feng Lu, Wei Li, Zhiqiang Zhou, Cheng Song, Yifei Sun, Yuwei Zhang, Yufei Ren, Xiaofei Liao, Hai Jin, Ailin Luo, Albert Y. Zomaya |
| 2023 | A Continual Pre-training Approach to Tele-Triaging Pregnant Women in Kenya. Wenbo Zhang, Hangzhi Guo, Prerna Ranganathan, Jay Patel, Sathyanath Rajasekharan, Nidhi Danayak, Manan Gupta, Amulya Yadav |
| 2023 | A Coreset Learning Reality Check. Fred Lu, Edward Raff, James Holt |
| 2023 | A Crowd-AI Collaborative Duo Relational Graph Learning Framework towards Social Impact Aware Photo Classification. Yang Zhang, Ziyi Kou, Lanyu Shang, Huimin Zeng, Zhenrui Yue, Dong Wang |
| 2023 | A Data Source for Reasoning Embodied Agents. Jack Lanchantin, Sainbayar Sukhbaatar, Gabriel Synnaeve, Yuxuan Sun, Kavya Srinet, Arthur Szlam |
| 2023 | A Dataset and Baseline Approach for Identifying Usage States from Non-intrusive Power Sensing with MiDAS IoT-Based Sensors. Bharath Muppasani, Cheyyur Jaya Anand, Chinmayi Appajigowda, Biplav Srivastava, Lokesh Johri |
| 2023 | A Dataset for Learning University STEM Courses at Scale and Generating Questions at a Human Level. Iddo Drori, Sarah J. Zhang, Zad Chin, Reece Shuttleworth, Albert Lu, Linda Chen, Bereket Birbo, Michele He, Pedro Lantigua, Sunny Tran, Gregory Hunter, Bo Feng, Newman Cheng, Roman Wang, Yann Hicke, Saisamrit Surbehera, Arvind Raghavan, Alexander E. Siemenn, Nikhil Singh, Jayson Lynch, Avi Shporer, Nakul Verma, Tonio Buonassisi, Armando Solar-Lezama |
| 2023 | A Disentangled-Attention Based Framework with Persona-Aware Prompt Learning for Dialogue Generation. Pingsheng Liu, Zhengjie Huang, Xiechi Zhang, Linlin Wang, Gerard de Melo, Xin Lin, Liang Pang, Liang He |
| 2023 | A Domain-Knowledge-Inspired Music Embedding Space and a Novel Attention Mechanism for Symbolic Music Modeling. Zixun Guo, Jaeyong Kang, Dorien Herremans |
| 2023 | A Domain-Transfer Meta Task Design Paradigm for Few-Shot Slot Tagging. Fengyi Yang, Xi Zhou, Yating Yang, Bo Ma, Rui Dong, Abibulla Atawulla |
| 2023 | A Dynamics and Task Decoupled Reinforcement Learning Architecture for High-Efficiency Dynamic Target Intercept. Dora D. Liu, Liang Hu, Qi Zhang, Tangwei Ye, Usman Naseem, Zhongyuan Lai |
| 2023 | A Fair Generative Model Using LeCam Divergence. Soobin Um, Changho Suh |
| 2023 | A Fair Incentive Scheme for Community Health Workers. Avinandan Bose, Tracey Li, Arunesh Sinha, Tien Mai |
| 2023 | A Faster Practical Approximation Scheme for the Permanent. Juha Harviainen, Mikko Koivisto |
| 2023 | A Federated Learning Monitoring Tool for Self-Driving Car Simulation (Student Abstract). Taejoon Lee, Hyunsu Mun, Youngseok Lee |
| 2023 | A Formal Metareasoning Model of Concurrent Planning and Execution. Amihay Elboher, Ava Bensoussan, Erez Karpas, Wheeler Ruml, Shahaf S. Shperberg, Solomon Eyal Shimony |
| 2023 | A Framework to Design Approximation Algorithms for Finding Diverse Solutions in Combinatorial Problems. Tesshu Hanaka, Masashi Kiyomi, Yasuaki Kobayashi, Yusuke Kobayashi, Kazuhiro Kurita, Yota Otachi |
| 2023 | A Generalized Scalarization Method for Evolutionary Multi-Objective Optimization. Ruihao Zheng, Zhenkun Wang |
| 2023 | A Generalized Unbiased Risk Estimator for Learning with Augmented Classes. Senlin Shu, Shuo He, Haobo Wang, Hongxin Wei, Tao Xiang, Lei Feng |
| 2023 | A Generative Approach for Script Event Prediction via Contrastive Fine-Tuning. Fangqi Zhu, Jun Gao, Changlong Yu, Wei Wang, Chen Xu, Xin Mu, Min Yang, Ruifeng Xu |
| 2023 | A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise. Jongwoo Ko, Bongsoo Yi, Se-Young Yun |
| 2023 | A Graph Fusion Approach for Cross-Lingual Machine Reading Comprehension. Zenan Xu, Linjun Shou, Jian Pei, Ming Gong, Qinliang Su, Xiaojun Quan, Daxin Jiang |
| 2023 | A Highly Efficient Marine Mammals Classifier Based on a Cross-Covariance Attended Compact Feed-Forward Sequential Memory Network (Student Abstract). Xiangrui Liu, Julian Cheng |
| 2023 | A Holistic Approach to Undesired Content Detection in the Real World. Todor Markov, Chong Zhang, Sandhini Agarwal, Florentine Eloundou Nekoul, Theodore Lee, Steven Adler, Angela Jiang, Lilian Weng |
| 2023 | A Latent-Variable Model for Intrinsic Probing. Karolina Stanczak, Lucas Torroba Hennigen, Adina Williams, Ryan Cotterell, Isabelle Augenstein |
| 2023 | A Learnable Radial Basis Positional Embedding for Coordinate-MLPs. Sameera Ramasinghe, Simon Lucey |
| 2023 | A Machine with Short-Term, Episodic, and Semantic Memory Systems. Taewoon Kim, Michael Cochez, Vincent François-Lavet, Mark A. Neerincx, Piek Vossen |
| 2023 | A Model-Agnostic Heuristics for Selective Classification. Andrea Pugnana, Salvatore Ruggieri |
| 2023 | A Multi-User Virtual World with Music Recommendations and Mood-Based Virtual Effects. Charats Burch, Robert Sprowl, Mehmet Ergezer |
| 2023 | A Mutually Enhanced Bidirectional Approach for Jointly Mining User Demand and Sentiment (Student Abstract). Xue Mao, Haoda Qian, Minjie Yuan, Qiudan Li |
| 2023 | A Neural Span-Based Continual Named Entity Recognition Model. Yunan Zhang, Qingcai Chen |
| 2023 | A New Challenge in Policy Evaluation. Shangtong Zhang |
| 2023 | A Noise-Tolerant Differentiable Learning Approach for Single Occurrence Regular Expression with Interleaving. Rongzhen Ye, Tianqu Zhuang, Hai Wan, Jianfeng Du, Weilin Luo, Pingjia Liang |
| 2023 | A Pair-Approximation Method for Modelling the Dynamics of Multi-Agent Stochastic Games. Chen Chu, Zheng Yuan, Shuyue Hu, Chunjiang Mu, Zhen Wang |
| 2023 | A Parameterized Theory of PAC Learning. Cornelius Brand, Robert Ganian, Kirill Simonov |
| 2023 | A Probabilistic Graph Diffusion Model for Source Localization (Student Abstract). Tangjiang Qian, Xovee Xu, Zhe Xiao, Ting Zhong, Fan Zhou |
| 2023 | A Proof That Using Crossover Can Guarantee Exponential Speed-Ups in Evolutionary Multi-Objective Optimisation. Duc-Cuong Dang, Andre Opris, Bahare Salehi, Dirk Sudholt |
| 2023 | A Provable Framework of Learning Graph Embeddings via Summarization. Houquan Zhou, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng |
| 2023 | A Question-Answering Approach to Key Value Pair Extraction from Form-Like Document Images. Kai Hu, Zhuoyuan Wu, Zhuoyao Zhong, Weihong Lin, Lei Sun, Qiang Huo |
| 2023 | A Reinforcement Learning Badminton Environment for Simulating Player Tactics (Student Abstract). Li-Chun Huang, Nai-Zen Hseuh, Yen-Che Chien, Wei-Yao Wang, Kuang-Da Wang, Wen-Chih Peng |
| 2023 | A Risk-Sensitive Approach to Policy Optimization. Jared Markowitz, Ryan W. Gardner, Ashley J. Llorens, Raman Arora, I-Jeng Wang |
| 2023 | A Robust and Scalable Stacked Ensemble for Day-Ahead Forecasting of Distribution Network Losses. Gunnar Grotmol, Eivind Hovdegård Furdal, Nisha Dalal, Are Løkken Ottesen, Ella-Lovise Hammervold Rørvik, Martin Mølnå, Gleb Sizov, Odd Erik Gundersen |
| 2023 | A Scope Sensitive and Result Attentive Model for Multi-Intent Spoken Language Understanding. Lizhi Cheng, Wenmian Yang, Weijia Jia |
| 2023 | A Semi-parametric Model for Decision Making in High-Dimensional Sensory Discrimination Tasks. Stephen Keeley, Benjamin Letham, Craig Sanders, Chase Tymms, Michael Shvartsman |
| 2023 | A Semidefinite Relaxation Based Branch-and-Bound Method for Tight Neural Network Verification. Jianglin Lan, Benedikt Brückner, Alessio Lomuscio |
| 2023 | A Set of Control Points Conditioned Pedestrian Trajectory Prediction. Inhwan Bae, Hae-Gon Jeon |
| 2023 | A Simple Baseline for Multi-Camera 3D Object Detection. Yunpeng Zhang, Wenzhao Zheng, Zheng Zhu, Guan Huang, Jiwen Lu, Jie Zhou |
| 2023 | A Simple Unified Approach to Testing High-Dimensional Conditional Independences for Categorical and Ordinal Data. Ankur Ankan, Johannes Textor |
| 2023 | A Simple Yet Effective Subsequence-Enhanced Approach for Cross-Domain NER. Jinpeng Hu, Dandan Guo, Yang Liu, Zhuo Li, Zhihong Chen, Xiang Wan, Tsung-Hui Chang |
| 2023 | A Speaker Turn-Aware Multi-Task Adversarial Network for Joint User Satisfaction Estimation and Sentiment Analysis. Kaisong Song, Yangyang Kang, Jiawei Liu, Xurui Li, Changlong Sun, Xiaozhong Liu |
| 2023 | A Structural Complexity Analysis of Synchronous Dynamical Systems. Eduard Eiben, Robert Ganian, Thekla Hamm, Viktoriia Korchemna |
| 2023 | A Study of Students' Learning of Computing through an LP-Based Integrated Curriculum for Middle Schools. Joshua Archer, Rory Eckel, Joshua Hawkins, Jianlan Wang, Darrel Musslewhite, Yuanlin Zhang |
| 2023 | A Survey on Model Compression and Acceleration for Pretrained Language Models. Canwen Xu, Julian J. McAuley |
| 2023 | A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-Run Langevin Flow for Approximate Inference. Jianwen Xie, Yaxuan Zhu, Yifei Xu, Dingcheng Li, Ping Li |
| 2023 | A Tool for Generating Controllable Variations of Musical Themes Using Variational Autoencoders with Latent Space Regularisation. Berker Banar, Nick Bryan-Kinns, Simon Colton |
| 2023 | A Vector Quantized Approach for Text to Speech Synthesis on Real-World Spontaneous Speech. Li-Wei Chen, Shinji Watanabe, Alexander Rudnicky |
| 2023 | AAAI New Faculty Highlights: General and Scalable Optimization for Robust AI. Sijia Liu |
| 2023 | AC-Band: A Combinatorial Bandit-Based Approach to Algorithm Configuration. Jasmin Brandt, Elias Schede, Björn Haddenhorst, Viktor Bengs, Eyke Hüllermeier, Kevin Tierney |
| 2023 | ACCD: An Adaptive Clustering-Based Collusion Detector in Crowdsourcing (Student Abstract). Ruoyu Xu, Gaoxiang Li, Wei Jin, Austin Chen, Victor S. Sheng |
| 2023 | ACE: Cooperative Multi-Agent Q-learning with Bidirectional Action-Dependency. Chuming Li, Jie Liu, Yinmin Zhang, Yuhong Wei, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang |
| 2023 | ACL-Net: Semi-supervised Polyp Segmentation via Affinity Contrastive Learning. Huisi Wu, Wende Xie, Jingyin Lin, Xinrong Guo |
| 2023 | ADEPT: A DEbiasing PrompT Framework. Ke Yang, Charles Yu, Yi Ren Fung, Manling Li, Heng Ji |
| 2023 | ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels. Yue Zhao, Guoqing Zheng, Subhabrata Mukherjee, Robert McCann, Ahmed Awadallah |
| 2023 | AEC-GAN: Adversarial Error Correction GANs for Auto-Regressive Long Time-Series Generation. Lei Wang, Liang Zeng, Jian Li |
| 2023 | AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes. Zhiqiang Zhou, Chaoli Zhang, Lingna Ma, Jing Gu, Huajie Qian, Qingsong Wen, Liang Sun, Peng Li, Zhimin Tang |
| 2023 | AI Audit: A Card Game to Reflect on Everyday AI Systems. Safinah Arshad Ali, Vishesh Kumar, Cynthia Breazeal |
| 2023 | AI Made by Youth: A Conversational AI Curriculum for Middle School Summer Camps. Yukyeong Song, Gloria Ashiya Katuka, Joanne Barrett, Xiaoyi Tian, Amit Kumar, Tom McKlin, Mehmet Celepkolu, Kristy Elizabeth Boyer, Maya Israel |
| 2023 | AI Model Factory: Scaling AI for Industry 4.0 Applications. Dhaval Patel, Shuxin Lin, Dhruv Shah, Srideepika Jayaraman, Joern Ploennigs, Anuradha Bhamidipati, Jayant Kalagnanam |
| 2023 | AI and Parallelism in CS1: Experiences and Analysis. Steven Bogaerts |
| 2023 | AI for Equitable, Data-Driven Decisions in Public Health. Bryan Wilder |
| 2023 | AI-SNIPS: A Platform for Network Intelligence-Based Pharmaceutical Security. Timothy A. Burt, Nikos I. Passas, Ioannis A. Kakadiaris |
| 2023 | AIO-P: Expanding Neural Performance Predictors beyond Image Classification. Keith G. Mills, Di Niu, Mohammad Salameh, Weichen Qiu, Fred X. Han, Puyuan Liu, Jialin Zhang, Wei Lu, Shangling Jui |
| 2023 | AMOM: Adaptive Masking over Masking for Conditional Masked Language Model. Yisheng Xiao, Ruiyang Xu, Lijun Wu, Juntao Li, Tao Qin, Tie-Yan Liu, Min Zhang |
| 2023 | AUC Maximization for Low-Resource Named Entity Recognition. Ngoc Dang Nguyen, Wei Tan, Lan Du, Wray L. Buntine, Richard Beare, Changyou Chen |
| 2023 | AVCAffe: A Large Scale Audio-Visual Dataset of Cognitive Load and Affect for Remote Work. Pritam Sarkar, Aaron Posen, Ali Etemad |
| 2023 | Abstract Argumentation Framework with Conditional Preferences. Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna |
| 2023 | Accelerating Inverse Learning via Intelligent Localization with Exploratory Sampling. Sirui Bi, Victor Fung, Jiaxin Zhang |
| 2023 | Accelerating the Training of Video Super-resolution Models. Lijian Lin, Xintao Wang, Zhongang Qi, Ying Shan |
| 2023 | Acceleration of Large Transformer Model Training by Sensitivity-Based Layer Dropping. Yujie Zeng, Wenlong He, Ihor V. Vasyltsov, Jiali Pang, Lin Chen |
| 2023 | Accommodating Audio Modality in CLIP for Multimodal Processing. Ludan Ruan, Anwen Hu, Yuqing Song, Liang Zhang, Sipeng Zheng, Qin Jin |
| 2023 | Accountability Layers: Explaining Complex System Failures by Parts. Leilani H. Gilpin |
| 2023 | Accurate Detection of Weld Seams for Laser Welding in Real-World Manufacturing. Rabia Ali, Muhammad Sarmad, Jawad Tayyub, Alexander Vogel |
| 2023 | Accurate Fairness: Improving Individual Fairness without Trading Accuracy. Xuran Li, Peng Wu, Jing Su |
| 2023 | Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm. Qinbo Bai, Amrit Singh Bedi, Vaneet Aggarwal |
| 2023 | Action-Conditioned Generation of Bimanual Object Manipulation Sequences. Haziq Razali, Yiannis Demiris |
| 2023 | Actional Atomic-Concept Learning for Demystifying Vision-Language Navigation. Bingqian Lin, Yi Zhu, Xiaodan Liang, Liang Lin, Jianzhuang Liu |
| 2023 | Actionness Inconsistency-Guided Contrastive Learning for Weakly-Supervised Temporal Action Localization. Zhilin Li, Zilei Wang, Qinying Liu |
| 2023 | Active Token Mixer. Guoqiang Wei, Zhizheng Zhang, Cuiling Lan, Yan Lu, Zhibo Chen |
| 2023 | AdaBoost.C2: Boosting Classifiers Chains for Multi-Label Classification. Jiaxuan Li, Xiaoyan Zhu, Jiayin Wang |
| 2023 | AdaCM: Adaptive ColorMLP for Real-Time Universal Photo-Realistic Style Transfer. Tianwei Lin, Honglin Lin, Fu Li, Dongliang He, Wenhao Wu, Meiling Wang, Xin Li, Yong Liu |
| 2023 | AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning. Enneng Yang, Junwei Pan, Ximei Wang, Haibin Yu, Li Shen, Xihua Chen, Lei Xiao, Jie Jiang, Guibing Guo |
| 2023 | AdapSafe: Adaptive and Safe-Certified Deep Reinforcement Learning-Based Frequency Control for Carbon-Neutral Power Systems. Xu Wan, Mingyang Sun, Boli Chen, Zhongda Chu, Fei Teng |
| 2023 | Adapting Object Size Variance and Class Imbalance for Semi-supervised Object Detection. Yuxiang Nie, Chaowei Fang, Lechao Cheng, Liang Lin, Guanbin Li |
| 2023 | Adaptive Constraint Partition Based Optimization Framework for Large-Scale Integer Linear Programming (Student Abstract). Huigen Ye, Hongyan Wang, Hua Xu, Chengming Wang, Yu Jiang |
| 2023 | Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization for Heterogeneous Representational Coarseness. Dianbo Liu, Alex Lamb, Xu Ji, Pascal Tikeng Notsawo Jr., Michael Mozer, Yoshua Bengio, Kenji Kawaguchi |
| 2023 | Adaptive Dynamic Filtering Network for Image Denoising. Hao Shen, Zhong-Qiu Zhao, Wandi Zhang |
| 2023 | Adaptive Hierarchy-Branch Fusion for Online Knowledge Distillation. Linrui Gong, Shaohui Lin, Baochang Zhang, Yunhang Shen, Ke Li, Ruizhi Qiao, Bo Ren, Muqing Li, Zhou Yu, Lizhuang Ma |
| 2023 | Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction. Shiwei Li, Huifeng Guo, Lu Hou, Wei Zhang, Xing Tang, Ruiming Tang, Rui Zhang, Ruixuan Li |
| 2023 | Adaptive Mixing of Auxiliary Losses in Supervised Learning. Durga Sivasubramanian, Ayush Maheshwari, Prathosh AP, Pradeep Shenoy, Ganesh Ramakrishnan |
| 2023 | Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models. Pasquale Minervini, Luca Franceschi, Mathias Niepert |
| 2023 | Adaptive Policy Learning for Offline-to-Online Reinforcement Learning. Han Zheng, Xufang Luo, Pengfei Wei, Xuan Song, Dongsheng Li, Jing Jiang |
| 2023 | Adaptive Temporal Planning for Multi-Robot Systems in Operations and Maintenance of Offshore Wind Farms. Ferdian Jovan, Sara Bernardini |
| 2023 | Adaptive Texture Filtering for Single-Domain Generalized Segmentation. Xinhui Li, Mingjia Li, Yaxing Wang, Chuan-Xian Ren, Xiaojie Guo |
| 2023 | Adjective Scale Probe: Can Language Models Encode Formal Semantics Information? Wei Liu, Ming Xiang, Nai Ding |
| 2023 | Advances in AI for Safety, Equity, and Well-Being on Web and Social Media: Detection, Robustness, Attribution, and Mitigation. Srijan Kumar |
| 2023 | Adversarial Alignment for Source Free Object Detection. Qiaosong Chu, Shuyan Li, Guangyi Chen, Kai Li, Xiu Li |
| 2023 | Adversarial Robust Deep Reinforcement Learning Requires Redefining Robustness. Ezgi Korkmaz |
| 2023 | Adversarial Self-Attention for Language Understanding. Hongqiu Wu, Ruixue Ding, Hai Zhao, Pengjun Xie, Fei Huang, Min Zhang |
| 2023 | Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks. Yihan Wu, Aleksandar Bojchevski, Heng Huang |
| 2023 | Adversarial Word Dilution as Text Data Augmentation in Low-Resource Regime. Junfan Chen, Richong Zhang, Zheyan Luo, Chunming Hu, Yongyi Mao |
| 2023 | Aesthetically Relevant Image Captioning. Zhipeng Zhong, Fei Zhou, Guoping Qiu |
| 2023 | AirFormer: Predicting Nationwide Air Quality in China with Transformers. Yuxuan Liang, Yutong Xia, Songyu Ke, Yiwei Wang, Qingsong Wen, Junbo Zhang, Yu Zheng, Roger Zimmermann |
| 2023 | Alignment-Enriched Tuning for Patch-Level Pre-trained Document Image Models. Lei Wang, Jiabang He, Xing Xu, Ning Liu, Hui Liu |
| 2023 | Almost Cost-Free Communication in Federated Best Arm Identification. Srinivas Reddy Kota, P. N. Karthik, Vincent Y. F. Tan |
| 2023 | AlphaRoute: Large-Scale Coordinated Route Planning via Monte Carlo Tree Search. Guiyang Luo, Yantao Wang, Hui Zhang, Quan Yuan, Jinglin Li |
| 2023 | AlphaSnake: Policy Iteration on a Nondeterministic NP-Hard Markov Decision Process (Student Abstract). Kevin Du, Ian Gemp, Yi Wu, Yingying Wu |
| 2023 | Alternating Layered Variational Quantum Circuits Can Be Classically Optimized Efficiently Using Classical Shadows. Afrad Basheer, Yuan Feng, Christopher Ferrie, Sanjiang Li |
| 2023 | AmnioML: Amniotic Fluid Segmentation and Volume Prediction with Uncertainty Quantification. Daniel Csillag, Lucas Monteiro Paes, Thiago Ramos, João Vitor Romano, Rodrigo Schuller, Roberto de Beauclair Seixas, Roberto I. Oliveira, Paulo Orenstein |
| 2023 | Amodal Instance Segmentation via Prior-Guided Expansion. Junjie Chen, Li Niu, Jianfu Zhang, Jianlou Si, Chen Qian, Liqing Zhang |
| 2023 | An Adaptive Layer to Leverage Both Domain and Task Specific Information from Scarce Data. Gaël Guibon, Matthieu Labeau, Luce Lefeuvre, Chloé Clavel |
| 2023 | An Analysis of Engineering Students' Responses to an AI Ethics Scenario. Alexi Orchard, David Radke |
| 2023 | An Analysis of the Deliberation and Task Performance of an Active Logic Based Agent (Student Abstract). Anthony Herron, Darsana P. Josyula |
| 2023 | An Efficient Algorithm for Fair Multi-Agent Multi-Armed Bandit with Low Regret. Matthew Jones, Huy L. Nguyen, Thy Dinh Nguyen |
| 2023 | An Efficient Deep Reinforcement Learning Algorithm for Solving Imperfect Information Extensive-Form Games. Linjian Meng, Zhenxing Ge, Pinzhuo Tian, Bo An, Yang Gao |
| 2023 | An Emotion-Guided Approach to Domain Adaptive Fake News Detection Using Adversarial Learning (Student Abstract). Arkajyoti Chakraborty, Inder Khatri, Arjun Choudhry, Pankaj Gupta, Dinesh Kumar Vishwakarma, Mukesh Prasad |
| 2023 | An Ensemble Distillation Framework for Sentence Embeddings with Multilingual Round-Trip Translation. Tianyu Zong, Likun Zhang |
| 2023 | An Equivalence Analysis of Binary Quantification Methods. Alberto Castaño, Jaime Alonso, Pablo González, Juan José del Coz |
| 2023 | An Explainable Forecasting System for Humanitarian Needs Assessment. Rahul Nair, Bo Schwartz Madsen, Alexander Kjærum |
| 2023 | An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks. Yanhong Li, Jack Xu, David C. Anastasiu |
| 2023 | An Improved Algorithm for Online Min-Sum Set Cover. Marcin Bienkowski, Marcin Mucha |
| 2023 | An Improved Approximation Algorithm for Wage Determination and Online Task Allocation in Crowd-Sourcing. Yuya Hikima, Yasunori Akagi, Hideaki Kim, Taichi Asami |
| 2023 | An Introduction to Rule-Based Feature and Object Perception for Middle School Students. Daniella DiPaola, Parker Malachowsky, Nancye Blair Black, Sharifa Alghowinem, Xiaoxue Du, Cynthia Breazeal |
| 2023 | An Online Presentation Slide Assessment System Using Visual and Semantic Segmentation Features. Shengzhou Yi, Junichiro Matsugami, Hiroshi Yumoto, Toshihiko Yamasaki |
| 2023 | An Operator Theoretic Approach for Analyzing Sequence Neural Networks. Ilan Naiman, Omri Azencot |
| 2023 | Analogical Inference Enhanced Knowledge Graph Embedding. Zhen Yao, Wen Zhang, Mingyang Chen, Yufeng Huang, Yi Yang, Huajun Chen |
| 2023 | Analyzing and Improving the Use of the FastMap Embedding in Pathfinding Tasks. Reza Mashayekhi, Dor Atzmon, Nathan R. Sturtevant |
| 2023 | AnimateSVG: Autonomous Creation and Aesthetics Evaluation of Scalable Vector Graphics Animations for the Case of Brand Logos. Deborah Mateja, Rebecca Armbruster, Jonathan Baumert, Tim Bleil, Jakob Langenbahn, Jan Christian Schwedhelm, Sarah Sester, Armin Heinzl |
| 2023 | AnoViz: A Visual Inspection Tool of Anomalies in Multivariate Time Series. Patara Trirat, Youngeun Nam, Taeyoon Kim, Jae-Gil Lee |
| 2023 | Anomaly Segmentation for High-Resolution Remote Sensing Images Based on Pixel Descriptors. Jingtao Li, Xinyu Wang, Hengwei Zhao, Shaoyu Wang, Yanfei Zhong |
| 2023 | Anonymization for Skeleton Action Recognition. Saemi Moon, Myeonghyeon Kim, Zhenyue Qin, Yang Liu, Dongwoo Kim |
| 2023 | Anti-drifting Feature Selection via Deep Reinforcement Learning (Student Abstract). Aoran Wang, Hongyang Yang, Feng Mao, Zongzhang Zhang, Yang Yu, Xiaoyang Liu |
| 2023 | Anytime User Engagement Prediction in Information Cascades for Arbitrary Observation Periods. Akshay Aravamudan, Xi Zhang, Georgios C. Anagnostopoulos |
| 2023 | Approval-Based Voting with Mixed Goods. Xinhang Lu, Jannik Peters, Haris Aziz, Xiaohui Bei, Warut Suksompong |
| 2023 | Approximating Full Conformal Prediction at Scale via Influence Functions. Javier Abad Martinez, Umang Bhatt, Adrian Weller, Giovanni Cherubin |
| 2023 | Approximations for Indivisible Concave Allocations with Applications to Nash Welfare Maximization. Nathaniel Kell, Kevin Sun |
| 2023 | Are Transformers Effective for Time Series Forecasting? Ailing Zeng, Muxi Chen, Lei Zhang, Qiang Xu |
| 2023 | Artificial Intelligence at the Service of Society to Analyse Human Arguments. Serena Villata |
| 2023 | AsT: An Asymmetric-Sensitive Transformer for Osteonecrosis of the Femoral Head Detection (Student Abstract). Haoyang Chen, Shuai Liu, Feng Lu, Wei Li, Bin Sheng, Mi Li, Hai Jin, Albert Y. Zomaya |
| 2023 | Assessing Learned Representations under Open-World Novelty. Kaleigh Clary |
| 2023 | Astromorphic Self-Repair of Neuromorphic Hardware Systems. Zhuangyu Han, A. N. M. Nafiul Islam, Abhronil Sengupta |
| 2023 | Asynchronous Event Processing with Local-Shift Graph Convolutional Network. Linhui Sun, Yifan Zhang, Jian Cheng, Hanqing Lu |
| 2023 | Attack Can Benefit: An Adversarial Approach to Recognizing Facial Expressions under Noisy Annotations. Jiawen Zheng, Bo Li, Shengchuan Zhang, Shuang Wu, Liujuan Cao, Shouhong Ding |
| 2023 | Attention-Based Depth Distillation with 3D-Aware Positional Encoding for Monocular 3D Object Detection. Zizhang Wu, Yunzhe Wu, Jian Pu, Xianzhi Li, Xiaoquan Wang |
| 2023 | Attention-Conditioned Augmentations for Self-Supervised Anomaly Detection and Localization. Behzad Bozorgtabar, Dwarikanath Mahapatra |
| 2023 | Attribute and Structure Preserving Graph Contrastive Learning. Jialu Chen, Gang Kou |
| 2023 | Audio-Visual Contrastive Learning with Temporal Self-Supervision. Simon Jenni, Alexander Black, John P. Collomosse |
| 2023 | AudioEar: Single-View Ear Reconstruction for Personalized Spatial Audio. Xiaoyang Huang, Yanjun Wang, Yang Liu, Bingbing Ni, Wenjun Zhang, Jinxian Liu, Teng Li |
| 2023 | Auditing and Robustifying COVID-19 Misinformation Datasets via Anticontent Sampling. Clay H. Yoo, Ashiqur R. KhudaBukhsh |
| 2023 | Augmented Proximal Policy Optimization for Safe Reinforcement Learning. Juntao Dai, Jiaming Ji, Long Yang, Qian Zheng, Gang Pan |
| 2023 | Augmenting Affective Dependency Graph via Iterative Incongruity Graph Learning for Sarcasm Detection. Xiaobao Wang, Yiqi Dong, Di Jin, Yawen Li, Longbiao Wang, Jianwu Dang |
| 2023 | Augmenting Flight Training with AI to Efficiently Train Pilots. Michael Guevarra, Srijita Das, Christabel Wayllace, Carrie Demmans Epp, Matthew E. Taylor, Alan Tay |
| 2023 | Auto-CM: Unsupervised Deep Learning for Satellite Imagery Composition and Cloud Masking Using Spatio-Temporal Dynamics. Yiqun Xie, Zhili Li, Han Bao, Xiaowei Jia, Dongkuan Xu, Xun Zhou, Sergii Skakun |
| 2023 | Auto-Weighted Multi-View Clustering for Large-Scale Data. Xinhang Wan, Xinwang Liu, Jiyuan Liu, Siwei Wang, Yi Wen, Weixuan Liang, En Zhu, Zhe Liu, Lu Zhou |
| 2023 | AutoCost: Evolving Intrinsic Cost for Zero-Violation Reinforcement Learning. Tairan He, Weiye Zhao, Changliu Liu |
| 2023 | AutoGraph: Optimizing DNN Computation Graph for Parallel GPU Kernel Execution. Yuxuan Zhao, Qi Sun, Zhuolun He, Yang Bai, Bei Yu |
| 2023 | AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks. Garrett Bingham, Risto Miikkulainen |
| 2023 | AutoNF: Automated Architecture Optimization of Normalizing Flows with Unconstrained Continuous Relaxation Admitting Optimal Discrete Solution. Yu Wang, Ján Drgona, Jiaxin Zhang, Karthik Somayaji Nanjangud Suryanarayana, Malachi Schram, Frank Liu, Peng Li |
| 2023 | AutoSTL: Automated Spatio-Temporal Multi-Task Learning. Zijian Zhang, Xiangyu Zhao, Hao Miao, Chunxu Zhang, Hongwei Zhao, Junbo Zhang |
| 2023 | AutoStegaFont: Synthesizing Vector Fonts for Hiding Information in Documents. Xi Yang, Jie Zhang, Han Fang, Chang Liu, Zehua Ma, Weiming Zhang, Nenghai Yu |
| 2023 | Automata Cascades: Expressivity and Sample Complexity. Alessandro Ronca, Nadezda Alexandrovna Knorozova, Giuseppe De Giacomo |
| 2023 | Automated Verification of Propositional Agent Abstraction for Classical Planning via CTLK Model Checking. Kailun Luo |
| 2023 | Automated Verification of Social Laws in Numeric Settings. Ronen Nir, Alexander Shleyfman, Erez Karpas |
| 2023 | Automatically Verifying Expressive Epistemic Properties of Programs. Francesco Belardinelli, Ioana Boureanu, Vadim Malvone, Fortunat Rajaona |
| 2023 | Autonomous Agents: An Advanced Course on AI Integration and Deployment. Stephanie Rosenthal, Reid G. Simmons |
| 2023 | Avocodo: Generative Adversarial Network for Artifact-Free Vocoder. Taejun Bak, Junmo Lee, Hanbin Bae, Jinhyeok Yang, Jae-Sung Bae, Young-Sun Joo |
| 2023 | BERT-ERC: Fine-Tuning BERT Is Enough for Emotion Recognition in Conversation. Xiangyu Qin, Zhiyu Wu, Tingting Zhang, Yanran Li, Jian Luan, Bin Wang, Li Wang, Jinshi Cui |
| 2023 | BEST: BERT Pre-training for Sign Language Recognition with Coupling Tokenization. Weichao Zhao, Hezhen Hu, Wengang Zhou, Jiaxin Shi, Houqiang Li |
| 2023 | BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning. Haoyang Bi, Enhong Chen, Weidong He, Han Wu, Weihao Zhao, Shijin Wang, Jinze Wu |
| 2023 | BEVDepth: Acquisition of Reliable Depth for Multi-View 3D Object Detection. Yinhao Li, Zheng Ge, Guanyi Yu, Jinrong Yang, Zengran Wang, Yukang Shi, Jianjian Sun, Zeming Li |
| 2023 | BEVStereo: Enhancing Depth Estimation in Multi-View 3D Object Detection with Temporal Stereo. Yinhao Li, Han Bao, Zheng Ge, Jinrong Yang, Jianjian Sun, Zeming Li |
| 2023 | BIFRNet: A Brain-Inspired Feature Restoration DNN for Partially Occluded Image Recognition. Jiahong Zhang, Lihong Cao, Qiuxia Lai, Bingyao Li, Yunxiao Qin |
| 2023 | Back to the Future: Toward a Hybrid Architecture for Ad Hoc Teamwork. Hasra Dodampegama, Mohan Sridharan |
| 2023 | Backforward Propagation (Student Abstract). George Stoica, Cristian Simionescu |
| 2023 | Background-Mixed Augmentation for Weakly Supervised Change Detection. Rui Huang, Ruofei Wang, Qing Guo, Jieda Wei, Yuxiang Zhang, Wei Fan, Yang Liu |
| 2023 | Backpropagation-Free Deep Learning with Recursive Local Representation Alignment. Alexander G. Ororbia II, Ankur Mali, Daniel Kifer, C. Lee Giles |
| 2023 | Balanced Column-Wise Block Pruning for Maximizing GPU Parallelism. Cheonjun Park, Mincheol Park, Hyun Jae Oh, Minkyu Kim, Myung Kuk Yoon, Suhyun Kim, Won Woo Ro |
| 2023 | Balanced Meta Learning and Diverse Sampling for Lifelong Task-Oriented Dialogue Systems. Qiancheng Xu, Min Yang, Ruifeng Xu |
| 2023 | Ballot Length in Instant Runoff Voting. Kiran Tomlinson, Johan Ugander, Jon M. Kleinberg |
| 2023 | Bayesian Cross-Modal Alignment Learning for Few-Shot Out-of-Distribution Generalization. Lin Zhu, Xinbing Wang, Chenghu Zhou, Nanyang Ye |
| 2023 | Bayesian Federated Neural Matching That Completes Full Information. Peng Xiao, Samuel Cheng |
| 2023 | Bayesian Models for Targeted Cyber Deception Strategies (Student Abstract). Nazia Sharmin |
| 2023 | Bayesian Optimization-Based Combinatorial Assignment. Jakob Weissteiner, Jakob Heiss, Julien Siems, Sven Seuken |
| 2023 | Beam Search Optimized Batch Bayesian Active Learning. Jingyu Sun, Hongjie Zhai, Osamu Saisho, Susumu Takeuchi |
| 2023 | Behavior Estimation from Multi-Source Data for Offline Reinforcement Learning. Guoxi Zhang, Hisashi Kashima |
| 2023 | Behavioral Learning in Security Games: Threat of Multi-Step Manipulative Attacks. Thanh Hong Nguyen, Arunesh Sinha |
| 2023 | Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes. Chao Qu, Xiaoyu Tan, Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei |
| 2023 | Bespoke: A Block-Level Neural Network Optimization Framework for Low-Cost Deployment. Jong-Ryul Lee, Yong-Hyuk Moon |
| 2023 | Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion. Hengzhi Pei, Jinman Zhao, Leonard Lausen, Sheng Zha, George Karypis |
| 2023 | Better Environments for Better AI. Sarah Keren |
| 2023 | Better Generalized Few-Shot Learning Even without Base Data. Seong-Woong Kim, Dong-Wan Choi |
| 2023 | Better Peer Grading through Bayesian Inference. Hedayat Zarkoob, Greg d'Eon, Lena Podina, Kevin Leyton-Brown |
| 2023 | Better and Faster: Adaptive Event Conversion for Event-Based Object Detection. Yansong Peng, Yueyi Zhang, Peilin Xiao, Xiaoyan Sun, Feng Wu |
| 2023 | Beyond ADMM: A Unified Client-Variance-Reduced Adaptive Federated Learning Framework. Shuai Wang, Yanqing Xu, Zhiguo Wang, Tsung-Hui Chang, Tony Q. S. Quek, Defeng Sun |
| 2023 | Beyond Black-Boxes: Teaching Complex Machine Learning Ideas through Scaffolded Interactive Activities. Brian Broll, Shuchi Grover |
| 2023 | Beyond Graph Convolutional Network: An Interpretable Regularizer-Centered Optimization Framework. Shiping Wang, Zhihao Wu, Yuhong Chen, Yong Chen |
| 2023 | Beyond NaN: Resiliency of Optimization Layers in the Face of Infeasibility. Wai Tuck Wong, Sarah Eve Kinsey, Ramesha Karunasena, Thanh Hong Nguyen, Arunesh Sinha |
| 2023 | Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating. Yixin Liu, Yizhen Zheng, Daokun Zhang, Vincent C. S. Lee, Shirui Pan |
| 2023 | Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification. Jijie Wu, Dongliang Chang, Aneeshan Sain, Xiaoxu Li, Zhanyu Ma, Jie Cao, Jun Guo, Yi-Zhe Song |
| 2023 | BiRDy: Bullying Role Detection in Multi-Party Chats. Anaïs Ollagnier, Elena Cabrio, Serena Villata, Sara Tonelli |
| 2023 | Bidding Graph Games with Partially-Observable Budgets. Guy Avni, Ismaël Jecker, Dorde Zikelic |
| 2023 | Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation. Daehan Kim, Minseok Seo, Kwanyong Park, Inkyu Shin, Sanghyun Woo, In So Kweon, Dong-Geol Choi |
| 2023 | Bidirectional Optical Flow NeRF: High Accuracy and High Quality under Fewer Views. Shuo Chen, Binbin Yan, Xinzhu Sang, Duo Chen, Peng Wang, Xiao Guo, Chongli Zhong, Huaming Wan |
| 2023 | Bilinear Exponential Family of MDPs: Frequentist Regret Bound with Tractable Exploration & Planning. Reda Ouhamma, Debabrota Basu, Odalric Maillard |
| 2023 | Black-Box Adversarial Attack on Time Series Classification. Daizong Ding, Mi Zhang, Fuli Feng, Yuanmin Huang, Erling Jiang, Min Yang |
| 2023 | Blending Advertising with Organic Content in E-commerce via Virtual Bids. Carlos Carrion, Zenan Wang, Harikesh S. Nair, Xianghong Luo, Yulin Lei, Peiqin Gu, Xiliang Lin, Wenlong Chen, Junsheng Jin, Fanan Zhu, Changping Peng, Yongjun Bao, Zhangang Lin, Weipeng Yan, Jingping Shao |
| 2023 | Boosted Dynamic Neural Networks. Haichao Yu, Haoxiang Li, Gang Hua, Gao Huang, Humphrey Shi |
| 2023 | Boosting Few-Shot Text Classification via Distribution Estimation. Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Fenglong Ma, Xiao-Ming Wu, Hongyang Chen, Hong Yu, Xianchao Zhang |
| 2023 | Boosting Graph Neural Networks via Adaptive Knowledge Distillation. Zhichun Guo, Chunhui Zhang, Yujie Fan, Yijun Tian, Chuxu Zhang, Nitesh V. Chawla |
| 2023 | Boosting Point Clouds Rendering via Radiance Mapping. Xiaoyang Huang, Yi Zhang, Bingbing Ni, Teng Li, Kai Chen, Wenjun Zhang |
| 2023 | Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations. Haoyu Xie, Changqi Wang, Mingkai Zheng, Minjing Dong, Shan You, Chong Fu, Chang Xu |
| 2023 | Bootstrapping Multi-View Representations for Fake News Detection. Qichao Ying, Xiaoxiao Hu, Yangming Zhou, Zhenxing Qian, Dan Zeng, Shiming Ge |
| 2023 | Boundary Graph Neural Networks for 3D Simulations. Andreas Mayr, Sebastian Lehner, Arno Mayrhofer, Christoph Kloss, Sepp Hochreiter, Johannes Brandstetter |
| 2023 | Breaking Immutable: Information-Coupled Prototype Elaboration for Few-Shot Object Detection. Xiaonan Lu, Wenhui Diao, Yongqiang Mao, Junxi Li, Peijin Wang, Xian Sun, Kun Fu |
| 2023 | BridgeTower: Building Bridges between Encoders in Vision-Language Representation Learning. Xiao Xu, Chenfei Wu, Shachar Rosenman, Vasudev Lal, Wanxiang Che, Nan Duan |
| 2023 | Bugs in the Data: How ImageNet Misrepresents Biodiversity. Alexandra Sasha Luccioni, David Rolnick |
| 2023 | Build-a-Bot: Teaching Conversational AI Using a Transformer-Based Intent Recognition and Question Answering Architecture. Kate Pearce, Sharifa Alghowinem, Cynthia Breazeal |
| 2023 | Building Compositional Robot Autonomy with Modularity and Abstraction. Yuke Zhu |
| 2023 | C-NTPP: Learning Cluster-Aware Neural Temporal Point Process. Fangyu Ding, Junchi Yan, Haiyang Wang |
| 2023 | CALIP: Zero-Shot Enhancement of CLIP with Parameter-Free Attention. Ziyu Guo, Renrui Zhang, Longtian Qiu, Xianzheng Ma, Xupeng Miao, Xuming He, Bin Cui |
| 2023 | CCQ: Cross-Class Query Network for Partially Labeled Organ Segmentation. Xuyang Liu, Bingbing Wen, Sibei Yang |
| 2023 | CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems. Jiahao Xie, Chao Zhang, Zebang Shen, Weijie Liu, Hui Qian |
| 2023 | CDTA: A Cross-Domain Transfer-Based Attack with Contrastive Learning. Zihan Li, Weibin Wu, Yuxin Su, Zibin Zheng, Michael R. Lyu |
| 2023 | CEE-Net: Complementary End-to-End Network for 3D Human Pose Generation and Estimation. Haolun Li, Chi-Man Pun |
| 2023 | CEM: Constrained Entropy Maximization for Task-Agnostic Safe Exploration. Qisong Yang, Matthijs T. J. Spaan |
| 2023 | CEMA - Cost-Efficient Machine-Assisted Document Annotations. Guowen Yuan, Ben Kao, Tien-Hsuan Wu |
| 2023 | CF-ViT: A General Coarse-to-Fine Method for Vision Transformer. Mengzhao Chen, Mingbao Lin, Ke Li, Yunhang Shen, Yongjian Wu, Fei Chao, Rongrong Ji |
| 2023 | CFFT-GAN: Cross-Domain Feature Fusion Transformer for Exemplar-Based Image Translation. Tianxiang Ma, Bingchuan Li, Wei Liu, Miao Hua, Jing Dong, Tieniu Tan |
| 2023 | CKS: A Community-Based K-shell Decomposition Approach Using Community Bridge Nodes for Influence Maximization (Student Abstract). Inder Khatri, Aaryan Gupta, Arjun Choudhry, Aryan Tyagi, Dinesh Kumar Vishwakarma, Mukesh Prasad |
| 2023 | CL3D: Unsupervised Domain Adaptation for Cross-LiDAR 3D Detection. Xidong Peng, Xinge Zhu, Yuexin Ma |
| 2023 | CLGT: A Graph Transformer for Student Performance Prediction in Collaborative Learning. Tianhao Peng, Yu Liang, Wenjun Wu, Jian Ren, Zhao Pengrui, Yanjun Pu |
| 2023 | CLIP-ReID: Exploiting Vision-Language Model for Image Re-identification without Concrete Text Labels. Siyuan Li, Li Sun, Qingli Li |
| 2023 | CLIPVG: Text-Guided Image Manipulation Using Differentiable Vector Graphics. Yiren Song, Xuning Shao, Kang Chen, Weidong Zhang, Zhongliang Jing, Minzhe Li |
| 2023 | CLUE-AD: A Context-Based Method for Labeling Unobserved Entities in Autonomous Driving Data. Ruwan Wickramarachchi, Cory A. Henson, Amit P. Sheth |
| 2023 | CMNet: Contrastive Magnification Network for Micro-Expression Recognition. Mengting Wei, Xingxun Jiang, Wenming Zheng, Yuan Zong, Cheng Lu, Jiateng Liu |
| 2023 | CMVAE: Causal Meta VAE for Unsupervised Meta-Learning. Guodong Qi, Huimin Yu |
| 2023 | COCA: COllaborative CAusal Regularization for Audio-Visual Question Answering. Mingrui Lao, Nan Pu, Yu Liu, Kai He, Erwin M. Bakker, Michael S. Lew |
| 2023 | COLA: Improving Conversational Recommender Systems by Collaborative Augmentation. Dongding Lin, Jian Wang, Wenjie Li |
| 2023 | COSMOS: Catching Out-of-Context Image Misuse Using Self-Supervised Learning. Shivangi Aneja, Chris Bregler, Matthias Nießner |
| 2023 | CP-Rec: Contextual Prompting for Conversational Recommender Systems. Keyu Chen, Shiliang Sun |
| 2023 | CRAFT: Camera-Radar 3D Object Detection with Spatio-Contextual Fusion Transformer. Youngseok Kim, Sanmin Kim, Jun Won Choi, Dongsuk Kum |
| 2023 | CRIN: Rotation-Invariant Point Cloud Analysis and Rotation Estimation via Centrifugal Reference Frame. Yujing Lou, Zelin Ye, Yang You, Nianjuan Jiang, Jiangbo Lu, Weiming Wang, Lizhuang Ma, Cewu Lu |
| 2023 | CSTAR: Towards Compact and Structured Deep Neural Networks with Adversarial Robustness. Huy Phan, Miao Yin, Yang Sui, Bo Yuan, Saman A. Zonouz |
| 2023 | Calibrated Teacher for Sparsely Annotated Object Detection. Haohan Wang, Liang Liu, Boshen Zhang, Jiangning Zhang, Wuhao Zhang, Zhenye Gan, Yabiao Wang, Chengjie Wang, Haoqian Wang |
| 2023 | Can Adversarial Networks Make Uninformative Colonoscopy Video Frames Clinically Informative? (Student Abstract). Vanshali Sharma, Manas Kamal Bhuyan, Pradip K. Das |
| 2023 | Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks Using an Incompetent Teacher. Vikram S. Chundawat, Ayush K. Tarun, Murari Mandal, Mohan S. Kankanhalli |
| 2023 | Can Graph Neural Networks Learn to Solve the MaxSAT Problem? (Student Abstract). Minghao Liu, Pei Huang, Fuqi Jia, Fan Zhang, Yuchen Sun, Shaowei Cai, Feifei Ma, Jian Zhang |
| 2023 | Can Label-Specific Features Help Partial-Label Learning? Ruo-Jing Dong, Jun-Yi Hang, Tong Wei, Min-Ling Zhang |
| 2023 | Can We Find Strong Lottery Tickets in Generative Models? Sangyeop Yeo, Yoojin Jang, Jy-yong Sohn, Dongyoon Han, Jaejun Yoo |
| 2023 | Can We Trust Fair-AI? Salvatore Ruggieri, José M. Álvarez, Andrea Pugnana, Laura State, Franco Turini |
| 2023 | Can You Answer This? - Exploring Zero-Shot QA Generalization Capabilities in Large Language Models (Student Abstract). Saptarshi Sengupta, Shreya Ghosh, Preslav Nakov, Prasenjit Mitra |
| 2023 | Carburacy: Summarization Models Tuning and Comparison in Eco-Sustainable Regimes with a Novel Carbon-Aware Accuracy. Gianluca Moro, Luca Ragazzi, Lorenzo Valgimigli |
| 2023 | CasFusionNet: A Cascaded Network for Point Cloud Semantic Scene Completion by Dense Feature Fusion. Jinfeng Xu, Xianzhi Li, Yuan Tang, Qiao Yu, Yixue Hao, Long Hu, Min Chen |
| 2023 | CasODE: Modeling Irregular Information Cascade via Neural Ordinary Differential Equations (Student Abstract). Zhangtao Cheng, Xovee Xu, Ting Zhong, Fan Zhou, Goce Trajcevski |
| 2023 | Category-Guided Visual Question Generation (Student Abstract). Hongfei Liu, Jiali Chen, Wenhao Fang, Jiayuan Xie, Yi Cai |
| 2023 | Causal Conditional Hidden Markov Model for Multimodal Traffic Prediction. Yu Zhao, Pan Deng, Junting Liu, Xiaofeng Jia, Mulan Wang |
| 2023 | Causal Effect Identification in Cluster DAGs. Tara V. Anand, Adèle H. Ribeiro, Jin Tian, Elias Bareinboim |
| 2023 | Causal Inference with Conditional Instruments Using Deep Generative Models. Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le |
| 2023 | Causal Intervention for Human Trajectory Prediction with Cross Attention Mechanism. Chunjiang Ge, Shiji Song, Gao Huang |
| 2023 | Causal Recurrent Variational Autoencoder for Medical Time Series Generation. Hongming Li, Shujian Yu, José C. Príncipe |
| 2023 | Causes of Stability in Dynamic Coalition Formation. Niclas Boehmer, Martin Bullinger, Anna Maria Kerkmann |
| 2023 | Censored Fairness through Awareness. Wenbin Zhang, Tina Hernandez-Boussard, Jeremy C. Weiss |
| 2023 | Centerless Multi-View K-means Based on the Adjacency Matrix. Han Lu, Quanxue Gao, Qianqian Wang, Ming Yang, Wei Xia |
| 2023 | CertiFair: A Framework for Certified Global Fairness of Neural Networks. Haitham Khedr, Yasser Shoukry |
| 2023 | Certifiable Out-of-Distribution Generalization. Nanyang Ye, Lin Zhu, Jia Wang, Zhaoyu Zeng, Jiayao Shao, Chensheng Peng, Bikang Pan, Kaican Li, Jun Zhu |
| 2023 | Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning. Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Gaojie Jin, Qiang Ni |
| 2023 | Certifying Fairness of Probabilistic Circuits. Nikil Roashan Selvam, Guy Van den Broeck, YooJung Choi |
| 2023 | Channel Regeneration: Improving Channel Utilization for Compact DNNs. Ankit Kumar Sharma, Hassan Foroosh |
| 2023 | Characterizing Structural Hardness of Logic Programs: What Makes Cycles and Reachability Hard for Treewidth? Markus Hecher |
| 2023 | Circuit Minimization with QBF-Based Exact Synthesis. Franz-Xaver Reichl, Friedrich Slivovsky, Stefan Szeider |
| 2023 | City-Scale Pollution Aware Traffic Routing by Sampling Max Flows Using MCMC. Shreevignesh Suriyanarayanan, Praveen Paruchuri, Girish Varma |
| 2023 | Class Fairness in Online Matching. Hadi Hosseini, Zhiyi Huang, Ayumi Igarashi, Nisarg Shah |
| 2023 | Class Incremental Learning for Task-Oriented Dialogue System with Contrastive Distillation on Internal Representations (Student Abstract). Qiancheng Xu, Min Yang, Binzong Geng |
| 2023 | Class Overwhelms: Mutual Conditional Blended-Target Domain Adaptation. Pengcheng Xu, Boyu Wang, Charles Ling |
| 2023 | Class-Independent Regularization for Learning with Noisy Labels. Rumeng Yi, Dayan Guan, Yaping Huang, Shijian Lu |
| 2023 | ClassFormer: Exploring Class-Aware Dependency with Transformer for Medical Image Segmentation. Huimin Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Hong Wang, Yuexiang Li, Yawen Huang, Yefeng Zheng |
| 2023 | Cluster-Guided Contrastive Graph Clustering Network. Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Wenxuan Tu, Qun Zheng, Xinwang Liu, Liming Fang, En Zhu |
| 2023 | Clustered Federated Learning for Heterogeneous Data (Student Abstract). Xue Yu, Ziyi Liu, Yifan Sun, Wu Wang |
| 2023 | Clustering What Matters: Optimal Approximation for Clustering with Outliers. Akanksha Agrawal, Tanmay Inamdar, Saket Saurabh, Jie Xue |
| 2023 | Co-imitation: Learning Design and Behaviour by Imitation. Chang Rajani, Karol Arndt, David Blanco Mulero, Kevin Sebastian Luck, Ville Kyrki |
| 2023 | CoMAE: Single Model Hybrid Pre-training on Small-Scale RGB-D Datasets. Jiange Yang, Sheng Guo, Gangshan Wu, Limin Wang |
| 2023 | CoP: Factual Inconsistency Detection by Controlling the Preference. Shuaijie She, Xiang Geng, Shujian Huang, Jiajun Chen |
| 2023 | Coarse2Fine: Local Consistency Aware Re-prediction for Weakly Supervised Object Localization. Yixuan Pan, Yao Yao, Yichao Cao, Chongjin Chen, Xiaobo Lu |
| 2023 | Code-Aware Cross-Program Transfer Hyperparameter Optimization. Zijia Wang, Xiangyu He, Kehan Chen, Chen Lin, Jinsong Su |
| 2023 | CodeAttack: Code-Based Adversarial Attacks for Pre-trained Programming Language Models. Akshita Jha, Chandan K. Reddy |
| 2023 | CodeStylist: A System for Performing Code Style Transfer Using Neural Networks. Chih-Kai Ting, Karl Munson, Serenity Wade, Anish Savla, Kiran Kate, Kavitha Srinivas |
| 2023 | Cogito Ergo Summ: Abstractive Summarization of Biomedical Papers via Semantic Parsing Graphs and Consistency Rewards. Giacomo Frisoni, Paolo Italiani, Stefano Salvatori, Gianluca Moro |
| 2023 | Collective Intelligence in Human-AI Teams: A Bayesian Theory of Mind Approach. Samuel Westby, Christoph Riedl |
| 2023 | Collusion-Proof and Sybil-Proof Reward Mechanisms for Query Incentive Networks. Youjia Zhang, Pingzhong Tang |
| 2023 | Combating Disinformation on Social Media and Its Challenges: A Computational Perspective. Kai Shu |
| 2023 | Combating Mode Collapse via Offline Manifold Entropy Estimation. Haozhe Liu, Bing Li, Haoqian Wu, Hanbang Liang, Yawen Huang, Yuexiang Li, Bernard Ghanem, Yefeng Zheng |
| 2023 | Combating Unknown Bias with Effective Bias-Conflicting Scoring and Gradient Alignment. Bowen Zhao, Chen Chen, Qian-Wei Wang, Anfeng He, Shutao Xia |
| 2023 | Combinatorial Causal Bandits. Shi Feng, Wei Chen |
| 2023 | Combinatorial Civic Crowdfunding with Budgeted Agents: Welfare Optimality at Equilibrium and Optimal Deviation. Sankarshan Damle, Manisha Padala, Sujit Gujar |
| 2023 | Combining Adversaries with Anti-adversaries in Training. Xiaoling Zhou, Nan Yang, Ou Wu |
| 2023 | Combining Runtime Monitoring and Machine Learning with Human Feedback. Anna Lukina |
| 2023 | Combining Slow and Fast: Complementary Filtering for Dynamics Learning. Katharina Ensinger, Sebastian Ziesche, Barbara Rakitsch, Michael Tiemann, Sebastian Trimpe |
| 2023 | Commitment Games with Conditional Information Disclosure. Anthony DiGiovanni, Jesse Clifton |
| 2023 | Common Knowledge of Abstract Groups. Merlin Humml, Lutz Schröder |
| 2023 | Communication-Efficient Collaborative Best Arm Identification. Nikolai Karpov, Qin Zhang |
| 2023 | Compact Transformer Tracker with Correlative Masked Modeling. Zikai Song, Run Luo, Junqing Yu, Yi-Ping Phoebe Chen, Wei Yang |
| 2023 | Competition or Cooperation? Exploring Unlabeled Data via Challenging Minimax Game for Semi-supervised Relation Extraction. Yu Hong, Jiahang Li, Jianchuan Feng, Chenghua Huang, Zhixu Li, Jianfeng Qu, Yanghua Xiao, Wei Wang |
| 2023 | Competition, Alignment, and Equilibria in Digital Marketplaces. Meena Jagadeesan, Michael I. Jordan, Nika Haghtalab |
| 2023 | Complement Sparsification: Low-Overhead Model Pruning for Federated Learning. Xiaopeng Jiang, Cristian Borcea |
| 2023 | Complex Dynamic Neurons Improved Spiking Transformer Network for Efficient Automatic Speech Recognition. Qingyu Wang, Tielin Zhang, Minglun Han, Yi Wang, Duzhen Zhang, Bo Xu |
| 2023 | Complexity of Probabilistic Inference in Random Dichotomous Hedonic Games. Saar Cohen, Noa Agmon |
| 2023 | Complexity of Reasoning with Cardinality Minimality Conditions. Nadia Creignou, Frédéric Olive, Johannes Schmidt |
| 2023 | Complexity of Safety and coSafety Fragments of Linear Temporal Logic. Alessandro Artale, Luca Geatti, Nicola Gigante, Andrea Mazzullo, Angelo Montanari |
| 2023 | Compositional Prototypical Networks for Few-Shot Classification. Qiang Lyu, Weiqiang Wang |
| 2023 | Compressed Decentralized Learning of Conditional Mean Embedding Operators in Reproducing Kernel Hilbert Spaces. Boya Hou, Sina Sanjari, Nathan Dahlin, Subhonmesh Bose |
| 2023 | Compressed Heterogeneous Graph for Abstractive Multi-Document Summarization. Miao Li, Jianzhong Qi, Jey Han Lau |
| 2023 | Compressing Cross-Lingual Multi-Task Models at Qualtrics. Daniel Campos, Daniel J. Perry, Samir Joshi, Yashmeet Gambhir, Wei Du, Zhengzheng Xing, Aaron Colak |
| 2023 | Compressing Transformers: Features Are Low-Rank, but Weights Are Not! Hao Yu, Jianxin Wu |
| 2023 | Computably Continuous Reinforcement-Learning Objectives Are PAC-Learnable. Cambridge Yang, Michael Littman, Michael Carbin |
| 2023 | Computing Divergences between Discrete Decomposable Models. Loong Kuan Lee, Nico Piatkowski, François Petitjean, Geoffrey I. Webb |
| 2023 | ConTextual Masked Auto-Encoder for Dense Passage Retrieval. Xing Wu, Guangyuan Ma, Meng Lin, Zijia Lin, Zhongyuan Wang, Songlin Hu |
| 2023 | ConceptX: A Framework for Latent Concept Analysis. Firoj Alam, Fahim Dalvi, Nadir Durrani, Hassan Sajjad, Abdul Rafae Khan, Jia Xu |
| 2023 | Conceptual Reinforcement Learning for Language-Conditioned Tasks. Shaohui Peng, Xing Hu, Rui Zhang, Jiaming Guo, Qi Yi, Ruizhi Chen, Zidong Du, Ling Li, Qi Guo, Yunji Chen |
| 2023 | Concurrent Multi-Label Prediction in Event Streams. Xiao Shou, Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Kristin P. Bennett |
| 2023 | Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation. Han Huang, Leilei Sun, Bowen Du, Weifeng Lv |
| 2023 | Conditional Syntax Splitting for Non-monotonic Inference Operators. Jesse Heyninck, Gabriele Kern-Isberner, Thomas Andreas Meyer, Jonas Philipp Haldimann, Christoph Beierle |
| 2023 | Confidence-Aware Training of Smoothed Classifiers for Certified Robustness. Jongheon Jeong, Seojin Kim, Jinwoo Shin |
| 2023 | Conflicting Interactions among Protection Mechanisms for Machine Learning Models. Sebastian Szyller, N. Asokan |
| 2023 | Consensus Learning for Cooperative Multi-Agent Reinforcement Learning. Zhiwei Xu, Bin Zhang, Dapeng Li, Zeren Zhang, Guangchong Zhou, Hao Chen, Guoliang Fan |
| 2023 | Constrained Market Share Maximization by Signal-Guided Optimization. Bo Hui, Yuchen Fang, Tian Xia, Sarp Aykent, Wei-Shinn Ku |
| 2023 | Constrained Reinforcement Learning in Hard Exploration Problems. Pathmanathan Pankayaraj, Pradeep Varakantham |
| 2023 | Constrained Submodular Optimization for Vaccine Design. Zheng Dai, David K. Gifford |
| 2023 | Constraint Optimization over Semirings. Aduri Pavan, Kuldeep S. Meel, N. V. Vinodchandran, Arnab Bhattacharyya |
| 2023 | Context-Aware Analysis of Group Submissions for Group Anomaly Detection and Performance Prediction. Narges Norouzi, Amir Mazaheri |
| 2023 | Context-Aware Safe Medication Recommendations with Molecular Graph and DDI Graph Embedding. Qianyu Chen, Xin Li, Kunnan Geng, Mingzhong Wang |
| 2023 | Context-Aware Transformer for 3D Point Cloud Automatic Annotation. Xiaoyan Qian, Chang Liu, Xiaojuan Qi, Siew-Chong Tan, Edmund Y. Lam, Ngai Wong |
| 2023 | Continual Graph Convolutional Network for Text Classification. Tiandeng Wu, Qijiong Liu, Yi Cao, Yao Huang, Xiao-Ming Wu, Jiandong Ding |
| 2023 | Continual Learning with Scaled Gradient Projection. Gobinda Saha, Kaushik Roy |
| 2023 | Continual Variational Autoencoder via Continual Generative Knowledge Distillation. Fei Ye, Adrian G. Bors |
| 2023 | Continuous Mixtures of Tractable Probabilistic Models. Alvaro H. C. Correia, Gennaro Gala, Erik Quaeghebeur, Cassio P. de Campos, Robert Peharz |
| 2023 | Continuous Trajectory Generation Based on Two-Stage GAN. Wenjun Jiang, Wayne Xin Zhao, Jingyuan Wang, Jiawei Jiang |
| 2023 | ContraFeat: Contrasting Deep Features for Semantic Discovery. Xinqi Zhu, Chang Xu, Dacheng Tao |
| 2023 | Contrastive Attention Networks for Attribution of Early Modern Print. Nikolai Vogler, Kartik Goyal, Kishore PV Reddy, Elizaveta Pertseva, Samuel V. Lemley, Christopher N. Warren, Max G'Sell, Taylor Berg-Kirkpatrick |
| 2023 | Contrastive Classification and Representation Learning with Probabilistic Interpretation. Rahaf Aljundi, Yash Patel, Milan Sulc, Nikolay Chumerin, Daniel Olmeda Reino |
| 2023 | Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition. Shunyu Liu, Yihe Zhou, Jie Song, Tongya Zheng, Kaixuan Chen, Tongtian Zhu, Zunlei Feng, Mingli Song |
| 2023 | Contrastive Learning Reduces Hallucination in Conversations. Weiwei Sun, Zhengliang Shi, Shen Gao, Pengjie Ren, Maarten de Rijke, Zhaochun Ren |
| 2023 | Contrastive Learning with the Feature Reconstruction Amplifier. Wentao Cui, Liang Bai |
| 2023 | Contrastive Masked Autoencoders for Self-Supervised Video Hashing. Yuting Wang, Jinpeng Wang, Bin Chen, Ziyun Zeng, Shu-Tao Xia |
| 2023 | Contrastive Multi-Task Dense Prediction. Siwei Yang, Hanrong Ye, Dan Xu |
| 2023 | Contrastive Open Set Recognition. Baile Xu, Furao Shen, Jian Zhao |
| 2023 | Contrastive Pre-training with Adversarial Perturbations for Check-In Sequence Representation Learning. Letian Gong, Youfang Lin, Shengnan Guo, Yan Lin, Tianyi Wang, Erwen Zheng, Zeyu Zhou, Huaiyu Wan |
| 2023 | Contrastive Predictive Autoencoders for Dynamic Point Cloud Self-Supervised Learning. Xiaoxiao Sheng, Zhiqiang Shen, Gang Xiao |
| 2023 | Contrastive Self-Supervised Learning Leads to Higher Adversarial Susceptibility. Rohit Gupta, Naveed Akhtar, Ajmal Mian, Mubarak Shah |
| 2023 | Controllable Image Captioning via Prompting. Ning Wang, Jiahao Xie, Jihao Wu, Mingbo Jia, Linlin Li |
| 2023 | Controlling Class Layout for Deep Ordinal Classification via Constrained Proxies Learning. Cong Wang, Zhiwei Jiang, Yafeng Yin, Zifeng Cheng, Shiping Ge, Qing Gu |
| 2023 | ConvMatch: Rethinking Network Design for Two-View Correspondence Learning. Shihua Zhang, Jiayi Ma |
| 2023 | ConvNTM: Conversational Neural Topic Model. Hongda Sun, Quan Tu, Jinpeng Li, Rui Yan |
| 2023 | Converge to the Truth: Factual Error Correction via Iterative Constrained Editing. Jiangjie Chen, Rui Xu, Wenxuan Zeng, Changzhi Sun, Lei Li, Yanghua Xiao |
| 2023 | CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning. Yang Zhao, Jianwen Xie, Ping Li |
| 2023 | Cooperative Multi-Agent Learning in a Complex World: Challenges and Solutions. Yali Du |
| 2023 | Cooperative and Adversarial Learning: Co-enhancing Discriminability and Transferability in Domain Adaptation. Hui Sun, Zheng Xie, Xin-Ye Li, Ming Li |
| 2023 | CoordFill: Efficient High-Resolution Image Inpainting via Parameterized Coordinate Querying. Weihuang Liu, Xiaodong Cun, Chi-Man Pun, Menghan Xia, Yong Zhang, Jue Wang |
| 2023 | Coordinate Descent Methods for DC Minimization: Optimality Conditions and Global Convergence. Ganzhao Yuan |
| 2023 | Copyright-Certified Distillation Dataset: Distilling One Million Coins into One Bitcoin with Your Private Key. Tengjun Liu, Ying Chen, Wanxuan Gu |
| 2023 | Correct for Whom? Subjectivity and the Evaluation of Personalized Image Aesthetics Assessment Models. Samuel Goree, Weslie Khoo, David J. Crandall |
| 2023 | Correct-by-Construction Reinforcement Learning of Cardiac Pacemakers from Duration Calculus Requirements. Kalyani Dole, Ashutosh Gupta, John Komp, Shankaranarayanan Krishna, Ashutosh Trivedi |
| 2023 | Correlation Loss: Enforcing Correlation between Classification and Localization. Fehmi Kahraman, Kemal Oksuz, Sinan Kalkan, Emre Akbas |
| 2023 | Correspondence-Free Domain Alignment for Unsupervised Cross-Domain Image Retrieval. Xu Wang, Dezhong Peng, Ming Yan, Peng Hu |
| 2023 | Corruption-Tolerant Algorithms for Generalized Linear Models. Bhaskar Mukhoty, Debojyoti Dey, Purushottam Kar |
| 2023 | Cosmic Microwave Background Recovery: A Graph-Based Bayesian Convolutional Network Approach. Jadie Adams, Steven Lu, Krzysztof M. Gorski, Graca Rocha, Kiri L. Wagstaff |
| 2023 | Counterfactual Dynamics Forecasting - a New Setting of Quantitative Reasoning. Yanzhu Liu, Ying Sun, Joo-Hwee Lim |
| 2023 | Counterfactual Fairness Is Basically Demographic Parity. Lucas Rosenblatt, R. Teal Witter |
| 2023 | Counterfactual Learning with General Data-Generating Policies. Yusuke Narita, Kyohei Okumura, Akihiro Shimizu, Kohei Yata |
| 2023 | Counterfactuals for the Future. Lucius E. J. Bynum, Joshua R. Loftus, Julia Stoyanovich |
| 2023 | Counting Knot Mosaics with ALLSAT (Student Abstract). Hannah Miller |
| 2023 | Coupling Artificial Neurons in BERT and Biological Neurons in the Human Brain. Xu Liu, Mengyue Zhou, Gaosheng Shi, Yu Du, Lin Zhao, Zihao Wu, David Liu, Tianming Liu, Xintao Hu |
| 2023 | Covariate-Shift Generalization via Random Sample Weighting. Yue He, Xinwei Shen, Renzhe Xu, Tong Zhang, Yong Jiang, Wenchao Zou, Peng Cui |
| 2023 | CowClip: Reducing CTR Prediction Model Training Time from 12 Hours to 10 Minutes on 1 GPU. Zangwei Zheng, Pengtai Xu, Xuan Zou, Da Tang, Zhen Li, Chenguang Xi, Peng Wu, Leqi Zou, Yijie Zhu, Ming Chen, Xiangzhuo Ding, Fuzhao Xue, Ziheng Qin, Youlong Cheng, Yang You |
| 2023 | Crafting Monocular Cues and Velocity Guidance for Self-Supervised Multi-Frame Depth Learning. Xiaofeng Wang, Zheng Zhu, Guan Huang, Xu Chi, Yun Ye, Ziwei Chen, Xingang Wang |
| 2023 | Critical Firms Prediction for Stemming Contagion Risk in Networked-Loans through Graph-Based Deep Reinforcement Learning. Dawei Cheng, Zhibin Niu, Jianfu Zhang, Yiyi Zhang, Changjun Jiang |
| 2023 | Cross-Category Highlight Detection via Feature Decomposition and Modality Alignment. Zhenduo Zhang |
| 2023 | Cross-Domain Adaptative Learning for Online Advertisement Customer Lifetime Value Prediction. Hongzu Su, Zhekai Du, Jingjing Li, Lei Zhu, Ke Lu |
| 2023 | Cross-Domain Few-Shot Graph Classification with a Reinforced Task Coordinator. Qiannan Zhang, Shichao Pei, Qiang Yang, Chuxu Zhang, Nitesh V. Chawla, Xiangliang Zhang |
| 2023 | Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment. Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie |
| 2023 | Cross-Modal Contrastive Learning for Domain Adaptation in 3D Semantic Segmentation. Bowei Xing, Xianghua Ying, Ruibin Wang, Jinfa Yang, Taiyan Chen |
| 2023 | Cross-Modal Distillation for Speaker Recognition. Yufeng Jin, Guosheng Hu, Haonan Chen, Duoqian Miao, Liang Hu, Cairong Zhao |
| 2023 | Cross-Modal Label Contrastive Learning for Unsupervised Audio-Visual Event Localization. Peijun Bao, Wenhan Yang, Boon Poh Ng, Meng Hwa Er, Alex C. Kot |
| 2023 | Cross-Modality Earth Mover's Distance for Visible Thermal Person Re-identification. Yongguo Ling, Zhun Zhong, Zhiming Luo, Fengxiang Yang, Donglin Cao, Yaojin Lin, Shaozi Li, Nicu Sebe |
| 2023 | Cross-Modality Person Re-identification with Memory-Based Contrastive Embedding. De Cheng, Xiaolong Wang, Nannan Wang, Zhen Wang, Xiaoyu Wang, Xinbo Gao |
| 2023 | Cross-Regional Fraud Detection via Continual Learning (Student Abstract). Yujie Li, Yuxuan Yang, Qiang Gao, Xin Yang |
| 2023 | Cross-View Geo-Localization via Learning Disentangled Geometric Layout Correspondence. Xiaohan Zhang, Xingyu Li, Waqas Sultani, Yi Zhou, Safwan Wshah |
| 2023 | Crowd-Level Abnormal Behavior Detection via Multi-Scale Motion Consistency Learning. Linbo Luo, Yuanjing Li, Haiyan Yin, Shangwei Xie, Ruimin Hu, Wentong Cai |
| 2023 | CrysGNN: Distilling Pre-trained Knowledge to Enhance Property Prediction for Crystalline Materials. Kishalay Das, Bidisha Samanta, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee, Niloy Ganguly |
| 2023 | Curriculum Multi-Negative Augmentation for Debiased Video Grounding. Xiaohan Lan, Yitian Yuan, Hong Chen, Xin Wang, Zequn Jie, Lin Ma, Zhi Wang, Wenwu Zhu |
| 2023 | Curriculum Temperature for Knowledge Distillation. Zheng Li, Xiang Li, Lingfeng Yang, Borui Zhao, Renjie Song, Lei Luo, Jun Li, Jian Yang |
| 2023 | Customer Service Combining Human Operators and Virtual Agents: A Call for Multidisciplinary AI Research. Sarit Kraus, Yaniv Oshrat, Yonatan Aumann, Tal Hollander, Oleg Maksimov, Anita Ostroumov, Natali Shechtman |
| 2023 | Cyclically Disentangled Feature Translation for Face Anti-spoofing. Haixiao Yue, Keyao Wang, Guosheng Zhang, Haocheng Feng, Junyu Han, Errui Ding, Jingdong Wang |
| 2023 | DACOM: Learning Delay-Aware Communication for Multi-Agent Reinforcement Learning. Tingting Yuan, Hwei-Ming Chung, Jie Yuan, Xiaoming Fu |
| 2023 | DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization. Qishi Dong, Fengwei Zhou, Ning Kang, Chuanlong Xie, Shifeng Zhang, Jiawei Li, Heng Peng, Zhenguo Li |
| 2023 | DARL: Distance-Aware Uncertainty Estimation for Offline Reinforcement Learning. Hongchang Zhang, Jianzhun Shao, Shuncheng He, Yuhang Jiang, Xiangyang Ji |
| 2023 | DASH: A Distributed and Parallelizable Algorithm for Size-Constrained Submodular Maximization. Tonmoy Dey, Yixin Chen, Alan Kuhnle |
| 2023 | DC-Former: Diverse and Compact Transformer for Person Re-identification. Wen Li, Cheng Zou, Meng Wang, Furong Xu, Jianan Zhao, Ruobing Zheng, Yuan Cheng, Wei Chu |
| 2023 | DE-net: Dynamic Text-Guided Image Editing Adversarial Networks. Ming Tao, Bing-Kun Bao, Hao Tang, Fei Wu, Longhui Wei, Qi Tian |
| 2023 | DENet: Disentangled Embedding Network for Visible Watermark Removal. Ruizhou Sun, Yukun Su, Qingyao Wu |
| 2023 | DFEE: Interactive DataFlow Execution and Evaluation Kit. Han He, Song Feng, Daniele Bonadiman, Yi Zhang, Saab Mansour |
| 2023 | DHGE: Dual-View Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity Typing. Haoran Luo, Haihong E, Ling Tan, Gengxian Zhou, Tianyu Yao, Kaiyang Wan |
| 2023 | DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification. Chengliang Liu, Jie Wen, Xiaoling Luo, Chao Huang, Zhihao Wu, Yong Xu |
| 2023 | DINet: Deformation Inpainting Network for Realistic Face Visually Dubbing on High Resolution Video. Zhimeng Zhang, Zhipeng Hu, Wenjin Deng, Changjie Fan, Tangjie Lv, Yu Ding |
| 2023 | DISPUTool 2.0: A Modular Architecture for Multi-Layer Argumentative Analysis of Political Debates. Pierpaolo Goffredo, Elena Cabrio, Serena Villata, Shohreh Haddadan, Jhonatan Torres Sanchez |
| 2023 | DMIS: Dynamic Mesh-Based Importance Sampling for Training Physics-Informed Neural Networks. Zijiang Yang, Zhongwei Qiu, Dongmei Fu |
| 2023 | DM²: Decentralized Multi-Agent Reinforcement Learning via Distribution Matching. Caroline Wang, Ishan Durugkar, Elad Liebman, Peter Stone |
| 2023 | DNG: Taxonomy Expansion by Exploring the Intrinsic Directed Structure on Non-gaussian Space. Songlin Zhai, Weiqing Wang, Yuan-Fang Li, Yuan Meng |
| 2023 | DPAUC: Differentially Private AUC Computation in Federated Learning. Jiankai Sun, Xin Yang, Yuanshun Yao, Junyuan Xie, Di Wu, Chong Wang |
| 2023 | DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformer. Maoyuan Ye, Jing Zhang, Shanshan Zhao, Juhua Liu, Bo Du, Dacheng Tao |
| 2023 | DQ-DETR: Dual Query Detection Transformer for Phrase Extraction and Grounding. Shilong Liu, Shijia Huang, Feng Li, Hao Zhang, Yaoyuan Liang, Hang Su, Jun Zhu, Lei Zhang |
| 2023 | DRGCN: Dynamic Evolving Initial Residual for Deep Graph Convolutional Networks. Lei Zhang, Xiaodong Yan, Jianshan He, Ruopeng Li, Wei Chu |
| 2023 | DUCK: A Drone-Urban Cyber-Defense Framework Based on Pareto-Optimal Deontic Logic Agents. Tonmoay Deb, Jürgen Dix, Mingi Jeong, Cristian Molinaro, Andrea Pugliese, Alberto Quattrini Li, Eugene Santos Jr., V. S. Subrahmanian, Shanchieh Yang, Youzhi Zhang |
| 2023 | DUET: Cross-Modal Semantic Grounding for Contrastive Zero-Shot Learning. Zhuo Chen, Yufeng Huang, Jiaoyan Chen, Yuxia Geng, Wen Zhang, Yin Fang, Jeff Z. Pan, Huajun Chen |
| 2023 | Dagster: Parallel Structured Search. Mark Alexander Burgess, Charles Gretton, Josh Milthorpe, Luke Croak, Thomas Willingham, Alwen Tiu |
| 2023 | DarkFeat: Noise-Robust Feature Detector and Descriptor for Extremely Low-Light RAW Images. Yuze He, Yubin Hu, Wang Zhao, Jisheng Li, Yong-Jin Liu, Yuxing Han, Jiangtao Wen |
| 2023 | Darwinian Model Upgrades: Model Evolving with Selective Compatibility. Binjie Zhang, Shupeng Su, Yixiao Ge, Xuyuan Xu, Yexin Wang, Chun Yuan, Mike Zheng Shou, Ying Shan |
| 2023 | Data Imputation with Iterative Graph Reconstruction. Jiajun Zhong, Ning Gui, Weiwei Ye |
| 2023 | Data Labeling for Machine Learning Engineers: Project-Based Curriculum and Data-Centric Competitions. Anastasia Zhdanovskaya, Daria Baidakova, Dmitry Ustalov |
| 2023 | Data-Driven Machine Learning Models for a Multi-Objective Flapping Fin Unmanned Underwater Vehicle Control System. Julian Lee, Kamal Viswanath, Alisha Sharma, Jason Geder, Marius Pruessner, Brian Zhou |
| 2023 | Data-Efficient Image Quality Assessment with Attention-Panel Decoder. Guanyi Qin, Runze Hu, Yutao Liu, Xiawu Zheng, Haotian Liu, Xiu Li, Yan Zhang |
| 2023 | Daycare Matching in Japan: Transfers and Siblings. Zhaohong Sun, Yoshihiro Takenami, Daisuke Moriwaki, Yoji Tomita, Makoto Yokoo |
| 2023 | De-biased Teacher: Rethinking IoU Matching for Semi-supervised Object Detection. Kuo Wang, Jingyu Zhuang, Guanbin Li, Chaowei Fang, Lechao Cheng, Liang Lin, Fan Zhou |
| 2023 | DeAR: A Deep-Learning-Based Audio Re-recording Resilient Watermarking. Chang Liu, Jie Zhang, Han Fang, Zehua Ma, Weiming Zhang, Nenghai Yu |
| 2023 | DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent Reinforcement Learning. Zhaoxing Yang, Haiming Jin, Rong Ding, Haoyi You, Guiyun Fan, Xinbing Wang, Chenghu Zhou |
| 2023 | DeFL: Defending against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness. Gang Yan, Hao Wang, Xu Yuan, Jian Li |
| 2023 | DeMT: Deformable Mixer Transformer for Multi-Task Learning of Dense Prediction. Yangyang Xu, Yibo Yang, Lefei Zhang |
| 2023 | Debiased Fine-Tuning for Vision-Language Models by Prompt Regularization. Beier Zhu, Yulei Niu, Saeil Lee, Minhoe Hur, Hanwang Zhang |
| 2023 | Debiasing Intrinsic Bias and Application Bias Jointly via Invariant Risk Minimization (Student Abstract). Yuzhou Mao, Liu Yu, Yi Yang, Fan Zhou, Ting Zhong |
| 2023 | Decentralized Riemannian Algorithm for Nonconvex Minimax Problems. Xidong Wu, Zhengmian Hu, Heng Huang |
| 2023 | Decentralized Stochastic Multi-Player Multi-Armed Walking Bandits. Guojun Xiong, Jian Li |
| 2023 | Decision-Making Context Interaction Network for Click-Through Rate Prediction. Xiang Li, Shuwei Chen, Jian Dong, Jin Zhang, Yongkang Wang, Xingxing Wang, Dong Wang |
| 2023 | Deconstructed Generation-Based Zero-Shot Model. Dubing Chen, Yuming Shen, Haofeng Zhang, Philip H. S. Torr |
| 2023 | Decorate the Newcomers: Visual Domain Prompt for Continual Test Time Adaptation. Yulu Gan, Yan Bai, Yihang Lou, Xianzheng Ma, Renrui Zhang, Nian Shi, Lin Luo |
| 2023 | Deep Anomaly Detection and Search via Reinforcement Learning (Student Abstract). Chao Chen, Dawei Wang, Feng Mao, Zongzhang Zhang, Yang Yu |
| 2023 | Deep Attentive Model for Knowledge Tracing. Xinping Wang, Liangyu Chen, Min Zhang |
| 2023 | Deep Digging into the Generalization of Self-Supervised Monocular Depth Estimation. Jinwoo Bae, Sungho Moon, Sunghoon Im |
| 2023 | Deep Equilibrium Models for Snapshot Compressive Imaging. Yaping Zhao, Siming Zheng, Xin Yuan |
| 2023 | Deep Graph Structural Infomax. Wenting Zhao, Gongping Xu, Zhen Cui, Siqiang Luo, Cheng Long, Tong Zhang |
| 2023 | Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations. Shiqi Gong, Peiyan Hu, Qi Meng, Yue Wang, Rongchan Zhu, Bingguang Chen, Zhiming Ma, Hao Ni, Tie-Yan Liu |
| 2023 | Deep Learning for Medical Prediction in Electronic Health Records. Xinlu Zhang |
| 2023 | Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness. Abdelrahman Zayed, Prasanna Parthasarathi, Gonçalo Mordido, Hamid Palangi, Samira Shabanian, Sarath Chandar |
| 2023 | Deep Manifold Attack on Point Clouds via Parameter Plane Stretching. Keke Tang, Jianpeng Wu, Weilong Peng, Yawen Shi, Peng Song, Zhaoquan Gu, Zhihong Tian, Wenping Wang |
| 2023 | Deep Parametric 3D Filters for Joint Video Denoising and Illumination Enhancement in Video Super Resolution. Xiaogang Xu, Ruixing Wang, Chi-Wing Fu, Jiaya Jia |
| 2023 | Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse. Liwei Huang, Zhengyu Ma, Liutao Yu, Huihui Zhou, Yonghong Tian |
| 2023 | Deep Visual Forced Alignment: Learning to Align Transcription with Talking Face Video. Minsu Kim, Chae Won Kim, Yong Man Ro |
| 2023 | DeepGemini: Verifying Dependency Fairness for Deep Neural Network. Xuan Xie, Fuyuan Zhang, Xinwen Hu, Lei Ma |
| 2023 | Deepfake Video Detection via Facial Action Dependencies Estimation. Lingfeng Tan, Yunhong Wang, Junfu Wang, Liang Yang, Xunxun Chen, Yuanfang Guo |
| 2023 | Defending Backdoor Attacks on Vision Transformer via Patch Processing. Khoa D. Doan, Yingjie Lao, Peng Yang, Ping Li |
| 2023 | Defending Black-Box Skeleton-Based Human Activity Classifiers. He Wang, Yunfeng Diao, Zichang Tan, Guodong Guo |
| 2023 | Defending against Backdoor Attacks in Natural Language Generation. Xiaofei Sun, Xiaoya Li, Yuxian Meng, Xiang Ao, Lingjuan Lyu, Jiwei Li, Tianwei Zhang |
| 2023 | Defending from Physically-Realizable Adversarial Attacks through Internal Over-Activation Analysis. Giulio Rossolini, Federico Nesti, Fabio Brau, Alessandro Biondi, Giorgio C. Buttazzo |
| 2023 | Delving Deep into Pixel Alignment Feature for Accurate Multi-View Human Mesh Recovery. Kai Jia, Hongwen Zhang, Liang An, Yebin Liu |
| 2023 | Delving into the Adversarial Robustness of Federated Learning. Jie Zhang, Bo Li, Chen Chen, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chao Wu |
| 2023 | Demo Alleviate: Demonstrating Artificial Intelligence Enabled Virtual Assistance for Telehealth: The Mental Health Case. Kaushik Roy, Vedant Khandelwal, Raxit Goswami, Nathan Dolbir, Jinendra Malekar, Amit P. Sheth |
| 2023 | Demystify the Gravity Well in the Optimization Landscape (Student Abstract). Jason Xiaotian Dou, Runxue Bao, Susan Song, ShuRan Yang, Yanfu Zhang, Paul Pu Liang, Haiyi Harry Mao |
| 2023 | Demystifying Randomly Initialized Networks for Evaluating Generative Models. Junghyuk Lee, Jun-Hyuk Kim, Jong-Seok Lee |
| 2023 | Denoising Multi-Similarity Formulation: A Self-Paced Curriculum-Driven Approach for Robust Metric Learning. Chenkang Zhang, Lei Luo, Bin Gu |
| 2023 | Denoising Pre-training for Machine Translation Quality Estimation with Curriculum Learning. Xiang Geng, Yu Zhang, Jiahuan Li, Shujian Huang, Hao Yang, Shimin Tao, Yimeng Chen, Ning Xie, Jiajun Chen |
| 2023 | Denoising after Entropy-Based Debiasing a Robust Training Method for Dataset Bias with Noisy Labels. Sumyeong Ahn, Se-Young Yun |
| 2023 | DesNet: Decomposed Scale-Consistent Network for Unsupervised Depth Completion. Zhiqiang Yan, Kun Wang, Xiang Li, Zhenyu Zhang, Jun Li, Jian Yang |
| 2023 | Design Amortization for Bayesian Optimal Experimental Design. Noble Kennamer, Steven Walton, Alexander Ihler |
| 2023 | DetAIL: A Tool to Automatically Detect and Analyze Drift in Language. Nishtha Madaan, Adithya Manjunatha, Hrithik Nambiar, Aviral Kumar Goel, Harivansh Kumar, Diptikalyan Saha, Srikanta Bedathur |
| 2023 | Detecting Anomalous Networks of Opioid Prescribers and Dispensers in Prescription Drug Data. Katie Rosman, Daniel B. Neill |
| 2023 | Detecting Exclusive Language during Pair Programming. Solomon Ubani, Rodney Nielsen, Helen Li |
| 2023 | Detecting Multivariate Time Series Anomalies with Zero Known Label. Qihang Zhou, Jiming Chen, Haoyu Liu, Shibo He, Wenchao Meng |
| 2023 | Detecting Sources of Healthcare Associated Infections. Hankyu Jang, Andrew Fu, Jiaming Cui, Methun Kamruzzaman, B. Aditya Prakash, Anil Vullikanti, Bijaya Adhikari, Sriram V. Pemmaraju |
| 2023 | Detecting VoIP Data Streams: Approaches Using Hidden Representation Learning. Maya Kapoor, Michael Napolitano, Jonathan Quance, Thomas Moyer, Siddharth Krishnan |
| 2023 | Detecting and Grounding Important Characters in Visual Stories. Danyang Liu, Frank Keller |
| 2023 | Develop AI Teaching and Learning Resources for Compulsory Education in China. Jiachen Song, Jinglei Yu, Li Yan, Linan Zhang, Bei Liu, Yujin Zhang, Yu Lu |
| 2023 | Developing the Wheel Image Similarity Application with Deep Metric Learning: Hyundai Motor Company Case. Kyung-Pyo Kang, Ga Hyeon Jeong, Jeong Hoon Eom, Soon Beom Kwon, Jae Hong Park |
| 2023 | Development of a Human-Agent Interaction System including Norm and Emotion in an Evacuation Situation (Student Abstract). Ephraim Sinyabe Pagou, Vivient Corneille Kamla, Igor Tchappi, Amro Najjar |
| 2023 | DiFA: Differentiable Feature Acquisition. Aritra Ghosh, Andrew S. Lan |
| 2023 | Dialogue Rewriting via Skeleton-Guided Generation. Chunlei Xin, Hongyu Lin, Shan Wu, Xianpei Han, Bo Chen, Wen Dai, Shuai Chen, Bin Wang, Le Sun |
| 2023 | Dialogue State Distillation Network with Inter-slot Contrastive Learning for Dialogue State Tracking. Jing Xu, Dandan Song, Chong Liu, Siu Cheung Hui, Fei Li, Qiang Ju, Xiaonan He, Jian Xie |
| 2023 | DiffMD: A Geometric Diffusion Model for Molecular Dynamics Simulations. Fang Wu, Stan Z. Li |
| 2023 | Diffeomorphic Information Neural Estimation. Bao Duong, Thin Nguyen |
| 2023 | Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks. Chao Li, Hao Xu, Kun He |
| 2023 | Differentially Private Condorcet Voting. Zhechen Li, Ao Liu, Lirong Xia, Yongzhi Cao, Hanpin Wang |
| 2023 | Differentially Private Fair Division. Pasin Manurangsi, Warut Suksompong |
| 2023 | Differentially Private Heatmaps. Badih Ghazi, Junfeng He, Kai Kohlhoff, Ravi Kumar, Pasin Manurangsi, Vidhya Navalpakkam, Nachiappan Valliappan |
| 2023 | Differentially Private Learning with Per-Sample Adaptive Clipping. Tianyu Xia, Shuheng Shen, Su Yao, Xinyi Fu, Ke Xu, Xiaolong Xu, Xing Fu |
| 2023 | Differentially Private Nonlinear Causal Discovery from Numerical Data. Hao Zhang, Yewei Xia, Yixin Ren, Jihong Guan, Shuigeng Zhou |
| 2023 | Diffuser: Efficient Transformers with Multi-Hop Attention Diffusion for Long Sequences. Aosong Feng, Irene Li, Yuang Jiang, Rex Ying |
| 2023 | Diffusing Gaussian Mixtures for Generating Categorical Data. Florence Regol, Mark Coates |
| 2023 | Diffusion Models Beat GANs on Topology Optimization. François Mazé, Faez Ahmed |
| 2023 | Direct Heterogeneous Causal Learning for Resource Allocation Problems in Marketing. Hao Zhou, Shaoming Li, Guibin Jiang, Jiaqi Zheng, Dong Wang |
| 2023 | Directed Acyclic Graph Structure Learning from Dynamic Graphs. Shaohua Fan, Shuyang Zhang, Xiao Wang, Chuan Shi |
| 2023 | DisGUIDE: Disagreement-Guided Data-Free Model Extraction. Jonathan Rosenthal, Eric Enouen, Hung Viet Pham, Lin Tan |
| 2023 | Discriminability and Transferability Estimation: A Bayesian Source Importance Estimation Approach for Multi-Source-Free Domain Adaptation. Zhongyi Han, Zhiyan Zhang, Fan Wang, Rundong He, Wan Su, Xiaoming Xi, Yilong Yin |
| 2023 | Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from a Conditional Causal Perspective. Jiangmeng Li, Yanan Zhang, Wenwen Qiang, Lingyu Si, Chengbo Jiao, Xiaohui Hu, Changwen Zheng, Fuchun Sun |
| 2023 | Disentangled CVAEs with Contrastive Learning for Explainable Recommendation. Linlin Wang, Zefeng Cai, Gerard de Melo, Zhu Cao, Liang He |
| 2023 | Disentangled Representation for Causal Mediation Analysis. Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Ke Wang |
| 2023 | Disentangling Reafferent Effects by Doing Nothing. Benedict Wilkins, Kostas Stathis |
| 2023 | Disentangling the Benefits of Self-Supervised Learning to Deployment-Driven Downstream Tasks of Satellite Images (Student Abstract). Zhuo Deng, Yibing Wei, Mingye Zhu, Xueliang Wang, Junchi Zhou, Zhicheng Yang, Hang Zhou, Zhenjie Cao, Lan Ma, Mei Han, Jui-Hsin Lai |
| 2023 | Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting. Wei Fan, Pengyang Wang, Dongkun Wang, Dongjie Wang, Yuanchun Zhou, Yanjie Fu |
| 2023 | Distantly-Supervised Named Entity Recognition with Adaptive Teacher Learning and Fine-Grained Student Ensemble. Xiaoye Qu, Jun Zeng, Daizong Liu, Zhefeng Wang, Baoxing Huai, Pan Zhou |
| 2023 | Distributed Projection-Free Online Learning for Smooth and Convex Losses. Yibo Wang, Yuanyu Wan, Shimao Zhang, Lijun Zhang |
| 2023 | Distributed Spectrum-Based Fault Localization. Avraham Natan, Roni Stern, Meir Kalech |
| 2023 | Distributed Stochastic Nested Optimization for Emerging Machine Learning Models: Algorithm and Theory. Hongchang Gao |
| 2023 | Distributionally Robust Optimization with Probabilistic Group. Soumya Suvra Ghosal, Yixuan Li |
| 2023 | Diversified and Realistic 3D Augmentation via Iterative Construction, Random Placement, and HPR Occlusion. Jungwook Shin, Jaeill Kim, Kyungeun Lee, Hyunghun Cho, Wonjong Rhee |
| 2023 | Diversity Maximization in the Presence of Outliers. Daichi Amagata |
| 2023 | Do Invariances in Deep Neural Networks Align with Human Perception? Vedant Nanda, Ayan Majumdar, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Bradley C. Love, Adrian Weller |
| 2023 | DocEdit: Language-Guided Document Editing. Puneet Mathur, Rajiv Jain, Jiuxiang Gu, Franck Dernoncourt, Dinesh Manocha, Vlad I. Morariu |
| 2023 | Does It Pay to Optimize AUC? Baojian Zhou, Steven Skiena |
| 2023 | Does Knowing When Help Is Needed Improve Subgoal Hint Performance in an Intelligent Data-Driven Logic Tutor? Nazia Alam, Mehak Maniktala, Behrooz Mostafavi, Min Chi, Tiffany Barnes |
| 2023 | Domain Adaptation with Adversarial Training on Penultimate Activations. Tao Sun, Cheng Lu, Haibin Ling |
| 2023 | Domain Decorrelation with Potential Energy Ranking. Sen Pei, Jiaxi Sun, Richard Yi Da Xu, Shiming Xiang, Gaofeng Meng |
| 2023 | Domain Generalised Faster R-CNN. Karthik Seemakurthy, Charles Fox, Erchan Aptoula, Petra Bosilj |
| 2023 | Domain-Adapted Dependency Parsing for Cross-Domain Named Entity Recognition. Chenxiao Dou, Xianghui Sun, Yaoshu Wang, Yunjie Ji, Baochang Ma, Xiangang Li |
| 2023 | Domain-General Crowd Counting in Unseen Scenarios. Zhipeng Du, Jiankang Deng, Miaojing Shi |
| 2023 | Don't Be So Sure! Boosting ASR Decoding via Confidence Relaxation. Tomer Wullach, Shlomo E. Chazan |
| 2023 | Don't Predict Counterfactual Values, Predict Expected Values Instead. Jeremiasz Wolosiuk, Maciej Swiechowski, Jacek Mandziuk |
| 2023 | Doodle to Object: Practical Zero-Shot Sketch-Based 3D Shape Retrieval. Bingrui Wang, Yuan Zhou |
| 2023 | Double Doubly Robust Thompson Sampling for Generalized Linear Contextual Bandits. Wonyoung Kim, Kyungbok Lee, Myunghee Cho Paik |
| 2023 | Double Policy Network for Aspect Sentiment Triplet Extraction (Student Abstract). Xuting Li, Daifeng Li, Ruo Du, Dingquan Chen, Andrew D. Madden |
| 2023 | Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions. Jeongsoo Ha, Kyungsoo Kim, Yusung Kim |
| 2023 | Drop Clause: Enhancing Performance, Robustness and Pattern Recognition Capabilities of the Tsetlin Machine. Jivitesh Sharma, Rohan Kumar Yadav, Ole-Christoffer Granmo, Lei Jiao |
| 2023 | DropMessage: Unifying Random Dropping for Graph Neural Networks. Taoran Fang, Zhiqing Xiao, Chunping Wang, Jiarong Xu, Xuan Yang, Yang Yang |
| 2023 | Dropout Is NOT All You Need to Prevent Gradient Leakage. Daniel Scheliga, Patrick Maeder, Marco Seeland |
| 2023 | DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery - a Focus on Affinity Prediction Problems with Noise Annotations. Yuanfeng Ji, Lu Zhang, Jiaxiang Wu, Bingzhe Wu, Lanqing Li, Long-Kai Huang, Tingyang Xu, Yu Rong, Jie Ren, Ding Xue, Houtim Lai, Wei Liu, Junzhou Huang, Shuigeng Zhou, Ping Luo, Peilin Zhao, Yatao Bian |
| 2023 | Dual Label-Guided Graph Refinement for Multi-View Graph Clustering. Yawen Ling, Jianpeng Chen, Yazhou Ren, Xiaorong Pu, Jie Xu, Xiaofeng Zhu, Lifang He |
| 2023 | Dual Low-Rank Graph Autoencoder for Semantic and Topological Networks. Zhaoliang Chen, Zhihao Wu, Shiping Wang, Wenzhong Guo |
| 2023 | Dual Memory Aggregation Network for Event-Based Object Detection with Learnable Representation. Dongsheng Wang, Xu Jia, Yang Zhang, Xinyu Zhang, Yaoyuan Wang, Ziyang Zhang, Dong Wang, Huchuan Lu |
| 2023 | Dual Memory Units with Uncertainty Regulation for Weakly Supervised Video Anomaly Detection. Hang Zhou, Junqing Yu, Wei Yang |
| 2023 | Dual Mutual Information Constraints for Discriminative Clustering. Hongyu Li, Lefei Zhang, Kehua Su |
| 2023 | Dual-Domain Attention for Image Deblurring. Yuning Cui, Yi Tao, Wenqi Ren, Alois Knoll |
| 2023 | DyCVAE: Learning Dynamic Causal Factors for Non-stationary Series Domain Generalization (Student Abstract). Weifeng Zhang, Zhiyuan Wang, Kunpeng Zhang, Ting Zhong, Fan Zhou |
| 2023 | DyRRen: A Dynamic Retriever-Reranker-Generator Model for Numerical Reasoning over Tabular and Textual Data. Xiao Li, Yin Zhu, Sichen Liu, Jiangzhou Ju, Yuzhong Qu, Gong Cheng |
| 2023 | Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS "Cold-Start". Junbo Zhao, Xuefei Ning, Enshu Liu, Binxin Ru, Zixuan Zhou, Tianchen Zhao, Chen Chen, Jiajin Zhang, Qingmin Liao, Yu Wang |
| 2023 | Dynamic Heterogeneous Graph Attention Neural Architecture Search. Zeyang Zhang, Ziwei Zhang, Xin Wang, Yijian Qin, Zhou Qin, Wenwu Zhu |
| 2023 | Dynamic Multi-Behavior Sequence Modeling for Next Item Recommendation. Junsu Cho, Dongmin Hyun, Dong won Lim, Hyeon jae Cheon, Hyoung-iel Park, Hwanjo Yu |
| 2023 | Dynamic Pricing with Volume Discounts in Online Settings. Marco Mussi, Gianmarco Genalti, Alessandro Nuara, Francesco Trovò, Marcello Restelli, Nicola Gatti |
| 2023 | Dynamic Representation Learning with Temporal Point Processes for Higher-Order Interaction Forecasting. Tony Gracious, Ambedkar Dukkipati |
| 2023 | Dynamic Structure Pruning for Compressing CNNs. Jun-Hyung Park, Yeachan Kim, Junho Kim, Joon-Young Choi, SangKeun Lee |
| 2023 | Dynamics of Cooperation and Conflict in Multiagent Systems. Fernando P. Santos |
| 2023 | EASAL: Entity-Aware Subsequence-Based Active Learning for Named Entity Recognition. Yang Liu, Jinpeng Hu, Zhihong Chen, Xiang Wan, Tsung-Hui Chang |
| 2023 | ECO-3D: Equivariant Contrastive Learning for Pre-training on Perturbed 3D Point Cloud. Ruibin Wang, Xianghua Ying, Bowei Xing, Jinfa Yang |
| 2023 | EINNs: Epidemiologically-Informed Neural Networks. Alexander Rodríguez, Jiaming Cui, Naren Ramakrishnan, Bijaya Adhikari, B. Aditya Prakash |
| 2023 | EMEF: Ensemble Multi-Exposure Image Fusion. Renshuai Liu, Chengyang Li, Haitao Cao, Yinglin Zheng, Ming Zeng, Xuan Cheng |
| 2023 | ERASER: AdvERsArial Sensitive Element Remover for Image Privacy Preservation. Guang Yang, Juan Cao, Danding Wang, Peng Qi, Jintao Li |
| 2023 | ES-Mask: Evolutionary Strip Mask for Explaining Time Series Prediction (Student Abstract). Yifei Sun, Cheng Song, Feng Lu, Wei Li, Hai Jin, Albert Y. Zomaya |
| 2023 | ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks. Jiangrong Shen, Qi Xu, Jian K. Liu, Yueming Wang, Gang Pan, Huajin Tang |
| 2023 | ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning. Yi Rong, Xiongbo Lu, Zhaoyang Sun, Yaxiong Chen, Shengwu Xiong |
| 2023 | Easy Begun Is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout. Hongjun Wang, Jiyuan Chen, Tong Pan, Zipei Fan, Xuan Song, Renhe Jiang, Lingyu Zhang, Yi Xie, Zhongyi Wang, Boyuan Zhang |
| 2023 | EasyRec: An Easy-to-Use, Extendable and Efficient Framework for Building Industrial Recommendation Systems. Mengli Cheng, Yue Gao, Guoqiang Liu, Hongsheng Jin |
| 2023 | Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model. Yixuan Liu, Suyun Zhao, Li Xiong, Yuhan Liu, Hong Chen |
| 2023 | Edge Structure Learning via Low Rank Residuals for Robust Image Classification. Xiangjun Shen, Stanley Ebhohimhen Abhadiomhen, Yang Yang, Zhifeng Liu, Sirui Tian |
| 2023 | Editing Boolean Classifiers: A Belief Change Perspective. Nicolas Schwind, Katsumi Inoue, Pierre Marquis |
| 2023 | EffConv: Efficient Learning of Kernel Sizes for Convolution Layers of CNNs. Alireza Ganjdanesh, Shangqian Gao, Heng Huang |
| 2023 | Effective Continual Learning for Text Classification with Lightweight Snapshots. Jue Wang, Dajie Dong, Lidan Shou, Ke Chen, Gang Chen |
| 2023 | Effective Integration of Weighted Cost-to-Go and Conflict Heuristic within Suboptimal CBS. Rishi Veerapaneni, Tushar Kusnur, Maxim Likhachev |
| 2023 | Effective Open Intent Classification with K-center Contrastive Learning and Adjustable Decision Boundary. Xiaokang Liu, Jianquan Li, Jingjing Mu, Min Yang, Ruifeng Xu, Benyou Wang |
| 2023 | Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information Principles. Xianghua Zeng, Hao Peng, Angsheng Li |
| 2023 | Efficient Algorithms for Regret Minimization in Billboard Advertisement (Student Abstract). Dildar Ali, Ankit Kumar Bhagat, Suman Banerjee, Yamuna Prasad |
| 2023 | Efficient Answer Enumeration in Description Logics with Functional Roles. Carsten Lutz, Marcin Przybylko |
| 2023 | Efficient Distributed Inference of Deep Neural Networks via Restructuring and Pruning. Afshin Abdi, Saeed Rashidi, Faramarz Fekri, Tushar Krishna |
| 2023 | Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces. Saeed Vahidian, Mahdi Morafah, Weijia Wang, Vyacheslav Kungurtsev, Chen Chen, Mubarak Shah, Bill Lin |
| 2023 | Efficient Dynamic Batch Adaptation (Student Abstract). Cristian Simionescu, George Stoica |
| 2023 | Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. Wanjuan Su, Wenbing Tao |
| 2023 | Efficient Embeddings of Logical Variables for Query Answering over Incomplete Knowledge Graphs. Dingmin Wang, Yeyuan Chen, Bernardo Cuenca Grau |
| 2023 | Efficient End-to-End Video Question Answering with Pyramidal Multimodal Transformer. Min Peng, Chongyang Wang, Yu Shi, Xiang-Dong Zhou |
| 2023 | Efficient Enumeration of Markov Equivalent DAGs. Marcel Wienöbst, Malte Luttermann, Max Bannach, Maciej Liskiewicz |
| 2023 | Efficient Exploration in Resource-Restricted Reinforcement Learning. Zhihai Wang, Taoxing Pan, Qi Zhou, Jie Wang |
| 2023 | Efficient Explorative Key-Term Selection Strategies for Conversational Contextual Bandits. Zhiyong Wang, Xutong Liu, Shuai Li, John C. S. Lui |
| 2023 | Efficient Extraction of EL-Ontology Deductive Modules. Hui Yang, Yue Ma, Nicole Bidoit |
| 2023 | Efficient Gradient Approximation Method for Constrained Bilevel Optimization. Siyuan Xu, Minghui Zhu |
| 2023 | Efficient Image Captioning for Edge Devices. Ning Wang, Jiangrong Xie, Hang Luo, Qinglin Cheng, Jihao Wu, Mingbo Jia, Linlin Li |
| 2023 | Efficient Mirror Detection via Multi-Level Heterogeneous Learning. Ruozhen He, Jiaying Lin, Rynson W. H. Lau |
| 2023 | Efficient Non-parametric Neural Density Estimation and Its Application to Outlier and Anomaly Detection. Joseph A. Gallego-Mejia |
| 2023 | Efficient Top-K Feature Selection Using Coordinate Descent Method. Lei Xu, Rong Wang, Feiping Nie, Xuelong Li |
| 2023 | Efficient Training of Large-Scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout. Yuanyuan Chen, Zichen Chen, Sheng Guo, Yansong Zhao, Zelei Liu, Pengcheng Wu, Chengyi Yang, Zengxiang Li, Han Yu |
| 2023 | Efficient and Accurate Learning of Mixtures of Plackett-Luce Models. Duc Nguyen, Anderson Y. Zhang |
| 2023 | Electrophysiological Brain Source Imaging via Combinatorial Search with Provable Optimality. Guihong Wan, Meng Jiao, Xinglong Ju, Yu Zhang, Haim Schweitzer, Feng Liu |
| 2023 | Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning. Kaize Ding, Yancheng Wang, Yingzhen Yang, Huan Liu |
| 2023 | Eliminating the Impossible, Whatever Remains Must Be True: On Extracting and Applying Background Knowledge in the Context of Formal Explanations. Jinqiang Yu, Alexey Ignatiev, Peter J. Stuckey, Nina Narodytska, João Marques-Silva |
| 2023 | Embedding a Long Short-Term Memory Network in a Constraint Programming Framework for Tomato Greenhouse Optimisation. Dirk van Bokkem, Max van den Hemel, Sebastijan Dumancic, Neil Yorke-Smith |
| 2023 | Embodied, Intelligent Communication for Multi-Agent Cooperation. Esmaeil Seraj |
| 2023 | Emergence of Punishment in Social Dilemma with Environmental Feedback. Zhen Wang, Zhao Song, Chen Shen, Shuyue Hu |
| 2023 | Emergent Quantized Communication. Boaz Carmeli, Ron Meir, Yonatan Belinkov |
| 2023 | Emotion-Aware Music Recommendation. Hieu Tran, Tuan Le, Anh Do, Tram Vu, Steven Bogaerts, Brian Howard |
| 2023 | Enabling Knowledge Refinement upon New Concepts in Abductive Learning. Yu-Xuan Huang, Wang-Zhou Dai, Yuan Jiang, Zhi-Hua Zhou |
| 2023 | End-to-End Deep Reinforcement Learning for Conversation Disentanglement. Karan Bhukar, Harshit Kumar, Dinesh Raghu, Ajay Gupta |
| 2023 | End-to-End Entity Linking with Hierarchical Reinforcement Learning. Lihan Chen, Tinghui Zhu, Jingping Liu, Jiaqing Liang, Yanghua Xiao |
| 2023 | End-to-End Learning for Optimization via Constraint-Enforcing Approximators. Rares Cristian, Pavithra Harsha, Georgia Perakis, Brian Leo Quanz, Ioannis Spantidakis |
| 2023 | End-to-End Pipeline for Trigger Detection on Hit and Track Graphs. Tingting Xuan, Yimin Zhu, Giorgian Borca-Tasciuc, Ming Xiong Liu, Yu Sun, Cameron Dean, Yasser Corrales Morales, Zhaozhong Shi, Dantong Yu |
| 2023 | End-to-End Zero-Shot HOI Detection via Vision and Language Knowledge Distillation. Mingrui Wu, Jiaxin Gu, Yunhang Shen, Mingbao Lin, Chao Chen, Xiaoshuai Sun |
| 2023 | Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs. Rui Jiao, Jiaqi Han, Wenbing Huang, Yu Rong, Yang Liu |
| 2023 | Enhance Robustness of Machine Learning with Improved Efficiency. Yan Yan |
| 2023 | Enhanced Multi-Relationships Integration Graph Convolutional Network for Inferring Substitutable and Complementary Items. Huajie Chen, Jiyuan He, Weisheng Xu, Tao Feng, Ming Liu, Tianyu Song, Runfeng Yao, Yuanyuan Qiao |
| 2023 | Enhanced Tensor Low-Rank and Sparse Representation Recovery for Incomplete Multi-View Clustering. Chao Zhang, Huaxiong Li, Wei Lv, Zizheng Huang, Yang Gao, Chunlin Chen |
| 2023 | Enhancing Dynamic GCN for Node Attribute Forecasting with Meta Spatial-Temporal Learning (Student Abstract). Bo Wu, Xun Liang, Xiangping Zheng, Jun Wang |
| 2023 | Enhancing Smart, Sustainable Mobility with Game Theory and Multi-Agent Reinforcement Learning With Applications to Ridesharing. Lucia Cipolina-Kun |
| 2023 | Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks. Shijie Liu, Andrew C. Cullen, Paul Montague, Sarah M. Erfani, Benjamin I. P. Rubinstein |
| 2023 | Ensemble-in-One: Ensemble Learning within Random Gated Networks for Enhanced Adversarial Robustness. Yi Cai, Xuefei Ning, Huazhong Yang, Yu Wang |
| 2023 | Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding. Mingyang Chen, Wen Zhang, Zhen Yao, Yushan Zhu, Yang Gao, Jeff Z. Pan, Huajun Chen |
| 2023 | Entropy Regularization for Population Estimation. Ben Chugg, Peter Henderson, Jacob Goldin, Daniel E. Ho |
| 2023 | Epistemic Disjunctive Datalog for Querying Knowledge Bases. Gianluca Cima, Marco Console, Maurizio Lenzerini, Antonella Poggi |
| 2023 | Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models. Sourya Basu, Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, Vijil Chenthamarakshan, Kush R. Varshney, Lav R. Varshney, Payel Das |
| 2023 | Equity Promotion in Public Transportation. Anik Pramanik, Pan Xu, Yifan Xu |
| 2023 | Equivariant Message Passing Neural Network for Crystal Material Discovery. Astrid Klipfel, Zied Bouraoui, Olivier Peltre, Yaël Frégier, Najwa Harrati, Adlane Sayede |
| 2023 | Estimating Average Causal Effects from Patient Trajectories. Dennis Frauen, Tobias Hatt, Valentyn Melnychuk, Stefan Feuerriegel |
| 2023 | Estimating Geographic Spillover Effects of COVID-19 Policies from Large-Scale Mobility Networks. Serina Chang, Damir Vrabac, Jure Leskovec, Johan Ugander |
| 2023 | Estimating Reflectance Layer from a Single Image: Integrating Reflectance Guidance and Shadow/Specular Aware Learning. Yeying Jin, Ruoteng Li, Wenhan Yang, Robby T. Tan |
| 2023 | Estimating Regression Predictive Distributions with Sample Networks. Ali Harakeh, Jordan Sir Kwang Hu, Naiqing Guan, Steven L. Waslander, Liam Paull |
| 2023 | Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders. Defu Cao, James Enouen, Yujing Wang, Xiangchen Song, Chuizheng Meng, Hao Niu, Yan Liu |
| 2023 | Evaluating Digital Agriculture Recommendations with Causal Inference. Ilias Tsoumas, Georgios Giannarakis, Vasileios Sitokonstantinou, Alkiviadis Koukos, Dimitra Loka, Nikolaos S. Bartsotas, Charalampos Kontoes, Ioannis Athanasiadis |
| 2023 | Evaluating Epistemic Logic Programs via Answer Set Programming with Quantifiers. Wolfgang Faber, Michael Morak |
| 2023 | Evaluating Factors Influencing COVID-19 Outcomes across Countries Using Decision Trees (Student Abstract). Aniruddha Pokhrel, Nikesh Subedi, Saurav Keshari Aryal |
| 2023 | Evaluating Model-Free Reinforcement Learning toward Safety-Critical Tasks. Linrui Zhang, Qin Zhang, Li Shen, Bo Yuan, Xueqian Wang, Dacheng Tao |
| 2023 | Evaluating Robustness of Vision Transformers on Imbalanced Datasets (Student Abstract). Kevin Li, Rahul Duggal, Duen Horng Chau |
| 2023 | Evaluating and Improving Interactions with Hazy Oracles. Stephan J. Lemmer, Jason J. Corso |
| 2023 | Event Process Typing via Hierarchical Optimal Transport. Bo Zhou, Yubo Chen, Kang Liu, Jun Zhao |
| 2023 | Everyone's Voice Matters: Quantifying Annotation Disagreement Using Demographic Information. Ruyuan Wan, Jaehyung Kim, Dongyeop Kang |
| 2023 | Evidential Conditional Neural Processes. Deep Shankar Pandey, Qi Yu |
| 2023 | Experimental Observations of the Topology of Convolutional Neural Network Activations. Emilie Purvine, Davis Brown, Brett A. Jefferson, Cliff A. Joslyn, Brenda Praggastis, Archit Rathore, Madelyn Shapiro, Bei Wang, Youjia Zhou |
| 2023 | Expert Data Augmentation in Imitation Learning (Student Abstract). Fuguang Han, Zongzhang Zhang |
| 2023 | Explaining (Sarcastic) Utterances to Enhance Affect Understanding in Multimodal Dialogues. Shivani Kumar, Ishani Mondal, Md. Shad Akhtar, Tanmoy Chakraborty |
| 2023 | Explaining Large Language Model-Based Neural Semantic Parsers (Student Abstract). Daking Rai, Yilun Zhou, Bailin Wang, Ziyu Yao |
| 2023 | Explaining Model Confidence Using Counterfactuals. Thao Le, Tim Miller, Ronal Singh, Liz Sonenberg |
| 2023 | Explaining Random Forests Using Bipolar Argumentation and Markov Networks. Nico Potyka, Xiang Yin, Francesca Toni |
| 2023 | Explaining the Uncertainty in AI-Assisted Decision Making. Thao Le |
| 2023 | Explicit Invariant Feature Induced Cross-Domain Crowd Counting. Yiqing Cai, Lianggangxu Chen, Haoyue Guan, Shaohui Lin, Changhong Lu, Changbo Wang, Gaoqi He |
| 2023 | Exploit Domain-Robust Optical Flow in Domain Adaptive Video Semantic Segmentation. Yuan Gao, Zilei Wang, Jiafan Zhuang, Yixin Zhang, Junjie Li |
| 2023 | Exploiting High-Order Interaction Relations to Explore User Intent (Student Abstract). Xiangping Zheng, Xun Liang, Bo Wu |
| 2023 | Exploiting Multiple Abstractions in Episodic RL via Reward Shaping. Roberto Cipollone, Giuseppe De Giacomo, Marco Favorito, Luca Iocchi, Fabio Patrizi |
| 2023 | Exploration on Physics-Informed Neural Networks on Partial Differential Equations (Student Abstract). Hoa Ta, Shi Wen Wong, Nathan McClanahan, Jung-Han Kimn, Kaiqun Fu |
| 2023 | Exploration via Epistemic Value Estimation. Simon Schmitt, John Shawe-Taylor, Hado van Hasselt |
| 2023 | Exploratory Inference Learning for Scribble Supervised Semantic Segmentation. Chuanwei Zhou, Zhen Cui, Chunyan Xu, Cao Han, Jian Yang |
| 2023 | Exploring Artificial Intelligence in English Language Arts with StoryQ. Jie Chao, Rebecca Ellis, Shiyan Jiang, Carolyn P. Rosé, William Finzer, Cansu Tatar, James Fiacco, Kenia Wiedemann |
| 2023 | Exploring CLIP for Assessing the Look and Feel of Images. Jianyi Wang, Kelvin C. K. Chan, Chen Change Loy |
| 2023 | Exploring Faithful Rationale for Multi-Hop Fact Verification via Salience-Aware Graph Learning. Jiasheng Si, Yingjie Zhu, Deyu Zhou |
| 2023 | Exploring Hypergraph of Earnings Call for Risk Prediction (Student Abstract). Yi He, Wenxin Tai, Fan Zhou, Yi Yang |
| 2023 | Exploring Non-target Knowledge for Improving Ensemble Universal Adversarial Attacks. Juanjuan Weng, Zhiming Luo, Zhun Zhong, Dazhen Lin, Shaozi Li |
| 2023 | Exploring Self-Distillation Based Relational Reasoning Training for Document-Level Relation Extraction. Liang Zhang, Jinsong Su, Zijun Min, Zhongjian Miao, Qingguo Hu, Biao Fu, Xiaodong Shi, Yidong Chen |
| 2023 | Exploring Social Biases of Large Language Models in a College Artificial Intelligence Course. Skylar Kolisko, Carolyn Jane Anderson |
| 2023 | Exploring Stochastic Autoregressive Image Modeling for Visual Representation. Yu Qi, Fan Yang, Yousong Zhu, Yufei Liu, Liwei Wu, Rui Zhao, Wei Li |
| 2023 | Exploring Stroke-Level Modifications for Scene Text Editing. Yadong Qu, Qingfeng Tan, Hongtao Xie, Jianjun Xu, Yuxin Wang, Yongdong Zhang |
| 2023 | Exploring Temporal Information Dynamics in Spiking Neural Networks. Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Anna Hambitzer, Priyadarshini Panda |
| 2023 | Exploring Tradeoffs in Automated School Redistricting: Computational and Ethical Perspectives. Fanglan Chen, Subhodip Biswas, Zhiqian Chen, Shuo Lei, Naren Ramakrishnan, Chang-Tien Lu |
| 2023 | Exploring Tuning Characteristics of Ventral Stream's Neurons for Few-Shot Image Classification. Lintao Dong, Wei Zhai, Zheng-Jun Zha |
| 2023 | Exploring the Effectiveness of Mask-Guided Feature Modulation as a Mechanism for Localized Style Editing of Real Images (Student Abstract). Snehal Singh Tomar, Maitreya Suin, A. N. Rajagopalan |
| 2023 | Exploring the Interaction between Local and Global Latent Configurations for Clustering Single-Cell RNA-Seq: A Unified Perspective. Nairouz Mrabah, Mohamed Mahmoud Amar, Mohamed Bouguessa, Abdoulaye Baniré Diallo |
| 2023 | Exploring the Relative Value of Collaborative Optimisation Pathways (Student Abstract). Sudarshan Sreeram |
| 2023 | Exposing the Self-Supervised Space-Time Correspondence Learning via Graph Kernels. Zheyun Qin, Xiankai Lu, Xiushan Nie, Yilong Yin, Jianbing Shen |
| 2023 | Expressive Optimal Temporal Planning via Optimization Modulo Theory. Stefan Panjkovic, Andrea Micheli |
| 2023 | Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting It into MLPs: An Effective GNN-to-MLP Distillation Framework. Lirong Wu, Haitao Lin, Yufei Huang, Tianyu Fan, Stan Z. Li |
| 2023 | Extracting Semantic-Dynamic Features for Long-Term Stable Brain Computer Interface. Tao Fang, Qian Zheng, Yu Qi, Gang Pan |
| 2023 | FASTDIAGP: An Algorithm for Parallelized Direct Diagnosis. Viet-Man Le, Cristian Vidal Silva, Alexander Felfernig, David Benavides, José A. Galindo, Thi Ngoc Trang Tran |
| 2023 | FC-TrackNet: Fast Convergence Net for 6D Pose Tracking in Synthetic Domains. Di Jia, Qian Wang, Jun Cao, Peng Cai, Zhiyang Jin |
| 2023 | FEditNet: Few-Shot Editing of Latent Semantics in GAN Spaces. Mengfei Xia, Yezhi Shu, Yuji Wang, Yu-Kun Lai, Qiang Li, Pengfei Wan, Zhongyuan Wang, Yong-Jin Liu |
| 2023 | FLAME: Free-Form Language-Based Motion Synthesis & Editing. Jihoon Kim, Jiseob Kim, Sungjoon Choi |
| 2023 | FOLL-E: Teaching First Order Logic to Children. Simon Vandevelde, Joost Vennekens |
| 2023 | FSR: A General Frequency-Oriented Framework to Accelerate Image Super-resolution Networks. Jinmin Li, Tao Dai, Mingyan Zhu, Bin Chen, Zhi Wang, Shu-Tao Xia |
| 2023 | FTM: A Frame-Level Timeline Modeling Method for Temporal Graph Representation Learning. Bowen Cao, Qichen Ye, Weiyuan Xu, Yuexian Zou |
| 2023 | FV-Train: Quantum Convolutional Neural Network Training with a Finite Number of Qubits by Extracting Diverse Features (Student Abstract). Hankyul Baek, Won Joon Yun, Joongheon Kim |
| 2023 | FacT: Factor-Tuning for Lightweight Adaptation on Vision Transformer. Shibo Jie, Zhi-Hong Deng |
| 2023 | Facility Location Games with Entrance Fees. Mengfan Ma, Mingyu Xiao, Tian Bai, Bakh Khoussainov |
| 2023 | Factual and Informative Review Generation for Explainable Recommendation. Zhouhang Xie, Sameer Singh, Julian J. McAuley, Bodhisattwa Prasad Majumder |
| 2023 | Failure-Resistant Intelligent Interaction for Reliable Human-AI Collaboration. Hiromu Yakura |
| 2023 | Fair Division with Prioritized Agents. Xiaolin Bu, Zihao Li, Shengxin Liu, Jiaxin Song, Biaoshuai Tao |
| 2023 | Fair Generative Models via Transfer Learning. Christopher T. H. Teo, Milad Abdollahzadeh, Ngai-Man Cheung |
| 2023 | Fair Representation Learning for Recommendation: A Mutual Information Perspective. Chen Zhao, Le Wu, Pengyang Shao, Kun Zhang, Richang Hong, Meng Wang |
| 2023 | Fair Short Paths in Vertex-Colored Graphs. Matthias Bentert, Leon Kellerhals, Rolf Niedermeier |
| 2023 | Fair-CDA: Continuous and Directional Augmentation for Group Fairness. Rui Sun, Fengwei Zhou, Zhenhua Dong, Chuanlong Xie, Lanqing Hong, Jiawei Li, Rui Zhang, Zhen Li, Zhenguo Li |
| 2023 | FairFed: Enabling Group Fairness in Federated Learning. Yahya H. Ezzeldin, Shen Yan, Chaoyang He, Emilio Ferrara, Amir Salman Avestimehr |
| 2023 | Fairness Concepts for Indivisible Items with Externalities. Haris Aziz, Warut Suksompong, Zhaohong Sun, Toby Walsh |
| 2023 | Fairness and Explainability: Bridging the Gap towards Fair Model Explanations. Yuying Zhao, Yu Wang, Tyler Derr |
| 2023 | Fairness and Welfare Quantification for Regret in Multi-Armed Bandits. Siddharth Barman, Arindam Khan, Arnab Maiti, Ayush Sawarni |
| 2023 | Fairness in Contextual Resource Allocation Systems: Metrics and Incompatibility Results. Nathanael Jo, Bill Tang, Kathryn Dullerud, Sina Aghaei, Eric Rice, Phebe Vayanos |
| 2023 | FakeKG: A Knowledge Graph of Fake Claims for Improving Automated Fact-Checking (Student Abstract). Gautam Kishore Shahi |
| 2023 | FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms. Peng Qi, Yuyan Bu, Juan Cao, Wei Ji, Ruihao Shui, Junbin Xiao, Danding Wang, Tat-Seng Chua |
| 2023 | FanoutNet: A Neuralized PCB Fanout Automation Method Using Deep Reinforcement Learning. Haiyun Li, Jixin Zhang, Ning Xu, Mingyu Liu |
| 2023 | Farsighted Probabilistic Sampling: A General Strategy for Boosting Local Search MaxSAT Solvers. Jiongzhi Zheng, Kun He, Jianrong Zhou |
| 2023 | Fast Convergence in Learning Two-Layer Neural Networks with Separable Data. Hossein Taheri, Christos Thrampoulidis |
| 2023 | Fast Converging Anytime Model Counting. Yong Lai, Kuldeep S. Meel, Roland H. C. Yap |
| 2023 | Fast Counterfactual Inference for History-Based Reinforcement Learning. Haichuan Gao, Tianren Zhang, Zhile Yang, Yuqing Guo, Jinsheng Ren, Shangqi Guo, Feng Chen |
| 2023 | Fast Fluid Simulation via Dynamic Multi-Scale Gridding. Jinxian Liu, Ye Chen, Bingbing Ni, Wei Ren, Zhenbo Yu, Xiaoyang Huang |
| 2023 | Fast Offline Policy Optimization for Large Scale Recommendation. Otmane Sakhi, David Rohde, Alexandre Gilotte |
| 2023 | Fast Online Hashing with Multi-Label Projection. Wenzhe Jia, Yuan Cao, Junwei Liu, Jie Gui |
| 2023 | Fast Regularized Discrete Optimal Transport with Group-Sparse Regularizers. Yasutoshi Ida, Sekitoshi Kanai, Kazuki Adachi, Atsutoshi Kumagai, Yasuhiro Fujiwara |
| 2023 | Fast Saturating Gate for Learning Long Time Scales with Recurrent Neural Networks. Kentaro Ohno, Sekitoshi Kanai, Yasutoshi Ida |
| 2023 | Fast and Accurate Binary Neural Networks Based on Depth-Width Reshaping. Ping Xue, Yang Lu, Jingfei Chang, Xing Wei, Zhen Wei |
| 2023 | Fast and Interpretable Dynamics for Fisher Markets via Block-Coordinate Updates. Tianlong Nan, Yuan Gao, Christian Kroer |
| 2023 | FastAMI - a Monte Carlo Approach to the Adjustment for Chance in Clustering Comparison Metrics. Kai Klede, Leo Schwinn, Dario Zanca, Björn M. Eskofier |
| 2023 | Faster Adaptive Federated Learning. Xidong Wu, Feihu Huang, Zhengmian Hu, Heng Huang |
| 2023 | Faster Fair Machine via Transferring Fairness Constraints to Virtual Samples. Zhou Zhai, Lei Luo, Heng Huang, Bin Gu |
| 2023 | Fault Injection Based Interventional Causal Learning for Distributed Applications. Qing Wang, Jesus Rios, Saurabh Jha, Karthikeyan Shanmugam, Frank Bagehorn, Xi Yang, Robert Filepp, Naoki Abe, Larisa Shwartz |
| 2023 | Fault-Tolerant Offline Multi-Agent Path Planning. Keisuke Okumura, Sébastien Tixeuil |
| 2023 | Feature Decomposition for Reducing Negative Transfer: A Novel Multi-Task Learning Method for Recommender System (Student Abstract). Jie Zhou, Qian Yu, Chuan Luo, Jing Zhang |
| 2023 | Feature Distribution Fitting with Direction-Driven Weighting for Few-Shot Images Classification. Xin Wei, Wei Du, Huan Wan, Weidong Min |
| 2023 | Feature Normalization and Cartography-Based Demonstrations for Prompt-Based Fine-Tuning on Emotion-Related Tasks. Mahshid Hosseini, Cornelia Caragea |
| 2023 | Feature-Level Debiased Natural Language Understanding. Yougang Lyu, Piji Li, Yechang Yang, Maarten de Rijke, Pengjie Ren, Yukun Zhao, Dawei Yin, Zhaochun Ren |
| 2023 | Feature-Space Bayesian Adversarial Learning Improved Malware Detector Robustness. Bao Gia Doan, Shuiqiao Yang, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Seyit Camtepe, Salil S. Kanhere, Ehsan Abbasnejad, Damith C. Ranasinghe |
| 2023 | FedABC: Targeting Fair Competition in Personalized Federated Learning. Dui Wang, Li Shen, Yong Luo, Han Hu, Kehua Su, Yonggang Wen, Dacheng Tao |
| 2023 | FedALA: Adaptive Local Aggregation for Personalized Federated Learning. Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan |
| 2023 | FedGS: Federated Graph-Based Sampling with Arbitrary Client Availability. Zheng Wang, Xiaoliang Fan, Jianzhong Qi, Haibing Jin, Peizhen Yang, Siqi Shen, Cheng Wang |
| 2023 | FedMDFG: Federated Learning with Multi-Gradient Descent and Fair Guidance. Zibin Pan, Shuyi Wang, Chi Li, Haijin Wang, Xiaoying Tang, Junhua Zhao |
| 2023 | FedNP: Towards Non-IID Federated Learning via Federated Neural Propagation. Xueyang Wu, Hengguan Huang, Youlong Ding, Hao Wang, Ye Wang, Qian Xu |
| 2023 | Federated Generative Model on Multi-Source Heterogeneous Data in IoT. Zuobin Xiong, Wei Li, Zhipeng Cai |
| 2023 | Federated Learning on Non-IID Graphs via Structural Knowledge Sharing. Yue Tan, Yixin Liu, Guodong Long, Jing Jiang, Qinghua Lu, Chengqi Zhang |
| 2023 | Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated Learning. Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou |
| 2023 | FeedFormer: Revisiting Transformer Decoder for Efficient Semantic Segmentation. Jae-hun Shim, Hyunwoo Yu, Kyeongbo Kong, Suk-Ju Kang |
| 2023 | Few-Shot 3D Point Cloud Semantic Segmentation via Stratified Class-Specific Attention Based Transformer Network. Canyu Zhang, Zhenyao Wu, Xinyi Wu, Ziyu Zhao, Song Wang |
| 2023 | Few-Shot Composition Learning for Image Retrieval with Prompt Tuning. Junda Wu, Rui Wang, Handong Zhao, Ruiyi Zhang, Chaochao Lu, Shuai Li, Ricardo Henao |
| 2023 | Few-Shot Defect Image Generation via Defect-Aware Feature Manipulation. Yuxuan Duan, Yan Hong, Li Niu, Liqing Zhang |
| 2023 | Few-Shot Object Detection via Variational Feature Aggregation. Jiaming Han, Yuqiang Ren, Jian Ding, Ke Yan, Gui-Song Xia |
| 2023 | FiTs: Fine-Grained Two-Stage Training for Knowledge-Aware Question Answering. Qichen Ye, Bowen Cao, Nuo Chen, Weiyuan Xu, Yuexian Zou |
| 2023 | FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction. Kelong Mao, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong |
| 2023 | Find Beauty in the Rare: Contrastive Composition Feature Clustering for Nontrivial Cropping Box Regression. Zhiyu Pan, Yinpeng Chen, Jiale Zhang, Hao Lu, Zhiguo Cao, Weicai Zhong |
| 2023 | Finding Fair Allocations under Budget Constraints. Siddharth Barman, Arindam Khan, Sudarshan Shyam, K. V. N. Sreenivas |
| 2023 | Finding Good Partial Assignments during Restart-Based Branch and Bound Search. Hongbo Li, Jimmy H. M. Lee |
| 2023 | Fine-Grained Position Helps Memorizing More, a Novel Music Compound Transformer Model with Feature Interaction Fusion. Zuchao Li, Ruhan Gong, Yineng Chen, Kehua Su |
| 2023 | Fine-Grained Retrieval Prompt Tuning. Shijie Wang, Jianlong Chang, Zhihui Wang, Haojie Li, Wanli Ouyang, Qi Tian |
| 2023 | Finite Based Contraction and Expansion via Models. Ricardo Guimarães, Ana Ozaki, Jandson S. Ribeiro |
| 2023 | Fisher Markets with Social Influence. Jiayi Zhao, Denizalp Goktas, Amy Greenwald |
| 2023 | Fixed-Weight Difference Target Propagation. Tatsukichi Shibuya, Nakamasa Inoue, Rei Kawakami, Ikuro Sato |
| 2023 | Flaky Performances When Pretraining on Relational Databases (Student Abstract). Shengchao Liu, David Vázquez, Jian Tang, Pierre-André Noël |
| 2023 | Flexible 3D Lane Detection by Hierarchical Shape Matching. Zhihao Guan, Ruixin Liu, Zejian Yuan, Ao Liu, Kun Tang, Tong Zhou, Erlong Li, Chao Zheng, Shuqi Mei |
| 2023 | Flexible Budgets in Restless Bandits: A Primal-Dual Algorithm for Efficient Budget Allocation. Paula Rodriguez Diaz, Jackson A. Killian, Lily Xu, Arun Sai Suggala, Aparna Taneja, Milind Tambe |
| 2023 | Flora: Dual-Frequency LOss-Compensated ReAl-Time Monocular 3D Video Reconstruction. Likang Wang, Yue Gong, Qirui Wang, Kaixuan Zhou, Lei Chen |
| 2023 | Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery. Yiqin Yang, Hao Hu, Wenzhe Li, Siyuan Li, Jun Yang, Qianchuan Zhao, Chongjie Zhang |
| 2023 | Flow-Based Robust Watermarking with Invertible Noise Layer for Black-Box Distortions. Han Fang, Yupeng Qiu, Kejiang Chen, Jiyi Zhang, Weiming Zhang, Ee-Chien Chang |
| 2023 | FlowFace: Semantic Flow-Guided Shape-Aware Face Swapping. Hao Zeng, Wei Zhang, Changjie Fan, Tangjie Lv, Suzhen Wang, Zhimeng Zhang, Bowen Ma, Lincheng Li, Yu Ding, Xin Yu |
| 2023 | FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning. Yulei Qin, Xingyu Chen, Chao Chen, Yunhang Shen, Bo Ren, Yun Gu, Jie Yang, Chunhua Shen |
| 2023 | Food Information Engineering: A Systematic Literature Review. Azanzi Jiomekong |
| 2023 | For the Underrepresented in Gender Bias Research: Chinese Name Gender Prediction with Heterogeneous Graph Attention Network. Zihao Pan, Kai Peng, Shuai Ling, Haipeng Zhang |
| 2023 | Forecasting with Sparse but Informative Variables: A Case Study in Predicting Blood Glucose. Harry Rubin-Falcone, Joyce M. Lee, Jenna Wiens |
| 2023 | Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary Environment. Qiuhao Zeng, Wei Wang, Fan Zhou, Charles Ling, Boyu Wang |
| 2023 | Formal Verification of Bayesian Mechanisms. Munyque Mittelmann, Bastien Maubert, Aniello Murano, Laurent Perrussel |
| 2023 | Formalising the Robustness of Counterfactual Explanations for Neural Networks. Junqi Jiang, Francesco Leofante, Antonio Rago, Francesca Toni |
| 2023 | Formally Verified SAT-Based AI Planning. Mohammad Abdulaziz, Friedrich Kurz |
| 2023 | Formally Verified Solution Methods for Markov Decision Processes. Maximilian Schäffeler, Mohammad Abdulaziz |
| 2023 | Foundation Model for Material Science. Seiji Takeda, Akihiro Kishimoto, Lisa Hamada, Daiju Nakano, John R. Smith |
| 2023 | Foundations of Cooperative AI. Vincent Conitzer, Caspar Oesterheld |
| 2023 | Fourier-Net: Fast Image Registration with Band-Limited Deformation. Xi Jia, Joseph Bartlett, Wei Chen, Siyang Song, Tianyang Zhang, Xinxing Cheng, Wenqi Lu, Zhaowen Qiu, Jinming Duan |
| 2023 | Frame-Level Label Refinement for Skeleton-Based Weakly-Supervised Action Recognition. Qing Yu, Kent Fujiwara |
| 2023 | Fraud's Bargain Attacks to Textual Classifiers via Metropolis-Hasting Sampling (Student Abstract). Mingze Ni, Zhensu Sun, Wei Liu |
| 2023 | FreeEnricher: Enriching Face Landmarks without Additional Cost. Yangyu Huang, Xi Chen, Jongyoo Kim, Hao Yang, Chong Li, Jiaolong Yang, Dong Chen |
| 2023 | Frequency Domain Disentanglement for Arbitrary Neural Style Transfer. Dongyang Li, Hao Luo, Pichao Wang, Zhibin Wang, Shang Liu, Fan Wang |
| 2023 | Frequency Selective Augmentation for Video Representation Learning. Jinhyung Kim, Taeoh Kim, Minho Shim, Dongyoon Han, Dongyoon Wee, Junmo Kim |
| 2023 | Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis. Wan-Cyuan Fan, Yen-Chun Chen, Dongdong Chen, Yu Cheng, Lu Yuan, Yu-Chiang Frank Wang |
| 2023 | From Coarse to Fine: Hierarchical Pixel Integration for Lightweight Image Super-resolution. Jie Liu, Chao Chen, Jie Tang, Gangshan Wu |
| 2023 | From Monopoly to Competition: Optimal Contests Prevail. Xiaotie Deng, Yotam Gafni, Ron Lavi, Tao Lin, Hongyi Ling |
| 2023 | From Understanding the Population Dynamics of the NSGA-II to the First Proven Lower Bounds. Benjamin Doerr, Zhongdi Qu |
| 2023 | From Width-Based Model Checking to Width-Based Automated Theorem Proving. Mateus de Oliveira Oliveira, Farhad Vadiee |
| 2023 | Frustratingly Easy Truth Discovery. Reshef Meir, Ofra Amir, Omer Ben-Porat, Tsviel Ben Shabat, Gal Cohensius, Lirong Xia |
| 2023 | Fully Computer-Assisted Proofs in Extremal Combinatorics. Olaf Parczyk, Sebastian Pokutta, Christoph Spiegel, Tibor Szabó |
| 2023 | Fully Dynamic Online Selection through Online Contention Resolution Schemes. Vashist Avadhanula, Andrea Celli, Riccardo Colini-Baldeschi, Stefano Leonardi, Matteo Russo |
| 2023 | Fully Online Matching with Stochastic Arrivals and Departures. Zihao Li, Hao Wang, Zhenzhen Yan |
| 2023 | Fully-Dynamic Decision Trees. Marco Bressan, Gabriel Damay, Mauro Sozio |
| 2023 | Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games. Chun Kai Ling, J. Zico Kolter, Fei Fang |
| 2023 | Fundamentals of Task-Agnostic Data Valuation. Mohammad Mohammadi Amiri, Frederic Berdoz, Ramesh Raskar |
| 2023 | Future Aware Pricing and Matching for Sustainable On-Demand Ride Pooling. Xianjie Zhang, Pradeep Varakantham, Hao Jiang |
| 2023 | Fuzzy C-means: Differences on Clustering Behavior between High Dimensional and Functional Data (Student Abstract). Carlos Ramos-Carreño |
| 2023 | GAAMA 2.0: An Integrated System That Answers Boolean and Extractive Questions. J. Scott McCarley, Mihaela A. Bornea, Sara Rosenthal, Anthony Ferritto, Md. Arafat Sultan, Avirup Sil, Radu Florian |
| 2023 | GAM: Gradient Attention Module of Optimization for Point Clouds Analysis. Haotian Hu, Fanyi Wang, Zhiwang Zhang, Yaonong Wang, Laifeng Hu, Yanhao Zhang |
| 2023 | GAN Prior Based Null-Space Learning for Consistent Super-resolution. Yinhuai Wang, Yujie Hu, Jiwen Yu, Jian Zhang |
| 2023 | GAN-Based Domain Inference Attack. Yuechun Gu, Keke Chen |
| 2023 | GANTEE: Generative Adversarial Network for Taxonomy Enterance Evaluation. Zhouhong Gu, Sihang Jiang, Jingping Liu, Yanghua Xiao, Hongwei Feng, Zhixu Li, Jiaqing Liang, Jian Zhong |
| 2023 | GENNAPE: Towards Generalized Neural Architecture Performance Estimators. Keith G. Mills, Fred X. Han, Jialin Zhang, Fabian Chudak, Ali Safari Mamaghani, Mohammad Salameh, Wei Lu, Shangling Jui, Di Niu |
| 2023 | GLCC: A General Framework for Graph-Level Clustering. Wei Ju, Yiyang Gu, Binqi Chen, Gongbo Sun, Yifang Qin, Xingyuming Liu, Xiao Luo, Ming Zhang |
| 2023 | GLT-T: Global-Local Transformer Voting for 3D Single Object Tracking in Point Clouds. Jiahao Nie, Zhiwei He, Yuxiang Yang, Mingyu Gao, Jing Zhang |
| 2023 | GLUECons: A Generic Benchmark for Learning under Constraints. Hossein Rajaby Faghihi, Aliakbar Nafar, Chen Zheng, Roshanak Mirzaee, Yue Zhang, Andrzej Uszok, Alexander Wan, Tanawan Premsri, Dan Roth, Parisa Kordjamshidi |
| 2023 | GMDNet: A Graph-Based Mixture Density Network for Estimating Packages' Multimodal Travel Time Distribution. Xiaowei Mao, Huaiyu Wan, Haomin Wen, Fan Wu, Jianbin Zheng, Yuting Qiang, Shengnan Guo, Lixia Wu, Haoyuan Hu, Youfang Lin |
| 2023 | GOHSP: A Unified Framework of Graph and Optimization-Based Heterogeneous Structured Pruning for Vision Transformer. Miao Yin, Burak Uzkent, Yilin Shen, Hongxia Jin, Bo Yuan |
| 2023 | GPTR: Gestalt-Perception Transformer for Diagram Object Detection. Xin Hu, Lingling Zhang, Jun Liu, Jinfu Fan, Yang You, Yaqiang Wu |
| 2023 | GRASMOS: Graph Signage Model Selection for Gene Regulatory Networks. Angelina Brilliantova, Hannah Miller, Ivona Bezáková |
| 2023 | GRIP: Graph Representation of Immune Repertoire Using Graph Neural Network and Transformer. Yongju Lee, Hyunho Lee, Kyoungseob Shin, Sunghoon Kwon |
| 2023 | GRLSTM: Trajectory Similarity Computation with Graph-Based Residual LSTM. Silin Zhou, Jing Li, Hao Wang, Shuo Shang, Peng Han |
| 2023 | Game Implementation: What Are the Obstructions? Jiehua Chen, Seyedeh Negar Layegh Khavidaki, Sebastian Vincent Haydn, Sofia Simola, Manuel Sorge |
| 2023 | General Acyclicity and Cyclicity Notions for the Disjunctive Skolem Chase. Lukas Gerlach, David Carral |
| 2023 | Generalization Bounds for Inductive Matrix Completion in Low-Noise Settings. Antoine Ledent, Rodrigo Alves, Yunwen Lei, Yann Guermeur, Marius Kloft |
| 2023 | Generalized Category Discovery with Decoupled Prototypical Network. Wenbin An, Feng Tian, Qinghua Zheng, Wei Ding, Qianying Wang, Ping Chen |
| 2023 | Generalized Cell Type Annotation and Discovery for Single-Cell RNA-Seq Data. Yuyao Zhai, Liang Chen, Minghua Deng |
| 2023 | Generalized Confidence Constraints. Guillaume Perez, Steve Malalel, Gael Glorian, Victor Jung, Alexandre Papadopoulos, Marie Pelleau, Wijnand Suijlen, Jean-Charles Régin, Arnaud Lallouet |
| 2023 | Generalized Semantic Segmentation by Self-Supervised Source Domain Projection and Multi-Level Contrastive Learning. Liwei Yang, Xiang Gu, Jian Sun |
| 2023 | Generalizing Downsampling from Regular Data to Graphs. Davide Bacciu, Alessio Conte, Francesco Landolfi |
| 2023 | Generalizing Math Word Problem Solvers via Solution Diversification. Zhenwen Liang, Jipeng Zhang, Lei Wang, Yan Wang, Jie Shao, Xiangliang Zhang |
| 2023 | Generalizing Multiple Object Tracking to Unseen Domains by Introducing Natural Language Representation. En Yu, Songtao Liu, Zhuoling Li, Jinrong Yang, Zeming Li, Shoudong Han, Wenbing Tao |
| 2023 | Generating Coherent Narratives by Learning Dynamic and Discrete Entity States with a Contrastive Framework. Jian Guan, Zhenyu Yang, Rongsheng Zhang, Zhipeng Hu, Minlie Huang |
| 2023 | Generating Reflective Questions for Engaging Gallery Visitors in ArtMuse. Sujatha Das Gollapalli, Mingzhe Du, See-Kiong Ng |
| 2023 | Generating Transferable 3D Adversarial Point Cloud via Random Perturbation Factorization. Bangyan He, Jian Liu, Yiming Li, Siyuan Liang, Jingzhi Li, Xiaojun Jia, Xiaochun Cao |
| 2023 | Generative Decision Making Under Uncertainty. Aditya Grover |
| 2023 | Generative Image Inpainting with Segmentation Confusion Adversarial Training and Contrastive Learning. Zhiwen Zuo, Lei Zhao, Ailin Li, Zhizhong Wang, Zhanjie Zhang, Jiafu Chen, Wei Xing, Dongming Lu |
| 2023 | Generative Label Enhancement with Gaussian Mixture and Partial Ranking. Yunan Lu, Liang He, Fan Min, Weiwei Li, Xiuyi Jia |
| 2023 | Generative Pipeline for Data Augmentation of Unconstrained Document Images with Structural and Textural Degradation (Student Abstract). Arnab Poddar, Abhishek Kumar Sah, Soumyadeep Dey, Pratik Jawanpuria, Jayanta Mukhopadhyay, Prabir Kumar Biswas |
| 2023 | Generic and Dynamic Graph Representation Learning for Crowd Flow Modeling. Liangzhe Han, Ruixing Zhang, Leilei Sun, Bowen Du, Yanjie Fu, Tongyu Zhu |
| 2023 | GenéLive! Generating Rhythm Actions in Love Live! Atsushi Takada, Daichi Yamazaki, Yudai Yoshida, Nyamkhuu Ganbat, Takayuki Shimotomai, Naoki Hamada, Likun Liu, Taiga Yamamoto, Daisuke Sakurai |
| 2023 | Geometric Inductive Biases for Identifiable Unsupervised Learning of Disentangled Representations. Ziqi Pan, Li Niu, Liqing Zhang |
| 2023 | Geometry-Aware Network for Domain Adaptive Semantic Segmentation. Yinghong Liao, Wending Zhou, Xu Yan, Zhen Li, Yizhou Yu, Shuguang Cui |
| 2023 | Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis. Han Xuanyuan, Pietro Barbiero, Dobrik Georgiev, Lucie Charlotte Magister, Pietro Liò |
| 2023 | Global Convergence of Two-Timescale Actor-Critic for Solving Linear Quadratic Regulator. Xuyang Chen, Jingliang Duan, Yingbin Liang, Lin Zhao |
| 2023 | Global Dilated Attention and Target Focusing Network for Robust Tracking. Yun Liang, Qiaoqiao Li, Fumian Long |
| 2023 | Global Explanations for Image Classifiers (Student Abstract). Bhavan K. Vasu, Prasad Tadepalli |
| 2023 | Global Mixup: Eliminating Ambiguity with Clustering. Xiangjin Xie, Yangning Li, Wang Chen, Kai Ouyang, Zuotong Xie, Haitao Zheng |
| 2023 | Global-Local Characteristic Excited Cross-Modal Attacks from Images to Videos. Ruikui Wang, Yuanfang Guo, Yunhong Wang |
| 2023 | Goal-Conditioned Generators of Deep Policies. Francesco Faccio, Vincent Herrmann, Aditya A. Ramesh, Louis Kirsch, Jürgen Schmidhuber |
| 2023 | Goal-Conditioned Q-learning as Knowledge Distillation. Alexander Levine, Soheil Feizi |
| 2023 | Good Helper Is around You: Attention-Driven Masked Image Modeling. Zhengqi Liu, Jie Gui, Hao Luo |
| 2023 | GradPU: Positive-Unlabeled Learning via Gradient Penalty and Positive Upweighting. Songmin Dai, Xiaoqiang Li, Yue Zhou, Xichen Ye, Tong Liu |
| 2023 | Gradient Corner Pooling for Keypoint-Based Object Detection. Xuyang Li, Xuemei Xie, Mingxuan Yu, Jiakai Luo, Chengwei Rao, Guangming Shi |
| 2023 | Gradient Estimation for Binary Latent Variables via Gradient Variance Clipping. Russell Z. Kunes, Mingzhang Yin, Max Land, Doron Haviv, Dana Pe'er, Simon Tavaré |
| 2023 | Gradient-Adaptive Pareto Optimization for Constrained Reinforcement Learning. Zixian Zhou, Mengda Huang, Feiyang Pan, Jia He, Xiang Ao, Dandan Tu, Qing He |
| 2023 | Gradient-Based Graph Attention for Scene Text Image Super-resolution. Xiangyuan Zhu, Kehua Guo, Hui Fang, Rui Ding, Zheng Wu, Gerald Schaefer |
| 2023 | Gradient-Variation Bound for Online Convex Optimization with Constraints. Shuang Qiu, Xiaohan Wei, Mladen Kolar |
| 2023 | Grape Cold Hardiness Prediction via Multi-Task Learning. Aseem Saxena, Paola Pesantez-Cabrera, Rohan Ballapragada, Kin-Ho Lam, Markus Keller, Alan Fern |
| 2023 | Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View. Jingcan Duan, Siwei Wang, Pei Zhang, En Zhu, Jingtao Hu, Hu Jin, Yue Liu, Zhibin Dong |
| 2023 | Graph Component Contrastive Learning for Concept Relatedness Estimation. Yueen Ma, Zixing Song, Xuming Hu, Jingjing Li, Yifei Zhang, Irwin King |
| 2023 | Graph Knows Unknowns: Reformulate Zero-Shot Learning as Sample-Level Graph Recognition. Jingcai Guo, Song Guo, Qihua Zhou, Ziming Liu, Xiaocheng Lu, Fushuo Huo |
| 2023 | Graph Ordering Attention Networks. Michail Chatzianastasis, Johannes F. Lutzeyer, George Dasoulas, Michalis Vazirgiannis |
| 2023 | Graph Structure Learning on User Mobility Data for Social Relationship Inference. Guangming Qin, Lexue Song, Yanwei Yu, Chao Huang, Wenzhe Jia, Yuan Cao, Junyu Dong |
| 2023 | Graph of Graphs: A New Knowledge Representation Mechanism for Graph Learning (Student Abstract). Zhiwei Zhen, Yuzhou Chen, Murat Kantarcioglu, Yulia R. Gel |
| 2023 | GraphPrompt: Graph-Based Prompt Templates for Biomedical Synonym Prediction. Hanwen Xu, Jiayou Zhang, Zhirui Wang, Shizhuo Zhang, Megh Bhalerao, Yucong Liu, Dawei Zhu, Sheng Wang |
| 2023 | GraphSR: A Data Augmentation Algorithm for Imbalanced Node Classification. Mengting Zhou, Zhiguo Gong |
| 2023 | Graphix-T5: Mixing Pre-trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing. Jinyang Li, Binyuan Hui, Reynold Cheng, Bowen Qin, Chenhao Ma, Nan Huo, Fei Huang, Wenyu Du, Luo Si, Yongbin Li |
| 2023 | Graphs, Constraints, and Search for the Abstraction and Reasoning Corpus. Yudong Xu, Elias B. Khalil, Scott Sanner |
| 2023 | Grouped Knowledge Distillation for Deep Face Recognition. Weisong Zhao, Xiangyu Zhu, Kaiwen Guo, Xiaoyu Zhang, Zhen Lei |
| 2023 | Grouping Matrix Based Graph Pooling with Adaptive Number of Clusters. Sung Moon Ko, Sungjun Cho, Dae-Woong Jeong, Sehui Han, Moontae Lee, Honglak Lee |
| 2023 | GuidedMixup: An Efficient Mixup Strategy Guided by Saliency Maps. Minsoo Kang, Suhyun Kim |
| 2023 | Guiding Students to Investigate What Google Speech Recognition Knows about Language. David S. Touretzky, Christina Gardner-McCune |
| 2023 | H-AES: Towards Automated Essay Scoring for Hindi. Shubhankar Singh, Anirudh Pupneja, Shivaansh Mital, Cheril Shah, Manish Bawkar, Lakshman Prasad Gupta, Ajit Kumar, Yaman Kumar, Rushali Gupta, Rajiv Ratn Shah |
| 2023 | H-TSP: Hierarchically Solving the Large-Scale Traveling Salesman Problem. Xuanhao Pan, Yan Jin, Yuandong Ding, Mingxiao Feng, Li Zhao, Lei Song, Jiang Bian |
| 2023 | HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks. Jinqi Xiao, Chengming Zhang, Yu Gong, Miao Yin, Yang Sui, Lizhi Xiang, Dingwen Tao, Bo Yuan |
| 2023 | HAPI Explorer: Comprehension, Discovery, and Explanation on History of ML APIs. Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Huamin Qu, Christopher Ré, Matei Zaharia, James Zou |
| 2023 | HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism. Zhiwei Xu, Yunpeng Bai, Bin Zhang, Dapeng Li, Guoliang Fan |
| 2023 | HG-SL: Jointly Learning of Global and Local User Spreading Behavior for Fake News Early Detection. Ling Sun, Yuan Rao, Yuqian Lan, Bingcan Xia, Yangyang Li |
| 2023 | HOTCOLD Block: Fooling Thermal Infrared Detectors with a Novel Wearable Design. Hui Wei, Zhixiang Wang, Xuemei Jia, Yinqiang Zheng, Hao Tang, Shin'ichi Satoh, Zheng Wang |
| 2023 | HRDoc: Dataset and Baseline Method toward Hierarchical Reconstruction of Document Structures. Jiefeng Ma, Jun Du, Pengfei Hu, Zhenrong Zhang, Jianshu Zhang, Huihui Zhu, Cong Liu |
| 2023 | HVTSurv: Hierarchical Vision Transformer for Patient-Level Survival Prediction from Whole Slide Image. Zhuchen Shao, Yang Chen, Hao Bian, Jian Zhang, Guojun Liu, Yongbing Zhang |
| 2023 | HaPPy: Harnessing the Wisdom from Multi-Perspective Graphs for Protein-Ligand Binding Affinity Prediction (Student Abstract). Xianfeng Zhang, Yanhui Gu, Guandong Xu, Yafei Li, Jinlan Wang, Zhenglu Yang |
| 2023 | Handling Missing Data via Max-Entropy Regularized Graph Autoencoder. Ziqi Gao, Yifan Niu, Jiashun Cheng, Jianheng Tang, Lanqing Li, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li |
| 2023 | Hard Sample Aware Network for Contrastive Deep Graph Clustering. Yue Liu, Xihong Yang, Sihang Zhou, Xinwang Liu, Zhen Wang, Ke Liang, Wenxuan Tu, Liang Li, Jingcan Duan, Cancan Chen |
| 2023 | Hardness of Learning AES Key (Student Abstract). Artur Pak, Sultan Nurmukhamedov, Rustem Takhanov, Zhenisbek Assylbekov |
| 2023 | Head-Free Lightweight Semantic Segmentation with Linear Transformer. Bo Dong, Pichao Wang, Fan Wang |
| 2023 | Help Me Heal: A Reinforced Polite and Empathetic Mental Health and Legal Counseling Dialogue System for Crime Victims. Kshitij Mishra, Priyanshu Priya, Asif Ekbal |
| 2023 | Heterogeneous Graph Learning for Multi-Modal Medical Data Analysis. Sein Kim, Namkyeong Lee, Junseok Lee, Dongmin Hyun, Chanyoung Park |
| 2023 | Heterogeneous Graph Masked Autoencoders. Yijun Tian, Kaiwen Dong, Chunhui Zhang, Chuxu Zhang, Nitesh V. Chawla |
| 2023 | Heterogeneous Region Embedding with Prompt Learning. Silin Zhou, Dan He, Lisi Chen, Shuo Shang, Peng Han |
| 2023 | Heterogeneous-Branch Collaborative Learning for Dialogue Generation. Yiwei Li, Shaoxiong Feng, Bin Sun, Kan Li |
| 2023 | Heuristic Search for Multi-Objective Probabilistic Planning. Dillon Ze Chen, Felipe W. Trevizan, Sylvie Thiébaux |
| 2023 | Heuristic Search in Dual Space for Constrained Fixed-Horizon POMDPs with Durative Actions. Majid Khonji, Duoaa Khalifa |
| 2023 | Hey, Siri! Why Are You Biased against Women? (Student Abstract). Surakshya Aryal, Mikel K. Ngueajio, Saurav Keshari Aryal, Gloria J. Washington |
| 2023 | Hierarchical ConViT with Attention-Based Relational Reasoner for Visual Analogical Reasoning. Wentao He, Jialu Zhang, Jianfeng Ren, Ruibin Bai, Xudong Jiang |
| 2023 | Hierarchical Consistent Contrastive Learning for Skeleton-Based Action Recognition with Growing Augmentations. Jiahang Zhang, Lilang Lin, Jiaying Liu |
| 2023 | Hierarchical Contrast for Unsupervised Skeleton-Based Action Representation Learning. Jianfeng Dong, Shengkai Sun, Zhonglin Liu, Shujie Chen, Baolong Liu, Xun Wang |
| 2023 | Hierarchical Contrastive Learning for Temporal Point Processes. Qingmei Wang, Minjie Cheng, Shen Yuan, Hongteng Xu |
| 2023 | Hierarchical Event Grounding. Jiefu Ou, Adithya Pratapa, Rishubh Gupta, Teruko Mitamura |
| 2023 | Hierarchical Mean-Field Deep Reinforcement Learning for Large-Scale Multiagent Systems. Chao Yu |
| 2023 | Hierarchical Text Classification as Sub-hierarchy Sequence Generation. Sanghun Im, Gibaeg Kim, Heung-Seon Oh, Seongung Jo, Donghwan Kim |
| 2023 | High-Dimensional Dueling Optimization with Preference Embedding. Yangwenhui Zhang, Hong Qian, Xiang Shu, Aimin Zhou |
| 2023 | High-Level Semantic Feature Matters Few-Shot Unsupervised Domain Adaptation. Lei Yu, Wanqi Yang, Shengqi Huang, Lei Wang, Ming Yang |
| 2023 | High-Resolution GAN Inversion for Degraded Images in Large Diverse Datasets. Yanbo Wang, Chuming Lin, Donghao Luo, Ying Tai, Zhizhong Zhang, Yuan Xie |
| 2023 | High-Resolution Iterative Feedback Network for Camouflaged Object Detection. Xiaobin Hu, Shuo Wang, Xuebin Qin, Hang Dai, Wenqi Ren, Donghao Luo, Ying Tai, Ling Shao |
| 2023 | High-Throughput, High-Performance Deep Learning-Driven Light Guide Plate Surface Visual Quality Inspection Tailored for Real-World Manufacturing Environments. Carol Xu, Mahmoud Famouri, Gautam Bathla, Mohammad Javad Shafiee, Alexander Wong |
| 2023 | Holistic Adversarial Robustness of Deep Learning Models. Pin-Yu Chen, Sijia Liu |
| 2023 | How to Cut a Discrete Cake Fairly. Ayumi Igarashi |
| 2023 | Human Assisted Learning by Evolutionary Multi-Objective Optimization. Dan-Xuan Liu, Xin Mu, Chao Qian |
| 2023 | Human Joint Kinematics Diffusion-Refinement for Stochastic Motion Prediction. Dong Wei, Huaijiang Sun, Bin Li, Jianfeng Lu, Weiqing Li, Xiaoning Sun, Shengxiang Hu |
| 2023 | Human Mobility Modeling during the COVID-19 Pandemic via Deep Graph Diffusion Infomax. Yang Liu, Yu Rong, Zhuoning Guo, Nuo Chen, Tingyang Xu, Fugee Tsung, Jia Li |
| 2023 | Human-Aware AI - A Foundational Framework for Human-AI Interaction. Sarath Sreedharan |
| 2023 | Human-Instructed Deep Hierarchical Generative Learning for Automated Urban Planning. Dongjie Wang, Lingfei Wu, Denghui Zhang, Jingbo Zhou, Leilei Sun, Yanjie Fu |
| 2023 | Human-in-the-Loop Vehicle ReID. Zepeng Li, Dongxiang Zhang, Yanyan Shen, Gang Chen |
| 2023 | Hybrid CNN-Transformer Feature Fusion for Single Image Deraining. Xiang Chen, Jinshan Pan, Jiyang Lu, Zhentao Fan, Hao Li |
| 2023 | Hybrid Learning with New Value Function for the Maximum Common Induced Subgraph Problem. Yanli Liu, Jiming Zhao, Chu-Min Li, Hua Jiang, Kun He |
| 2023 | Hybrid Pixel-Unshuffled Network for Lightweight Image Super-resolution. Bin Sun, Yulun Zhang, Songyao Jiang, Yun Fu |
| 2023 | HybridCap: Inertia-Aid Monocular Capture of Challenging Human Motions. Han Liang, Yannan He, Chengfeng Zhao, Mutian Li, Jingya Wang, Jingyi Yu, Lan Xu |
| 2023 | HybridPrompt: Bridging Language Models and Human Priors in Prompt Tuning for Visual Question Answering. Zhiyuan Ma, Zhihuan Yu, Jianjun Li, Guohui Li |
| 2023 | HyperJump: Accelerating HyperBand via Risk Modelling. Pedro Mendes, Maria Casimiro, Paolo Romano, David Garlan |
| 2023 | Hypernetworks for Zero-Shot Transfer in Reinforcement Learning. Sahand Rezaei-Shoshtari, Charlotte Morissette, François Robert Hogan, Gregory Dudek, David Meger |
| 2023 | Hypotheses Tree Building for One-Shot Temporal Sentence Localization. Daizong Liu, Xiang Fang, Pan Zhou, Xing Di, Weining Lu, Yu Cheng |
| 2023 | I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs. Dongjin Lee, Kijung Shin |
| 2023 | IKOL: Inverse Kinematics Optimization Layer for 3D Human Pose and Shape Estimation via Gauss-Newton Differentiation. Juze Zhang, Ye Shi, Yuexin Ma, Lan Xu, Jingyi Yu, Jingya Wang |
| 2023 | ILSGAN: Independent Layer Synthesis for Unsupervised Foreground-Background Segmentation. Qiran Zou, Yu Yang, Wing Yin Cheung, Chang Liu, Xiangyang Ji |
| 2023 | IdProv: Identity-Based Provenance for Synthetic Image Generation (Student Abstract). Harshil Bhatia, Jaisidh Singh, Gaurav Sangwan, Aparna Bharati, Richa Singh, Mayank Vatsa |
| 2023 | Identification and Estimation of the Probabilities of Potential Outcome Types Using Covariate Information in Studies with Non-compliance. Yuta Kawakami, Ryusei Shingaki, Manabu Kuroki |
| 2023 | Identify Event Causality with Knowledge and Analogy. Sifan Wu, Ruihui Zhao, Yefeng Zheng, Jian Pei, Bang Liu |
| 2023 | Identifying Selection Bias from Observational Data. David Kaltenpoth, Jilles Vreeken |
| 2023 | Identifying and Eliminating Majority Illusion in Social Networks. Umberto Grandi, Lawqueen Kanesh, Grzegorz Lisowski, Ramanujan Sridharan, Paolo Turrini |
| 2023 | ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification. Liang Zeng, Lanqing Li, Ziqi Gao, Peilin Zhao, Jian Li |
| 2023 | ImageNet Pre-training Also Transfers Non-robustness. Jiaming Zhang, Jitao Sang, Qi Yi, Yunfan Yang, Huiwen Dong, Jian Yu |
| 2023 | Imbalanced Label Distribution Learning. Xingyu Zhao, Yuexuan An, Ning Xu, Jing Wang, Xin Geng |
| 2023 | Imperceptible Adversarial Attack via Invertible Neural Networks. Zihan Chen, Ziyue Wang, Jun-Jie Huang, Wentao Zhao, Xiao Liu, Dejian Guan |
| 2023 | Implementing Bounded Revision via Lexicographic Revision and C-revision. Meliha Sezgin, Gabriele Kern-Isberner |
| 2023 | Implicit Bilevel Optimization: Differentiating through Bilevel Optimization Programming. Francesco Alesiani |
| 2023 | Implicit Stochastic Gradient Descent for Training Physics-Informed Neural Networks. Ye Li, Songcan Chen, Sheng-Jun Huang |
| 2023 | Improved Algorithm for Regret Ratio Minimization in Multi-Objective Submodular Maximization. Yanhao Wang, Jiping Zheng, Fanxu Meng |
| 2023 | Improved Algorithms for Maximum Satisfiability and Its Special Cases. Kirill Brilliantov, Vasily Alferov, Ivan Bliznets |
| 2023 | Improved Kernel Alignment Regret Bound for Online Kernel Learning. Junfan Li, Shizhong Liao |
| 2023 | Improvement-Focused Causal Recourse (ICR). Gunnar König, Timo Freiesleben, Moritz Grosse-Wentrup |
| 2023 | Improving Adversarial Robustness to Sensitivity and Invariance Attacks with Deep Metric Learning (Student Abstract). Anaelia Ovalle, Evan Czyzycki, Cho-Jui Hsieh |
| 2023 | Improving Adversarial Robustness with Self-Paced Hard-Class Pair Reweighting. Pengyue Hou, Jie Han, Xingyu Li |
| 2023 | Improving Biomedical Entity Linking with Cross-Entity Interaction. Zhenran Xu, Yulin Chen, Baotian Hu |
| 2023 | Improving Crowded Object Detection via Copy-Paste. Jiangfan Deng, Dewen Fan, Xiaosong Qiu, Feng Zhou |
| 2023 | Improving Dialogue Intent Classification with a Knowledge-Enhanced Multifactor Graph Model (Student Abstract). Huinan Xu, Jinhui Pang, Shuangyong Song, Bo Zou |
| 2023 | Improving Distantly Supervised Relation Extraction by Natural Language Inference. Kang Zhou, Qiao Qiao, Yuepei Li, Qi Li |
| 2023 | Improving Dynamic HDR Imaging with Fusion Transformer. Rufeng Chen, Bolun Zheng, Hua Zhang, Quan Chen, Chenggang Yan, Gregory G. Slabaugh, Shanxin Yuan |
| 2023 | Improving End-to-End Speech Translation by Leveraging Auxiliary Speech and Text Data. Yuhao Zhang, Chen Xu, Bojie Hu, Chunliang Zhang, Tong Xiao, Jingbo Zhu |
| 2023 | Improving Fairness in Information Exposure by Adding Links. Ruben Becker, Gianlorenzo D'Angelo, Sajjad Ghobadi |
| 2023 | Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations. Jiahao Chen, Zitao Liu, Shuyan Huang, Qiongqiong Liu, Weiqi Luo |
| 2023 | Improving Interpretability via Explicit Word Interaction Graph Layer. Arshdeep Sekhon, Hanjie Chen, Aman Shrivastava, Zhe Wang, Yangfeng Ji, Yanjun Qi |
| 2023 | Improving Long-Horizon Imitation through Instruction Prediction. Joey Hejna, Pieter Abbeel, Lerrel Pinto |
| 2023 | Improving Pareto Front Learning via Multi-Sample Hypernetworks. Long P. Hoang, Dung D. Le, Tran Anh Tuan, Tran Ngoc Thang |
| 2023 | Improving Robotic Tactile Localization Super-resolution via Spatiotemporal Continuity Learning and Overlapping Air Chambers. Xuyang Li, Yipu Zhang, Xuemei Xie, Jiawei Li, Guangming Shi |
| 2023 | Improving Robust Fariness via Balance Adversarial Training. Chunyu Sun, Chenye Xu, Chengyuan Yao, Siyuan Liang, Yichao Wu, Ding Liang, Xianglong Liu, Aishan Liu |
| 2023 | Improving Scene Text Image Super-resolution via Dual Prior Modulation Network. Shipeng Zhu, Zuoyan Zhao, Pengfei Fang, Hui Xue |
| 2023 | Improving Simultaneous Machine Translation with Monolingual Data. Hexuan Deng, Liang Ding, Xuebo Liu, Meishan Zhang, Dacheng Tao, Min Zhang |
| 2023 | Improving Training and Inference of Face Recognition Models via Random Temperature Scaling. Lei Shang, Mouxiao Huang, Wu Shi, Yuchen Liu, Yang Liu, Wang Steven, Baigui Sun, Xuansong Xie, Yu Qiao |
| 2023 | Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis. Subhankar Ghosh, Taha Belkhouja, Yan Yan, Janardhan Rao Doppa |
| 2023 | Improving the Cross-Lingual Generalisation in Visual Question Answering. Farhad Nooralahzadeh, Rico Sennrich |
| 2023 | In-Game Toxic Language Detection: Shared Task and Attention Residuals (Student Abstract). Yuanzhe Jia, Weixuan Wu, Feiqi Cao, Soyeon Caren Han |
| 2023 | InParformer: Evolutionary Decomposition Transformers with Interactive Parallel Attention for Long-Term Time Series Forecasting. Haizhou Cao, Zhenhao Huang, Tiechui Yao, Jue Wang, Hui He, Yangang Wang |
| 2023 | Incentive-Boosted Federated Crowdsourcing. Xiangping Kang, Guoxian Yu, Jun Wang, Wei Guo, Carlotta Domeniconi, Jinglin Zhang |
| 2023 | Incomplete Multi-View Multi-Label Learning via Label-Guided Masked View- and Category-Aware Transformers. Chengliang Liu, Jie Wen, Xiaoling Luo, Yong Xu |
| 2023 | Inconsistent Cores for ASP: The Perks and Perils of Non-monotonicity. Johannes Klaus Fichte, Markus Hecher, Stefan Szeider |
| 2023 | Increasing Impact of Mobile Health Programs: SAHELI for Maternal and Child Care. Shresth Verma, Gargi Singh, Aditya Mate, Paritosh Verma, Sruthi Gorantla, Neha Madhiwalla, Aparna Hegde, Divy Thakkar, Manish Jain, Milind Tambe, Aparna Taneja |
| 2023 | Incremental Density-Based Clustering with Grid Partitioning (Student Abstract). Jeong-Hun Kim, Tserenpurev Chuluunsaikhan, Jong-Hyeok Choi, Aziz Nasridinov |
| 2023 | Incremental Image De-raining via Associative Memory. Yi Gu, Chao Wang, Jie Li |
| 2023 | Incremental Reinforcement Learning with Dual-Adaptive ε-Greedy Exploration. Wei Ding, Siyang Jiang, Hsi-Wen Chen, Ming-Syan Chen |
| 2023 | Incremental-DETR: Incremental Few-Shot Object Detection via Self-Supervised Learning. Na Dong, Yongqiang Zhang, Mingli Ding, Gim Hee Lee |
| 2023 | IndicSUPERB: A Speech Processing Universal Performance Benchmark for Indian Languages. Tahir Javed, Kaushal Santosh Bhogale, Abhigyan Raman, Pratyush Kumar, Anoop Kunchukuttan, Mitesh M. Khapra |
| 2023 | Industry-Scale Orchestrated Federated Learning for Drug Discovery. Martijn Oldenhof, Gergely Ács, Balázs Pejó, Ansgar Schuffenhauer, Nicholas Holway, Noé Sturm, Arne Dieckmann, Oliver Fortmeier, Eric Boniface, Clément Mayer, Arnaud Gohier, Peter Schmidtke, Ritsuya Niwayama, Dieter Kopecky, Lewis H. Mervin, Prakash Chandra Rathi, Lukas Friedrich, András Formanek, Peter Antal, Jordon Rahaman, Adam Zalewski, Wouter Heyndrickx, Ezron Oluoch, Manuel Stößel, Michal Vanco, David Endico, Fabien Gelus, Thaïs de Boisfossé, Adrien Darbier, Ashley Nicollet, Matthieu Blottière, Maria Telenczuk, Van Tien Nguyen, Thibaud Martinez, Camille Boillet, Kelvin Moutet, Alexandre Picosson, Aurélien Gasser, Inal Djafar, Antoine Simon, Adam Arany, Jaak Simm, Yves Moreau, Ola Engkvist, Hugo Ceulemans, Camille Marini, Mathieu Galtier |
| 2023 | Inferential Knowledge-Enhanced Integrated Reasoning for Video Question Answering. Jianguo Mao, Wenbin Jiang, Hong Liu, Xiangdong Wang, Yajuan Lyu |
| 2023 | Inferring Patient Zero on Temporal Networks via Graph Neural Networks. Xiaolei Ru, Jack Murdoch Moore, Xinya Zhang, Yeting Zeng, Gang Yan |
| 2023 | InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling. Xiaobao Wu, Xinshuai Dong, Thong Nguyen, Chaoqun Liu, Liangming Pan, Anh Tuan Luu |
| 2023 | Information Transfer in Multitask Learning, Data Augmentation, and Beyond. Hongyang R. Zhang |
| 2023 | Information-Theoretic Causal Discovery and Intervention Detection over Multiple Environments. Osman Mian, Michael Kamp, Jilles Vreeken |
| 2023 | Infusing Definiteness into Randomness: Rethinking Composition Styles for Deep Image Matting. Zixuan Ye, Yutong Dai, Chaoyi Hong, Zhiguo Cao, Hao Lu |
| 2023 | Instance Smoothed Contrastive Learning for Unsupervised Sentence Embedding. Hongliang He, Junlei Zhang, Zhenzhong Lan, Yue Zhang |
| 2023 | InstanceFormer: An Online Video Instance Segmentation Framework. Rajat Koner, Tanveer Hannan, Suprosanna Shit, Sahand Sharifzadeh, Matthias Schubert, Thomas Seidl, Volker Tresp |
| 2023 | Integer Subspace Differential Privacy. Prathamesh Dharangutte, Jie Gao, Ruobin Gong, Fang-Yi Yu |
| 2023 | Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection. Peter Henderson, Ben Chugg, Brandon R. Anderson, Kristen M. Altenburger, Alex Turk, John Guyton, Jacob Goldin, Daniel E. Ho |
| 2023 | Intelligent Planning for Large-Scale Multi-Robot Coordination. Jiaoyang Li |
| 2023 | Intensity-Aware Loss for Dynamic Facial Expression Recognition in the Wild. Hanting Li, Hongjing Niu, Zhaoqing Zhu, Feng Zhao |
| 2023 | Inter-image Contrastive Consistency for Multi-Person Pose Estimation. Xixia Xu, Yingguo Gao, Xingjia Pan, Ke Yan, Xiaoyu Chen, Qi Zou |
| 2023 | Interactive Concept Bottleneck Models. Kushal Chauhan, Rishabh Tiwari, Jan Freyberg, Pradeep Shenoy, Krishnamurthy Dvijotham |
| 2023 | Internal Robust Representations for Domain Generalization. Mohammad Rostami |
| 2023 | Interpolating Graph Pair to Regularize Graph Classification. Hongyu Guo, Yongyi Mao |
| 2023 | Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling in Drug Discovery. Yunchao Liu, Yu Wang, Oanh Vu, Rocco Moretti, Bobby Bodenheimer, Jens Meiler, Tyler Derr |
| 2023 | Interpreting Unfairness in Graph Neural Networks via Training Node Attribution. Yushun Dong, Song Wang, Jing Ma, Ninghao Liu, Jundong Li |
| 2023 | Intersection Coordination with Priority-Based Search for Autonomous Vehicles. Jiaoyang Li, The Anh Hoang, Eugene Lin, Hai L. Vu, Sven Koenig |
| 2023 | Interventional SHAP Values and Interaction Values for Piecewise Linear Regression Trees. Artjom Zern, Klaus Broelemann, Gjergji Kasneci |
| 2023 | Intriguing Findings of Frequency Selection for Image Deblurring. Xintian Mao, Yiming Liu, Fengze Liu, Qingli Li, Wei Shen, Yan Wang |
| 2023 | Intuitive Access to Smartphone Settings Using Relevance Model Trained by Contrastive Learning. Joonyoung Kim, Kangwook Lee, Haebin Shin, Hurnjoo Lee, Sechun Kang, Byunguk Choi, Dong Shin, Joohyung Lee |
| 2023 | Invariant Representations with Stochastically Quantized Neural Networks. Mattia Cerrato, Marius Köppel, Roberto Esposito, Stefan Kramer |
| 2023 | Inverse-Reference Priors for Fisher Regularization of Bayesian Neural Networks. Keunseo Kim, Eun-Yeol Ma, Jeongman Choi, Heeyoung Kim |
| 2023 | Invertible Conditional GAN Revisited: Photo-to-Manga Face Translation with Modern Architectures (Student Abstract). Taro Hatakeyama, Ryusuke Saito, Komei Hiruta, Atsushi Hashimoto, Satoshi Kurihara |
| 2023 | Ising-Traffic: Using Ising Machine Learning to Predict Traffic Congestion under Uncertainty. Zhenyu Pan, Anshujit Sharma, Jerry Yao-Chieh Hu, Zhuo Liu, Ang Li, Han Liu, Michael C. Huang, Tong Geng |
| 2023 | Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference. Yabin Wang, Zhiheng Ma, Zhiwu Huang, Yaowei Wang, Zhou Su, Xiaopeng Hong |
| 2023 | Isometric Manifold Learning Using Hierarchical Flow. Ziqi Pan, Jianfu Zhang, Li Niu, Liqing Zhang |
| 2023 | IterDE: An Iterative Knowledge Distillation Framework for Knowledge Graph Embeddings. Jiajun Liu, Peng Wang, Ziyu Shang, Chenxiao Wu |
| 2023 | Iteratively Enhanced Semidefinite Relaxations for Efficient Neural Network Verification. Jianglin Lan, Yang Zheng, Alessio Lomuscio |
| 2023 | JR2Net: Joint Monocular 3D Face Reconstruction and Reenactment. Jiaxiang Shang, Yu Zeng, Xin Qiao, Xin Wang, Runze Zhang, Guangyuan Sun, Vishal Patel, Hongbo Fu |
| 2023 | Joint Multimodal Entity-Relation Extraction Based on Edge-Enhanced Graph Alignment Network and Word-Pair Relation Tagging. Li Yuan, Yi Cai, Jin Wang, Qing Li |
| 2023 | Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering. Duy M. H. Nguyen, Hoang Nguyen, Truong Thanh Nhat Mai, Tri Cao, Binh T. Nguyen, Nhat Ho, Paul Swoboda, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag |
| 2023 | Jointly Imputing Multi-View Data with Optimal Transport. Yangyang Wu, Xiaoye Miao, Xinyu Huang, Jianwei Yin |
| 2023 | Just Noticeable Visual Redundancy Forecasting: A Deep Multimodal-Driven Approach. Wuyuan Xie, Shukang Wang, Sukun Tian, Lirong Huang, Ye Liu, Miaohui Wang |
| 2023 | KICE: A Knowledge Consolidation and Expansion Framework for Relation Extraction. Yilin Lu, Xiaoqiang Wang, HaoFeng Yang, Siliang Tang |
| 2023 | KPT: Keyword-Guided Pre-training for Grounded Dialog Generation. Qi Zhu, Fei Mi, Zheng Zhang, Yasheng Wang, Yitong Li, Xin Jiang, Qun Liu, Xiaoyan Zhu, Minlie Huang |
| 2023 | KT-Net: Knowledge Transfer for Unpaired 3D Shape Completion. Zhen Cao, Wenxiao Zhang, Xin Wen, Zhen Dong, Yu-Shen Liu, Xiongwu Xiao, Bisheng Yang |
| 2023 | Kajibuntan: A House Chore Division App. Ayumi Igarashi, Tomohiko Yokoyama |
| 2023 | Kalman Bayesian Neural Networks for Closed-Form Online Learning. Philipp Wagner, Xinyang Wu, Marco F. Huber |
| 2023 | KerPrint: Local-Global Knowledge Graph Enhanced Diagnosis Prediction for Retrospective and Prospective Interpretations. Kai Yang, Yongxin Xu, Peinie Zou, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie |
| 2023 | Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection. Jaeyoung Kim, Seo Taek Kong, Dongbin Na, Kyu-Hwan Jung |
| 2023 | Know Your Enemy: Identifying Adversarial Behaviours in Deep Reinforcement Learning Agents (Student Abstract). Seán Caulfield Curley, Karl Mason, Patrick Mannion |
| 2023 | KnowGL: Knowledge Generation and Linking from Text. Gaetano Rossiello, Md. Faisal Mahbub Chowdhury, Nandana Mihindukulasooriya, Owen Cornec, Alfio Massimiliano Gliozzo |
| 2023 | Knowledge Amalgamation for Multi-Label Classification via Label Dependency Transfer. Jidapa Thadajarassiri, Thomas Hartvigsen, Walter Gerych, Xiangnan Kong, Elke A. Rundensteiner |
| 2023 | Knowledge Graph Embedding by Normalizing Flows. Changyi Xiao, Xiangnan He, Yixin Cao |
| 2023 | Knowledge-Bridged Causal Interaction Network for Causal Emotion Entailment. Weixiang Zhao, Yanyan Zhao, Zhuojun Li, Bing Qin |
| 2023 | Knowledge-Constrained Answer Generation for Open-Ended Video Question Answering. Yao Jin, Guocheng Niu, Xinyan Xiao, Jian Zhang, Xi Peng, Jun Yu |
| 2023 | Knowledge-Embedded Narrative Construction from Open Source Intelligence. Priyanka Ranade |
| 2023 | LADA-Trans-NER: Adaptive Efficient Transformer for Chinese Named Entity Recognition Using Lexicon-Attention and Data-Augmentation. Jiguo Liu, Chao Liu, Nan Li, Shihao Gao, Mingqi Liu, Dali Zhu |
| 2023 | LANCER: A Lifetime-Aware News Recommender System. Hong-Kyun Bae, JeeWon Ahn, Dongwon Lee, Sang-Wook Kim |
| 2023 | LEAN-DMKDE: Quantum Latent Density Estimation for Anomaly Detection (Student Abstract). Joseph A. Gallego-Mejia, Oscar A. Bustos-Brinez, Fabio A. González |
| 2023 | LIMIP: Lifelong Learning to Solve Mixed Integer Programs. Sahil Manchanda, Sayan Ranu |
| 2023 | LIQUID: A Framework for List Question Answering Dataset Generation. Seongyun Lee, Hyunjae Kim, Jaewoo Kang |
| 2023 | LORE: Logical Location Regression Network for Table Structure Recognition. Hangdi Xing, Feiyu Gao, Rujiao Long, Jiajun Bu, Qi Zheng, Liangcheng Li, Cong Yao, Zhi Yu |
| 2023 | LUCID: Exposing Algorithmic Bias through Inverse Design. Carmen Mazijn, Carina Prunkl, Andres Algaba, Jan Danckaert, Vincent Ginis |
| 2023 | LVRNet: Lightweight Image Restoration for Aerial Images under Low Visibility (Student Abstract). Esha Pahwa, Achleshwar Luthra, Pratik Narang |
| 2023 | LWSIS: LiDAR-Guided Weakly Supervised Instance Segmentation for Autonomous Driving. Xiang Li, Junbo Yin, Botian Shi, Yikang Li, Ruigang Yang, Jianbing Shen |
| 2023 | LaCAM: Search-Based Algorithm for Quick Multi-Agent Pathfinding. Keisuke Okumura |
| 2023 | Label Smoothing for Emotion Detection (Student Abstract). George Maratos, Tiberiu Sosea, Cornelia Caragea |
| 2023 | Label-Specific Feature Augmentation for Long-Tailed Multi-Label Text Classification. Pengyu Xu, Lin Xiao, Bing Liu, Sijin Lu, Liping Jing, Jian Yu |
| 2023 | LagNet: Deep Lagrangian Mechanics for Plug-and-Play Molecular Representation Learning. Chunyan Li, Junfeng Yao, Jinsong Su, Zhaoyang Liu, Xiangxiang Zeng, Chenxi Huang |
| 2023 | Language Model Pre-training on True Negatives. Zhuosheng Zhang, Hai Zhao, Masao Utiyama, Eiichiro Sumita |
| 2023 | Language-Assisted 3D Feature Learning for Semantic Scene Understanding. Junbo Zhang, Guofan Fan, Guanghan Wang, Zhengyuan Su, Kaisheng Ma, Li Yi |
| 2023 | Large-State Reinforcement Learning for Hyper-Heuristics. Lucas Kletzander, Nysret Musliu |
| 2023 | Latent Autoregressive Source Separation. Emilian Postolache, Giorgio Mariani, Michele Mancusi, Andrea Santilli, Luca Cosmo, Emanuele Rodolà |
| 2023 | Latent Constraints on Unsupervised Text-Graph Alignment with Information Asymmetry. Jidong Tian, Wenqing Chen, Yitian Li, Caoyun Fan, Hao He, Yaohui Jin |
| 2023 | Latent Space Evolution under Incremental Learning with Concept Drift (Student Abstract). Charles Bourbeau, Audrey Durand |
| 2023 | Layer-Wise Adaptive Model Aggregation for Scalable Federated Learning. Sunwoo Lee, Tuo Zhang, Amir Salman Avestimehr |
| 2023 | Layout Generation as Intermediate Action Sequence Prediction. Huiting Yang, Danqing Huang, Chin-Yew Lin, Shengfeng He |
| 2023 | Layout Representation Learning with Spatial and Structural Hierarchies. Yue Bai, Dipu Manandhar, Zhaowen Wang, John P. Collomosse, Yun Fu |
| 2023 | Layout-Aware Dreamer for Embodied Visual Referring Expression Grounding. Mingxiao Li, Zehao Wang, Tinne Tuytelaars, Marie-Francine Moens |
| 2023 | LeNo: Adversarial Robust Salient Object Detection Networks with Learnable Noise. He Wang, Lin Wan, He Tang |
| 2023 | Learn More for Food Recognition via Progressive Self-Distillation. Yaohui Zhu, Linhu Liu, Jiang Tian |
| 2023 | Learn from Yesterday: A Semi-supervised Continual Learning Method for Supervision-Limited Text-to-SQL Task Streams. Yongrui Chen, Xinnan Guo, Tongtong Wu, Guilin Qi, Yang Li, Yang Dong |
| 2023 | Learnable Blur Kernel for Single-Image Defocus Deblurring in the Wild. Jucai Zhai, Pengcheng Zeng, Chihao Ma, Jie Chen, Yong Zhao |
| 2023 | Learnable Path in Neural Controlled Differential Equations. Sheo Yon Jhin, Minju Jo, Seungji Kook, Noseong Park |
| 2023 | Learnable Spectral Wavelets on Dynamic Graphs to Capture Global Interactions. Anson Bastos, Abhishek Nadgeri, Kuldeep Singh, Toyotaro Suzumura, Manish Singh |
| 2023 | Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domain. Yujun Huang, Bin Chen, Shiyu Qin, Jiawei Li, Yaowei Wang, Tao Dai, Shu-Tao Xia |
| 2023 | Learning Adaptive Game Soundtrack Control. Aaron Dorsey, Todd W. Neller, Hien G. Tran, Veysel Yilmaz |
| 2023 | Learning Adversarially Robust Sparse Networks via Weight Reparameterization. Chenhao Li, Qiang Qiu, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng |
| 2023 | Learning Affects Trust: Design Recommendations and Concepts for Teaching Children - and Nearly Anyone - about Conversational Agents. Jessica Van Brummelen, Mingyan Claire Tian, Maura Kelleher, Nghi Hoang Nguyen |
| 2023 | Learning Better Representations Using Auxiliary Knowledge. Saed Rezayi |
| 2023 | Learning Chemical Rules of Retrosynthesis with Pre-training. Yinjie Jiang, Ying Wei, Fei Wu, Zhengxing Huang, Kun Kuang, Zhihua Wang |
| 2023 | Learning Compact Features via In-Training Representation Alignment. Xin Li, Xiangrui Li, Deng Pan, Yao Qiang, Dongxiao Zhu |
| 2023 | Learning Compositional Tasks from Language Instructions. Lajanugen Logeswaran, Wilka Carvalho, Honglak Lee |
| 2023 | Learning Conflict-Noticed Architecture for Multi-Task Learning. Zhixiong Yue, Yu Zhang, Jie Liang |
| 2023 | Learning Context-Aware Classifier for Semantic Segmentation. Zhuotao Tian, Jiequan Cui, Li Jiang, Xiaojuan Qi, Xin Lai, Yixin Chen, Shu Liu, Jiaya Jia |
| 2023 | Learning Continuous Depth Representation via Geometric Spatial Aggregator. Xiaohang Wang, Xuanhong Chen, Bingbing Ni, Zhengyan Tong, Hang Wang |
| 2023 | Learning Control Policies for Stochastic Systems with Reach-Avoid Guarantees. Dorde Zikelic, Mathias Lechner, Thomas A. Henzinger, Krishnendu Chatterjee |
| 2023 | Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling. Yuchen Fang, Kan Ren, Caihua Shan, Yifei Shen, You Li, Weinan Zhang, Yong Yu, Dongsheng Li |
| 2023 | Learning Deep Hierarchical Features with Spatial Regularization for One-Class Facial Expression Recognition. Bingjun Luo, Junjie Zhu, Tianyu Yang, Sicheng Zhao, Chao Hu, Xibin Zhao, Yue Gao |
| 2023 | Learning Dynamic Latent Spaces for Lifelong Generative Modelling. Fei Ye, Adrian G. Bors |
| 2023 | Learning Dynamic Temporal Relations with Continuous Graph for Multivariate Time Series Forecasting (Student Abstract). Zhiyuan Wang, Fan Zhou, Goce Trajcevski, Kunpeng Zhang, Ting Zhong |
| 2023 | Learning Event-Relevant Factors for Video Anomaly Detection. Che Sun, Chenrui Shi, Yunde Jia, Yuwei Wu |
| 2023 | Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient. Wubing Chen, Wenbin Li, Xiao Liu, Shangdong Yang, Yang Gao |
| 2023 | Learning Fractals by Gradient Descent. Cheng-Hao Tu, Hong-You Chen, David Carlyn, Wei-Lun Chao |
| 2023 | Learning Generalizable Batch Active Learning Strategies via Deep Q-networks (Student Abstract). Yi-Chen Li, Wen-Jie Shen, Boyu Zhang, Feng Mao, Zongzhang Zhang, Yang Yu |
| 2023 | Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation. Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Minqing Zhu, Yuxuan Liu, Bo Li, Furui Liu, Zhihua Wang, Fei Wu |
| 2023 | Learning Interpretable Temporal Properties from Positive Examples Only. Rajarshi Roy, Jean-Raphaël Gaglione, Nasim Baharisangari, Daniel Neider, Zhe Xu, Ufuk Topcu |
| 2023 | Learning Logic Programs by Discovering Where Not to Search. Andrew Cropper, Céline Hocquette |
| 2023 | Learning Logical Reasoning Using an Intelligent Tutoring System: A Hybrid Approach to Student Modeling. Roger Nkambou, Janie Brisson, Ange Tato, Serge Robert |
| 2023 | Learning Markov Random Fields for Combinatorial Structures via Sampling through Lovász Local Lemma. Nan Jiang, Yi Gu, Yexiang Xue |
| 2023 | Learning Motion-Robust Remote Photoplethysmography through Arbitrary Resolution Videos. Jianwei Li, Zitong Yu, Jingang Shi |
| 2023 | Learning Noise-Induced Reward Functions for Surpassing Demonstrations in Imitation Learning. Liangyu Huo, Zulin Wang, Mai Xu |
| 2023 | Learning Optimal Features via Partial Invariance. Moulik Choraria, Ibtihal Ferwana, Ankur Mani, Lav R. Varshney |
| 2023 | Learning Pessimism for Reinforcement Learning. Edoardo Cetin, Oya Çeliktutan |
| 2023 | Learning Polysemantic Spoof Trace: A Multi-Modal Disentanglement Network for Face Anti-spoofing. Kaicheng Li, Hongyu Yang, Binghui Chen, Pengyu Li, Biao Wang, Di Huang |
| 2023 | Learning Program Synthesis for Integer Sequences from Scratch. Thibault Gauthier, Josef Urban |
| 2023 | Learning Progressive Modality-Shared Transformers for Effective Visible-Infrared Person Re-identification. Hu Lu, Xuezhang Zou, Pingping Zhang |
| 2023 | Learning Rational Subgoals from Demonstrations and Instructions. Zhezheng Luo, Jiayuan Mao, Jiajun Wu, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling |
| 2023 | Learning Relational Causal Models with Cycles through Relational Acyclification. Ragib Ahsan, David Arbour, Elena Zheleva |
| 2023 | Learning Representations of Bi-level Knowledge Graphs for Reasoning beyond Link Prediction. Chanyoung Chung, Joyce Jiyoung Whang |
| 2023 | Learning Revenue Maximization Using Posted Prices for Stochastic Strategic Patient Buyers. Eitan-Hai Mashiah, Idan Attias, Yishay Mansour |
| 2023 | Learning Safe Numeric Action Models. Argaman Mordoch, Brendan Juba, Roni Stern |
| 2023 | Learning Second-Order Attentive Context for Efficient Correspondence Pruning. Xinyi Ye, Weiyue Zhao, Hao Lu, Zhiguo Cao |
| 2023 | Learning Semantic Alignment with Global Modality Reconstruction for Video-Language Pre-training towards Retrieval. Mingchao Li, Xiaoming Shi, Haitao Leng, Wei Zhou, Hai-Tao Zheng, Kuncai Zhang |
| 2023 | Learning Semantic Degradation-Aware Guidance for Recognition-Driven Unsupervised Low-Light Image Enhancement. Naishan Zheng, Jie Huang, Man Zhou, Zizheng Yang, Qi Zhu, Feng Zhao |
| 2023 | Learning Similarity Metrics for Volumetric Simulations with Multiscale CNNs. Georg Kohl, Li-Wei Chen, Nils Thuerey |
| 2023 | Learning Single Image Defocus Deblurring with Misaligned Training Pairs. Yu Li, Dongwei Ren, Xinya Shu, Wangmeng Zuo |
| 2023 | Learning Temporal-Ordered Representation for Spike Streams Based on Discrete Wavelet Transforms. Jiyuan Zhang, Shanshan Jia, Zhaofei Yu, Tiejun Huang |
| 2023 | Learning Topology-Specific Experts for Molecular Property Prediction. Suyeon Kim, Dongha Lee, SeongKu Kang, Seonghyeon Lee, Hwanjo Yu |
| 2023 | Learning a Generalized Gaze Estimator from Gaze-Consistent Feature. Mingjie Xu, Haofei Wang, Feng Lu |
| 2023 | Learning and Planning under Uncertainty for Conservation Decisions. Lily Xu |
| 2023 | Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning. Jiayu Liu, Zhenya Huang, ChengXiang Zhai, Qi Liu |
| 2023 | Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning. Qi Tian, Kun Kuang, Furui Liu, Baoxiang Wang |
| 2023 | Learning from Training Dynamics: Identifying Mislabeled Data beyond Manually Designed Features. Qingrui Jia, Xuhong Li, Lei Yu, Jiang Bian, Penghao Zhao, Shupeng Li, Haoyi Xiong, Dejing Dou |
| 2023 | Learning from the Wisdom of Crowds: Exploiting Similar Sessions for Session Search. Yuhang Ye, Zhonghua Li, Zhicheng Dou, Yutao Zhu, Changwang Zhang, Shangquan Wu, Zhao Cao |
| 2023 | Learning the Finer Things: Bayesian Structure Learning at the Instantiation Level. Chase Yakaboski, Eugene Santos Jr. |
| 2023 | Learning to Break Symmetries for Efficient Optimization in Answer Set Programming. Alice Tarzariol, Martin Gebser, Konstantin Schekotihin, Mark Law |
| 2023 | Learning to Count Isomorphisms with Graph Neural Networks. Xingtong Yu, Zemin Liu, Yuan Fang, Xinming Zhang |
| 2023 | Learning to Defer with Limited Expert Predictions. Patrick Hemmer, Lukas Thede, Michael Vössing, Johannes Jakubik, Niklas Kühl |
| 2023 | Learning to Generate an Unbiased Scene Graph by Using Attribute-Guided Predicate Features. Lei Wang, Zejian Yuan, Badong Chen |
| 2023 | Learning to Imagine: Distillation-Based Interactive Context Exploitation for Dialogue State Tracking. Jinyu Guo, Kai Shuang, Kaihang Zhang, Yixuan Liu, Jijie Li, Zihan Wang |
| 2023 | Learning to Know Myself: A Coarse-to-Fine Persona-Aware Training Framework for Personalized Dialogue Generation. Yunpeng Li, Yue Hu, Yajing Sun, Luxi Xing, Ping Guo, Yuqiang Xie, Wei Peng |
| 2023 | Learning to Learn Better for Video Object Segmentation. Meng Lan, Jing Zhang, Lefei Zhang, Dacheng Tao |
| 2023 | Learning to Memorize Entailment and Discourse Relations for Persona-Consistent Dialogues. Ruijun Chen, Jin Wang, Liang-Chih Yu, Xuejie Zhang |
| 2023 | Learning to Play General-Sum Games against Multiple Boundedly Rational Agents. Eric Zhao, Alexander R. Trott, Caiming Xiong, Stephan Zheng |
| 2023 | Learning to See the Physical World. Jiajun Wu |
| 2023 | Learning to Select Pivotal Samples for Meta Re-weighting. Yinjun Wu, Adam Stein, Jacob R. Gardner, Mayur Naik |
| 2023 | Learning to Select Prototypical Parts for Interpretable Sequential Data Modeling. Yifei Zhang, Neng Gao, Cunqing Ma |
| 2023 | Learning to Select from Multiple Options. Jiangshu Du, Wenpeng Yin, Congying Xia, Philip S. Yu |
| 2023 | Learning to Shape Rewards Using a Game of Two Partners. David Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez Nieves, Wenbin Song, Feifei Tong, Matthew E. Taylor, Tianpei Yang, Zipeng Dai, Hui Chen, Jiangcheng Zhu, Kun Shao, Jun Wang, Yaodong Yang |
| 2023 | Learning to Super-resolve Dynamic Scenes for Neuromorphic Spike Camera. Jing Zhao, Ruiqin Xiong, Jian Zhang, Rui Zhao, Hangfan Liu, Tiejun Huang |
| 2023 | Learning towards Selective Data Augmentation for Dialogue Generation. Xiuying Chen, Mingzhe Li, Jiayi Zhang, Xiaoqiang Xia, Chen Wei, Jianwei Cui, Xin Gao, Xiangliang Zhang, Rui Yan |
| 2023 | Learning with Partial Labels from Semi-supervised Perspective. Ximing Li, Yuanzhi Jiang, Changchun Li, Yiyuan Wang, Jihong Ouyang |
| 2023 | Learning-Assisted Algorithm Unrolling for Online Optimization with Budget Constraints. Jianyi Yang, Shaolei Ren |
| 2023 | Learning-Augmented Algorithms for Online TSP on the Line. Themistoklis Gouleakis, Konstantinos Lakis, Golnoosh Shahkarami |
| 2023 | Less Is More Important: An Attention Module Guided by Probability Density Function for Convolutional Neural Networks. Jingfen Xie, Jian Zhang |
| 2023 | Less Is More: Volatility Forecasting with Contrastive Representation Learning (Student Abstract). Yanlong Huang, Wenxin Tai, Ting Zhong, Kunpeng Zhang |
| 2023 | Let Graph Be the Go Board: Gradient-Free Node Injection Attack for Graph Neural Networks via Reinforcement Learning. Mingxuan Ju, Yujie Fan, Chuxu Zhang, Yanfang Ye |
| 2023 | Let the Data Choose: Flexible and Diverse Anchor Graph Fusion for Scalable Multi-View Clustering. Pei Zhang, Siwei Wang, Liang Li, Changwang Zhang, Xinwang Liu, En Zhu, Zhe Liu, Lu Zhou, Lei Luo |
| 2023 | Leveraging Contaminated Datasets to Learn Clean-Data Distribution with Purified Generative Adversarial Networks. Bowen Tian, Qinliang Su, Jianxing Yu |
| 2023 | Leveraging Modality-Specific Representations for Audio-Visual Speech Recognition via Reinforcement Learning. Chen Chen, Yuchen Hu, Qiang Zhang, Heqing Zou, Beier Zhu, Eng Siong Chng |
| 2023 | Leveraging Old Knowledge to Continually Learn New Classes in Medical Images. Evelyn Chee, Mong-Li Lee, Wynne Hsu |
| 2023 | Leveraging Structure for Improved Classification of Grouped Biased Data. Daniel Zeiberg, Shantanu Jain, Predrag Radivojac |
| 2023 | Leveraging Sub-class Discimination for Compositional Zero-Shot Learning. Xiaoming Hu, Zilei Wang |
| 2023 | Leveraging Weighted Cross-Graph Attention for Visual and Semantic Enhanced Video Captioning Network. Deepali Verma, Arya Haldar, Tanima Dutta |
| 2023 | LidarMultiNet: Towards a Unified Multi-Task Network for LiDAR Perception. Dongqiangzi Ye, Zixiang Zhou, Weijia Chen, Yufei Xie, Yu Wang, Panqu Wang, Hassan Foroosh |
| 2023 | Lifelong Compression Mixture Model via Knowledge Relationship Graph. Fei Ye, Adrian G. Bors |
| 2023 | Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs. Yuanning Cui, Yuxin Wang, Zequn Sun, Wenqiang Liu, Yiqiao Jiang, Kexin Han, Wei Hu |
| 2023 | Lifelong Person Re-identification via Knowledge Refreshing and Consolidation. Chunlin Yu, Ye Shi, Zimo Liu, Shenghua Gao, Jingya Wang |
| 2023 | Lifelong Variational Autoencoder via Online Adversarial Expansion Strategy. Fei Ye, Adrian G. Bors |
| 2023 | Lifted Inference with Linear Order Axiom. Jan Tóth, Ondrej Kuzelka |
| 2023 | Lifting (D)QBF Preprocessing and Solving Techniques to (D)SSAT. Che Cheng, Jie-Hong R. Jiang |
| 2023 | Lightweight Transformer for Multi-Modal Object Detection (Student Abstract). Yue Cao, Yanshuo Fan, Junchi Bin, Zheng Liu |
| 2023 | Linear Regularizers Enforce the Strict Saddle Property. Matthew Ubl, Matthew Hale, Kasra Yazdani |
| 2023 | Linking People across Text and Images Based on Social Relation Reasoning. Yang Lei, Peizhi Zhao, Pijian Li, Yi Cai, Qingbao Huang |
| 2023 | Linking Sketch Patches by Learning Synonymous Proximity for Graphic Sketch Representation. Sicong Zang, Shikui Tu, Lei Xu |
| 2023 | Literacy and STEM Teachers Adapt AI Ethics Curriculum. Benjamin Walsh, Bridget Dalton, Stacey Forsyth, Tom Yeh |
| 2023 | LoNe Sampler: Graph Node Embeddings by Coordinated Local Neighborhood Sampling. Konstantin Kutzkov |
| 2023 | Loan Fraud Users Detection in Online Lending Leveraging Multiple Data Views. Sha Zhao, Yongrui Huang, Ling Chen, Chunping Wang, Shijian Li, Lei Chen, Gang Pan |
| 2023 | Local Explanations for Reinforcement Learning. Ronny Luss, Amit Dhurandhar, Miao Liu |
| 2023 | Local Intrinsic Dimensional Entropy. Rohan Ghosh, Mehul Motani |
| 2023 | Local Justice and Machine Learning: Modeling and Inferring Dynamic Ethical Preferences toward Allocations. Violet Xinying Chen, Joshua Williams, Derek Leben, Hoda Heidari |
| 2023 | Local Path Integration for Attribution. Peiyu Yang, Naveed Akhtar, Zeyi Wen, Ajmal Mian |
| 2023 | Local-Global Defense against Unsupervised Adversarial Attacks on Graphs. Di Jin, Bingdao Feng, Siqi Guo, Xiaobao Wang, Jianguo Wei, Zhen Wang |
| 2023 | Locate Then Generate: Bridging Vision and Language with Bounding Box for Scene-Text VQA. Yongxin Zhu, Zhen Liu, Yukang Liang, Xin Li, Hao Liu, Changcun Bao, Linli Xu |
| 2023 | Logic Error Localization and Correction with Machine Learning (Student Abstract). Zhenyu Xu, Victor S. Sheng, Keyi Lu |
| 2023 | Logic and Commonsense-Guided Temporal Knowledge Graph Completion. Guanglin Niu, Bo Li |
| 2023 | Logical Satisfiability of Counterfactuals for Faithful Explanations in NLI. Suzanna Sia, Anton Belyy, Amjad Almahairi, Madian Khabsa, Luke Zettlemoyer, Lambert Mathias |
| 2023 | Long Legal Article Question Answering via Cascaded Key Segment Learning (Student Abstract). Shugui Xie, Lin Li, Jingling Yuan, Qing Xie, Xiaohui Tao |
| 2023 | Long-Tail Cross Modal Hashing. Zijun Gao, Jun Wang, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi, Jinglin Zhang |
| 2023 | Losses over Labels: Weakly Supervised Learning via Direct Loss Construction. Dylan Sam, J. Zico Kolter |
| 2023 | Lottery Pools: Winning More by Interpolating Tickets without Increasing Training or Inference Cost. Lu Yin, Shiwei Liu, Meng Fang, Tianjin Huang, Vlado Menkovski, Mykola Pechenizkiy |
| 2023 | Low Emission Building Control with Zero-Shot Reinforcement Learning. Scott R. Jeen, Alessandro Abate, Jonathan M. Cullen |
| 2023 | Low Resource Quantitative Information Extraction via Structure Searching and Prefix-Based Text Generation. Tongliang Li, Zixiang Wang, Zhoujun Li |
| 2023 | Low-Light Image Enhancement Network Based on Multi-Scale Feature Complementation. Yong Yang, Wenzhi Xu, Shuying Huang, Weiguo Wan |
| 2023 | Low-Light Video Enhancement with Synthetic Event Guidance. Lin Liu, Junfeng An, Jianzhuang Liu, Shanxin Yuan, Xiangyu Chen, Wengang Zhou, Houqiang Li, Yanfeng Wang, Qi Tian |
| 2023 | Low-Resource Personal Attribute Prediction from Conversations. Yinan Liu, Hu Chen, Wei Shen, Jiaoyan Chen |
| 2023 | M-sense: Modeling Narrative Structure in Short Personal Narratives Using Protagonist's Mental Representations. Prashanth Vijayaraghavan, Deb Roy |
| 2023 | M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities. Hong Liu, Dong Wei, Donghuan Lu, Jinghan Sun, Liansheng Wang, Yefeng Zheng |
| 2023 | MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning. Xumeng Gong, Cheng Yang, Chuan Shi |
| 2023 | MAGIC: Mask-Guided Image Synthesis by Inverting a Quasi-robust Classifier. Mozhdeh Rouhsedaghat, Masoud Monajatipoor, C.-C. Jay Kuo, Iacopo Masi |
| 2023 | MAPS-KB: A Million-Scale Probabilistic Simile Knowledge Base. Qianyu He, Xintao Wang, Jiaqing Liang, Yanghua Xiao |
| 2023 | MARCOL: A Maritime Collision Avoidance Decision-Making Testbed. Mingi Jeong, Alberto Quattrini Li |
| 2023 | MCL: Multi-Granularity Contrastive Learning Framework for Chinese NER. Shan Zhao, Chengyu Wang, Minghao Hu, Tianwei Yan, Meng Wang |
| 2023 | MDM: Molecular Diffusion Model for 3D Molecule Generation. Lei Huang, Hengtong Zhang, Tingyang Xu, Ka-Chun Wong |
| 2023 | MEID: Mixture-of-Experts with Internal Distillation for Long-Tailed Video Recognition. Xinjie Li, Huijuan Xu |
| 2023 | MGFN: Magnitude-Contrastive Glance-and-Focus Network for Weakly-Supervised Video Anomaly Detection. Yingxian Chen, Zhengzhe Liu, Baoheng Zhang, Wilton W. T. Fok, Xiaojuan Qi, Yik-Chung Wu |
| 2023 | MGIA: Mutual Gradient Inversion Attack in Multi-Modal Federated Learning (Student Abstract). Xuan Liu, Siqi Cai, Lin Li, Rui Zhang, Song Guo |
| 2023 | MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object Detection. Junho Koh, Junhyung Lee, Youngwoo Lee, Jaekyum Kim, Jun Won Choi |
| 2023 | MGTCF: Multi-Generator Tropical Cyclone Forecasting with Heterogeneous Meteorological Data. Cheng Huang, Cong Bai, Sixian Chan, Jinglin Zhang, Yuquan Wu |
| 2023 | MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series. Qianwen Meng, Hangwei Qian, Yong Liu, Lizhen Cui, Yonghui Xu, Zhiqi Shen |
| 2023 | MIDMs: Matching Interleaved Diffusion Models for Exemplar-Based Image Translation. Junyoung Seo, Gyuseong Lee, Seokju Cho, Jiyoung Lee, Seungryong Kim |
| 2023 | MIGA: A Unified Multi-Task Generation Framework for Conversational Text-to-SQL. Yingwen Fu, Wenjie Ou, Zhou Yu, Yue Lin |
| 2023 | MIMO Is All You Need：A Strong Multi-in-Multi-Out Baseline for Video Prediction. Shuliang Ning, Mengcheng Lan, Yanran Li, Chaofeng Chen, Qian Chen, Xunlai Chen, Xiaoguang Han, Shuguang Cui |
| 2023 | MMTN: Multi-Modal Memory Transformer Network for Image-Report Consistent Medical Report Generation. Yiming Cao, Lizhen Cui, Lei Zhang, Fuqiang Yu, Zhen Li, Yonghui Xu |
| 2023 | MNER-QG: An End-to-End MRC Framework for Multimodal Named Entity Recognition with Query Grounding. Meihuizi Jia, Lei Shen, Xin Shen, Lejian Liao, Meng Chen, Xiaodong He, Zhendong Chen, Jiaqi Li |
| 2023 | MPMQA: Multimodal Question Answering on Product Manuals. Liang Zhang, Anwen Hu, Jing Zhang, Shuo Hu, Qin Jin |
| 2023 | MRCN: A Novel Modality Restitution and Compensation Network for Visible-Infrared Person Re-identification. Yukang Zhang, Yan Yan, Jie Li, Hanzi Wang |
| 2023 | MSDC: Exploiting Multi-State Power Consumption in Non-intrusive Load Monitoring Based on a Dual-CNN Model. Jialing He, Jiamou Liu, Zijian Zhang, Yang Chen, Yiwei Liu, Bakh Khoussainov, Liehuang Zhu |
| 2023 | MTDiag: An Effective Multi-Task Framework for Automatic Diagnosis. Zhenyu Hou, Yukuo Cen, Ziding Liu, Dongxue Wu, Baoyan Wang, Xuanhe Li, Lei Hong, Jie Tang |
| 2023 | MVCINN: Multi-View Diabetic Retinopathy Detection Using a Deep Cross-Interaction Neural Network. Xiaoling Luo, Chengliang Liu, Waikeung Wong, Jie Wen, Xiaopeng Jin, Yong Xu |
| 2023 | Machines of Finite Depth: Towards a Formalization of Neural Networks. Pietro Vertechi, Mattia G. Bergomi |
| 2023 | Maestro: A Gamified Platform for Teaching AI Robustness. Margarita Geleta, Jiacen Xu, Manikanta Loya, Junlin Wang, Sameer Singh, Zhou Li, Sergio Gago Masagué |
| 2023 | Markov Decision Processes with Time-Varying Geometric Discounting. Jiarui Gan, Annika Hennes, Rupak Majumdar, Debmalya Mandal, Goran Radanovic |
| 2023 | Mask-Net: Learning Context Aware Invariant Features Using Adversarial Forgetting (Student Abstract). Hemant Yadav, Rajiv Ratn Shah |
| 2023 | MaskBooster: End-to-End Self-Training for Sparsely Supervised Instance Segmentation. Shida Zheng, Chenshu Chen, Xi Yang, Wenming Tan |
| 2023 | Materialisation-Based Reasoning in DatalogMTL with Bounded Intervals. Przemyslaw Andrzej Walega, Michal Zawidzki, Dingmin Wang, Bernardo Cuenca Grau |
| 2023 | Maximizing Influence Spread through a Dynamic Social Network (Student Abstract). Simon Schierreich |
| 2023 | Maximizing the Probability of Fixation in the Positional Voter Model. Petros Petsinis, Andreas Pavlogiannis, Panagiotis Karras |
| 2023 | Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination. Rui Zhao, Jinming Song, Yufeng Yuan, Haifeng Hu, Yang Gao, Yi Wu, Zhongqian Sun, Wei Yang |
| 2023 | McOmet: Multimodal Fusion Transformer for Physical Audiovisual Commonsense Reasoning. Daoming Zong, Shiliang Sun |
| 2023 | Mean Estimation of Truncated Mixtures of Two Gaussians: A Gradient Based Approach. Sai Ganesh Nagarajan, Gerasimos Palaiopanos, Ioannis Panageas, Tushar Vaidya, Samson Yu |
| 2023 | Mean-Shifted Contrastive Loss for Anomaly Detection. Tal Reiss, Yedid Hoshen |
| 2023 | Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract). Huixin Zhan, Kun Zhang, Keyi Lu, Victor S. Sheng |
| 2023 | Med-EASi: Finely Annotated Dataset and Models for Controllable Simplification of Medical Texts. Chandrayee Basu, Rosni Vasu, Michihiro Yasunaga, Qian Yang |
| 2023 | Mediated Cheap Talk Design. Itai Arieli, Ivan Geffner, Moshe Tennenholtz |
| 2023 | Memorization Weights for Instance Reweighting in Adversarial Training. Jianfu Zhang, Yan Hong, Qibin Zhao |
| 2023 | Memory-Aided Contrastive Consensus Learning for Co-salient Object Detection. Peng Zheng, Jie Qin, Shuo Wang, Tian-Zhu Xiang, Huan Xiong |
| 2023 | Memory-Augmented Theory of Mind Network. Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran |
| 2023 | Memory-Oriented Structural Pruning for Efficient Image Restoration. Xiangsheng Shi, Xuefei Ning, Lidong Guo, Tianchen Zhao, Enshu Liu, Yi Cai, Yuhan Dong, Huazhong Yang, Yu Wang |
| 2023 | Meta Learning in Decentralized Neural Networks: Towards More General AI. Yuwei Sun |
| 2023 | Meta-Auxiliary Learning for Adaptive Human Pose Prediction. Qiongjie Cui, Huaijiang Sun, Jianfeng Lu, Bin Li, Weiqing Li |
| 2023 | Meta-Learning for Simple Regret Minimization. Mohammad Javad Azizi, Branislav Kveton, Mohammad Ghavamzadeh, Sumeet Katariya |
| 2023 | Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning. Mingyang Wang, Zhenshan Bing, Xiangtong Yao, Shuai Wang, Kai Huang, Hang Su, Chenguang Yang, Alois Knoll |
| 2023 | Meta-Sketch: A Neural Data Structure for Estimating Item Frequencies of Data Streams. Yukun Cao, Yuan Feng, Xike Xie |
| 2023 | MetaTPTrans: A Meta Learning Approach for Multilingual Code Representation Learning. Weiguo Pian, Hanyu Peng, Xunzhu Tang, Tiezhu Sun, Haoye Tian, Andrew Habib, Jacques Klein, Tegawendé F. Bissyandé |
| 2023 | MetaZSCIL: A Meta-Learning Approach for Generalized Zero-Shot Class Incremental Learning. Yanan Wu, Tengfei Liang, Songhe Feng, Yi Jin, Gengyu Lyu, Haojun Fei, Yang Wang |
| 2023 | Metric Multi-View Graph Clustering. Yuze Tan, Yixi Liu, Hongjie Wu, Jiancheng Lv, Shudong Huang |
| 2023 | Metric Nearness Made Practical. Wenye Li, Fangchen Yu, Zichen Ma |
| 2023 | Metric Residual Network for Sample Efficient Goal-Conditioned Reinforcement Learning. Bo Liu, Yihao Feng, Qiang Liu, Peter Stone |
| 2023 | MicroAST: Towards Super-fast Ultra-Resolution Arbitrary Style Transfer. Zhizhong Wang, Lei Zhao, Zhiwen Zuo, Ailin Li, Haibo Chen, Wei Xing, Dongming Lu |
| 2023 | Min-Max Submodular Ranking for Multiple Agents. Qingyun Chen, Sungjin Im, Benjamin Moseley, Chenyang Xu, Ruilong Zhang |
| 2023 | Mind the Gap: Polishing Pseudo Labels for Accurate Semi-supervised Object Detection. Lei Zhang, Yuxuan Sun, Wei Wei |
| 2023 | Minimax AUC Fairness: Efficient Algorithm with Provable Convergence. Zhenhuan Yang, Yan Lok Ko, Kush R. Varshney, Yiming Ying |
| 2023 | Mining and Applying Composition Knowledge of Dance Moves for Style-Concentrated Dance Generation. Xinjian Zhang, Su Yang, Yi Xu, Weishan Zhang, Longwen Gao |
| 2023 | Minority-Oriented Vicinity Expansion with Attentive Aggregation for Video Long-Tailed Recognition. WonJun Moon, Hyun Seok Seong, Jae-Pil Heo |
| 2023 | Misspecification in Inverse Reinforcement Learning. Joar Skalse, Alessandro Abate |
| 2023 | Mitigating Adversarial Norm Training with Moral Axioms. Taylor Olson, Kenneth D. Forbus |
| 2023 | Mitigating Artifacts in Real-World Video Super-resolution Models. Liangbin Xie, Xintao Wang, Shuwei Shi, Jinjin Gu, Chao Dong, Ying Shan |
| 2023 | Mitigating Negative Style Transfer in Hybrid Dialogue System. Shimin Li, Qinyuan Cheng, Linyang Li, Xipeng Qiu |
| 2023 | Mitigating Negative Transfer in Multi-Task Learning with Exponential Moving Average Loss Weighting Strategies (Student Abstract). Anish Lakkapragada, Essam Sleiman, Saimourya Surabhi, Dennis P. Wall |
| 2023 | MixFairFace: Towards Ultimate Fairness via MixFair Adapter in Face Recognition. Fu-En Wang, Chien-Yi Wang, Min Sun, Shang-Hong Lai |
| 2023 | Mixed-Variable Black-Box Optimisation Using Value Proposal Trees. Yan Zuo, Vu Nguyen, Amir Dezfouli, David Alexander, Benjamin Ward Muir, Iadine Chades |
| 2023 | Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling. Gregory P. Spell, Simiao Ren, Leslie M. Collins, Jordan M. Malof |
| 2023 | Mixture Uniform Distribution Modeling and Asymmetric Mix Distillation for Class Incremental Learning. Sunyuan Qiang, Jiayi Hou, Jun Wan, Yanyan Liang, Zhen Lei, Du Zhang |
| 2023 | MoEC: Mixture of Expert Clusters. Yuan Xie, Shaohan Huang, Tianyu Chen, Furu Wei |
| 2023 | MoMusic: A Motion-Driven Human-AI Collaborative Music Composition and Performing System. Weizhen Bian, Yijin Song, Nianzhen Gu, Tin Yan Chan, Tsz To Lo, Tsun Sun Li, King Chak Wong, Wei Xue, Roberto Alonso Trillo |
| 2023 | MobilePTX: Sparse Coding for Pneumothorax Detection Given Limited Training Examples. Darryl Hannan, Steven C. Nesbit, Ximing Wen, Glen Smith, Qiao Zhang, Alberto Goffi, Vincent Chan, Michael J. Morris, John C. Hunninghake, Nicholas E. Villalobos, Edward Kim, Rosina O. Weber, Christopher J. MacLellan |
| 2023 | MobileTL: On-Device Transfer Learning with Inverted Residual Blocks. Hung-Yueh Chiang, Natalia Frumkin, Feng Liang, Diana Marculescu |
| 2023 | Mobility Prediction via Sequential Trajectory Disentanglement (Student Abstract). Jinyu Hong, Fan Zhou, Qiang Gao, Ping Kuang, Kunpeng Zhang |
| 2023 | Model AI Assignments 2023. Todd W. Neller, Raechel Walker, Olivia Dias, Zeynep Yalçin, Cynthia Breazeal, Matthew E. Taylor, Michele Donini, Erin J. Talvitie, Charlie Pilgrim, Paolo Turrini, James Maher, Matthew Boutell, Justin Wilson, Narges Norouzi, Jonathan Scott |
| 2023 | Model Selection of Graph Signage Models Using Maximum Likelihood (Student Abstract). Angelina Brilliantova, Ivona Bezáková |
| 2023 | Model-Based Offline Reinforcement Learning with Local Misspecification. Kefan Dong, Yannis Flet-Berliac, Allen Nie, Emma Brunskill |
| 2023 | Model-Based Offline Weighted Policy Optimization (Student Abstract). Renzhe Zhou, Zongzhang Zhang, Yang Yu |
| 2023 | Model-Based Reinforcement Learning with Multinomial Logistic Function Approximation. Taehyun Hwang, Min-hwan Oh |
| 2023 | Model-Checking for Ability-Based Logics with Constrained Plans. Stéphane Demri, Raul Fervari |
| 2023 | Modeling Human Trust and Reliance in AI-Assisted Decision Making: A Markovian Approach. Zhuoyan Li, Zhuoran Lu, Ming Yin |
| 2023 | Modeling Metacognitive and Cognitive Processes in Data Science Problem Solving (Student Abstract). Maryam Alomair, Shimei Pan, Lujie Karen Chen |
| 2023 | Modeling Strategies as Programs: How to Study Strategy Differences in Intelligent Systems with Program Synthesis. James Ainooson |
| 2023 | Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning. Zifan Wu, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo |
| 2023 | Molformer: Motif-Based Transformer on 3D Heterogeneous Molecular Graphs. Fang Wu, Dragomir Radev, Stan Z. Li |
| 2023 | Monitoring Arithmetic Temporal Properties on Finite Traces. Paolo Felli, Marco Montali, Fabio Patrizi, Sarah Winkler |
| 2023 | Monitoring Model Deterioration with Explainable Uncertainty Estimation via Non-parametric Bootstrap. Carlos Mougan, Dan Saattrup Nielsen |
| 2023 | Monitoring and Intervening on Large Populations of Weakly Coupled Processes with Social Impact Applications. Andrew Perrault |
| 2023 | Moral Machine or Tyranny of the Majority? Michael Feffer, Hoda Heidari, Zachary C. Lipton |
| 2023 | Moving-Landmark Assisted Distributed Learning Based Decentralized Cooperative Localization (DL-DCL) with Fault Tolerance. Shubhankar Gupta, Suresh Sundaram |
| 2023 | MuMIC - Multimodal Embedding for Multi-Label Image Classification with Tempered Sigmoid. Fengjun Wang, Sarai Mizrachi, Moran Beladev, Guy Nadav, Gil Amsalem, Karen Lastmann Assaraf, Hadas Harush Boker |
| 2023 | MulGT: Multi-Task Graph-Transformer with Task-Aware Knowledge Injection and Domain Knowledge-Driven Pooling for Whole Slide Image Analysis. Weiqin Zhao, Shujun Wang, Maximus C. F. Yeung, Tianye Niu, Lequan Yu |
| 2023 | Multi-Action Dialog Policy Learning from Logged User Feedback. Shuo Zhang, Junzhou Zhao, Pinghui Wang, Tianxiang Wang, Zi Liang, Jing Tao, Yi Huang, Junlan Feng |
| 2023 | Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer. Zhixiang Su, Di Wang, Chunyan Miao, Lizhen Cui |
| 2023 | Multi-Classifier Adversarial Optimization for Active Learning. Lin Geng, Ningzhong Liu, Jie Qin |
| 2023 | Multi-Domain Generalized Graph Meta Learning. Mingkai Lin, Wenzhong Li, Ding Li, Yizhou Chen, Guohao Li, Sanglu Lu |
| 2023 | Multi-Horizon Learning in Procedurally-Generated Environments for Off-Policy Reinforcement Learning (Student Abstract). Raja Farrukh Ali, Kevin Duong, Nasik Muhammad Nafi, William H. Hsu |
| 2023 | Multi-Label Few-Shot ICD Coding as Autoregressive Generation with Prompt. Zhichao Yang, Sunjae Kwon, Zonghai Yao, Hong Yu |
| 2023 | Multi-Level Compositional Reasoning for Interactive Instruction Following. Suvaansh Bhambri, Byeonghwi Kim, Jonghyun Choi |
| 2023 | Multi-Level Confidence Learning for Trustworthy Multimodal Classification. Xiao Zheng, Chang Tang, Zhiguo Wan, Chengyu Hu, Wei Zhang |
| 2023 | Multi-Level Wavelet Mapping Correlation for Statistical Dependence Measurement: Methodology and Performance. Yixin Ren, Hao Zhang, Yewei Xia, Jihong Guan, Shuigeng Zhou |
| 2023 | Multi-Mask Label Mapping for Prompt-Based Learning. Jirui Qi, Richong Zhang, Jaein Kim, Junfan Chen, Wenyi Qin, Yongyi Mao |
| 2023 | Multi-Modal Knowledge Hypergraph for Diverse Image Retrieval. Yawen Zeng, Qin Jin, Tengfei Bao, Wenfeng Li |
| 2023 | Multi-Modal Protein Knowledge Graph Construction and Applications (Student Abstract). Siyuan Cheng, Xiaozhuan Liang, Zhen Bi, Huajun Chen, Ningyu Zhang |
| 2023 | Multi-Modality Deep Network for Extreme Learned Image Compression. Xuhao Jiang, Weimin Tan, Tian Tan, Bo Yan, Liquan Shen |
| 2023 | Multi-Relational Contrastive Learning Graph Neural Network for Drug-Drug Interaction Event Prediction. Zhankun Xiong, Shichao Liu, Feng Huang, Ziyan Wang, Xuan Liu, Zhongfei Zhang, Wen Zhang |
| 2023 | Multi-Resolution Monocular Depth Map Fusion by Self-Supervised Gradient-Based Composition. Yaqiao Dai, Renjiao Yi, Chenyang Zhu, Hongjun He, Kai Xu |
| 2023 | Multi-Scale Control Signal-Aware Transformer for Motion Synthesis without Phase. Lintao Wang, Kun Hu, Lei Bai, Yu Ding, Wanli Ouyang, Zhiyong Wang |
| 2023 | Multi-Source Survival Domain Adaptation. Ammar Shaker, Carolin Lawrence |
| 2023 | Multi-Stage Facility Location Problems with Transient Agents. Xuezhen Wang, Vincent Chau, Hau Chan, Ken C. K. Fong, Minming Li |
| 2023 | Multi-Stream Representation Learning for Pedestrian Trajectory Prediction. Yuxuan Wu, Le Wang, Sanping Zhou, Jinghai Duan, Gang Hua, Wei Tang |
| 2023 | Multi-Unit Auctions for Allocating Chance-Constrained Resources. Anna Gautier, Bruno Lacerda, Nick Hawes, Michael J. Wooldridge |
| 2023 | Multi-View Domain Adaptive Object Detection on Camera Networks. Yan Lu, Zhun Zhong, Yuanchao Shu |
| 2023 | Multi-View MOOC Quality Evaluation via Information-Aware Graph Representation Learning. Lu Jiang, Yibin Wang, Jianan Wang, Pengyang Wang, Minghao Yin |
| 2023 | MultiAct: Long-Term 3D Human Motion Generation from Multiple Action Labels. Taeryung Lee, Gyeongsik Moon, Kyoung Mu Lee |
| 2023 | MultiSpider: Towards Benchmarking Multilingual Text-to-SQL Semantic Parsing. Longxu Dou, Yan Gao, Mingyang Pan, Dingzirui Wang, Wanxiang Che, Dechen Zhan, Jian-Guang Lou |
| 2023 | Multiagent MST Cover: Pleasing All Optimally via a Simple Voting Rule. Bo Li, Xiaowei Wu, Chenyang Xu, Ruilong Zhang |
| 2023 | Multimodal Deep Generative Models for Remote Medical Applications. Catherine Ordun |
| 2023 | Multimodal Propaganda Processing. Vincent Ng, Shengjie Li |
| 2023 | Multiple Robust Learning for Recommendation. Haoxuan Li, Quanyu Dai, Yuru Li, Yan Lyu, Zhenhua Dong, Xiao-Hua Zhou, Peng Wu |
| 2023 | Multiplex Graph Representation Learning via Common and Private Information Mining. Yujie Mo, Zongqian Wu, Yuhuan Chen, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu |
| 2023 | Multispectral Invisible Coating: Laminated Visible-Thermal Physical Attack against Multispectral Object Detectors Using Transparent Low-E Films. Taeheon Kim, Youngjoon Yu, Yong Man Ro |
| 2023 | Multiwinner Voting with Possibly Unavailable Candidates. Markus Brill, Hayrullah Dindar, Jonas Israel, Jérôme Lang, Jannik Peters, Ulrike Schmidt-Kraepelin |
| 2023 | Music-to-Facial Expressions: Emotion-Based Music Visualization for the Hearing Impaired. Yubo Wang, Fengzhou Pan, Danni Liu, Jiaxiong Hu |
| 2023 | Mutual-Enhanced Incongruity Learning Network for Multi-Modal Sarcasm Detection. Yang Qiao, Liqiang Jing, Xuemeng Song, Xiaolin Chen, Lei Zhu, Liqiang Nie |
| 2023 | Mx2M: Masked Cross-Modality Modeling in Domain Adaptation for 3D Semantic Segmentation. Boxiang Zhang, Zunran Wang, Yonggen Ling, Yuanyuan Guan, Shenghao Zhang, Wenhui Li |
| 2023 | NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension. Xin He, Jiangchao Yao, Yuxin Wang, Zhenheng Tang, Ka Chun Cheung, Simon See, Bo Han, Xiaowen Chu |
| 2023 | NCTV: Neural Clamping Toolkit and Visualization for Neural Network Calibration. Lei Hsiung, Yung-Chen Tang, Pin-Yu Chen, Tsung-Yi Ho |
| 2023 | NHITS: Neural Hierarchical Interpolation for Time Series Forecasting. Cristian Challu, Kin G. Olivares, Boris N. Oreshkin, Federico Garza Ramírez, Max Mergenthaler Canseco, Artur Dubrawski |
| 2023 | NL2LTL - a Python Package for Converting Natural Language (NL) Instructions to Linear Temporal Logic (LTL) Formulas. Francesco Fuggitti, Tathagata Chakraborti |
| 2023 | NLIP: Noise-Robust Language-Image Pre-training. Runhui Huang, Yanxin Long, Jianhua Han, Hang Xu, Xiwen Liang, Chunjing Xu, Xiaodan Liang |
| 2023 | NQE: N-ary Query Embedding for Complex Query Answering over Hyper-Relational Knowledge Graphs. Haoran Luo, Haihong E, Yuhao Yang, Gengxian Zhou, Yikai Guo, Tianyu Yao, Zichen Tang, Xueyuan Lin, Kaiyang Wan |
| 2023 | NeAF: Learning Neural Angle Fields for Point Normal Estimation. Shujuan Li, Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Zhizhong Han |
| 2023 | Nearest-Neighbor Sampling Based Conditional Independence Testing. Shuai Li, Ziqi Chen, Hongtu Zhu, Christina Dan Wang, Wang Wen |
| 2023 | Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network. Mehrtash Mehrabi, Walid Masoudimansour, Yingxue Zhang, Jie Chuai, Zhitang Chen, Mark Coates, Jianye Hao, Yanhui Geng |
| 2023 | Neighbor Contrastive Learning on Learnable Graph Augmentation. Xiao Shen, Dewang Sun, Shirui Pan, Xi Zhou, Laurence T. Yang |
| 2023 | Neighborhood-Regularized Self-Training for Learning with Few Labels. Ran Xu, Yue Yu, Hejie Cui, Xuan Kan, Yanqiao Zhu, Joyce C. Ho, Chao Zhang, Carl Yang |
| 2023 | Nested Named Entity Recognition as Building Local Hypergraphs. Yukun Yan, Bingling Cai, Sen Song |
| 2023 | Networked Anti-coordination Games Meet Graphical Dynamical Systems: Equilibria and Convergence. Zirou Qiu, Chen Chen, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti |
| 2023 | Networked Restless Bandits with Positive Externalities. Christine Herlihy, John P. Dickerson |
| 2023 | Neural Architecture Search for Wide Spectrum Adversarial Robustness. Zhi Cheng, Yanxi Li, Minjing Dong, Xiu Su, Shan You, Chang Xu |
| 2023 | Neural Diffeomorphic Non-uniform B-spline Flows. Seongmin Hong, Se Young Chun |
| 2023 | Neural Dynamic Focused Topic Model. Kostadin Cvejoski, Ramsés J. Sánchez, César Ojeda |
| 2023 | Neural Implicit Surface Reconstruction from Noisy Camera Observations (Student Abstract). Sarthak Gupta, Patrik Huber |
| 2023 | Neural Integro-Differential Equations. Emanuele Zappala, Antonio Henrique de Oliveira Fonseca, Andrew Henry Moberly, Michael James Higley, Chadi Abdallah, Jessica A. Cardin, David van Dijk |
| 2023 | Neural Language Model Based Attentive Term Dependence Model for Verbose Query (Student Abstract). Dipannita Podder, Jiaul H. Paik, Pabitra Mitra |
| 2023 | Neural Policy Safety Verification via Predicate Abstraction: CEGAR. Marcel Vinzent, Siddhant Sharma, Jörg Hoffmann |
| 2023 | Neural Representations Reveal Distinct Modes of Class Fitting in Residual Convolutional Networks. Michal Jamroz, Marcin Kurdziel |
| 2023 | Neural Spline Search for Quantile Probabilistic Modeling. Ruoxi Sun, Chun-Liang Li, Sercan Ö. Arik, Michael W. Dusenberry, Chen-Yu Lee, Tomas Pfister |
| 2023 | Neural TSP Solver with Progressive Distillation. Dongxiang Zhang, Ziyang Xiao, Yuan Wang, Mingli Song, Gang Chen |
| 2023 | Neurosymbolic Reasoning and Learning with Restricted Boltzmann Machines. Son N. Tran, Artur S. d'Avila Garcez |
| 2023 | NewsPanda: Media Monitoring for Timely Conservation Action. Sedrick Scott Keh, Zheyuan Ryan Shi, David J. Patterson, Nirmal Bhagabati, Karun Dewan, Areendran Gopala, Pablo Izquierdo, Debojyoti Mallick, Ambika Sharma, Pooja Shrestha, Fei Fang |
| 2023 | Next POI Recommendation with Dynamic Graph and Explicit Dependency. Feiyu Yin, Yong Liu, Zhiqi Shen, Lisi Chen, Shuo Shang, Peng Han |
| 2023 | Noise Based Deepfake Detection via Multi-Head Relative-Interaction. Tianyi Wang, Kam-Pui Chow |
| 2023 | Non-IID Transfer Learning on Graphs. Jun Wu, Jingrui He, Elizabeth A. Ainsworth |
| 2023 | Non-exponential Reward Discounting in Reinforcement Learning. Raja Farrukh Ali |
| 2023 | Non-reversible Parallel Tempering for Deep Posterior Approximation. Wei Deng, Qian Zhang, Qi Feng, Faming Liang, Guang Lin |
| 2023 | Non-stationary Risk-Sensitive Reinforcement Learning: Near-Optimal Dynamic Regret, Adaptive Detection, and Separation Design. Yuhao Ding, Ming Jin, Javad Lavaei |
| 2023 | Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling. Lucas Berry, David Meger |
| 2023 | Not All Neighbors Matter: Point Distribution-Aware Pruning for 3D Point Cloud. Yejin Lee, Donghyun Lee, Junguk Hong, Jae W. Lee, Hongil Yoon |
| 2023 | Novel Intent Detection and Active Learning Based Classification (Student Abstract). Ankan Mullick |
| 2023 | Novel Motion Patterns Matter for Practical Skeleton-Based Action Recognition. Mengyuan Liu, Fanyang Meng, Chen Chen, Songtao Wu |
| 2023 | Novel Ordering-Based Approaches for Causal Structure Learning in the Presence of Unobserved Variables. Ehsan Mokhtarian, Mohammadsadegh Khorasani, Jalal Etesami, Negar Kiyavash |
| 2023 | Now We're Talking: Better Deliberation Groups through Submodular Optimization. Jake Barrett, Kobi Gal, Paul Gölz, Rose M. Hong, Ariel D. Procaccia |
| 2023 | NuWLS: Improving Local Search for (Weighted) Partial MaxSAT by New Weighting Techniques. Yi Chu, Shaowei Cai, Chuan Luo |
| 2023 | ODE-RSSM: Learning Stochastic Recurrent State Space Model from Irregularly Sampled Data. Zhaolin Yuan, Xiaojuan Ban, Zixuan Zhang, Xiaorui Li, Hong-Ning Dai |
| 2023 | OMPQ: Orthogonal Mixed Precision Quantization. Yuexiao Ma, Taisong Jin, Xiawu Zheng, Yan Wang, Huixia Li, Yongjian Wu, Guannan Jiang, Wei Zhang, Rongrong Ji |
| 2023 | OPRADI: Applying Security Game to Fight Drive under the Influence in Real-World. Luzhan Yuan, Wei Wang, Gaowei Zhang, Yi Wang |
| 2023 | OPT-GAN: A Broad-Spectrum Global Optimizer for Black-Box Problems by Learning Distribution. Minfang Lu, Shuai Ning, Shuangrong Liu, Fengyang Sun, Bo Zhang, Bo Yang, Lin Wang |
| 2023 | Occupancy Planes for Single-View RGB-D Human Reconstruction. Xiaoming Zhao, Yuan-Ting Hu, Zhongzheng Ren, Alexander G. Schwing |
| 2023 | OctFormer: Efficient Octree-Based Transformer for Point Cloud Compression with Local Enhancement. Mingyue Cui, Junhua Long, Mingjian Feng, Boyang Li, Kai Huang |
| 2023 | Off-Policy Proximal Policy Optimization. Wenjia Meng, Qian Zheng, Gang Pan, Yilong Yin |
| 2023 | Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching. Lantao Yu, Tianhe Yu, Jiaming Song, Willie Neiswanger, Stefano Ermon |
| 2023 | Offline Quantum Reinforcement Learning in a Conservative Manner. Zhihao Cheng, Kaining Zhang, Li Shen, Dacheng Tao |
| 2023 | On Analyzing the Role of Image for Visual-Enhanced Relation Extraction (Student Abstract). Lei Li, Xiang Chen, Shuofei Qiao, Feiyu Xiong, Huajun Chen, Ningyu Zhang |
| 2023 | On Error and Compression Rates for Prototype Rules. Omer Kerem, Roi Weiss |
| 2023 | On Generalized Degree Fairness in Graph Neural Networks. Zemin Liu, Trung-Kien Nguyen, Yuan Fang |
| 2023 | On Grounded Planning for Embodied Tasks with Language Models. Bill Yuchen Lin, Chengsong Huang, Qian Liu, Wenda Gu, Sam Sommerer, Xiang Ren |
| 2023 | On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation. Thanh Nguyen-Tang, Ming Yin, Sunil Gupta, Svetha Venkatesh, Raman Arora |
| 2023 | On Manipulating Weight Predictions in Signed Weighted Networks. Tomasz Lizurej, Tomasz Michalak, Stefan Dziembowski |
| 2023 | On Solution Functions of Optimization: Universal Approximation and Covering Number Bounds. Ming Jin, Vanshaj Khattar, Harshal Kaushik, Bilgehan Sel, Ruoxi Jia |
| 2023 | On Total-Order HTN Plan Verification with Method Preconditions - An Extension of the CYK Parsing Algorithm. Songtuan Lin, Gregor Behnke, Simona Ondrcková, Roman Barták, Pascal Bercher |
| 2023 | On Undisputed Sets in Abstract Argumentation. Matthias Thimm |
| 2023 | On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval Models. Tong Ye, Shijing Si, Jianzong Wang, Ning Cheng, Zhitao Li, Jing Xiao |
| 2023 | On the Challenges of Using Reinforcement Learning in Precision Drug Dosing: Delay and Prolongedness of Action Effects. Sumana Basu, Marc-André Legault, Adriana Romero-Soriano, Doina Precup |
| 2023 | On the Complexity of PAC Learning in Hilbert Spaces. Sergei Chubanov |
| 2023 | On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization. Shiji Xin, Yifei Wang, Jingtong Su, Yisen Wang |
| 2023 | On the Cost of Demographic Parity in Influence Maximization. Ruben Becker, Gianlorenzo D'Angelo, Sajjad Ghobadi |
| 2023 | On the Effectiveness of Curriculum Learning in Educational Text Scoring. Zijie Zeng, Dragan Gasevic, Guanliang Chen |
| 2023 | On the Effectiveness of Parameter-Efficient Fine-Tuning. Zihao Fu, Haoran Yang, Anthony Man-Cho So, Wai Lam, Lidong Bing, Nigel Collier |
| 2023 | On the Expressive Flexibility of Self-Attention Matrices. Valerii Likhosherstov, Krzysztof Choromanski, Adrian Weller |
| 2023 | On the Sample Complexity of Representation Learning in Multi-Task Bandits with Global and Local Structure. Alessio Russo, Alexandre Proutière |
| 2023 | On the Sample Complexity of Vanilla Model-Based Offline Reinforcement Learning with Dependent Samples. Mustafa O. Karabag, Ufuk Topcu |
| 2023 | On the Stability and Generalization of Triplet Learning. Jun Chen, Hong Chen, Xue Jiang, Bin Gu, Weifu Li, Tieliang Gong, Feng Zheng |
| 2023 | On the Vulnerability of Backdoor Defenses for Federated Learning. Pei Fang, Jinghui Chen |
| 2023 | One Is All: Bridging the Gap between Neural Radiance Fields Architectures with Progressive Volume Distillation. Shuangkang Fang, Weixin Xu, Heng Wang, Yi Yang, Yufeng Wang, Shuchang Zhou |
| 2023 | One-Shot Replay: Boosting Incremental Object Detection via Retrospecting One Object. Dongbao Yang, Yu Zhou, Xiaopeng Hong, Aoting Zhang, Weiping Wang |
| 2023 | One-for-All: Proposal Masked Cross-Class Anomaly Detection. Xincheng Yao, Chongyang Zhang, Ruoqi Li, Jun Sun, Zhenyu Liu |
| 2023 | Online Hyperparameter Optimization for Class-Incremental Learning. Yaoyao Liu, Yingying Li, Bernt Schiele, Qianru Sun |
| 2023 | Online Noisy Continual Relation Learning. Guozheng Li, Peng Wang, Qiqing Luo, Yanhe Liu, Wenjun Ke |
| 2023 | Online Platforms and the Fair Exposure Problem under Homophily. Jakob Schoeffer, Alexander Ritchie, Keziah Naggita, Faidra Monachou, Jessica Finocchiaro, Marc Juarez |
| 2023 | Online Random Feature Forests for Learning in Varying Feature Spaces. Christian Schreckenberger, Yi He, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt |
| 2023 | Online Reinforcement Learning with Uncertain Episode Lengths. Debmalya Mandal, Goran Radanovic, Jiarui Gan, Adish Singla, Rupak Majumdar |
| 2023 | Online Semi-supervised Learning with Mix-Typed Streaming Features. Di Wu, Shengda Zhuo, Yu Wang, Zhong Chen, Yi He |
| 2023 | Online Symbolic Regression with Informative Query. Pengwei Jin, Di Huang, Rui Zhang, Xing Hu, Ziyuan Nan, Zidong Du, Qi Guo, Yunji Chen |
| 2023 | Online Tuning for Offline Decentralized Multi-Agent Reinforcement Learning. Jiechuan Jiang, Zongqing Lu |
| 2023 | Only a Few Classes Confusing: Pixel-Wise Candidate Labels Disambiguation for Foggy Scene Understanding. Liang Liao, Wenyi Chen, Zhen Zhang, Jing Xiao, Yan Yang, Chia-Wen Lin, Shin'ichi Satoh |
| 2023 | Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns for Cross-Domain Adaptation. Kang Xu, Yan Ma, Bingsheng Wei, Wei Li |
| 2023 | Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer. Sunan He, Taian Guo, Tao Dai, Ruizhi Qiao, Xiujun Shu, Bo Ren, Shu-Tao Xia |
| 2023 | OpenMapFlow: A Library for Rapid Map Creation with Machine Learning and Remote Sensing Data. Ivan Zvonkov, Gabriel Tseng, Catherine Nakalembe, Hannah Kerner |
| 2023 | Opinion Optimization in Directed Social Networks. Haoxin Sun, Zhongzhi Zhang |
| 2023 | Opposite Online Learning via Sequentially Integrated Stochastic Gradient Descent Estimators. Wenhai Cui, Xiaoting Ji, Linglong Kong, Xiaodong Yan |
| 2023 | Optimal Decision Diagrams for Classification. Alexandre M. Florio, Pedro Martins, Maximilian Schiffer, Thiago Serra, Thibaut Vidal |
| 2023 | Optimal Execution via Multi-Objective Multi-Armed Bandits (Student Abstract). Francois Buet-Golfouse, Peter Hill |
| 2023 | Optimal Pathfinding on Weighted Grid Maps. Mark Carlson, Sajjad K. Moghadam, Daniel Damir Harabor, Peter J. Stuckey, Morteza Ebrahimi |
| 2023 | Optimal Pricing Schemes for Identical Items with Time-Sensitive Buyers. Zhengyang Liu, Liang Shan, Zihe Wang |
| 2023 | Optimal Sparse Recovery with Decision Stumps. Kiarash Banihashem, Mohammad Hajiaghayi, Max Springer |
| 2023 | Optimal Sparse Regression Trees. Rui Zhang, Rui Xin, Margo I. Seltzer, Cynthia Rudin |
| 2023 | Optimism in Face of a Context: Regret Guarantees for Stochastic Contextual MDP. Orin Levy, Yishay Mansour |
| 2023 | Optimistic Whittle Index Policy: Online Learning for Restless Bandits. Kai Wang, Lily Xu, Aparna Taneja, Milind Tambe |
| 2023 | Optimizing Multiple Simultaneous Objectives for Voting and Facility Location. Yue Han, Christopher Jerrett, Elliot Anshelevich |
| 2023 | Orders Are Unwanted: Dynamic Deep Graph Convolutional Network for Personality Detection. Tao Yang, Jinghao Deng, Xiaojun Quan, Qifan Wang |
| 2023 | Ordinal Programmatic Weak Supervision and Crowdsourcing for Estimating Cognitive States (Student Abstract). Prakruthi Pradeep, Benedikt Boecking, Nicholas Gisolfi, Jacob R. Kintz, Torin K. Clark, Artur Dubrawski |
| 2023 | Out-of-Distribution Detection Is Not All You Need. Joris Guérin, Kevin Delmas, Raul Sena Ferreira, Jérémie Guiochet |
| 2023 | Out-of-Distribution Generalization by Neural-Symbolic Joint Training. Anji Liu, Hongming Xu, Guy Van den Broeck, Yitao Liang |
| 2023 | Overcoming Concept Shift in Domain-Aware Settings through Consolidated Internal Distributions. Mohammad Rostami, Aram Galstyan |
| 2023 | Overcoming Forgetting in Fine-Grained Urban Flow Inference via Adaptive Knowledge Replay. Haoyang Yu, Xovee Xu, Ting Zhong, Fan Zhou |
| 2023 | PAC Learning and Stabilizing Hedonic Games: Towards a Unifying Approach. Simone Fioravanti, Michele Flammini, Bojana Kodric, Giovanna Varricchio |
| 2023 | PARCS: A Deployment-Oriented AI System for Robust Parcel-Level Cropland Segmentation of Satellite Images. Chen Du, Yiwei Wang, Zhicheng Yang, Hang Zhou, Mei Han, Jui-Hsin Lai |
| 2023 | PASS: Patch Automatic Skip Scheme for Efficient Real-Time Video Perception on Edge Devices. Qihua Zhou, Song Guo, Jun Pan, Jiacheng Liang, Zhenda Xu, Jingren Zhou |
| 2023 | PATRON: Perspective-Aware Multitask Model for Referring Expression Grounding Using Embodied Multimodal Cues. Md Mofijul Islam, Alexi Gladstone, Tariq Iqbal |
| 2023 | PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction. Jiawei Jiang, Chengkai Han, Wayne Xin Zhao, Jingyuan Wang |
| 2023 | PDRF: Progressively Deblurring Radiance Field for Fast Scene Reconstruction from Blurry Images. Cheng Peng, Rama Chellappa |
| 2023 | PEN: Prediction-Explanation Network to Forecast Stock Price Movement with Better Explainability. Shuqi Li, Weiheng Liao, Yuhan Chen, Rui Yan |
| 2023 | PGSS: Pitch-Guided Speech Separation. Xiang Li, Yiwen Wang, Yifan Sun, Xihong Wu, Jing Chen |
| 2023 | PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor. Shun Lu, Yu Hu, Peihao Wang, Yan Han, Jianchao Tan, Jixiang Li, Sen Yang, Ji Liu |
| 2023 | PIXEL: Physics-Informed Cell Representations for Fast and Accurate PDE Solvers. Namgyu Kang, Byeonghyeon Lee, Youngjoon Hong, Seok-Bae Yun, Eunbyung Park |
| 2023 | PLMmark: A Secure and Robust Black-Box Watermarking Framework for Pre-trained Language Models. Peixuan Li, Pengzhou Cheng, Fangqi Li, Wei Du, Haodong Zhao, Gongshen Liu |
| 2023 | POEM: Polarization of Embeddings for Domain-Invariant Representations. Sang-Yeong Jo, Sung Whan Yoon |
| 2023 | PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation. Xinting Liao, Weiming Liu, Xiaolin Zheng, Binhui Yao, Chaochao Chen |
| 2023 | PUPS: Point Cloud Unified Panoptic Segmentation. Shihao Su, Jianyun Xu, Huanyu Wang, Zhenwei Miao, Xin Zhan, Dayang Hao, Xi Li |
| 2023 | PUnifiedNER: A Prompting-Based Unified NER System for Diverse Datasets. Jinghui Lu, Rui Zhao, Brian Mac Namee, Fei Tan |
| 2023 | PaRot: Patch-Wise Rotation-Invariant Network via Feature Disentanglement and Pose Restoration. Dingxin Zhang, Jianhui Yu, Chaoyi Zhang, Weidong Cai |
| 2023 | PaTeCon: A Pattern-Based Temporal Constraint Mining Method for Conflict Detection on Knowledge Graphs. Jianhao Chen, Junyang Ren, Wentao Ding, Yuzhong Qu |
| 2023 | Painterly Image Harmonization in Dual Domains. Junyan Cao, Yan Hong, Li Niu |
| 2023 | PanTop: Pandemic Topic Detection and Monitoring System (Student Abstract). Yangxiao Bai, Kaiqun Fu |
| 2023 | Panoramic Video Salient Object Detection with Ambisonic Audio Guidance. Xiang Li, Haoyuan Cao, Shijie Zhao, Junlin Li, Li Zhang, Bhiksha Raj |
| 2023 | ParaFormer: Parallel Attention Transformer for Efficient Feature Matching. Xiaoyong Lu, Yaping Yan, Bin Kang, Songlin Du |
| 2023 | Parallel Index-Based Search Algorithm for Coalition Structure Generation (Student Abstract). Redha Taguelmimt, Samir Aknine, Djamila Boukredera, Narayan Changder |
| 2023 | Parameter-Efficient Model Adaptation for Vision Transformers. Xuehai He, Chunyuan Li, Pengchuan Zhang, Jianwei Yang, Xin Eric Wang |
| 2023 | Parameterized Algorithms for Colored Clustering. Leon Kellerhals, Tomohiro Koana, Pascal Kunz, Rolf Niedermeier |
| 2023 | Parametric Surface Constrained Upsampler Network for Point Cloud. Pingping Cai, Zhenyao Wu, Xinyi Wu, Song Wang |
| 2023 | Partial-Label Regression. Xin Cheng, Deng-Bao Wang, Lei Feng, Min-Ling Zhang, Bo An |
| 2023 | Participatory Budgeting Designs for the Real World. Roy Fairstein, Gerdus Benadè, Kobi Gal |
| 2023 | Partitioning Friends Fairly. Lily Li, Evi Micha, Aleksandar Nikolov, Nisarg Shah |
| 2023 | PatchNAS: Repairing DNNs in Deployment with Patched Network Architecture Search. Yuchu Fang, Wenzhong Li, Yao Zeng, Yang Zheng, Zheng Hu, Sanglu Lu |
| 2023 | PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning. Huandong Wang, Changzheng Gao, Yuchen Wu, Depeng Jin, Lina Yao, Yong Li |
| 2023 | PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers. Xiaoyi Dong, Jianmin Bao, Ting Zhang, Dongdong Chen, Weiming Zhang, Lu Yuan, Dong Chen, Fang Wen, Nenghai Yu, Baining Guo |
| 2023 | Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training. Zhenglun Kong, Haoyu Ma, Geng Yuan, Mengshu Sun, Yanyue Xie, Peiyan Dong, Xin Meng, Xuan Shen, Hao Tang, Minghai Qin, Tianlong Chen, Xiaolong Ma, Xiaohui Xie, Zhangyang Wang, Yanzhi Wang |
| 2023 | People Taking Photos That Faces Never Share: Privacy Protection and Fairness Enhancement from Camera to User. Junjie Zhu, Lin Gu, Xiaoxiao Wu, Zheng Li, Tatsuya Harada, Yingying Zhu |
| 2023 | Perception for General-purpose Robot Manipulation. Karthik Desingh |
| 2023 | Performance Disparities between Accents in Automatic Speech Recognition (Student Abstract). Alex DiChristofano, Henry Shuster, Shefali Chandra, Neal Patwari |
| 2023 | Periodic Multi-Agent Path Planning. Kazumi Kasaura, Ryo Yonetani, Mai Nishimura |
| 2023 | Persistent Homology through Image Segmentation (Student Abstract). Joshua Slater, Thomas Weighill |
| 2023 | Personalized Dialogue Generation with Persona-Adaptive Attention. Qiushi Huang, Yu Zhang, Tom Ko, Xubo Liu, Bo Wu, Wenwu Wang, H. Lilian Tang |
| 2023 | Persuasion Strategies in Advertisements. Yaman Kumar, Rajat Jha, Arunim Gupta, Milan Aggarwal, Aditya Garg, Tushar Malyan, Ayush Bhardwaj, Rajiv Ratn Shah, Balaji Krishnamurthy, Changyou Chen |
| 2023 | Phase-Informed Bayesian Ensemble Models Improve Performance of COVID-19 Forecasts. Aniruddha Adiga, Gursharn Kaur, Lijing Wang, Benjamin Hurt, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Bryan L. Lewis, Madhav V. Marathe |
| 2023 | Photogrammetry and VR for Comparing 2D and Immersive Linguistic Data Collection (Student Abstract). Jacob Rubinstein, Cynthia Matuszek, Don Engel |
| 2023 | Phrase-Level Temporal Relationship Mining for Temporal Sentence Localization. Minghang Zheng, Sizhe Li, Qingchao Chen, Yuxin Peng, Yang Liu |
| 2023 | Physics Guided Neural Networks for Time-Aware Fairness: An Application in Crop Yield Prediction. Erhu He, Yiqun Xie, Licheng Liu, Weiye Chen, Zhenong Jin, Xiaowei Jia |
| 2023 | PiCor: Multi-Task Deep Reinforcement Learning with Policy Correction. Fengshuo Bai, Hongming Zhang, Tianyang Tao, Zhiheng Wu, Yanna Wang, Bo Xu |
| 2023 | Pixel Is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object Detection. Zhenyu Wu, Lin Wang, Wei Wang, Qing Xia, Chenglizhao Chen, Aimin Hao, Shuo Li |
| 2023 | Pixel-Wise Warping for Deep Image Stitching. Hyeokjun Kweon, Hyeonseong Kim, Yoonsu Kang, Youngho Yoon, Wooseong Jeong, Kuk-Jin Yoon |
| 2023 | Planning and Learning for Non-markovian Negative Side Effects Using Finite State Controllers. Aishwarya Srivastava, Sandhya Saisubramanian, Praveen Paruchuri, Akshat Kumar, Shlomo Zilberstein |
| 2023 | Planning and Learning for Reliable Autonomy in the Open World. Sandhya Saisubramanian |
| 2023 | Planning and Learning with Adaptive Lookahead. Aviv Rosenberg, Assaf Hallak, Shie Mannor, Gal Chechik, Gal Dalal |
| 2023 | Planning for Learning Object Properties. Leonardo Lamanna, Luciano Serafini, Mohamadreza Faridghasemnia, Alessandro Saffiotti, Alessandro Saetti, Alfonso Gerevini, Paolo Traverso |
| 2023 | Planning with Hidden Parameter Polynomial MDPs. Clarissa Costen, Marc Rigter, Bruno Lacerda, Nick Hawes |
| 2023 | Point-Teaching: Weakly Semi-supervised Object Detection with Point Annotations. Yongtao Ge, Qiang Zhou, Xinlong Wang, Chunhua Shen, Zhibin Wang, Hao Li |
| 2023 | Point-to-Region Co-learning for Poverty Mapping at High Resolution Using Satellite Imagery. Zhili Li, Yiqun Xie, Xiaowei Jia, Kara Stuart, Caroline Delaire, Sergii Skakun |
| 2023 | PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models against Adversarial Examples. Shengshan Hu, Junwei Zhang, Wei Liu, Junhui Hou, Minghui Li, Leo Yu Zhang, Hai Jin, Lichao Sun |
| 2023 | Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem. Yan Jin, Yuandong Ding, Xuanhao Pan, Kun He, Li Zhao, Tao Qin, Lei Song, Jiang Bian |
| 2023 | Poisoning with Cerberus: Stealthy and Colluded Backdoor Attack against Federated Learning. Xiaoting Lyu, Yufei Han, Wei Wang, Jingkai Liu, Bin Wang, Jiqiang Liu, Xiangliang Zhang |
| 2023 | Poisoning-Based Backdoor Attacks in Computer Vision. Yiming Li |
| 2023 | PolarFormer: Multi-Camera 3D Object Detection with Polar Transformer. Yanqin Jiang, Li Zhang, Zhenwei Miao, Xiatian Zhu, Jin Gao, Weiming Hu, Yu-Gang Jiang |
| 2023 | Polarization-Aware Low-Light Image Enhancement. Chu Zhou, Minggui Teng, Youwei Lyu, Si Li, Chao Xu, Boxin Shi |
| 2023 | Policy-Adaptive Estimator Selection for Off-Policy Evaluation. Takuma Udagawa, Haruka Kiyohara, Yusuke Narita, Yuta Saito, Kei Tateno |
| 2023 | Policy-Based Primal-Dual Methods for Convex Constrained Markov Decision Processes. Donghao Ying, Mengzi Amy Guo, Yuhao Ding, Javad Lavaei, Zuo-Jun Max Shen |
| 2023 | Policy-Independent Behavioral Metric-Based Representation for Deep Reinforcement Learning. Weijian Liao, Zongzhang Zhang, Yang Yu |
| 2023 | Popularizing Fairness: Group Fairness and Individual Welfare. Andrew Estornell, Sanmay Das, Brendan Juba, Yevgeniy Vorobeychik |
| 2023 | Pose-Guided 3D Human Generation in Indoor Scene. Minseok Kim, Changwoo Kang, Jeongin Park, Kyungdon Joo |
| 2023 | Pose-Oriented Transformer with Uncertainty-Guided Refinement for 2D-to-3D Human Pose Estimation. Han Li, Bowen Shi, Wenrui Dai, Hongwei Zheng, Botao Wang, Yu Sun, Min Guo, Chenglin Li, Junni Zou, Hongkai Xiong |
| 2023 | Positional Label for Self-Supervised Vision Transformer. Zhemin Zhang, Xun Gong |
| 2023 | Positive Distribution Pollution: Rethinking Positive Unlabeled Learning from a Unified Perspective. Qianqiao Liang, Mengying Zhu, Yan Wang, Xiuyuan Wang, Wanjia Zhao, Mengyuan Yang, Hua Wei, Bing Han, Xiaolin Zheng |
| 2023 | Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model. Maohao Shen, Yuheng Bu, Prasanna Sattigeri, Soumya Ghosh, Subhro Das, Gregory W. Wornell |
| 2023 | Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning. Souradip Chakraborty, Amrit Singh Bedi, Pratap Tokekar, Alec Koppel, Brian M. Sadler, Furong Huang, Dinesh Manocha |
| 2023 | PowRL: A Reinforcement Learning Framework for Robust Management of Power Networks. Anandsingh Chauhan, Mayank Baranwal, Ansuma Basumatary |
| 2023 | Practical Cross-System Shilling Attacks with Limited Access to Data. Meifang Zeng, Ke Li, Bingchuan Jiang, Liujuan Cao, Hui Li |
| 2023 | Practical Disruption of Image Translation Deepfake Networks. Nataniel Ruiz, Sarah Adel Bargal, Cihang Xie, Stan Sclaroff |
| 2023 | Practical Markov Boundary Learning without Strong Assumptions. Xingyu Wu, Bingbing Jiang, Tianhao Wu, Huanhuan Chen |
| 2023 | Practical Parallel Algorithms for Submodular Maximization Subject to a Knapsack Constraint with Nearly Optimal Adaptivity. Shuang Cui, Kai Han, Jing Tang, He Huang, Xueying Li, Aakas Zhiyuli |
| 2023 | Pre-training with Scientific Text Improves Educational Question Generation (Student Abstract). Hamze Muse, Sahan Bulathwela, Emine Yilmaz |
| 2023 | Predicate Invention for Bilevel Planning. Tom Silver, Rohan Chitnis, Nishanth Kumar, Willie McClinton, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Joshua B. Tenenbaum |
| 2023 | Predict+Optimize for Packing and Covering LPs with Unknown Parameters in Constraints. Xinyi Hu, Jasper C. H. Lee, Jimmy H. M. Lee |
| 2023 | Predicting Perceived Music Emotions with Respect to Instrument Combinations. Viet Dung Nguyen, Quan H. Nguyen, Richard G. Freedman |
| 2023 | Predicting Temporal Sets with Simplified Fully Connected Networks. Le Yu, Zihang Liu, Tongyu Zhu, Leilei Sun, Bowen Du, Weifeng Lv |
| 2023 | Predictive Exit: Prediction of Fine-Grained Early Exits for Computation- and Energy-Efficient Inference. Xiangjie Li, Chenfei Lou, Yuchi Chen, Zhengping Zhu, Yingtao Shen, Yehan Ma, An Zou |
| 2023 | Predictive Multiplicity in Probabilistic Classification. Jamelle Watson-Daniels, David C. Parkes, Berk Ustun |
| 2023 | Preference-Controlled Multi-Objective Reinforcement Learning for Conditional Text Generation. Wenqing Chen, Jidong Tian, Caoyun Fan, Yitian Li, Hao He, Yaohui Jin |
| 2023 | Preserve Context Information for Extract-Generate Long-Input Summarization Framework. Ruifeng Yuan, Zili Wang, Ziqiang Cao, Wenjie Li |
| 2023 | Preserving Structural Consistency in Arbitrary Artist and Artwork Style Transfer. Jingyu Wu, Lefan Hou, Zejian Li, Jun Liao, Li Liu, Lingyun Sun |
| 2023 | PrimeNet: Pre-training for Irregular Multivariate Time Series. Ranak Roy Chowdhury, Jiacheng Li, Xiyuan Zhang, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang |
| 2023 | Principled Data-Driven Decision Support for Cyber-Forensic Investigations. Soodeh Atefi, Sakshyam Panda, Emmanouil Panaousis, Aron Laszka |
| 2023 | Principled and Efficient Motif Finding for Structure Learning of Lifted Graphical Models. Jonathan Feldstein, Dominic Phillips, Efthymia Tsamoura |
| 2023 | Priori Anchor Labels Supervised Scalable Multi-View Bipartite Graph Clustering. Jiali You, Zhenwen Ren, Xiaojian You, Haoran Li, Yuancheng Yao |
| 2023 | Privacy Attacks on Schedule-Driven Data. Stephan A. Fahrenkrog-Petersen, Arik Senderovich, Alexandra Tichauer, Ali Kaan Tutak, J. Christopher Beck, Matthias Weidlich |
| 2023 | Privacy-Preserved Evolutionary Graph Modeling via Gromov-Wasserstein Autoregression. Yue Xiang, Dixin Luo, Hongteng Xu |
| 2023 | Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes. Huixin Zhan, Victor S. Sheng |
| 2023 | ProKD: An Unsupervised Prototypical Knowledge Distillation Network for Zero-Resource Cross-Lingual Named Entity Recognition. Ling Ge, Chunming Hu, Guanghui Ma, Hong Zhang, Jihong Liu |
| 2023 | Probabilistic Generalization of Backdoor Trees with Application to SAT. Alexander A. Semenov, Daniil Chivilikhin, Stepan Kochemazov, Ibragim Dzhiblavi |
| 2023 | Probabilistic Programs as an Action Description Language. Ronen I. Brafman, David Tolpin, Or Wertheim |
| 2023 | Probabilistic Reasoning and Learning for Trustworthy AI. YooJung Choi |
| 2023 | Probabilistic Shape Models of Anatomy Directly from Images. Jadie Adams |
| 2023 | Probabilities Are Not Enough: Formal Controller Synthesis for Stochastic Dynamical Models with Epistemic Uncertainty. Thom Badings, Licio Romao, Alessandro Abate, Nils Jansen |
| 2023 | Probabilities of Potential Outcome Types in Experimental Studies: Identification and Estimation Based on Proxy Covariate Information. Ryusei Shingaki, Manabu Kuroki |
| 2023 | Probability Guided Loss for Long-Tailed Multi-Label Image Classification. Dekun Lin |
| 2023 | Probably Approximate Shapley Fairness with Applications in Machine Learning. Zijian Zhou, Xinyi Xu, Rachael Hwee Ling Sim, Chuan Sheng Foo, Bryan Kian Hsiang Low |
| 2023 | Progress and Limitations of Deep Networks to Recognize Objects in Unusual Poses. Amro Abbas, Stéphane Deny |
| 2023 | Progressive Bayesian Inference for Scribble-Supervised Semantic Segmentation. Chuanwei Zhou, Chunyan Xu, Zhen Cui |
| 2023 | Progressive Deep Multi-View Comprehensive Representation Learning. Cai Xu, Wei Zhao, Jinglong Zhao, Ziyu Guan, Yaming Yang, Long Chen, Xiangyu Song |
| 2023 | Progressive Few-Shot Adaptation of Generative Model with Align-Free Spatial Correlation. Jongbo Moon, Hyunjun Kim, Jae-Pil Heo |
| 2023 | Progressive Multi-View Human Mesh Recovery with Self-Supervision. Xuan Gong, Liangchen Song, Meng Zheng, Benjamin Planche, Terrence Chen, Junsong Yuan, David S. Doermann, Ziyan Wu |
| 2023 | Progressive Neighborhood Aggregation for Semantic Segmentation Refinement. Ting Liu, Yunchao Wei, Yanning Zhang |
| 2023 | Prompt-Augmented Linear Probing: Scaling beyond the Limit of Few-Shot In-Context Learners. Hyunsoo Cho, Hyuhng Joon Kim, Junyeob Kim, Sang-Woo Lee, Sang-goo Lee, Kang Min Yoo, Taeuk Kim |
| 2023 | Prompting Neural Machine Translation with Translation Memories. Abudurexiti Reheman, Tao Zhou, Yingfeng Luo, Di Yang, Tong Xiao, Jingbo Zhu |
| 2023 | Properties of Position Matrices and Their Elections. Niclas Boehmer, Jin-Yi Cai, Piotr Faliszewski, Austen Z. Fan, Lukasz Janeczko, Andrzej Kaczmarczyk, Tomasz Was |
| 2023 | Proportional Decisions in Perpetual Voting. Martin Lackner, Jan Maly |
| 2023 | Proportionality in Approval-Based Participatory Budgeting. Markus Brill, Stefan Forster, Martin Lackner, Jan Maly, Jannik Peters |
| 2023 | Prototypical Fine-Tuning: Towards Robust Performance under Varying Data Sizes. Yiqiao Jin, Xiting Wang, Yaru Hao, Yizhou Sun, Xing Xie |
| 2023 | Prototypical Partial Optimal Transport for Universal Domain Adaptation. Yucheng Yang, Xiang Gu, Jian Sun |
| 2023 | Prototyping Logic-Based AI Services with LogicUS. Víctor Ramos-González, Joaquín Borrego-Díaz, Fernando Sancho-Caparrini |
| 2023 | Provable Detection of Propagating Sampling Bias in Prediction Models. Pavan Ravishankar, Qingyu Mo, Edward McFowland III, Daniel B. Neill |
| 2023 | Provable Pathways: Learning Multiple Tasks over Multiple Paths. Yingcong Li, Samet Oymak |
| 2023 | Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization. Mirco Mutti, Riccardo De Santi, Emanuele Rossi, Juan Felipe Calderón, Michael M. Bronstein, Marcello Restelli |
| 2023 | Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints. Yuhao Ding, Javad Lavaei |
| 2023 | Proximal Stochastic Recursive Momentum Methods for Nonconvex Composite Decentralized Optimization. Gabriel Mancino-Ball, Shengnan Miao, Yangyang Xu, Jie Chen |
| 2023 | ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-Cost Proxies. Yu Shen, Yang Li, Jian Zheng, Wentao Zhang, Peng Yao, Jixiang Li, Sen Yang, Ji Liu, Bin Cui |
| 2023 | Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network. Xiaojian Yuan, Kejiang Chen, Jie Zhang, Weiming Zhang, Nenghai Yu, Yang Zhang |
| 2023 | Purifier: Defending Data Inference Attacks via Transforming Confidence Scores. Ziqi Yang, Lijin Wang, Da Yang, Jie Wan, Ziming Zhao, Ee-Chien Chang, Fan Zhang, Kui Ren |
| 2023 | Q-functionals for Value-Based Continuous Control. Samuel Lobel, Sreehari Rammohan, Bowen He, Shangqun Yu, George Konidaris |
| 2023 | QA Is the New KR: Question-Answer Pairs as Knowledge Bases. William W. Cohen, Wenhu Chen, Michiel de Jong, Nitish Gupta, Alessandro Presta, Pat Verga, John Wieting |
| 2023 | Quality-Aware Self-Training on Differentiable Synthesis of Rare Relational Data. Chongsheng Zhang, Yaxin Hou, Ke Chen, Shuang Cao, Gaojuan Fan, Ji Liu |
| 2023 | Quantify the Political Bias in News Edits: Experiments with Few-Shot Learners (Student Abstract). Preetika Verma, Hansin Ahuja, Kokil Jaidka |
| 2023 | Quantization-Aware Interval Bound Propagation for Training Certifiably Robust Quantized Neural Networks. Mathias Lechner, Dorde Zikelic, Krishnendu Chatterjee, Thomas A. Henzinger, Daniela Rus |
| 2023 | Quantized Feature Distillation for Network Quantization. Ke Zhu, Yin-Yin He, Jianxin Wu |
| 2023 | Quantum Multi-Agent Meta Reinforcement Learning. Won Joon Yun, Jihong Park, Joongheon Kim |
| 2023 | Quantum Multi-Armed Bandits and Stochastic Linear Bandits Enjoy Logarithmic Regrets. Zongqi Wan, Zhijie Zhang, Tongyang Li, Jialin Zhang, Xiaoming Sun |
| 2023 | Quantum-Inspired Representation for Long-Tail Senses of Word Sense Disambiguation. Junwei Zhang, Ruifang He, Fengyu Guo |
| 2023 | Query Your Model with Definitions in FrameNet: An Effective Method for Frame Semantic Role Labeling. Ce Zheng, Yiming Wang, Baobao Chang |
| 2023 | Query-Aware Quantization for Maximum Inner Product Search. Jin Zhang, Defu Lian, Haodi Zhang, Baoyun Wang, Enhong Chen |
| 2023 | Query-Based Hard-Image Retrieval for Object Detection at Test Time. Edward Ayers, Jonathan Sadeghi, John Redford, Romain Mueller, Puneet K. Dokania |
| 2023 | Question Decomposition Tree for Answering Complex Questions over Knowledge Bases. Xiang Huang, Sitao Cheng, Yiheng Shu, Yuheng Bao, Yuzhong Qu |
| 2023 | RADIANT: Radar-Image Association Network for 3D Object Detection. Yunfei Long, Abhinav Kumar, Daniel D. Morris, Xiaoming Liu, Marcos Castro, Punarjay Chakravarty |
| 2023 | RAFaRe: Learning Robust and Accurate Non-parametric 3D Face Reconstruction from Pseudo 2D&3D Pairs. Longwei Guo, Hao Zhu, Yuanxun Lu, Menghua Wu, Xun Cao |
| 2023 | READ: Aggregating Reconstruction Error into Out-of-Distribution Detection. Wenyu Jiang, Yuxin Ge, Hao Cheng, Mingcai Chen, Shuai Feng, Chongjun Wang |
| 2023 | READ: Large-Scale Neural Scene Rendering for Autonomous Driving. Zhuopeng Li, Lu Li, Jianke Zhu |
| 2023 | REMIT: Reinforced Multi-Interest Transfer for Cross-Domain Recommendation. Caiqi Sun, Jiewei Gu, Binbin Hu, Xin Dong, Hai Li, Lei Cheng, Linjian Mo |
| 2023 | RESDSQL: Decoupling Schema Linking and Skeleton Parsing for Text-to-SQL. Haoyang Li, Jing Zhang, Cuiping Li, Hong Chen |
| 2023 | RFC-Net: Learning High Resolution Global Features for Medical Image Segmentation on a Computational Budget (Student Abstract). Sourajit Saha, Shaswati Saha, Md. Osman Gani, Tim Oates, David Chapman |
| 2023 | RGBD1K: A Large-Scale Dataset and Benchmark for RGB-D Object Tracking. Xuefeng Zhu, Tianyang Xu, Zhangyong Tang, Zucheng Wu, Haodong Liu, Xiao Yang, Xiao-Jun Wu, Josef Kittler |
| 2023 | RINK: Reader-Inherited Evidence Reranker for Table-and-Text Open Domain Question Answering. Eunhwan Park, Sung-Min Lee, Daeryong Seo, Seonhoon Kim, Inho Kang, Seung-Hoon Na |
| 2023 | RLEKF: An Optimizer for Deep Potential with Ab Initio Accuracy. Siyu Hu, Wentao Zhang, Qiuchen Sha, Feng Pan, Lin-Wang Wang, Weile Jia, Guangming Tan, Tong Zhao |
| 2023 | RLogist: Fast Observation Strategy on Whole-Slide Images with Deep Reinforcement Learning. Boxuan Zhao, Jun Zhang, Deheng Ye, Jian Cao, Xiao Han, Qiang Fu, Wei Yang |
| 2023 | ROIFormer: Semantic-Aware Region of Interest Transformer for Efficient Self-Supervised Monocular Depth Estimation. Daitao Xing, Jinglin Shen, Chiuman Ho, Anthony Tzes |
| 2023 | RPA: Reasoning Path Augmentation in Iterative Retrieving for Multi-Hop QA. Ziyi Cao, Bingquan Liu, Shaobo Li |
| 2023 | RSPT: Reconstruct Surroundings and Predict Trajectory for Generalizable Active Object Tracking. Fangwei Zhong, Xiao Bi, Yudi Zhang, Wei Zhang, Yizhou Wang |
| 2023 | RWEN-TTS: Relation-Aware Word Encoding Network for Natural Text-to-Speech Synthesis. Shinhyeok Oh, HyeongRae Noh, Yoonseok Hong, Insoo Oh |
| 2023 | Random Walk Conformer: Learning Graph Representation from Long and Short Range. Pei-Kai Yeh, Hsi-Wen Chen, Ming-Syan Chen |
| 2023 | Rank Aggregation Using Scoring Rules. Niclas Boehmer, Robert Bredereck, Dominik Peters |
| 2023 | RankDNN: Learning to Rank for Few-Shot Learning. Qianyu Guo, Haotong Gong, Xujun Wei, Yanwei Fu, Yizhou Yu, Wenqiang Zhang, Weifeng Ge |
| 2023 | Rawlsian Fairness in Online Bipartite Matching: Two-Sided, Group, and Individual. Seyed A. Esmaeili, Sharmila Duppala, Davidson Cheng, Vedant Nanda, Aravind Srinivasan, John P. Dickerson |
| 2023 | ReGANIE: Rectifying GAN Inversion Errors for Accurate Real Image Editing. Bingchuan Li, Tianxiang Ma, Peng Zhang, Miao Hua, Wei Liu, Qian He, Zili Yi |
| 2023 | RePreM: Representation Pre-training with Masked Model for Reinforcement Learning. Yuanying Cai, Chuheng Zhang, Wei Shen, Xuyun Zhang, Wenjie Ruan, Longbo Huang |
| 2023 | Reachability Analysis of Neural Network Control Systems. Chi Zhang, Wenjie Ruan, Peipei Xu |
| 2023 | Reachability Games Modulo Theories with a Bounded Safety Player. Marco Faella, Gennaro Parlato |
| 2023 | Reactive Synthesis of Dominant Strategies. Benjamin Aminof, Giuseppe De Giacomo, Sasha Rubin |
| 2023 | Real or Fake Text?: Investigating Human Ability to Detect Boundaries between Human-Written and Machine-Generated Text. Liam Dugan, Daphne Ippolito, Arun Kirubarajan, Sherry Shi, Chris Callison-Burch |
| 2023 | Real-Time Detection of Robotic Traffic in Online Advertising. Anand Muralidhar, Sharad Chitlangia, Rajat Agarwal, Muneeb Ahmed |
| 2023 | Real-World Deep Local Motion Deblurring. Haoying Li, Ziran Zhang, Tingting Jiang, Peng Luo, Huajun Feng, Zhihai Xu |
| 2023 | Recent Developments in Data-Driven Algorithms for Discrete Optimization. Elias B. Khalil |
| 2023 | Reconsidering Deception in Social Robotics: The Role of Human Vulnerability (Student Abstract). Rachele Carli, Amro Najjar |
| 2023 | Reconstructing an Epidemic Outbreak Using Steiner Connectivity. Ritwick Mishra, Jack Heavey, Gursharn Kaur, Abhijin Adiga, Anil Vullikanti |
| 2023 | Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach. Sergio Machado, Anirudh Sridhar, Paulo Gil, Jorge Henriques, José M. F. Moura, Augusto Santos |
| 2023 | Recurrent Structure Attention Guidance for Depth Super-resolution. Jiayi Yuan, Haobo Jiang, Xiang Li, Jianjun Qian, Jun Li, Jian Yang |
| 2023 | Redactor: A Data-Centric and Individualized Defense against Inference Attacks. Geon Heo, Steven Euijong Whang |
| 2023 | Reducing ANN-SNN Conversion Error through Residual Membrane Potential. Zecheng Hao, Tong Bu, Jianhao Ding, Tiejun Huang, Zhaofei Yu |
| 2023 | Reducing Domain Gap in Frequency and Spatial Domain for Cross-Modality Domain Adaptation on Medical Image Segmentation. Shaolei Liu, Siqi Yin, Linhao Qu, Manning Wang |
| 2023 | Reducing Sentiment Bias in Pre-trained Sentiment Classification via Adaptive Gumbel Attack. Jiachen Tian, Shizhan Chen, Xiaowang Zhang, Xin Wang, Zhiyong Feng |
| 2023 | Referring Expression Comprehension Using Language Adaptive Inference. Wei Su, Peihan Miao, Huanzhang Dou, Yongjian Fu, Xi Li |
| 2023 | Refined Semantic Enhancement towards Frequency Diffusion for Video Captioning. Xian Zhong, Zipeng Li, Shuqin Chen, Kui Jiang, Chen Chen, Mang Ye |
| 2023 | Rehabilitating Homeless: Dataset and Key Insights. Anna Bykova, Nikolay Filippov, Ivan P. Yamshchikov |
| 2023 | Reinforced Approximate Exploratory Data Analysis. Shaddy Garg, Subrata Mitra, Tong Yu, Yash Gadhia, Arjun Kashettiwar |
| 2023 | Reinforcement Causal Structure Learning on Order Graph. Dezhi Yang, Guoxian Yu, Jun Wang, Zhengtian Wu, Maozu Guo |
| 2023 | Reinforcement Learning for Branch-and-Bound Optimisation Using Retrospective Trajectories. Christopher W. F. Parsonson, Alexandre Laterre, Thomas D. Barrett |
| 2023 | Reject Decoding via Language-Vision Models for Text-to-Image Synthesis. Fuxiang Wu, Liu Liu, Fusheng Hao, Fengxiang He, Lei Wang, Jun Cheng |
| 2023 | Relation-Aware Language-Graph Transformer for Question Answering. Jinyoung Park, Hyeong Kyu Choi, Juyeon Ko, Hyeon-Jin Park, Ji-Hoon Kim, Jisu Jeong, Kyung-Min Kim, Hyunwoo J. Kim |
| 2023 | Relational Program Synthesis with Numerical Reasoning. Céline Hocquette, Andrew Cropper |
| 2023 | Reliable Robustness Evaluation via Automatically Constructed Attack Ensembles. Shengcai Liu, Fu Peng, Ke Tang |
| 2023 | RenewNAT: Renewing Potential Translation for Non-autoregressive Transformer. Pei Guo, Yisheng Xiao, Juntao Li, Min Zhang |
| 2023 | Repair Is Nearly Generation: Multilingual Program Repair with LLMs. Harshit Joshi, José Pablo Cambronero Sánchez, Sumit Gulwani, Vu Le, Gust Verbruggen, Ivan Radicek |
| 2023 | Rephrasing the Reference for Non-autoregressive Machine Translation. Chenze Shao, Jinchao Zhang, Jie Zhou, Yang Feng |
| 2023 | Representation Learning by Detecting Incorrect Location Embeddings. Sepehr Sameni, Simon Jenni, Paolo Favaro |
| 2023 | Representation with Incomplete Votes. Daniel Halpern, Gregory Kehne, Ariel D. Procaccia, Jamie Tucker-Foltz, Manuel Wüthrich |
| 2023 | Reshaping State-Space Search: From Dominance to Contrastive Analysis. Álvaro Torralba |
| 2023 | Resilient Binary Neural Network. Sheng Xu, Yanjing Li, Teli Ma, Mingbao Lin, Hao Dong, Baochang Zhang, Peng Gao, Jinhu Lu |
| 2023 | Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning. Bingchen Huang, Zhineng Chen, Peng Zhou, Jiayin Chen, Zuxuan Wu |
| 2023 | Resource Sharing through Multi-Round Matchings. Yohai Trabelsi, Abhijin Adiga, Sarit Kraus, S. S. Ravi, Daniel J. Rosenkrantz |
| 2023 | Responsible Robotics: A Socio-Ethical Addition to Robotics Courses. Joshua Vekhter, Joydeep Biswas |
| 2023 | Restructuring Graph for Higher Homophily via Adaptive Spectral Clustering. Shouheng Li, Dongwoo Kim, Qing Wang |
| 2023 | Rethinking Alignment and Uniformity in Unsupervised Image Semantic Segmentation. Daoan Zhang, Chenming Li, Haoquan Li, Wenjian Huang, Lingyun Huang, Jianguo Zhang |
| 2023 | Rethinking Data Augmentation for Single-Source Domain Generalization in Medical Image Segmentation. Zixian Su, Kai Yao, Xi Yang, Kaizhu Huang, Qiufeng Wang, Jie Sun |
| 2023 | Rethinking Data-Free Quantization as a Zero-Sum Game. Biao Qian, Yang Wang, Richang Hong, Meng Wang |
| 2023 | Rethinking Disparity: A Depth Range Free Multi-View Stereo Based on Disparity. Qingsong Yan, Qiang Wang, Kaiyong Zhao, Bo Li, Xiaowen Chu, Fei Deng |
| 2023 | Rethinking Interpretation: Input-Agnostic Saliency Mapping of Deep Visual Classifiers. Naveed Akhtar, Mohammad Amir Asim Khan Jalwana |
| 2023 | Rethinking Label Refurbishment: Model Robustness under Label Noise. Yangdi Lu, Zhiwei Xu, Wenbo He |
| 2023 | Rethinking Rotation Invariance with Point Cloud Registration. Jianhui Yu, Chaoyi Zhang, Weidong Cai |
| 2023 | Rethinking Safe Control in the Presence of Self-Seeking Humans. Zixuan Zhang, Maitham Al-Sunni, Haoming Jing, Hirokazu Shirado, Yorie Nakahira |
| 2023 | Retrosynthesis Prediction with Local Template Retrieval. Shufang Xie, Rui Yan, Junliang Guo, Yingce Xia, Lijun Wu, Tao Qin |
| 2023 | Reviewing Labels: Label Graph Network with Top-k Prediction Set for Relation Extraction. Bo Li, Wei Ye, Jinglei Zhang, Shikun Zhang |
| 2023 | Revisiting Classifier: Transferring Vision-Language Models for Video Recognition. Wenhao Wu, Zhun Sun, Wanli Ouyang |
| 2023 | Revisiting Denoising Diffusion Probabilistic Models for Speech Enhancement: Condition Collapse, Efficiency and Refinement. Wenxin Tai, Fan Zhou, Goce Trajcevski, Ting Zhong |
| 2023 | Revisiting Item Promotion in GNN-Based Collaborative Filtering: A Masked Targeted Topological Attack Perspective. Yongwei Wang, Yong Liu, Zhiqi Shen |
| 2023 | Revisiting Unsupervised Local Descriptor Learning. Wufan Wang, Lei Zhang, Hua Huang |
| 2023 | Revisiting the Importance of Amplifying Bias for Debiasing. Jungsoo Lee, Jeonghoon Park, Daeyoung Kim, Juyoung Lee, Edward Choi, Jaegul Choo |
| 2023 | Revisiting the Spatial and Temporal Modeling for Few-Shot Action Recognition. Jiazheng Xing, Mengmeng Wang, Yong Liu, Boyu Mu |
| 2023 | Reward Design for an Online Reinforcement Learning Algorithm Supporting Oral Self-Care. Anna L. Trella, Kelly W. Zhang, Inbal Nahum-Shani, Vivek Shetty, Finale Doshi-Velez, Susan A. Murphy |
| 2023 | Reward Poisoning Attacks on Offline Multi-Agent Reinforcement Learning. Young Wu, Jeremy McMahan, Xiaojin Zhu, Qiaomin Xie |
| 2023 | Reward-Based Negotiating Agent Strategies. Ryota Higa, Katsuhide Fujita, Toki Takahashi, Takumu Shimizu, Shinji Nakadai |
| 2023 | Reward-Biased Maximum Likelihood Estimation for Neural Contextual Bandits: A Distributional Learning Perspective. Yu-Heng Hung, Ping-Chun Hsieh |
| 2023 | Rich Event Modeling for Script Event Prediction. Long Bai, Saiping Guan, Zixuan Li, Jiafeng Guo, Xiaolong Jin, Xueqi Cheng |
| 2023 | Riemannian Local Mechanism for SPD Neural Networks. Ziheng Chen, Tianyang Xu, Xiao-Jun Wu, Rui Wang, Zhiwu Huang, Josef Kittler |
| 2023 | Ripple: Concept-Based Interpretation for Raw Time Series Models in Education. Mohammad Asadi, Vinitra Swamy, Jibril Frej, Julien Tuan Tu Vignoud, Mirko Marras, Tanja Käser |
| 2023 | Risk-Aware Decentralized Safe Control via Dynamic Responsibility Allocation (Student Abstract). Yiwei Lyu, Wenhao Luo, John M. Dolan |
| 2023 | Robust Average-Reward Markov Decision Processes. Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou |
| 2023 | Robust Causal Graph Representation Learning against Confounding Effects. Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Bing Xu, Changwen Zheng, Fuchun Sun |
| 2023 | Robust Domain Adaptation for Machine Reading Comprehension. Liang Jiang, Zhenyu Huang, Jia Liu, Zujie Wen, Xi Peng |
| 2023 | Robust Feature Rectification of Pretrained Vision Models for Object Recognition. Shengchao Zhou, Gaofeng Meng, Zhaoxiang Zhang, Richard Yi Da Xu, Shiming Xiang |
| 2023 | Robust Graph Meta-Learning via Manifold Calibration with Proxy Subgraphs. Zhenzhong Wang, Lulu Cao, Wanyu Lin, Min Jiang, Kay Chen Tan |
| 2023 | Robust Image Denoising of No-Flash Images Guided by Consistent Flash Images. Geunwoo Oh, Jonghee Back, Jae-Pil Heo, Bochang Moon |
| 2023 | Robust Image Steganography: Hiding Messages in Frequency Coefficients. Yuhang Lan, Fei Shang, Jianhua Yang, Xiangui Kang, Enping Li |
| 2023 | Robust Multi-Agent Coordination via Evolutionary Generation of Auxiliary Adversarial Attackers. Lei Yuan, Ziqian Zhang, Ke Xue, Hao Yin, Feng Chen, Cong Guan, Lihe Li, Chao Qian, Yang Yu |
| 2023 | Robust Neuro-Symbolic Goal and Plan Recognition. Leonardo Amado, Ramon Fraga Pereira, Felipe Meneguzzi |
| 2023 | Robust One-Shot Segmentation of Brain Tissues via Image-Aligned Style Transformation. Jinxin Lv, Xiaoyu Zeng, Sheng Wang, Ran Duan, Zhiwei Wang, Qiang Li |
| 2023 | Robust Planning over Restless Groups: Engagement Interventions for a Large-Scale Maternal Telehealth Program. Jackson A. Killian, Arpita Biswas, Lily Xu, Shresth Verma, Vineet Nair, Aparna Taneja, Aparna Hegde, Neha Madhiwalla, Paula Rodriguez Diaz, Sonja Johnson-Yu, Milind Tambe |
| 2023 | Robust Representation Learning by Clustering with Bisimulation Metrics for Visual Reinforcement Learning with Distractions. Qiyuan Liu, Qi Zhou, Rui Yang, Jie Wang |
| 2023 | Robust Self-Supervised Multi-Instance Learning with Structure Awareness. Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Meixia Wang |
| 2023 | Robust Sequence Networked Submodular Maximization. Qihao Shi, Bingyang Fu, Can Wang, Jiawei Chen, Sheng Zhou, Yan Feng, Chun Chen |
| 2023 | Robust Temporal Smoothness in Multi-Task Learning. Menghui Zhou, Yu Zhang, Yun Yang, Tong Liu, Po Yang |
| 2023 | Robust Training for AC-OPF (Student Abstract). Fuat Can Beylunioglu, Mehrdad Pirnia, P. Robert Duimering, Vijay Ganesh |
| 2023 | Robust Training of Neural Networks against Bias Field Perturbations. Patrick Henriksen, Alessio Lomuscio |
| 2023 | Robust Video Portrait Reenactment via Personalized Representation Quantization. Kaisiyuan Wang, Changcheng Liang, Hang Zhou, Jiaxiang Tang, Qianyi Wu, Dongliang He, Zhibin Hong, Jingtuo Liu, Errui Ding, Ziwei Liu, Jingdong Wang |
| 2023 | Robust and Adaptive Deep Learning via Bayesian Principles. Yingzhen Li |
| 2023 | Robust and Fast Measure of Information via Low-Rank Representation. Yuxin Dong, Tieliang Gong, Shujian Yu, Hong Chen, Chen Li |
| 2023 | Robust-MSA: Understanding the Impact of Modality Noise on Multimodal Sentiment Analysis. Huisheng Mao, Baozheng Zhang, Hua Xu, Ziqi Yuan, Yihe Liu |
| 2023 | Robust-by-Design Classification via Unitary-Gradient Neural Networks. Fabio Brau, Giulio Rossolini, Alessandro Biondi, Giorgio C. Buttazzo |
| 2023 | RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments. Sijie Wang, Qiyu Kang, Rui She, Wee Peng Tay, Andreas Hartmannsgruber, Diego Navarro Navarro |
| 2023 | Robustness to Spurious Correlations Improves Semantic Out-of-Distribution Detection. Lily H. Zhang, Rajesh Ranganath |
| 2023 | Rolling Horizon Based Temporal Decomposition for the Offline Pickup and Delivery Problem with Time Windows. Youngseo Kim, Danushka Edirimanna, Michael Wilbur, Philip Pugliese, Aron Laszka, Abhishek Dubey, Samitha Samaranayake |
| 2023 | Rule Induction in Knowledge Graphs Using Linear Programming. Sanjeeb Dash, Joao Goncalves |
| 2023 | Runtime Analysis for the NSGA-II: Provable Speed-Ups from Crossover. Benjamin Doerr, Zhongdi Qu |
| 2023 | SAH: Shifting-Aware Asymmetric Hashing for Reverse k Maximum Inner Product Search. Qiang Huang, Yanhao Wang, Anthony K. H. Tung |
| 2023 | SARAS-Net: Scale and Relation Aware Siamese Network for Change Detection. Chao-Peng Chen, Jun-Wei Hsieh, Ping-Yang Chen, Yi-Kuan Hsieh, Bor-Shiun Wang |
| 2023 | SCI: A Spectrum Concentrated Implicit Neural Compression for Biomedical Data. Runzhao Yang, Tingxiong Xiao, Yuxiao Cheng, Qianni Cao, Jinyuan Qu, Jinli Suo, Qionghai Dai |
| 2023 | SEAT: Stable and Explainable Attention. Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang |
| 2023 | SEFormer: Structure Embedding Transformer for 3D Object Detection. Xiaoyu Feng, Heming Du, Hehe Fan, Yueqi Duan, Yongpan Liu |
| 2023 | SEPT: Towards Scalable and Efficient Visual Pre-training. Yiqi Lin, Huabin Zheng, Huaping Zhong, Jinjing Zhu, Weijia Li, Conghui He, Lin Wang |
| 2023 | SEnsor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation. Yucheng Wang, Yuecong Xu, Jianfei Yang, Zhenghua Chen, Min Wu, Xiaoli Li, Lihua Xie |
| 2023 | SHUNIT: Style Harmonization for Unpaired Image-to-Image Translation. Seokbeom Song, Suhyeon Lee, Hongje Seong, Kyoungwon Min, Euntai Kim |
| 2023 | SKDBERT: Compressing BERT via Stochastic Knowledge Distillation. Zixiang Ding, Guoqing Jiang, Shuai Zhang, Lin Guo, Wei Lin |
| 2023 | SKIER: A Symbolic Knowledge Integrated Model for Conversational Emotion Recognition. Wei Li, Luyao Zhu, Rui Mao, Erik Cambria |
| 2023 | SLIQ: Quantum Image Similarity Networks on Noisy Quantum Computers. Daniel Silver, Tirthak Patel, Aditya Ranjan, Harshitta Gandhi, William Cutler, Devesh Tiwari |
| 2023 | SLOTH: Structured Learning and Task-Based Optimization for Time Series Forecasting on Hierarchies. Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, Shiyu Wang, James Zhang, Xinxin Zhu, Xuanwei Hu, Yunhua Hu, Yangfei Zheng, Lei Lei, Hu Yun |
| 2023 | SMT Safety Verification of Ontology-Based Processes. Diego Calvanese, Alessandro Gianola, Andrea Mazzullo, Marco Montali |
| 2023 | SOREO: A System for Safe and Autonomous Drones Fleet Navigation with Reinforcement Learning. Réda Alami, Hakim Hacid, Lorenzo Bellone, Michal Barcis, Enrico Natalizio |
| 2023 | SPRING: Situated Conversation Agent Pretrained with Multimodal Questions from Incremental Layout Graph. Yuxing Long, Binyuan Hui, Fulong Ye, Yanyang Li, Zhuoxin Han, Caixia Yuan, Yongbin Li, Xiaojie Wang |
| 2023 | SR-AnoGAN: You Never Detect Alone. Super Resolution in Anomaly Detection (Student Abstract). Minjong Cheon |
| 2023 | SRoUDA: Meta Self-Training for Robust Unsupervised Domain Adaptation. Wanqing Zhu, Jia-Li Yin, Bo-Hao Chen, Ximeng Liu |
| 2023 | SSDA3D: Semi-supervised Domain Adaptation for 3D Object Detection from Point Cloud. Yan Wang, Junbo Yin, Wei Li, Pascal Frossard, Ruigang Yang, Jianbing Shen |
| 2023 | SSMI: Semantic Similarity and Mutual Information Maximization Based Enhancement for Chinese NER. Pengnian Qi, Biao Qin |
| 2023 | SSPAttack: A Simple and Sweet Paradigm for Black-Box Hard-Label Textual Adversarial Attack. Han Liu, Zhi Xu, Xiaotong Zhang, Xiaoming Xu, Feng Zhang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang |
| 2023 | STAGE: Span Tagging and Greedy Inference Scheme for Aspect Sentiment Triplet Extraction. Shuo Liang, Wei Wei, Xian-Ling Mao, Yuanyuan Fu, Rui Fang, Dangyang Chen |
| 2023 | STARS: Spatial-Temporal Active Re-sampling for Label-Efficient Learning from Noisy Annotations. Dayou Yu, Weishi Shi, Qi Yu |
| 2023 | STL-Based Synthesis of Feedback Controllers Using Reinforcement Learning. Nikhil Kumar Singh, Indranil Saha |
| 2023 | STOA-VLP: Spatial-Temporal Modeling of Object and Action for Video-Language Pre-training. Weihong Zhong, Mao Zheng, Duyu Tang, Xuan Luo, Heng Gong, Xiaocheng Feng, Bing Qin |
| 2023 | SVFI: Spiking-Based Video Frame Interpolation for High-Speed Motion. Lujie Xia, Jing Zhao, Ruiqin Xiong, Tiejun Huang |
| 2023 | SVP-T: A Shape-Level Variable-Position Transformer for Multivariate Time Series Classification. Rundong Zuo, GuoZhong Li, Byron Choi, Sourav S. Bhowmick, Daphne Ngar-yin Mah, Grace Lai-Hung Wong |
| 2023 | SWBNet: A Stable White Balance Network for sRGB Images. Chunxiao Li, Xuejing Kang, Zhifeng Zhang, Anlong Ming |
| 2023 | SWL-Adapt: An Unsupervised Domain Adaptation Model with Sample Weight Learning for Cross-User Wearable Human Activity Recognition. Rong Hu, Ling Chen, Shenghuan Miao, Xing Tang |
| 2023 | Safe Interactive Autonomy for Multi-Agent Systems. Yiwei Lyu |
| 2023 | Safe Interval Path Planning with Kinodynamic Constraints. Zain Alabedeen Ali, Konstantin S. Yakovlev |
| 2023 | Safe Multi-View Deep Classification. Wei Liu, Yufei Chen, Xiaodong Yue, Changqing Zhang, Shaorong Xie |
| 2023 | Safe Policy Improvement for POMDPs via Finite-State Controllers. Thiago D. Simão, Marnix Suilen, Nils Jansen |
| 2023 | Safe Reinforcement Learning via Shielding under Partial Observability. Steven Carr, Nils Jansen, Sebastian Junges, Ufuk Topcu |
| 2023 | SafeLight: A Reinforcement Learning Method toward Collision-Free Traffic Signal Control. Wenlu Du, Junyi Ye, Jingyi Gu, Jing Li, Hua Wei, Guiling Wang |
| 2023 | Safeguarded Learned Convex Optimization. Howard Heaton, Xiaohan Chen, Zhangyang Wang, Wotao Yin |
| 2023 | Safety Aware Neural Pruning for Deep Reinforcement Learning (Student Abstract). Briti Gangopadhyay, Pallab Dasgupta, Soumyajit Dey |
| 2023 | Safety Validation of Learning-Based Autonomous Systems: A Multi-Fidelity Approach. Ali Baheri |
| 2023 | Safety Verification of Nonlinear Systems with Bayesian Neural Network Controllers. Xia Zeng, Zhengfeng Yang, Li Zhang, Xiaochao Tang, Zhenbing Zeng, Zhiming Liu |
| 2023 | Sample-Dependent Adaptive Temperature Scaling for Improved Calibration. Tom Joy, Francesco Pinto, Ser-Nam Lim, Philip H. S. Torr, Puneet K. Dokania |
| 2023 | Scalable Attributed-Graph Subspace Clustering. Chakib Fettal, Lazhar Labiod, Mohamed Nadif |
| 2023 | Scalable Bayesian Meta-Learning through Generalized Implicit Gradients. Yilang Zhang, Bingcong Li, Shijian Gao, Georgios B. Giannakis |
| 2023 | Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health. Kai Wang, Shresth Verma, Aditya Mate, Sanket Shah, Aparna Taneja, Neha Madhiwalla, Aparna Hegde, Milind Tambe |
| 2023 | Scalable Edge Blocking Algorithms for Defending Active Directory Style Attack Graphs. Mingyu Guo, Max Ward, Aneta Neumann, Frank Neumann, Hung Nguyen |
| 2023 | Scalable Negotiating Agent Strategy via Multi-Issue Policy Network (Student Abstract). Takumu Shimizu, Ryota Higa, Toki Takahashi, Katsuhide Fujita, Shinji Nakadai |
| 2023 | Scalable Optimal Multiway-Split Decision Trees with Constraints. Shivaram Subramanian, Wei Sun |
| 2023 | Scalable Spatial Memory for Scene Rendering and Navigation. Wen-Cheng Chen, Chu-Song Chen, Wei-Chen Chiu, Min-Chun Hu |
| 2023 | Scalable Spatiotemporal Graph Neural Networks. Andrea Cini, Ivan Marisca, Filippo Maria Bianchi, Cesare Alippi |
| 2023 | Scalable Theory-Driven Regularization of Scene Graph Generation Models. Davide Buffelli, Efthymia Tsamoura |
| 2023 | Scalable and Effective Conductance-Based Graph Clustering. Longlong Lin, Ronghua Li, Tao Jia |
| 2023 | Scalable and Globally Optimal Generalized L₁ K-center Clustering via Constraint Generation in Mixed Integer Linear Programming. Aravinth Chembu, Scott Sanner, Hassan Khurram, Akshat Kumar |
| 2023 | Scaling Law for Recommendation Models: Towards General-Purpose User Representations. Kyuyong Shin, Hanock Kwak, Su Young Kim, Max Nihlén Ramström, Jisu Jeong, Jung-Woo Ha, Kyung-Min Kim |
| 2023 | Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction. Brahma S. Pavse, Josiah P. Hanna |
| 2023 | Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks. Jintang Li, Zhouxin Yu, Zulun Zhu, Liang Chen, Qi Yu, Zibin Zheng, Sheng Tian, Ruofan Wu, Changhua Meng |
| 2023 | ScatterFormer: Locally-Invariant Scattering Transformer for Patient-Independent Multispectral Detection of Epileptiform Discharges. Ruizhe Zheng, Jun Li, Yi Wang, Tian Luo, Yuguo Yu |
| 2023 | Scene Graph to Image Synthesis via Knowledge Consensus. Yang Wu, Pengxu Wei, Liang Lin |
| 2023 | Scene-Level Sketch-Based Image Retrieval with Minimal Pairwise Supervision. Ce Ge, Jingyu Wang, Qi Qi, Haifeng Sun, Tong Xu, Jianxin Liao |
| 2023 | Score-Based Learning of Graphical Event Models with Background Knowledge Augmentation. Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Xiao Shou |
| 2023 | Scratch for Sports: Athletic Drills as a Platform for Experiencing, Understanding, and Developing AI-Driven Apps. Vishesh Kumar, Marcelo Worsley |
| 2023 | Script, Language, and Labels: Overcoming Three Discrepancies for Low-Resource Language Specialization. Jaeseong Lee, Dohyeon Lee, Seung-won Hwang |
| 2023 | SeDepTTS: Enhancing the Naturalness via Semantic Dependency and Local Convolution for Text-to-Speech Synthesis. Chenglong Jiang, Ying Gao, Wing W. Y. Ng, Jiyong Zhou, Jinghui Zhong, Hongzhong Zhen |
| 2023 | Second-Order Quantified Boolean Logic. Jie-Hong R. Jiang |
| 2023 | Securing Lifelines: Safe Delivery of Critical Services in Areas with Volatile Security Situation via a Stackelberg Game Approach. Tien Mai, Arunesh Sinha |
| 2023 | Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning. Jinhyun So, Ramy E. Ali, Basak Güler, Jiantao Jiao, Amir Salman Avestimehr |
| 2023 | See How You Read? Multi-Reading Habits Fusion Reasoning for Multi-Modal Fake News Detection. Lianwei Wu, Pusheng Liu, Yanning Zhang |
| 2023 | See Your Emotion from Gait Using Unlabeled Skeleton Data. Haifeng Lu, Xiping Hu, Bin Hu |
| 2023 | SegFormer: A Topic Segmentation Model with Controllable Range of Attention. Haitao Bai, Pinghui Wang, Ruofei Zhang, Zhou Su |
| 2023 | SelectAugment: Hierarchical Deterministic Sample Selection for Data Augmentation. Shiqi Lin, Zhizheng Zhang, Xin Li, Zhibo Chen |
| 2023 | Selective Knowledge Distillation for Non-Autoregressive Neural Machine Translation. Min Liu, Yu Bao, Chengqi Zhao, Shujian Huang |
| 2023 | Selector-Enhancer: Learning Dynamic Selection of Local and Non-local Attention Operation for Speech Enhancement. Xinmeng Xu, Weiping Tu, Yuhong Yang |
| 2023 | Self Correspondence Distillation for End-to-End Weakly-Supervised Semantic Segmentation. Rongtao Xu, Changwei Wang, Jiaxi Sun, Shibiao Xu, Weiliang Meng, Xiaopeng Zhang |
| 2023 | Self-Asymmetric Invertible Network for Compression-Aware Image Rescaling. Jinhai Yang, Mengxi Guo, Shijie Zhao, Junlin Li, Li Zhang |
| 2023 | Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network. Sangmin Bae, Sungnyun Kim, Jongwoo Ko, Gihun Lee, Seungjong Noh, Se-Young Yun |
| 2023 | Self-Decoupling and Ensemble Distillation for Efficient Segmentation. Yuang Liu, Wei Zhang, Jun Wang |
| 2023 | Self-Emphasizing Network for Continuous Sign Language Recognition. Lianyu Hu, Liqing Gao, Zekang Liu, Wei Feng |
| 2023 | Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information. Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu |
| 2023 | Self-Paced Learning Based Graph Convolutional Neural Network for Mixed Integer Programming (Student Abstract). Li Chen, Hua Xu, Ziteng Wang, Chengming Wang, Yu Jiang |
| 2023 | Self-Supervised Action Representation Learning from Partial Spatio-Temporal Skeleton Sequences. Yujie Zhou, Haodong Duan, Anyi Rao, Bing Su, Jiaqi Wang |
| 2023 | Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Synchronicity. Pritam Sarkar, Ali Etemad |
| 2023 | Self-Supervised Bidirectional Learning for Graph Matching. Wenqi Guo, Lin Zhang, Shikui Tu, Lei Xu |
| 2023 | Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces. Li Sun, Junda Ye, Hao Peng, Feiyang Wang, Philip S. Yu |
| 2023 | Self-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering. Zongmo Huang, Yazhou Ren, Xiaorong Pu, Shudong Huang, Zenglin Xu, Lifang He |
| 2023 | Self-Supervised Graph Learning for Long-Tailed Cognitive Diagnosis. Shanshan Wang, Zhen Zeng, Xun Yang, Xingyi Zhang |
| 2023 | Self-Supervised Image Denoising Using Implicit Deep Denoiser Prior. Huangxing Lin, Yihong Zhuang, Xinghao Ding, Delu Zeng, Yue Huang, Xiaotong Tu, John W. Paisley |
| 2023 | Self-Supervised Image Local Forgery Detection by JPEG Compression Trace. Xiuli Bi, Wuqing Yan, Bo Liu, Bin Xiao, Weisheng Li, Xinbo Gao |
| 2023 | Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation. Guoqiang Sun, Yibin Shen, Sijin Zhou, Xiang Chen, Hongyan Liu, Chunming Wu, Chenyi Lei, Xianhui Wei, Fei Fang |
| 2023 | Self-Supervised Joint Dynamic Scene Reconstruction and Optical Flow Estimation for Spiking Camera. Shiyan Chen, Zhaofei Yu, Tiejun Huang |
| 2023 | Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis. Thi Kieu Khanh Ho, Narges Armanfard |
| 2023 | Self-Supervised Learning for Multilevel Skeleton-Based Forgery Detection via Temporal-Causal Consistency of Actions. Liang Hu, Dora D. Liu, Qi Zhang, Usman Naseem, Zhongyuan Lai |
| 2023 | Self-Supervised Logic Induction for Explainable Fuzzy Temporal Commonsense Reasoning. Bibo Cai, Xiao Ding, Zhouhao Sun, Bing Qin, Ting Liu, Baojun Wang, Lifeng Shang |
| 2023 | Self-Supervised Primal-Dual Learning for Constrained Optimization. Seonho Park, Pascal Van Hentenryck |
| 2023 | Self-Supervised Video Representation Learning via Latent Time Navigation. Di Yang, Yaohui Wang, Quan Kong, Antitza Dantcheva, Lorenzo Garattoni, Gianpiero Francesca, François Brémond |
| 2023 | Semantic 3D-Aware Portrait Synthesis and Manipulation Based on Compositional Neural Radiance Field. Tianxiang Ma, Bingchuan Li, Qian He, Jing Dong, Tieniu Tan |
| 2023 | Semantic-Aware Superpixel for Weakly Supervised Semantic Segmentation. Sangtae Kim, Daeyoung Park, Byonghyo Shim |
| 2023 | Semantic-Enhanced Image Clustering. Shaotian Cai, Liping Qiu, Xiaojun Chen, Qin Zhang, Longteng Chen |
| 2023 | Semantics-Aware Dynamic Localization and Refinement for Referring Image Segmentation. Zhao Yang, Jiaqi Wang, Yansong Tang, Kai Chen, Hengshuang Zhao, Philip H. S. Torr |
| 2023 | Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks. Weihang Dai, Xiaomeng Li, Kwang-Ting Cheng |
| 2023 | Semi-attention Partition for Occluded Person Re-identification. Mengxi Jia, Yifan Sun, Yunpeng Zhai, Xinhua Cheng, Yi Yang, Ying Li |
| 2023 | Semi-random Impossibilities of Condorcet Criterion. Lirong Xia |
| 2023 | Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation. Sheng Xiang, Mingzhi Zhu, Dawei Cheng, Enxia Li, Ruihui Zhao, Yi Ouyang, Ling Chen, Yefeng Zheng |
| 2023 | Semi-supervised Deep Large-Baseline Homography Estimation with Progressive Equivalence Constraint. Hai Jiang, Haipeng Li, Yuhang Lu, Songchen Han, Shuaicheng Liu |
| 2023 | Semi-supervised Learning with Support Isolation by Small-Paced Self-Training. Zheng Xie, Hui Sun, Ming Li |
| 2023 | Semi-supervised Review-Aware Rating Regression (Student Abstract). Xiangkui Lu, Jun Wu |
| 2023 | Semi-transductive Learning for Generalized Zero-Shot Sketch-Based Image Retrieval. Ce Ge, Jingyu Wang, Qi Qi, Haifeng Sun, Tong Xu, Jianxin Liao |
| 2023 | Semidefinite Programming versus Burer-Monteiro Factorization for Matrix Sensing. Baturalp Yalçin, Ziye Ma, Javad Lavaei, Somayeh Sojoudi |
| 2023 | Separate but Equal: Equality in Belief Propagation for Single Cycle Graphs. Erel Cohen, Omer Lev, Roie Zivan |
| 2023 | Seq2Seq Surrogates of Epidemic Models to Facilitate Bayesian Inference. Giovanni Charles, Timothy M. Wolock, Peter Winskill, Azra C. Ghani, Samir Bhatt, Seth R. Flaxman |
| 2023 | Sequence Generation with Label Augmentation for Relation Extraction. Bo Li, Dingyao Yu, Wei Ye, Jinglei Zhang, Shikun Zhang |
| 2023 | Sequential Graph Attention Learning for Predicting Dynamic Stock Trends (Student Abstract). Tzu-Ya Lai, Wen Jung Cheng, Jun-En Ding |
| 2023 | Set-to-Sequence Ranking-Based Concept-Aware Learning Path Recommendation. Xianyu Chen, Jian Shen, Wei Xia, Jiarui Jin, Yakun Song, Weinan Zhang, Weiwen Liu, Menghui Zhu, Ruiming Tang, Kai Dong, Dingyin Xia, Yong Yu |
| 2023 | ShadowFormer: Global Context Helps Shadow Removal. Lanqing Guo, Siyu Huang, Ding Liu, Hao Cheng, Bihan Wen |
| 2023 | Shared Tasks as Tutorials: A Methodical Approach. Theresa Elstner, Frank Loebe, Yamen Ajjour, Christopher Akiki, Alexander Bondarenko, Maik Fröbe, Lukas Gienapp, Nikolay Kolyada, Janis Mohr, Stephan Sandfuchs, Matti Wiegmann, Jörg Frochte, Nicola Ferro, Sven Hofmann, Benno Stein, Matthias Hagen, Martin Potthast |
| 2023 | Sharing Pattern Submodels for Prediction with Missing Values. Lena Stempfle, Ashkan Panahi, Fredrik D. Johansson |
| 2023 | SharpSSAT: A Witness-Generating Stochastic Boolean Satisfiability Solver. Yu-Wei Fan, Jie-Hong R. Jiang |
| 2023 | SheetPT: Spreadsheet Pre-training Based on Hierarchical Attention Network. Ran Jia, Qiyu Li, Zihan Xu, Xiaoyuan Jin, Lun Du, Haoyu Dong, Xiao Lv, Shi Han, Dongmei Zhang |
| 2023 | Shielding in Resource-Constrained Goal POMDPs. Michal Ajdarów, Simon Brlej, Petr Novotný |
| 2023 | ShiftDDPMs: Exploring Conditional Diffusion Models by Shifting Diffusion Trajectories. Zijian Zhang, Zhou Zhao, Jun Yu, Qi Tian |
| 2023 | Show Me the Way! Bilevel Search for Synthesizing Programmatic Strategies. David S. Aleixo, Levi H. S. Lelis |
| 2023 | Show, Interpret and Tell: Entity-Aware Contextualised Image Captioning in Wikipedia. Khanh Nguyen, Ali Furkan Biten, Andrés Mafla, Lluís Gómez, Dimosthenis Karatzas |
| 2023 | Siamese-Discriminant Deep Reinforcement Learning for Solving Jigsaw Puzzles with Large Eroded Gaps. Xingke Song, Jiahuan Jin, Chenglin Yao, Shihe Wang, Jianfeng Ren, Ruibin Bai |
| 2023 | SigMaNet: One Laplacian to Rule Them All. Stefano Fiorini, Stefano Coniglio, Michele Ciavotta, Enza Messina |
| 2023 | Signed Laplacian Graph Neural Networks. Yu Li, Meng Qu, Jian Tang, Yi Chang |
| 2023 | SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification. Tianci Liu, Haoyu Wang, Yaqing Wang, Xiaoqian Wang, Lu Su, Jing Gao |
| 2023 | Similarity Distribution Based Membership Inference Attack on Person Re-identification. Junyao Gao, Xinyang Jiang, Huishuai Zhang, Yifan Yang, Shuguang Dou, Dongsheng Li, Duoqian Miao, Cheng Deng, Cairong Zhao |
| 2023 | Simple and Effective Synthesis of Indoor 3D Scenes. Jing Yu Koh, Harsh Agrawal, Dhruv Batra, Richard Tucker, Austin Waters, Honglak Lee, Yinfei Yang, Jason Baldridge, Peter Anderson |
| 2023 | Simple and Efficient Heterogeneous Graph Neural Network. Xiaocheng Yang, Mingyu Yan, Shirui Pan, Xiaochun Ye, Dongrui Fan |
| 2023 | Simulating Network Paths with Recurrent Buffering Units. Divyam Anshumaan, Sriram Balasubramanian, Shubham Tiwari, Nagarajan Natarajan, Sundararajan Sellamanickam, Venkat N. Padmanabhan |
| 2023 | Simultaneously Updating All Persistence Values in Reinforcement Learning. Luca Sabbioni, Luca Al Daire, Lorenzo Bisi, Alberto Maria Metelli, Marcello Restelli |
| 2023 | SkateboardAI: The Coolest Video Action Recognition for Skateboarding (Student Abstract). Hanxiao Chen |
| 2023 | Skating-Mixer: Long-Term Sport Audio-Visual Modeling with MLPs. Jingfei Xia, Mingchen Zhuge, Tiantian Geng, Shun Fan, Yuantai Wei, Zhenyu He, Feng Zheng |
| 2023 | SlideVQA: A Dataset for Document Visual Question Answering on Multiple Images. Ryota Tanaka, Kyosuke Nishida, Kosuke Nishida, Taku Hasegawa, Itsumi Saito, Kuniko Saito |
| 2023 | Smoothed Online Combinatorial Optimization Using Imperfect Predictions. Kai Wang, Zhao Song, Georgios Theocharous, Sridhar Mahadevan |
| 2023 | Social Bias Meets Data Bias: The Impacts of Labeling and Measurement Errors on Fairness Criteria. Yiqiao Liao, Parinaz Naghizadeh |
| 2023 | Social Intelligence towards Human-AI Teambuilding (Student Abstract). Morgan E. Bailey, Frank E. Pollick |
| 2023 | Social Relation Reasoning Based on Triangular Constraints. Yunfei Guo, Fei Yin, Wei Feng, Xudong Yan, Tao Xue, Shuqi Mei, Cheng-Lin Liu |
| 2023 | Socially Optimal Non-discriminatory Restrictions for Continuous-Action Games. Michael Oesterle, Guni Sharon |
| 2023 | Soft Action Priors: Towards Robust Policy Transfer. Matheus Centa, Philippe Preux |
| 2023 | Soft Target-Enhanced Matching Framework for Deep Entity Matching. Wenzhou Dou, Derong Shen, Xiangmin Zhou, Tiezheng Nie, Yue Kou, Hang Cui, Ge Yu |
| 2023 | SoftCorrect: Error Correction with Soft Detection for Automatic Speech Recognition. Yichong Leng, Xu Tan, Wenjie Liu, Kaitao Song, Rui Wang, Xiang-Yang Li, Tao Qin, Edward Lin, Tie-Yan Liu |
| 2023 | SolderNet: Towards Trustworthy Visual Inspection of Solder Joints in Electronics Manufacturing Using Explainable Artificial Intelligence. Hayden Gunraj, Paul Guerrier, Sheldon Fernandez, Alexander Wong |
| 2023 | Solving Explainability Queries with Quantification: The Case of Feature Relevancy. Xuanxiang Huang, Yacine Izza, João Marques-Silva |
| 2023 | Solving Large-Scale Pursuit-Evasion Games Using Pre-trained Strategies. Shuxin Li, Xinrun Wang, Youzhi Zhang, Wanqi Xue, Jakub Cerný, Bo An |
| 2023 | Solving Math Word Problems concerning Systems of Equations with GPT-3. Mingyu Zong, Bhaskar Krishnamachari |
| 2023 | Sparse Coding in a Dual Memory System for Lifelong Learning. Fahad Sarfraz, Elahe Arani, Bahram Zonooz |
| 2023 | Sparse Maximum Margin Learning from Multimodal Human Behavioral Patterns. Ervine Zheng, Qi Yu, Zhi Zheng |
| 2023 | Spatial-Spectral Transformer for Hyperspectral Image Denoising. Miaoyu Li, Ying Fu, Yulun Zhang |
| 2023 | SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning. Jinxiang Lai, Siqian Yang, Wenlong Wu, Tao Wu, Guannan Jiang, Xi Wang, Jun Liu, Bin-Bin Gao, Wei Zhang, Yuan Xie, Chengjie Wang |
| 2023 | Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction. Guangyin Jin, Lingbo Liu, Fuxian Li, Jincai Huang |
| 2023 | Spatio-Temporal Meta-Graph Learning for Traffic Forecasting. Renhe Jiang, Zhaonan Wang, Jiawei Yong, Puneet Jeph, Quanjun Chen, Yasumasa Kobayashi, Xuan Song, Shintaro Fukushima, Toyotaro Suzumura |
| 2023 | Spatio-Temporal Neural Structural Causal Models for Bike Flow Prediction. Pan Deng, Yu Zhao, Junting Liu, Xiaofeng Jia, Mulan Wang |
| 2023 | Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction. Jiahao Ji, Jingyuan Wang, Chao Huang, Junjie Wu, Boren Xu, Zhenhe Wu, Junbo Zhang, Yu Zheng |
| 2023 | Spatiotemporal Deformation Perception for Fisheye Video Rectification. Shangrong Yang, Chunyu Lin, Kang Liao, Yao Zhao |
| 2023 | Spearman Rank Correlation Screening for Ultrahigh-Dimensional Censored Data. Hongni Wang, Jingxin Yan, Xiaodong Yan |
| 2023 | Spectral Feature Augmentation for Graph Contrastive Learning and Beyond. Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King |
| 2023 | SplitNet: A Reinforcement Learning Based Sequence Splitting Method for the MinMax Multiple Travelling Salesman Problem. Hebin Liang, Yi Ma, Zilin Cao, Tianyang Liu, Fei Ni, Zhigang Li, Jianye Hao |
| 2023 | Splitting Answer Set Programs with Respect to Intensionality Statements. Jorge Fandinno, Yuliya Lierler |
| 2023 | Stability-Based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning. Jiahuan Wang, Jun Chen, Hong Chen, Bin Gu, Weifu Li, Xin Tang |
| 2023 | Stability-Based Generalization Analysis of the Asynchronous Decentralized SGD. Xiaoge Deng, Tao Sun, Shengwei Li, Dongsheng Li |
| 2023 | Stable Learning via Sparse Variable Independence. Han Yu, Peng Cui, Yue He, Zheyan Shen, Yong Lin, Renzhe Xu, Xingxuan Zhang |
| 2023 | State-Conditioned Adversarial Subgoal Generation. Vivienne Huiling Wang, Joni Pajarinen, Tinghuai Wang, Joni-Kristian Kämäräinen |
| 2023 | Steganography of Steganographic Networks. Guobiao Li, Sheng Li, Meiling Li, Xinpeng Zhang, Zhenxing Qian |
| 2023 | Stepdown SLOPE for Controlled Feature Selection. Jingxuan Liang, Xuelin Zhang, Hong Chen, Weifu Li, Xin Tang |
| 2023 | StereoDistill: Pick the Cream from LiDAR for Distilling Stereo-Based 3D Object Detection. Zhe Liu, Xiaoqing Ye, Xiao Tan, Errui Ding, Xiang Bai |
| 2023 | Stochastic Contextual Bandits with Long Horizon Rewards. Yuzhen Qin, Yingcong Li, Fabio Pasqualetti, Maryam Fazel, Samet Oymak |
| 2023 | Stop-Gradient Softmax Loss for Deep Metric Learning. Lu Yang, Peng Wang, Yanning Zhang |
| 2023 | Store and Fetch Immediately: Everything Is All You Need for Space-Time Video Super-resolution. Mengshun Hu, Kui Jiang, Zhixiang Nie, Jiahuan Zhou, Zheng Wang |
| 2023 | Strategic Facility Location with Clients That Minimize Total Waiting Time. Simon Krogmann, Pascal Lenzner, Alexander Skopalik |
| 2023 | Strategyproofness and Proportionality in Party-Approval Multiwinner Elections. Théo Delemazure, Tom Demeulemeester, Manuel Eberl, Jonas Israel, Patrick Lederer |
| 2023 | Stroke Extraction of Chinese Character Based on Deep Structure Deformable Image Registration. Meng Li, Yahan Yu, Yi Yang, Guanghao Ren, Jian Wang |
| 2023 | Structurally Restricted Fragments of Numeric Planning - a Complexity Analysis. Alexander Shleyfman, Daniel Gnad, Peter Jonsson |
| 2023 | Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems. Yuening Wang, Yingxue Zhang, Antonios Valkanas, Ruiming Tang, Chen Ma, Jianye Hao, Mark Coates |
| 2023 | Structure Flow-Guided Network for Real Depth Super-resolution. Jiayi Yuan, Haobo Jiang, Xiang Li, Jianjun Qian, Jun Li, Jian Yang |
| 2023 | Structured BFGS Method for Optimal Doubly Stochastic Matrix Approximation. Dejun Chu, Changshui Zhang, Shiliang Sun, Qing Tao |
| 2023 | Structured Case-Based Reasoning for Inference-Time Adaptation of Text-to-SQL Parsers. Abhijeet Awasthi, Soumen Chakrabarti, Sunita Sarawagi |
| 2023 | Style-Content Metric Learning for Multidomain Remote Sensing Object Recognition. Wenda Zhao, Ruikai Yang, Yu Liu, You He |
| 2023 | StyleTalk: One-Shot Talking Head Generation with Controllable Speaking Styles. Yifeng Ma, Suzhen Wang, Zhipeng Hu, Changjie Fan, Tangjie Lv, Yu Ding, Zhidong Deng, Xin Yu |
| 2023 | Submodular Maximization under the Intersection of Matroid and Knapsack Constraints. Yu-Ran Gu, Chao Bian, Chao Qian |
| 2023 | Subspace-Aware Exploration for Sparse-Reward Multi-Agent Tasks. Pei Xu, Junge Zhang, Qiyue Yin, Chao Yu, Yaodong Yang, Kaiqi Huang |
| 2023 | Substructure Aware Graph Neural Networks. DingYi Zeng, Wanlong Liu, Wenyu Chen, Li Zhou, Malu Zhang, Hong Qu |
| 2023 | Sudoku Assistant - an AI-Powered App to Help Solve Pen-and-Paper Sudokus. Tias Guns, Emilio Gamba, Maxime Mulamba, Ignace Bleukx, Senne Berden, Milan Pesa |
| 2023 | SumREN: Summarizing Reported Speech about Events in News. Revanth Gangi Reddy, Heba Elfardy, Hou Pong Chan, Kevin Small, Heng Ji |
| 2023 | Summarization Attack via Paraphrasing (Student Abstract). Jiyao Li, Wei Liu |
| 2023 | Super-efficient Echocardiography Video Segmentation via Proxy- and Kernel-Based Semi-supervised Learning. Huisi Wu, Jingyin Lin, Wende Xie, Jing Qin |
| 2023 | Superpoint Transformer for 3D Scene Instance Segmentation. Jiahao Sun, Chunmei Qing, Junpeng Tan, Xiangmin Xu |
| 2023 | Supervised Contrastive Few-Shot Learning for High-Frequency Time Series. Xi Chen, Cheng Ge, Ming Wang, Jin Wang |
| 2023 | Sustaining Fairness via Incremental Learning. Somnath Basu Roy Chowdhury, Snigdha Chaturvedi |
| 2023 | SwiftAvatar: Efficient Auto-Creation of Parameterized Stylized Character on Arbitrary Avatar Engines. Shizun Wang, Weihong Zeng, Xu Wang, Hao Yang, Li Chen, Chuang Zhang, Ming Wu, Yi Yuan, Yunzhao Zeng, Min Zheng, Jing Liu |
| 2023 | SwinRDM: Integrate SwinRNN with Diffusion Model towards High-Resolution and High-Quality Weather Forecasting. Lei Chen, Fei Du, Yuan Hu, Zhibin Wang, Fan Wang |
| 2023 | Symbolic Metamodels for Interpreting Black-Boxes Using Primitive Functions. Mahed Abroshan, Saumitra Mishra, Mohammad Mahdi Khalili |
| 2023 | Symbolic Replay: Scene Graph as Prompt for Continual Learning on VQA Task. Stan Weixian Lei, Difei Gao, Jay Zhangjie Wu, Yuxuan Wang, Wei Liu, Mengmi Zhang, Mike Zheng Shou |
| 2023 | Symmetry-Aware Transformer-Based Mirror Detection. Tianyu Huang, Bowen Dong, Jiaying Lin, Xiaohui Liu, Rynson W. H. Lau, Wangmeng Zuo |
| 2023 | Symphony in the Latent Space: Provably Integrating High-Dimensional Techniques with Non-linear Machine Learning Models. Qiong Wu, Jian Li, Zhenming Liu, Yanhua Li, Mihai Cucuringu |
| 2023 | Synchronization and Diversity of Solutions. Emmanuel Arrighi, Henning Fernau, Mateus de Oliveira Oliveira, Petra Wolf |
| 2023 | Synthetic Data Can Also Teach: Synthesizing Effective Data for Unsupervised Visual Representation Learning. Yawen Wu, Zhepeng Wang, Dewen Zeng, Yiyu Shi, Jingtong Hu |
| 2023 | T-distributed Spherical Feature Representation for Imbalanced Classification. Xiaoyu Yang, Yufei Chen, Xiaodong Yue, Shaoxun Xu, Chao Ma |
| 2023 | T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation. Cuiying Huo, Di Jin, Yawen Li, Dongxiao He, Yu-Bin Yang, Lingfei Wu |
| 2023 | T2G-FORMER: Organizing Tabular Features into Relation Graphs Promotes Heterogeneous Feature Interaction. Jiahuan Yan, Jintai Chen, Yixuan Wu, Danny Z. Chen, Jian Wu |
| 2023 | TA-DA: Topic-Aware Domain Adaptation for Scientific Keyphrase Identification and Classification (Student Abstract). Razvan-Alexandru Smadu, George-Eduard Zaharia, Andrei-Marius Avram, Dumitru-Clementin Cercel, Mihai Dascalu, Florin Pop |
| 2023 | TC-DWA: Text Clustering with Dual Word-Level Augmentation. Bo Cheng, Ximing Li, Yi Chang |
| 2023 | THMA: Tencent HD Map AI System for Creating HD Map Annotations. Kun Tang, Xu Cao, Zhipeng Cao, Tong Zhou, Erlong Li, Ao Liu, Shengtao Zou, Chang Liu, Shuqi Mei, Elena Sizikova, Chao Zheng |
| 2023 | TOT：Topology-Aware Optimal Transport for Multimodal Hate Detection. Linhao Zhang, Li Jin, Xian Sun, Guangluan Xu, Zequn Zhang, Xiaoyu Li, Nayu Liu, Qing Liu, Shiyao Yan |
| 2023 | TUTORING: Instruction-Grounded Conversational Agent for Language Learners. Hyungjoo Chae, Minjin Kim, Chaehyeong Kim, Wonseok Jeong, Hyejoong Kim, Junmyung Lee, Jinyoung Yeo |
| 2023 | TaCo: Textual Attribute Recognition via Contrastive Learning. Chang Nie, Yiqing Hu, Yanqiu Qu, Hao Liu, Deqiang Jiang, Bo Ren |
| 2023 | Tackling Data Heterogeneity in Federated Learning with Class Prototypes. Yutong Dai, Zeyuan Chen, Junnan Li, Shelby Heinecke, Lichao Sun, Ran Xu |
| 2023 | Tackling Safe and Efficient Multi-Agent Reinforcement Learning via Dynamic Shielding (Student Abstract). Wenli Xiao, Yiwei Lyu, John M. Dolan |
| 2023 | Tagging before Alignment: Integrating Multi-Modal Tags for Video-Text Retrieval. Yizhen Chen, Jie Wang, Lijian Lin, Zhongang Qi, Jin Ma, Ying Shan |
| 2023 | Take Your Model Further: A General Post-refinement Network for Light Field Disparity Estimation via BadPix Correction. Rongshan Chen, Hao Sheng, Da Yang, Sizhe Wang, Zhenglong Cui, Ruixuan Cong |
| 2023 | Taming Continuous Posteriors for Latent Variational Dialogue Policies. Marin Vlastelica, Patrick Ernst, Gyuri Szarvas |
| 2023 | Target-Aware Tracking with Long-Term Context Attention. Kaijie He, Canlong Zhang, Sheng Xie, Zhixin Li, Zhiwen Wang |
| 2023 | Target-Free Text-Guided Image Manipulation. Wan-Cyuan Fan, Cheng-Fu Yang, Chiao-An Yang, Yu-Chiang Frank Wang |
| 2023 | Targeted Knowledge Infusion To Make Conversational AI Explainable and Safe. Manas Gaur |
| 2023 | Task and Model Agnostic Adversarial Attack on Graph Neural Networks. Kartik Sharma, Samidha Verma, Sourav Medya, Arnab Bhattacharya, Sayan Ranu |
| 2023 | Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability. Zhexiong Liu, Licheng Liu, Yiqun Xie, Zhenong Jin, Xiaowei Jia |
| 2023 | Task-Specific Scene Structure Representations. Jisu Shin, Seunghyun Shin, Hae-Gon Jeon |
| 2023 | Task2KB: A Public Task-Oriented Knowledge Base. Procheta Sen, Xi Wang, Ruiqing Xu, Emine Yilmaz |
| 2023 | Taxonomizing and Measuring Representational Harms: A Look at Image Tagging. Jared Katzman, Angelina Wang, Morgan Klaus Scheuerman, Su Lin Blodgett, Kristen Laird, Hanna M. Wallach, Solon Barocas |
| 2023 | Teaching to Learn: Sequential Teaching of Learners with Internal States. Mustafa Mert Çelikok, Pierre-Alexandre Murena, Samuel Kaski |
| 2023 | Temporal Knowledge Graph Reasoning with Historical Contrastive Learning. Yi Xu, Junjie Ou, Hui Xu, Luoyi Fu |
| 2023 | Temporal-Frequency Co-training for Time Series Semi-supervised Learning. Zhen Liu, Qianli Ma, Peitian Ma, Linghao Wang |
| 2023 | Tensor Compressive Sensing Fused Low-Rankness and Local-Smoothness. Xinling Liu, Jingyao Hou, Jiangjun Peng, Hailin Wang, Deyu Meng, Jianjun Wang |
| 2023 | Tensorized Incomplete Multi-View Clustering with Intrinsic Graph Completion. Shuping Zhao, Jie Wen, Lunke Fei, Bob Zhang |
| 2023 | Test Time Augmentation Meets Post-hoc Calibration: Uncertainty Quantification under Real-World Conditions. Achim Hekler, Titus J. Brinker, Florian Buettner |
| 2023 | Testing the Channels of Convolutional Neural Networks. Kang Choi, Donghyun Son, Younghoon Kim, Jiwon Seo |
| 2023 | Text to Point Cloud Localization with Relation-Enhanced Transformer. Guangzhi Wang, Hehe Fan, Mohan S. Kankanhalli |
| 2023 | Text-DIAE: A Self-Supervised Degradation Invariant Autoencoder for Text Recognition and Document Enhancement. Mohamed Ali Souibgui, Sanket Biswas, Andrés Mafla, Ali Furkan Biten, Alicia Fornés, Yousri Kessentini, Josep Lladós, Lluís Gómez, Dimosthenis Karatzas |
| 2023 | TgrApp: Anomaly Detection and Visualization of Large-Scale Call Graphs. Mirela T. Cazzolato, Saranya Vijayakumar, Xinyi Zheng, Namyong Park, Meng-Chieh Lee, Duen Horng Chau, Pedro Fidalgo, Bruno Lages, Agma J. M. Traina, Christos Faloutsos |
| 2023 | The Analysis of Deep Neural Networks by Information Theory: From Explainability to Generalization. Shujian Yu |
| 2023 | The Automatic Computer Scientist. Andrew Cropper |
| 2023 | The Devil Is in the Frequency: Geminated Gestalt Autoencoder for Self-Supervised Visual Pre-training. Hao Liu, Xinghua Jiang, Xin Li, Antai Guo, Yiqing Hu, Deqiang Jiang, Bo Ren |
| 2023 | The Effect of Diversity in Meta-Learning. Ramnath Kumar, Tristan Deleu, Yoshua Bengio |
| 2023 | The Effect of Modeling Human Rationality Level on Learning Rewards from Multiple Feedback Types. Gaurav R. Ghosal, Matthew Zurek, Daniel S. Brown, Anca D. Dragan |
| 2023 | The Effect of Preferences in Abstract Argumentation under a Claim-Centric View. Michael Bernreiter, Wolfgang Dvorák, Anna Rapberger, Stefan Woltran |
| 2023 | The Expressive Power of Ad-Hoc Constraints for Modelling CSPs. Ruiwei Wang, Roland H. C. Yap |
| 2023 | The Implicit Regularization of Momentum Gradient Descent in Overparametrized Models. Li Wang, Zhiguo Fu, Yingcong Zhou, Zili Yan |
| 2023 | The Influence of Dimensions on the Complexity of Computing Decision Trees. Stephen G. Kobourov, Maarten Löffler, Fabrizio Montecchiani, Marcin Pilipczuk, Ignaz Rutter, Raimund Seidel, Manuel Sorge, Jules Wulms |
| 2023 | The Linear Distance Traveling Tournament Problem Allows an EPTAS. Jingyang Zhao, Mingyu Xiao |
| 2023 | The Many Faces of Adversarial Machine Learning. Yevgeniy Vorobeychik |
| 2023 | The Multi-Agent Transportation Problem. Pascal Bachor, Rolf-David Bergdoll, Bernhard Nebel |
| 2023 | The Naughtyformer: A Transformer Understands and Moderates Adult Humor (Student Abstract). Leonard Tang, Alexander Cai, Jason Wang |
| 2023 | The Parameterized Complexity of Network Microaggregation. Václav Blazej, Robert Ganian, Dusan Knop, Jan Pokorný, Simon Schierreich, Kirill Simonov |
| 2023 | The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications. Serena Booth, W. Bradley Knox, Julie Shah, Scott Niekum, Peter Stone, Alessandro Allievi |
| 2023 | The Role of Heuristics and Biases during Complex Choices with an AI Teammate. Nikolos Gurney, John H. Miller, David V. Pynadath |
| 2023 | The Sufficiency of Off-Policyness and Soft Clipping: PPO Is Still Insufficient according to an Off-Policy Measure. Xing Chen, Dongcui Diao, Hechang Chen, Hengshuai Yao, Haiyin Piao, Zhixiao Sun, Zhiwei Yang, Randy Goebel, Bei Jiang, Yi Chang |
| 2023 | The Unreasonable Effectiveness of Deep Evidential Regression. Nis Meinert, Jakob Gawlikowski, Alexander Lavin |
| 2023 | The Value of AI Guidance in Human Examination of Synthetically-Generated Faces. Aidan Boyd, Patrick Tinsley, Kevin W. Bowyer, Adam Czajka |
| 2023 | Theory of Mind: A Familiar Aspect of Humanity to Give Machines. Joel Michelson |
| 2023 | Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023 Brian Williams, Yiling Chen, Jennifer Neville |
| 2023 | Tight Inapproximability for Graphical Games. Argyrios Deligkas, John Fearnley, Alexandros Hollender, Themistoklis Melissourgos |
| 2023 | Tight Performance Guarantees of Imitator Policies with Continuous Actions. Davide Maran, Alberto Maria Metelli, Marcello Restelli |
| 2023 | Tighter Robust Upper Bounds for Options via No-Regret Learning. Shan Xue, Ye Du, Liang Xu |
| 2023 | Time Series Contrastive Learning with Information-Aware Augmentations. Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang |
| 2023 | Time-Aware Random Walk Diffusion to Improve Dynamic Graph Learning. Jong-whi Lee, Jinhong Jung |
| 2023 | TinyNeRF: Towards 100 x Compression of Voxel Radiance Fields. Tianli Zhao, Jiayuan Chen, Cong Leng, Jian Cheng |
| 2023 | Token Mixing: Parameter-Efficient Transfer Learning from Image-Language to Video-Language. Yuqi Liu, Luhui Xu, Pengfei Xiong, Qin Jin |
| 2023 | TopicFM: Robust and Interpretable Topic-Assisted Feature Matching. Khang Truong Giang, Soohwan Song, Sungho Jo |
| 2023 | Topics in Selective Classification. Andrea Pugnana |
| 2023 | Toplogical Data Analysis Detects and Classifies Sunspots (Student Abstract). Aidan Lytle, Neil Pritchard, Alicia Aarnio, Thomas Weighill |
| 2023 | Topological Distance Games. Martin Bullinger, Warut Suksompong |
| 2023 | Topological Pooling on Graphs. Yuzhou Chen, Yulia R. Gel |
| 2023 | Tournament Fixing Parameterized by Feedback Vertex Set Number Is FPT. Meirav Zehavi |
| 2023 | Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection. Kun Xiang, Xing Zhang, Jinwen She, Jinpeng Liu, Haohan Wang, Shiqi Deng, Shancheng Jiang |
| 2023 | Toward Robust Uncertainty Estimation with Random Activation Functions. Yana Stoyanova, Soroush Ghandi, Maryam Tavakol |
| 2023 | Toward a Perspectivist Turn in Ground Truthing for Predictive Computing. Federico Cabitza, Andrea Campagner, Valerio Basile |
| 2023 | Towards Automated Modeling Assistance: An Efficient Approach for Repairing Flawed Planning Domains. Songtuan Lin, Alban Grastien, Pascal Bercher |
| 2023 | Towards Better Visualizing the Decision Basis of Networks via Unfold and Conquer Attribution Guidance. Jung-Ho Hong, Woo-Jeoung Nam, Kyu-Sung Jeon, Seong-Whan Lee |
| 2023 | Towards Complex Scenarios: Building End-to-End Task-Oriented Dialogue System across Multiple Knowledge Bases. Libo Qin, Zhouyang Li, Qiying Yu, Lehan Wang, Wanxiang Che |
| 2023 | Towards Credible Human Evaluation of Open-Domain Dialog Systems Using Interactive Setup. Sijia Liu, Patrick Lange, Behnam Hedayatnia, Alexandros Papangelis, Di Jin, Andrew Wirth, Yang Liu, Dilek Hakkani-Tur |
| 2023 | Towards Decision-Friendly AUC: Learning Multi-Classifier with AUCµ. Peifeng Gao, Qianqian Xu, Peisong Wen, Huiyang Shao, Yuan He, Qingming Huang |
| 2023 | Towards Deployment-Efficient and Collision-Free Multi-Agent Path Finding (Student Abstract). Feng Chen, Chenghe Wang, Fuxiang Zhang, Hao Ding, Qiaoyong Zhong, Shiliang Pu, Zongzhang Zhang |
| 2023 | Towards Diverse, Relevant and Coherent Open-Domain Dialogue Generation via Hybrid Latent Variables. Bin Sun, Yitong Li, Fei Mi, Weichao Wang, Yiwei Li, Kan Li |
| 2023 | Towards Efficient and Domain-Agnostic Evasion Attack with High-Dimensional Categorical Inputs. Hongyan Bao, Yufei Han, Yujun Zhou, Xin Gao, Xiangliang Zhang |
| 2023 | Towards Fair and Selectively Privacy-Preserving Models Using Negative Multi-Task Learning (Student Abstract). Liyuan Gao, Huixin Zhan, Austin Chen, Victor S. Sheng |
| 2023 | Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network. Tong Li, Jiale Deng, Yanyan Shen, Luyu Qiu, Yongxiang Huang, Caleb Chen Cao |
| 2023 | Towards Global Video Scene Segmentation with Context-Aware Transformer. Yang Yang, Yurui Huang, Weili Guo, Baohua Xu, Dingyin Xia |
| 2023 | Towards Good Practices for Missing Modality Robust Action Recognition. Sangmin Woo, Sumin Lee, Yeonju Park, Muhammad Adi Nugroho, Changick Kim |
| 2023 | Towards Hybrid Automation by Bootstrapping Conversational Interfaces for IT Operation Tasks. Jayachandu Bandlamudi, Kushal Mukherjee, Prerna Agarwal, Sampath Dechu, Siyu Huo, Vatche Isahagian, Vinod Muthusamy, Naveen Purushothaman, Renuka Sindhgatta |
| 2023 | Towards In-Distribution Compatible Out-of-Distribution Detection. Boxi Wu, Jie Jiang, Haidong Ren, Zifan Du, Wenxiao Wang, Zhifeng Li, Deng Cai, Xiaofei He, Binbin Lin, Wei Liu |
| 2023 | Towards Inference Efficient Deep Ensemble Learning. Ziyue Li, Kan Ren, Yifan Yang, Xinyang Jiang, Yuqing Yang, Dongsheng Li |
| 2023 | Towards Interpreting and Utilizing Symmetry Property in Adversarial Examples. Shibin Mei, Chenglong Zhao, Bingbing Ni, Shengchao Yuan |
| 2023 | Towards Learning to Discover Money Laundering Sub-network in Massive Transaction Network. Ziwei Chai, Yang Yang, Jiawang Dan, Sheng Tian, Changhua Meng, Weiqiang Wang, Yifei Sun |
| 2023 | Towards More Robust Interpretation via Local Gradient Alignment. Sunghwan Joo, Seokhyeon Jeong, Juyeon Heo, Adrian Weller, Taesup Moon |
| 2023 | Towards Optimal Randomized Strategies in Adversarial Example Game. Jiahao Xie, Chao Zhang, Weijie Liu, Wensong Bai, Hui Qian |
| 2023 | Towards Real-Time Panoptic Narrative Grounding by an End-to-End Grounding Network. Haowei Wang, Jiayi Ji, Yiyi Zhou, Yongjian Wu, Xiaoshuai Sun |
| 2023 | Towards Real-Time Segmentation on the Edge. Yanyu Li, Changdi Yang, Pu Zhao, Geng Yuan, Wei Niu, Jiexiong Guan, Hao Tang, Minghai Qin, Qing Jin, Bin Ren, Xue Lin, Yanzhi Wang |
| 2023 | Towards Reliable Item Sampling for Recommendation Evaluation. Dong Li, Ruoming Jin, Zhenming Liu, Bin Ren, Jing Gao, Zhi Liu |
| 2023 | Towards Reliable Neural Machine Translation with Consistency-Aware Meta-Learning. Rongxiang Weng, Qiang Wang, Wensen Cheng, Changfeng Zhu, Min Zhang |
| 2023 | Towards Robust Metrics for Concept Representation Evaluation. Mateo Espinosa Zarlenga, Pietro Barbiero, Zohreh Shams, Dmitry Kazhdan, Umang Bhatt, Adrian Weller, Mateja Jamnik |
| 2023 | Towards Safe AI: Sandboxing DNNs-Based Controllers in Stochastic Games. Bingzhuo Zhong, Hongpeng Cao, Majid Zamani, Marco Caccamo |
| 2023 | Towards Safe Mechanical Ventilation Treatment Using Deep Offline Reinforcement Learning. Flemming Kondrup, Thomas Jiralerspong, Elaine Lau, Nathan de Lara, Jacob Shkrob, My Duc Tran, Doina Precup, Sumana Basu |
| 2023 | Towards Safe Reinforcement Learning via OOD Dynamics Detection in Autonomous Driving System (Student Abstract). Arnaud Gardille, Ola Ahmad |
| 2023 | Towards Safe and Resilient Autonomy in Multi-Robot Systems. Wenhao Luo |
| 2023 | Towards Societal Impact of AI. Chuxu Zhang |
| 2023 | Towards Unified, Explainable, and Robust Multisensory Perception. Yapeng Tian |
| 2023 | Towards Verifying the Geometric Robustness of Large-Scale Neural Networks. Fu Wang, Peipei Xu, Wenjie Ruan, Xiaowei Huang |
| 2023 | Towards Voice Reconstruction from EEG during Imagined Speech. Young-Eun Lee, Seo-Hyun Lee, Sang-Ho Kim, Seong-Whan Lee |
| 2023 | Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training. Yuting Ning, Zhenya Huang, Xin Lin, Enhong Chen, Shiwei Tong, Zheng Gong, Shijin Wang |
| 2023 | TrEP: Transformer-Based Evidential Prediction for Pedestrian Intention with Uncertainty. Zhengming Zhang, Renran Tian, Zhengming Ding |
| 2023 | TrOCR: Transformer-Based Optical Character Recognition with Pre-trained Models. Minghao Li, Tengchao Lv, Jingye Chen, Lei Cui, Yijuan Lu, Dinei A. F. Florêncio, Cha Zhang, Zhoujun Li, Furu Wei |
| 2023 | Tracking and Reconstructing Hand Object Interactions from Point Cloud Sequences in the Wild. Jiayi Chen, Mi Yan, Jiazhao Zhang, Yinzhen Xu, Xiaolong Li, Yijia Weng, Li Yi, Shuran Song, He Wang |
| 2023 | Trafformer: Unify Time and Space in Traffic Prediction. Di Jin, Jiayi Shi, Rui Wang, Yawen Li, Yuxiao Huang, Yu-Bin Yang |
| 2023 | Training Meta-Surrogate Model for Transferable Adversarial Attack. Yunxiao Qin, Yuanhao Xiong, Jinfeng Yi, Cho-Jui Hsieh |
| 2023 | Training-Time Attacks against K-nearest Neighbors. Ara Vartanian, Will Rosenbaum, Scott Alfeld |
| 2023 | TransLO: A Window-Based Masked Point Transformer Framework for Large-Scale LiDAR Odometry. Jiuming Liu, Guangming Wang, Chaokang Jiang, Zhe Liu, Hesheng Wang |
| 2023 | TransPath: Learning Heuristics for Grid-Based Pathfinding via Transformers. Daniil E. Kirilenko, Anton Andreychuk, Aleksandr Panov, Konstantin S. Yakovlev |
| 2023 | TransVCL: Attention-Enhanced Video Copy Localization Network with Flexible Supervision. Sifeng He, Yue He, Minlong Lu, Chen Jiang, Xudong Yang, Feng Qian, Xiaobo Zhang, Lei Yang, Jiandong Zhang |
| 2023 | Transfer Learning Enhanced DeepONet for Long-Time Prediction of Evolution Equations. Wuzhe Xu, Yulong Lu, Li Wang |
| 2023 | Transferable Post-hoc Calibration on Pretrained Transformers in Noisy Text Classification. Jun Zhang, Wen Yao, Xiaoqian Chen, Ling Feng |
| 2023 | Transformation-Equivariant 3D Object Detection for Autonomous Driving. Hai Wu, Chenglu Wen, Wei Li, Xin Li, Ruigang Yang, Cheng Wang |
| 2023 | Transformer-Based Multi-Hop Question Generation (Student Abstract). John Emerson, Yllias Chali |
| 2023 | Transformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain Corpora (Student Abstract). Arjun Choudhry, Pankaj Gupta, Inder Khatri, Aaryan Gupta, Maxime Nicol, Marie-Jean Meurs, Dinesh Kumar Vishwakarma |
| 2023 | Tree Learning: Optimal Sample Complexity and Algorithms. Dmitrii Avdiukhin, Grigory Yaroslavtsev, Danny Vainstein, Orr Fischer, Sauman Das, Faraz Mirza |
| 2023 | Tree-Structured Trajectory Encoding for Vision-and-Language Navigation. Xinzhe Zhou, Yadong Mu |
| 2023 | Tricking the Hashing Trick: A Tight Lower Bound on the Robustness of CountSketch to Adaptive Inputs. Edith Cohen, Jelani Nelson, Tamás Sarlós, Uri Stemmer |
| 2023 | Truncate-Split-Contrast: A Framework for Learning from Mislabeled Videos. Zixiao Wang, Junwu Weng, Chun Yuan, Jue Wang |
| 2023 | Trusted Fine-Grained Image Classification through Hierarchical Evidence Fusion. Zhikang Xu, Xiaodong Yue, Ying Lv, Wei Liu, Zihao Li |
| 2023 | Trustworthy Residual Vehicle Value Prediction for Auto Finance. Mihye Kim, Jimyung Choi, Jaehyun Kim, Wooyoung Kim, Yeonung Baek, Gisuk Bang, Kwangwoon Son, Yeonman Ryou, Kee-Eung Kim |
| 2023 | Truthful Mechanisms for Steiner Tree Problems. Jinshan Zhang, Zhengyang Liu, Xiaotie Deng, Jianwei Yin |
| 2023 | Two Heads Are Better than One: Image-Point Cloud Network for Depth-Based 3D Hand Pose Estimation. Pengfei Ren, Yuchen Chen, Jiachang Hao, Haifeng Sun, Qi Qi, Jingyu Wang, Jianxin Liao |
| 2023 | Two Views of Constrained Differential Privacy: Belief Revision and Update. Likang Liu, Keke Sun, Chunlai Zhou, Yuan Feng |
| 2023 | Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise. Mingcai Chen, Hao Cheng, Yuntao Du, Ming Xu, Wenyu Jiang, Chongjun Wang |
| 2023 | Two-Streams: Dark and Light Networks with Graph Convolution for Action Recognition from Dark Videos (Student Abstract). Saurabh Suman, Nilay Naharas, Badri Narayan Subudhi, Vinit Jakhetiya |
| 2023 | UCoL: Unsupervised Learning of Discriminative Facial Representations via Uncertainty-Aware Contrast. Hao Wang, Min Li, Yangyang Song, Youjian Zhang, Liying Chi |
| 2023 | UEQMS: UMAP Embedded Quick Mean Shift Algorithm for High Dimensional Clustering. Abhishek Kumar, Swagatam Das, Rammohan Mallipeddi |
| 2023 | USDNL: Uncertainty-Based Single Dropout in Noisy Label Learning. Yuanzhuo Xu, Xiaoguang Niu, Jie Yang, Steve Drew, Jiayu Zhou, Ruizhi Chen |
| 2023 | USER: Unsupervised Structural Entropy-Based Robust Graph Neural Network. Yifei Wang, Yupan Wang, Zeyu Zhang, Song Yang, Kaiqi Zhao, Jiamou Liu |
| 2023 | Ultra-High-Definition Low-Light Image Enhancement: A Benchmark and Transformer-Based Method. Tao Wang, Kaihao Zhang, Tianrun Shen, Wenhan Luo, Björn Stenger, Tong Lu |
| 2023 | Ultrafast Euclidean Shortest Path Computation Using Hub Labeling. Jinchun Du, Bojie Shen, Muhammad Aamir Cheema |
| 2023 | Unbalanced CO-optimal Transport. Quang Huy Tran, Hicham Janati, Nicolas Courty, Rémi Flamary, Ievgen Redko, Pinar Demetci, Ritambhara Singh |
| 2023 | Unbiased Heterogeneous Scene Graph Generation with Relation-Aware Message Passing Neural Network. Kanghoon Yoon, Kibum Kim, Jinyoung Moon, Chanyoung Park |
| 2023 | Uncertainty-Aware Image Captioning. Zhengcong Fei, Mingyuan Fan, Li Zhu, Junshi Huang, Xiaoming Wei, Xiaolin Wei |
| 2023 | Uncertainty-Aware Self-Training for Low-Resource Neural Sequence Labeling. Jianing Wang, Chengyu Wang, Jun Huang, Ming Gao, Aoying Zhou |
| 2023 | Understand Restart of SAT Solver Using Search Similarity Index (Student Abstract). Yoichiro Iida, Tomohiro Sonobe, Mary Inaba |
| 2023 | Understanding Representation Learnability of Nonlinear Self-Supervised Learning. Ruofeng Yang, Xiangyuan Li, Bo Jiang, Shuai Li |
| 2023 | Understanding and Enhancing Robustness of Concept-Based Models. Sanchit Sinha, Mengdi Huai, Jianhui Sun, Aidong Zhang |
| 2023 | Understanding the Generalization Performance of Spectral Clustering Algorithms. Shaojie Li, Sheng Ouyang, Yong Liu |
| 2023 | Underwater Ranker: Learn Which Is Better and How to Be Better. Chunle Guo, Ruiqi Wu, Xin Jin, Linghao Han, Weidong Zhang, Zhi Chai, Chongyi Li |
| 2023 | Unfooling Perturbation-Based Post Hoc Explainers. Zachariah Carmichael, Walter J. Scheirer |
| 2023 | UniSyn: An End-to-End Unified Model for Text-to-Speech and Singing Voice Synthesis. Yi Lei, Shan Yang, Xinsheng Wang, Qicong Xie, Jixun Yao, Lei Xie, Dan Su |
| 2023 | Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation. Yizhou Dang, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Xiaoxiao Xu, Qinghui Sun, Hong Liu |
| 2023 | Unifying Vision-Language Representation Space with Single-Tower Transformer. Jiho Jang, Chaerin Kong, Donghyeon Jeon, Seonhoon Kim, Nojun Kwak |
| 2023 | Universal Information Extraction as Unified Semantic Matching. Jie Lou, Yaojie Lu, Dai Dai, Wei Jia, Hongyu Lin, Xianpei Han, Le Sun, Hua Wu |
| 2023 | Universe Points Representation Learning for Partial Multi-Graph Matching. Zhakshylyk Nurlanov, Frank R. Schmidt, Florian Bernard |
| 2023 | Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning. Yunke Wang, Bo Du, Chang Xu |
| 2023 | Unsupervised Contrastive Representation Learning for 3D Mesh Segmentation (Student Abstract). Ayaan Haque, Hankyu Moon, Heng Hao, Sima Didari, Jae Oh Woo, Patrick Bangert |
| 2023 | Unsupervised Cross-Domain Rumor Detection with Contrastive Learning and Cross-Attention. Hongyan Ran, Caiyan Jia |
| 2023 | Unsupervised Deep Embedded Fusion Representation of Single-Cell Transcriptomics. Yue Cheng, Yanchi Su, Zhuohan Yu, Yanchun Liang, Ka-Chun Wong, Xiangtao Li |
| 2023 | Unsupervised Deep Learning for Phase Retrieval via Teacher-Student Distillation. Yuhui Quan, Zhile Chen, Tongyao Pang, Hui Ji |
| 2023 | Unsupervised Deep Video Denoising with Untrained Network. Huan Zheng, Tongyao Pang, Hui Ji |
| 2023 | Unsupervised Domain Adaptation for Medical Image Segmentation by Selective Entropy Constraints and Adaptive Semantic Alignment. Wei Feng, Lie Ju, Lin Wang, Kaimin Song, Xin Zhao, Zongyuan Ge |
| 2023 | Unsupervised Explanation Generation via Correct Instantiations. Sijie Cheng, Zhiyong Wu, Jiangjie Chen, Zhixing Li, Yang Liu, Lingpeng Kong |
| 2023 | Unsupervised Hierarchical Domain Adaptation for Adverse Weather Optical Flow. Hanyu Zhou, Yi Chang, Gang Chen, Luxin Yan |
| 2023 | Unsupervised Legal Evidence Retrieval via Contrastive Learning with Approximate Aggregated Positive. Feng Yao, Jingyuan Zhang, Yating Zhang, Xiaozhong Liu, Changlong Sun, Yun Liu, Weixing Shen |
| 2023 | Unsupervised Multi-Exposure Image Fusion Breaking Exposure Limits via Contrastive Learning. Han Xu, Liang Haochen, Jiayi Ma |
| 2023 | Unsupervised Paraphrasing under Syntax Knowledge. Tianyuan Liu, Yuqing Sun, JiaQi Wu, Xi Xu, Yuchen Han, Cheng Li, Bin Gong |
| 2023 | Untangled: A Complete Dynamic Topological Logic. David Fernández-Duque, Yoàv Montacute |
| 2023 | Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense. Yang Yu, Qi Liu, Likang Wu, Runlong Yu, Sanshi Lei Yu, Zaixi Zhang |
| 2023 | Unveiling the Black Box of PLMs with Semantic Anchors: Towards Interpretable Neural Semantic Parsing. Lunyiu Nie, Jiuding Sun, Yanlin Wang, Lun Du, Shi Han, Dongmei Zhang, Lei Hou, Juanzi Li, Jidong Zhai |
| 2023 | User-Controllable Arbitrary Style Transfer via Entropy Regularization. Jiaxin Cheng, Yue Wu, Ayush Jaiswal, Xu Zhang, Pradeep Natarajan, Prem Natarajan |
| 2023 | User-Oriented Robust Reinforcement Learning. Haoyi You, Beichen Yu, Haiming Jin, Zhaoxing Yang, Jiahui Sun |
| 2023 | Utility Maximizer or Value Maximizer: Mechanism Design for Mixed Bidders in Online Advertising. Hongtao Lv, Zhilin Zhang, Zhenzhe Zheng, Jinghan Liu, Chuan Yu, Lei Liu, Lizhen Cui, Fan Wu |
| 2023 | Utilizing Prior Solutions for Reward Shaping and Composition in Entropy-Regularized Reinforcement Learning. Jacob Adamczyk, Argenis Arriojas, Stas Tiomkin, Rahul V. Kulkarni |
| 2023 | VASR: Visual Analogies of Situation Recognition. Yonatan Bitton, Ron Yosef, Eliyahu Strugo, Dafna Shahaf, Roy Schwartz, Gabriel Stanovsky |
| 2023 | VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions. Mingjia Li, Binhui Xie, Shuang Li, Chi Harold Liu, Xinjing Cheng |
| 2023 | VIDM: Video Implicit Diffusion Models. Kangfu Mei, Vishal M. Patel |
| 2023 | VLTinT: Visual-Linguistic Transformer-in-Transformer for Coherent Video Paragraph Captioning. Kashu Yamazaki, Khoa Vo, Quang Sang Truong, Bhiksha Raj, Ngan Le |
| 2023 | Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning. Yang Yue, Bingyi Kang, Zhongwen Xu, Gao Huang, Shuicheng Yan |
| 2023 | Variable-Based Calibration for Machine Learning Classifiers. Markelle Kelly, Padhraic Smyth |
| 2023 | Variational Wasserstein Barycenters with C-cyclical Monotonicity Regularization. Jinjin Chi, Zhiyao Yang, Ximing Li, Jihong Ouyang, Renchu Guan |
| 2023 | Vector Causal Inference between Two Groups of Variables. Jonas Wahl, Urmi Ninad, Jakob Runge |
| 2023 | Very Fast, Approximate Counterfactual Explanations for Decision Forests. Miguel Á. Carreira-Perpiñán, Suryabhan Singh Hada |
| 2023 | Vessel-to-Vessel Motion Compensation with Reinforcement Learning. Sverre Herland, Kerstin Bach |
| 2023 | Video Compression Artifact Reduction by Fusing Motion Compensation and Global Context in a Swin-CNN Based Parallel Architecture. Xinjian Zhang, Su Yang, Wuyang Luo, Longwen Gao, Weishan Zhang |
| 2023 | Video Event Extraction via Tracking Visual States of Arguments. Guang Yang, Manling Li, Jiajie Zhang, Xudong Lin, Heng Ji, Shih-Fu Chang |
| 2023 | Video Object of Interest Segmentation. Siyuan Zhou, Chunru Zhan, Biao Wang, Tiezheng Ge, Yuning Jiang, Li Niu |
| 2023 | Video-Audio Domain Generalization via Confounder Disentanglement. Shengyu Zhang, Xusheng Feng, Wenyan Fan, Wenjing Fang, Fuli Feng, Wei Ji, Shuo Li, Li Wang, Shanshan Zhao, Zhou Zhao, Tat-Seng Chua, Fei Wu |
| 2023 | Video-Text Pre-training with Learned Regions for Retrieval. Rui Yan, Mike Zheng Shou, Yixiao Ge, Jinpeng Wang, Xudong Lin, Guanyu Cai, Jinhui Tang |
| 2023 | VideoDubber: Machine Translation with Speech-Aware Length Control for Video Dubbing. Yihan Wu, Junliang Guo, Xu Tan, Chen Zhang, Bohan Li, Ruihua Song, Lei He, Sheng Zhao, Arul Menezes, Jiang Bian |
| 2023 | Visually Grounded Commonsense Knowledge Acquisition. Yuan Yao, Tianyu Yu, Ao Zhang, Mengdi Li, Ruobing Xie, Cornelius Weber, Zhiyuan Liu, Hai-Tao Zheng, Stefan Wermter, Tat-Seng Chua, Maosong Sun |
| 2023 | Voting with Preference Intensities. Anson Kahng, Mohamad Latifian, Nisarg Shah |
| 2023 | WAT: Improve the Worst-Class Robustness in Adversarial Training. Boqi Li, Weiwei Liu |
| 2023 | WIERT: Web Information Extraction via Render Tree. Zimeng Li, Bo Shao, Linjun Shou, Ming Gong, Gen Li, Daxin Jiang |
| 2023 | WLD-Reg: A Data-Dependent Within-Layer Diversity Regularizer. Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj |
| 2023 | WSiP: Wave Superposition Inspired Pooling for Dynamic Interactions-Aware Trajectory Prediction. Renzhi Wang, Senzhang Wang, Hao Yan, Xiang Wang |
| 2023 | Walkability Optimization: Formulations, Algorithms, and a Case Study of Toronto. Weimin Huang, Elias B. Khalil |
| 2023 | Warm-Starting Nested Rollout Policy Adaptation with Optimal Stopping. Chen Dang, Cristina Bazgan, Tristan Cazenave, Morgan Chopin, Pierre-Henri Wuillemin |
| 2023 | Was Fixing This Really That Hard? On the Complexity of Correcting HTN Domains. Songtuan Lin, Pascal Bercher |
| 2023 | Wasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control. Amarildo Likmeta, Matteo Sacco, Alberto Maria Metelli, Marcello Restelli |
| 2023 | Wasserstein Graph Distance Based on L1-Approximated Tree Edit Distance between Weisfeiler-Lehman Subtrees. Zhongxi Fang, Jianming Huang, Xun Su, Hiroyuki Kasai |
| 2023 | WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series. Fuhao Yang, Xin Li, Min Wang, Hongyu Zang, Wei Pang, Mingzhong Wang |
| 2023 | Weakly Supervised 3D Multi-Person Pose Estimation for Large-Scale Scenes Based on Monocular Camera and Single LiDAR. Peishan Cong, Yiteng Xu, Yiming Ren, Juze Zhang, Lan Xu, Jingya Wang, Jingyi Yu, Yuexin Ma |
| 2023 | Weakly Supervised 3D Segmentation via Receptive-Driven Pseudo Label Consistency and Structural Consistency. Yuxiang Lan, Yachao Zhang, Yanyun Qu, Cong Wang, Chengyang Li, Jia Cai, Yuan Xie, Zongze Wu |
| 2023 | Weakly-Guided Self-Supervised Pretraining for Temporal Activity Detection. Kumara Kahatapitiya, Zhou Ren, Haoxiang Li, Zhenyu Wu, Michael S. Ryoo, Gang Hua |
| 2023 | Weakly-Supervised Camouflaged Object Detection with Scribble Annotations. Ruozhen He, Qihua Dong, Jiaying Lin, Rynson W. H. Lau |
| 2023 | Weakly-Supervised Semantic Segmentation for Histopathology Images Based on Dataset Synthesis and Feature Consistency Constraint. Zijie Fang, Yang Chen, Yifeng Wang, Zhi Wang, Xiangyang Ji, Yongbing Zhang |
| 2023 | Weather2vec: Representation Learning for Causal Inference with Non-local Confounding in Air Pollution and Climate Studies. Mauricio Tec, James G. Scott, Corwin M. Zigler |
| 2023 | Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data. Andrei Margeloiu, Nikola Simidjievski, Pietro Liò, Mateja Jamnik |
| 2023 | Weighted Policy Constraints for Offline Reinforcement Learning. Zhiyong Peng, Changlin Han, Yadong Liu, Zongtan Zhou |
| 2023 | What Do You MEME? Generating Explanations for Visual Semantic Role Labelling in Memes. Shivam Sharma, Siddhant Agarwal, Tharun Suresh, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty |
| 2023 | What Does Your Face Sound Like? 3D Face Shape towards Voice. Zhihan Yang, Zhiyong Wu, Ying Shan, Jia Jia |
| 2023 | When Congestion Games Meet Mobile Crowdsourcing: Selective Information Disclosure. Hongbo Li, Lingjie Duan |
| 2023 | When Neural Networks Fail to Generalize? A Model Sensitivity Perspective. Jiajin Zhang, Hanqing Chao, Amit Dhurandhar, Pin-Yu Chen, Ali Tajer, Yangyang Xu, Pingkun Yan |
| 2023 | When Online Learning Meets ODE: Learning without Forgetting on Variable Feature Space. Diyang Li, Bin Gu |
| 2023 | Where Will Players Move Next? Dynamic Graphs and Hierarchical Fusion for Movement Forecasting in Badminton. Kai-Shiang Chang, Wei-Yao Wang, Wen-Chih Peng |
| 2023 | Which Shortcut Solution Do Question Answering Models Prefer to Learn? Kazutoshi Shinoda, Saku Sugawara, Akiko Aizawa |
| 2023 | Why Capsule Neural Networks Do Not Scale: Challenging the Dynamic Parse-Tree Assumption. Matthias Mitterreiter, Marcel Koch, Joachim Giesen, Sören Laue |
| 2023 | Wiener Graph Deconvolutional Network Improves Graph Self-Supervised Learning. Jiashun Cheng, Man Li, Jia Li, Fugee Tsung |
| 2023 | Win-Win: A Privacy-Preserving Federated Framework for Dual-Target Cross-Domain Recommendation. Gaode Chen, Xinghua Zhang, Yijun Su, Yantong Lai, Ji Xiang, Junbo Zhang, Yu Zheng |
| 2023 | Winning the CityLearn Challenge: Adaptive Optimization with Evolutionary Search under Trajectory-Based Guidance. Vanshaj Khattar, Ming Jin |
| 2023 | XClusters: Explainability-First Clustering. Hyunseung Hwang, Steven Euijong Whang |
| 2023 | XRand: Differentially Private Defense against Explanation-Guided Attacks. Truc D. T. Nguyen, Phung Lai, Hai Phan, My T. Thai |
| 2023 | Xaitk-Saliency: An Open Source Explainable AI Toolkit for Saliency. Brian Hu, Paul Tunison, Brandon Richard Webster, Anthony Hoogs |
| 2023 | YOLOV: Making Still Image Object Detectors Great at Video Object Detection. Yuheng Shi, Naiyan Wang, Xiaojie Guo |
| 2023 | Yet Another Traffic Classifier: A Masked Autoencoder Based Traffic Transformer with Multi-Level Flow Representation. Ruijie Zhao, Mingwei Zhan, Xianwen Deng, Yanhao Wang, Yijun Wang, Guan Gui, Zhi Xue |
| 2023 | Zero-Cost Operation Scoring in Differentiable Architecture Search. Lichuan Xiang, Lukasz Dudziak, Mohamed S. Abdelfattah, Thomas C. P. Chau, Nicholas D. Lane, Hongkai Wen |
| 2023 | Zero-Knowledge Proofs for Classical Planning Problems. Augusto B. Corrêa, Clemens Büchner, Remo Christen |
| 2023 | Zero-Shot Assistance in Sequential Decision Problems. Sebastiaan De Peuter, Samuel Kaski |
| 2023 | Zero-Shot Cross-Lingual Event Argument Extraction with Language-Oriented Prefix-Tuning. Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao |
| 2023 | Zero-Shot Face-Based Voice Conversion: Bottleneck-Free Speech Disentanglement in the Real-World Scenario. Shao-En Weng, Hong-Han Shuai, Wen-Huang Cheng |
| 2023 | Zero-Shot Linear Combinations of Grounded Social Interactions with Linear Social MDPs. Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Bennett Stankovits, Dan Gutfreund, Joshua B. Tenenbaum, Boris Katz, Andrei Barbu |
| 2023 | Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning. Hongzhan Lin, Pengyao Yi, Jing Ma, Haiyun Jiang, Ziyang Luo, Shuming Shi, Ruifang Liu |
| 2023 | Zero-Shot Slot Filling with Slot-Prefix Prompting and Attention Relationship Descriptor. Qiaoyang Luo, Lingqiao Liu |
| 2023 | eCDANs: Efficient Temporal Causal Discovery from Autocorrelated and Non-stationary Data (Student Abstract). Muhammad Hasan Ferdous, Uzma Hasan, Md. Osman Gani |
| 2023 | eForecaster: Unifying Electricity Forecasting with Robust, Flexible, and Explainable Machine Learning Algorithms. Zhaoyang Zhu, Weiqi Chen, Rui Xia, Tian Zhou, Peisong Niu, Bingqing Peng, Wenwei Wang, Hengbo Liu, Ziqing Ma, Qingsong Wen, Liang Sun |
| 2023 | edBB-Demo: Biometrics and Behavior Analysis for Online Educational Platforms. Roberto Daza, Aythami Morales, Ruben Tolosana, Luis Felipe Gomez-Gomez, Julian Fiérrez, Javier Ortega-Garcia |
| 2023 | fmLRE: A Low-Resource Relation Extraction Model Based on Feature Mapping Similarity Calculation. Peng Wang, Tong Shao, Ke Ji, Guozheng Li, Wenjun Ke |
| 2023 | i-Code: An Integrative and Composable Multimodal Learning Framework. Ziyi Yang, Yuwei Fang, Chenguang Zhu, Reid Pryzant, Dongdong Chen, Yu Shi, Yichong Xu, Yao Qian, Mei Gao, Yi-ling Chen, Liyang Lu, Yujia Xie, Robert Gmyr, Noel Codella, Naoyuki Kanda, Bin Xiao, Lu Yuan, Takuya Yoshioka, Michael Zeng, Xuedong Huang |
| 2023 | nBIIG: A Neural BI Insights Generation System for Table Reporting. Yotam Perlitz, Dafna Sheinwald, Noam Slonim, Michal Shmueli-Scheuer |