| 2023 | 3D Surface Super-resolution from Enhanced 2D Normal Images: A Multimodal-driven Variational AutoEncoder Approach. Wuyuan Xie, Tengcong Huang, Miaohui Wang |
| 2023 | A Bitwise GAC Algorithm for Alldifferent Constraints. Zhe Li, Yaohua Wang, Zhanshan Li |
| 2023 | A Canonicalization-Enhanced Known Fact-Aware Framework For Open Knowledge Graph Link Prediction. Yilin Wang, Minghao Hu, Zhen Huang, Dongsheng Li, Wei Luo, Dong Yang, Xicheng Lu |
| 2023 | A Comparative Study of Ranking Formulas Based on Consistency. Badran Raddaoui, Christian Straßer, Saïd Jabbour |
| 2023 | A Computational Model of Ostrom's Institutional Analysis and Development Framework (Extended Abstract). Nieves Montes, Nardine Osman, Carles Sierra |
| 2023 | A Diffusion Model with Contrastive Learning for ICU False Arrhythmia Alarm Reduction. Feng Wu, Guoshuai Zhao, Xueming Qian, Li-Wei H. Lehman |
| 2023 | A Dual Semantic-Aware Recurrent Global-Adaptive Network for Vision-and-Language Navigation. Liuyi Wang, Zongtao He, Jiagui Tang, Ronghao Dang, Naijia Wang, Chengju Liu, Qijun Chen |
| 2023 | A False Sense of Security (Extended Abstract). Piero A. Bonatti |
| 2023 | A Fast Adaptive Randomized PCA Algorithm. Xu Feng, Wenjian Yu |
| 2023 | A Fast Algorithm for Consistency Checking Partially Ordered Time. Leif Eriksson, Victor Lagerkvist |
| 2023 | A Fast Maximum k-Plex Algorithm Parameterized by the Degeneracy Gap. Zhengren Wang, Yi Zhou, Chunyu Luo, Mingyu Xiao |
| 2023 | A Framework for Participatory Budgeting with Resource Pooling. Jeremy Vollen |
| 2023 | A Generalized Deep Markov Random Fields Framework for Fake News Detection. Yiqi Dong, Dongxiao He, Xiaobao Wang, Yawen Li, Xiaowen Su, Di Jin |
| 2023 | A Hierarchical Approach to Population Training for Human-AI Collaboration. Yi Loo, Chen Gong, Malika Meghjani |
| 2023 | A Human-in-the-Loop Tool for Annotating Passive Acoustic Monitoring Datasets. Hannes Kath, Thiago S. Gouvêa, Daniel Sonntag |
| 2023 | A Large-Scale Film Style Dataset for Learning Multi-frequency Driven Film Enhancement. Zinuo Li, Xuhang Chen, Shuqiang Wang, Chi-Man Pun |
| 2023 | A Logic-based Approach to Contrastive Explainability for Neurosymbolic Visual Question Answering. Thomas Eiter, Tobias Geibinger, Nelson Higuera, Johannes Oetsch |
| 2023 | A Logic-based Explanation Generation Framework for Classical and Hybrid Planning Problems (Extended Abstract). Stylianos Loukas Vasileiou, William Yeoh, Son Tran, Ashwin Kumar, Michael Cashmore, Daniele Magazzeni |
| 2023 | A Low Latency Adaptive Coding Spike Framework for Deep Reinforcement Learning. Lang Qin, Rui Yan, Huajin Tang |
| 2023 | A Mathematical Runtime Analysis of the Non-dominated Sorting Genetic Algorithm III (NSGA-III). Simon Wietheger, Benjamin Doerr |
| 2023 | A Multi-Modal Neural Geometric Solver with Textual Clauses Parsed from Diagram. Ming-Liang Zhang, Fei Yin, Cheng-Lin Liu |
| 2023 | A New ANN-SNN Conversion Method with High Accuracy, Low Latency and Good Robustness. Bingsen Wang, Jian Cao, Jue Chen, Shuo Feng, Yuan Wang |
| 2023 | A New Variable Ordering for In-processing Bounded Variable Elimination in SAT Solvers. Shuolin Li, Chu-Min Li, Mao Luo, Jordi Coll, Djamal Habet, Felip Manyà |
| 2023 | A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification. Mingcai Chen, Yu Zhao, Zhonghuang Wang, Bing He, Jianhua Yao |
| 2023 | A Novel Demand Response Model and Method for Peak Reduction in Smart Grids - PowerTAC. Sanjay Chandlekar, Shweta Jain, Sujit Gujar |
| 2023 | A Novel Learnable Interpolation Approach for Scale-Arbitrary Image Super-Resolution. Jiahao Chao, Zhou Zhou, Hongfan Gao, Jiali Gong, Zhenbing Zeng, Zhengfeng Yang |
| 2023 | A Pathway Towards Responsible AI Generated Content. Lingjuan Lyu |
| 2023 | A Prediction-and-Scheduling Framework for Efficient Order Transfer in Logistics. Wenjun Lyu, Haotian Wang, Yiwei Song, Yunhuai Liu, Tian He, Desheng Zhang |
| 2023 | A Quantitative Game-theoretical Study on Externalities of Long-lasting Humanitarian Relief Operations in Conflict Areas. Kaiming Xiao, Haiwen Chen, Hongbin Huang, Lihua Liu, Jibing Wu |
| 2023 | A Refined Upper Bound and Inprocessing for the Maximum K-plex Problem. Hua Jiang, Fusheng Xu, Zhifei Zheng, Bowen Wang, Wei Zhou |
| 2023 | A Regular Matching Constraint for String Variables. Roberto Amadini, Peter J. Stuckey |
| 2023 | A Rigorous Risk-aware Linear Approach to Extended Markov Ratio Decision Processes with Embedded Learning. Alexander Zadorojniy, Takayuki Osogami, Orit Davidovich |
| 2023 | A Rule-Based Modal View of Causal Reasoning. Emiliano Lorini |
| 2023 | A Solution to Co-occurence Bias: Attributes Disentanglement via Mutual Information Minimization for Pedestrian Attribute Recognition. Yibo Zhou, Hai-Miao Hu, Jinzuo Yu, Zhenbo Xu, Weiqing Lu, Yuran Cao |
| 2023 | A Survey of Federated Evaluation in Federated Learning. Behnaz Soltani, Yipeng Zhou, Venus Haghighi, John C. S. Lui |
| 2023 | A Survey of Methods for Automated Algorithm Configuration (Extended Abstract). Elias Schede, Jasmin Brandt, Alexander Tornede, Marcel Wever, Viktor Bengs, Eyke Hüllermeier, Kevin Tierney |
| 2023 | A Survey on Dataset Distillation: Approaches, Applications and Future Directions. Jiahui Geng, Zongxiong Chen, Yuandou Wang, Herbert Woisetschlaeger, Sonja Schimmler, Ruben Mayer, Zhiming Zhao, Chunming Rong |
| 2023 | A Survey on Efficient Training of Transformers. Bohan Zhuang, Jing Liu, Zizheng Pan, Haoyu He, Yuetian Weng, Chunhua Shen |
| 2023 | A Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challenges. Usman Gohar, Lu Cheng |
| 2023 | A Survey on Masked Autoencoder for Visual Self-supervised Learning. Chaoning Zhang, Chenshuang Zhang, Junha Song, John Seon Keun Yi, In So Kweon |
| 2023 | A Survey on Out-of-Distribution Evaluation of Neural NLP Models. Xinzhe Li, Ming Liu, Shang Gao, Wray L. Buntine |
| 2023 | A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospects. Yang Deng, Wenqiang Lei, Wai Lam, Tat-Seng Chua |
| 2023 | A Survey on User Behavior Modeling in Recommender Systems. Zhicheng He, Weiwen Liu, Wei Guo, Jiarui Qin, Yingxue Zhang, Yaochen Hu, Ruiming Tang |
| 2023 | A Symbolic Approach to Computing Disjunctive Association Rules from Data. Saïd Jabbour, Badran Raddaoui, Lakhdar Sais |
| 2023 | A Systematic Survey of Chemical Pre-trained Models. Jun Xia, Yanqiao Zhu, Yuanqi Du, Stan Z. Li |
| 2023 | A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks. Mehrdad Khatir, Nurendra Choudhary, Sutanay Choudhury, Khushbu Agarwal, Chandan K. Reddy |
| 2023 | A Unified View of Deep Learning for Reaction and Retrosynthesis Prediction: Current Status and Future Challenges. Ziqiao Meng, Peilin Zhao, Yang Yu, Irwin King |
| 2023 | A Unifying Formal Approach to Importance Values in Boolean Functions. Hans Harder, Simon Jantsch, Christel Baier, Clemens Dubslaff |
| 2023 | AI Planning for Hybrid Systems. Enrico Scala |
| 2023 | AI Techniques for Urban Traffic Control and Mobility. Saumya Bhatnagar |
| 2023 | AI and Decision Support for Sustainable Socio-Ecosystems. Dimitri Justeau-Allaire |
| 2023 | AI-Assisted Tool for Early Diagnosis and Prevention of Colorectal Cancer in Africa. Bushra Ibnauf, Mohammed Aboul Ezz, Ayman Abdel Aziz, Khalid Elgazzar, Mennatullah Siam |
| 2023 | AI-Driven Sign Language Interpretation for Nigerian Children at Home. Ifeoma Nwogu, Roshan L. Peiris, Karthik Dantu, Ruchi Gamta, Emma Asonye |
| 2023 | ALL-E: Aesthetics-guided Low-light Image Enhancement. Ling Li, Dong Liang, Yuanhang Gao, Sheng-Jun Huang, Songcan Chen |
| 2023 | APR: Online Distant Point Cloud Registration through Aggregated Point Cloud Reconstruction. Quan Liu, Yunsong Zhou, Hongzi Zhu, Shan Chang, Minyi Guo |
| 2023 | Abstraction of Nondeterministic Situation Calculus Action Theories. Bita Banihashemi, Giuseppe De Giacomo, Yves Lespérance |
| 2023 | Accurate MRI Reconstruction via Multi-Domain Recurrent Networks. Jinbao Wei, Zhijie Wang, Kongqiao Wang, Li Guo, Xueyang Fu, Ji Liu, Xun Chen |
| 2023 | Acoustic NLOS Imaging with Cross Modal Knowledge Distillation. Ui-Hyeon Shin, Seungwoo Jang, Kwangsu Kim |
| 2023 | ActUp: Analyzing and Consolidating tSNE and UMAP. Andrew Draganov, Jakob Rødsgaard Jørgensen, Katrine Scheel, Davide Mottin, Ira Assent, Tyrus Berry, Çigdem Aslay |
| 2023 | Action Recognition with Multi-stream Motion Modeling and Mutual Information Maximization. Yuheng Yang, Haipeng Chen, Zhenguang Liu, Yingda Lyu, Beibei Zhang, Shuang Wu, Zhibo Wang, Kui Ren |
| 2023 | Action Space Reduction for Planning Domains. Harsha Kokel, Junkyu Lee, Michael Katz, Kavitha Srinivas, Shirin Sohrabi |
| 2023 | Active Visual Exploration Based on Attention-Map Entropy. Adam Pardyl, Grzegorz Rypesc, Grzegorz Kurzejamski, Bartosz Zielinski, Tomasz Trzcinski |
| 2023 | Actor-Multi-Scale Context Bidirectional Higher Order Interactive Relation Network for Spatial-Temporal Action Localization. Jun Yu, Yingshuai Zheng, Shulan Ruan, Qi Liu, Zhiyuan Cheng, Jinze Wu |
| 2023 | Adaptive Estimation Q-learning with Uncertainty and Familiarity. Xiaoyu Gong, Shuai Lü, Jiayu Yu, Sheng Zhu, Zongze Li |
| 2023 | Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning. Hao Dong, Zhiyuan Ning, Pengyang Wang, Ziyue Qiao, Pengfei Wang, Yuanchun Zhou, Yanjie Fu |
| 2023 | Adaptive Reward Shifting Based on Behavior Proximity for Offline Reinforcement Learning. Zhe Zhang, Xiaoyang Tan |
| 2023 | Adaptive Sparse ViT: Towards Learnable Adaptive Token Pruning by Fully Exploiting Self-Attention. Xiangcheng Liu, Tianyi Wu, Guodong Guo |
| 2023 | Addressing Weak Decision Boundaries in Image Classification by Leveraging Web Search and Generative Models. Preetam Prabhu Srikar Dammu, Yunhe Feng, Chirag Shah |
| 2023 | Advancing Post-Hoc Case-Based Explanation with Feature Highlighting. Eoin M. Kenny, Eoin Delaney, Mark T. Keane |
| 2023 | Adversarial Amendment is the Only Force Capable of Transforming an Enemy into a Friend. Chong Yu, Tao Chen, Zhongxue Gan |
| 2023 | Adversarial Behavior Exclusion for Safe Reinforcement Learning. Md Asifur Rahman, Tongtong Liu, Sarra M. Alqahtani |
| 2023 | Adversarial Contention Resolution Games. Giorgos Chionas, Bogdan S. Chlebus, Dariusz R. Kowalski, Piotr Krysta |
| 2023 | Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features (Extended Abstract). Taha Belkhouja, Janardhan Rao Doppa |
| 2023 | Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge (Extended Abstract). Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani |
| 2023 | Algorithmic Motion Planning Meets Minimially-Invasive Robotic Surgery. Oren Salzman |
| 2023 | Algorithmics of Egalitarian versus Equitable Sequences of Committees. Eva Michelle Deltl, Till Fluschnik, Robert Bredereck |
| 2023 | Align, Perturb and Decouple: Toward Better Leverage of Difference Information for RSI Change Detection. Supeng Wang, Yuxi Li, Ming Xie, Mingmin Chi, Yabiao Wang, Chengjie Wang, Wenbing Zhu |
| 2023 | An Effective and Efficient Time-aware Entity Alignment Framework via Two-aspect Three-view Label Propagation. Li Cai, Xin Mao, Youshao Xiao, Changxu Wu, Man Lan |
| 2023 | An Empirical Study on the Language Modal in Visual Question Answering. Daowan Peng, Wei Wei, Xian-Ling Mao, Yuanyuan Fu, Dangyang Chen |
| 2023 | An Ensemble Approach for Automated Theorem Proving Based on Efficient Name Invariant Graph Neural Representations. Achille Fokoue, Ibrahim Abdelaziz, Maxwell Crouse, Shajith Ikbal, Akihiro Kishimoto, Guilherme Lima, Ndivhuwo Makondo, Radu Marinescu |
| 2023 | An Exact Algorithm for the Minimum Dominating Set Problem. Hua Jiang, Zhifei Zheng |
| 2023 | An Experimental Comparison of Multiwinner Voting Rules on Approval Elections. Piotr Faliszewski, Martin Lackner, Krzysztof Sornat, Stanislaw Szufa |
| 2023 | Analyzing Intentional Behavior in Autonomous Agents under Uncertainty. Filip Cano Córdoba, Samuel Judson, Timos Antonopoulos, Katrine Bjørner, Nicholas Shoemaker, Scott J. Shapiro, Ruzica Piskac, Bettina Könighofer |
| 2023 | Analyzing and Combating Attribute Bias for Face Restoration. Zelin Li, Dan Zeng, Xiao Yan, Qiaomu Shen, Bo Tang |
| 2023 | Annealing Genetic-based Preposition Substitution for Text Rubbish Example Generation. Chen Li, Xinghao Yang, Baodi Liu, Weifeng Liu, Honglong Chen |
| 2023 | Answer Mining from a Pool of Images: Towards Retrieval-Based Visual Question Answering. Abhirama Subramanyam Penamakuri, Manish Gupta, Mithun Das Gupta, Anand Mishra |
| 2023 | Anti-unification and Generalization: A Survey. David M. Cerna, Temur Kutsia |
| 2023 | Anticipatory Fictitious Play. Alex Cloud, Albert Wang, Wesley Kerr |
| 2023 | Appearance Prompt Vision Transformer for Connectome Reconstruction. Rui Sun, Naisong Luo, Yuwen Pan, Huayu Mai, Tianzhu Zhang, Zhiwei Xiong, Feng Wu |
| 2023 | Approximate Envy-Freeness in Graphical Cake Cutting. Sheung Man Yuen, Warut Suksompong |
| 2023 | Approximate Inference in Logical Credal Networks. Radu Marinescu, Haifeng Qian, Alexander G. Gray, Debarun Bhattacharjya, Francisco Barahona, Tian Gao, Ryan Riegel |
| 2023 | Approximating Fair Division on D-Claw-Free Graphs. Zbigniew Lonc |
| 2023 | Argumentation for Interactive Causal Discovery. Fabrizio Russo |
| 2023 | Artificial Agents Inspired by Human Motivation Psychology for Teamwork in Hazardous Environments. Anupama Arukgoda, Erandi Lakshika, Michael Barlow, Kasun Gunawardana |
| 2023 | Artificial Intelligence, Bias, and Ethics. Aylin Caliskan |
| 2023 | Assessing and Enforcing Fairness in the AI Lifecycle. Roberta Calegari, Gabriel G. Castañé, Michela Milano, Barry O'Sullivan |
| 2023 | Asynchronous Communication Aware Multi-Agent Task Allocation. Ben Rachmut, Sofia Amador Nelke, Roie Zivan |
| 2023 | AudioQR: Deep Neural Audio Watermarks For QR Code. Xinghua Qu, Xiang Yin, Pengfei Wei, Lu Lu, Zejun Ma |
| 2023 | Augmenting Automated Spectrum Based Fault Localization for Multiple Faults. Prantik Chatterjee, José Campos, Rui Abreu, Subhajit Roy |
| 2023 | Auto-bidding with Budget and ROI Constrained Buyers. Xiaodong Liu, Weiran Shen |
| 2023 | AutoML for Outlier Detection with Optimal Transport Distances. Prabhant Singh, Joaquin Vanschoren |
| 2023 | Automated Content Moderation Using Transparent Solutions and Linguistic Expertise. Veronika Solopova |
| 2023 | Automated Planning for Generating and Simulating Traffic Signal Strategies. Saumya Bhatnagar, Rongge Guo, Keith McCabe, Thomas L. McCluskey, Francesco Percassi, Mauro Vallati |
| 2023 | Automatic Recognition of the General-Purpose Communicative Functions Defined by the ISO 24617-2 Standard for Dialog Act Annotation (Extended Abstract). Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos |
| 2023 | Automatic Truss Design with Reinforcement Learning. Weihua Du, Jinglun Zhao, Chao Yu, Xingcheng Yao, Zimeng Song, Siyang Wu, Ruifeng Luo, Zhiyuan Liu, Xianzhong Zhao, Yi Wu |
| 2023 | Automatic Verification for Soundness of Bounded QNP Abstractions for Generalized Planning. Zhenhe Cui, Weidu Kuang, Yongmei Liu |
| 2023 | Automating Rigid Origami Design. Jeremia Geiger, Karolis Martinkus, Oliver Richter, Roger Wattenhofer |
| 2023 | Autonomous Exploration for Navigating in MDPs Using Blackbox RL Algorithms. Pratik Gajane, Peter Auer, Ronald Ortner |
| 2023 | BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation in Cross-Silo Federated Learning. Yunchao Yang, Yipeng Zhou, Miao Hu, Di Wu, Quan Z. Sheng |
| 2023 | BPNet: Bézier Primitive Segmentation on 3D Point Clouds. Rao Fu, Cheng Wen, Qian Li, Xiao Xiao, Pierre Alliez |
| 2023 | BRExIt: On Opponent Modelling in Expert Iteration. Daniel Hernandez, Hendrik Baier, Michael Kaisers |
| 2023 | Backpropagation of Unrolled Solvers with Folded Optimization. James Kotary, My H. Dinh, Ferdinando Fioretto |
| 2023 | Balancing Social Impact, Opportunities, and Ethical Constraints of Using AI in the Documentation and Vitalization of Indigenous Languages. Claudio S. Pinhanez, Paulo R. Cavalin, Marisa Vasconcelos, Julio Nogima |
| 2023 | Basket Representation Learning by Hypergraph Convolution on Repeated Items for Next-basket Recommendation. Yalin Yu, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang |
| 2023 | Bayesian Optimization with Switching Cost: Regret Analysis and Lookahead Variants. Peng Liu, Haowei Wang, Wei Qiyu |
| 2023 | Benchmarking eXplainable AI - A Survey on Available Toolkits and Open Challenges. Phuong Quynh Le, Meike Nauta, Van Bach Nguyen, Shreyasi Pathak, Jörg Schlötterer, Christin Seifert |
| 2023 | Beyond Homophily: Robust Graph Anomaly Detection via Neural Sparsification. Zheng Gong, Guifeng Wang, Ying Sun, Qi Liu, Yuting Ning, Hui Xiong, Jingyu Peng |
| 2023 | Beyond Pure Text: Summarizing Financial Reports Based on Both Textual and Tabular Data. Ziao Wang, Zelin Jiang, Xiaofeng Zhang, Jaehyeon Soon, Jialu Zhang, Wang Xiaoyao, Hongwei Du |
| 2023 | Beyond Strict Competition: Approximate Convergence of Multi-agent Q-Learning Dynamics. Aamal Abbas Hussain, Francesco Belardinelli, Georgios Piliouras |
| 2023 | Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and Beyond. Zhu Liu, Jinyuan Liu, Guanyao Wu, Long Ma, Xin Fan, Risheng Liu |
| 2023 | Bias On Demand: Investigating Bias with a Synthetic Data Generator. Joachim Baumann, Alessandro Castelnovo, Andrea Cosentini, Riccardo Crupi, Nicole Inverardi, Daniele Regoli |
| 2023 | Bidirectional Dilation Transformer for Multispectral and Hyperspectral Image Fusion. Shangqi Deng, Liang-Jian Deng, Xiao Wu, Ran Ran, Rui Wen |
| 2023 | Bipolar Abstract Dialectical Frameworks Are Covered by Kleene's Three-valued Logic. Ringo Baumann, Maximilian Heinrich |
| 2023 | Black-Box Data Poisoning Attacks on Crowdsourcing. Pengpeng Chen, Yongqiang Yang, Dingqi Yang, Hailong Sun, Zhijun Chen, Peng Lin |
| 2023 | Black-box Prompt Tuning for Vision-Language Model as a Service. Lang Yu, Qin Chen, Jiaju Lin, Liang He |
| 2023 | Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors. Han Liu, Xingshuo Huang, Xiaotong Zhang, Qimai Li, Fenglong Ma, Wei Wang, Hongyang Chen, Hong Yu, Xianchao Zhang |
| 2023 | Boosting Few-Shot Open-Set Recognition with Multi-Relation Margin Loss. Yongjuan Che, Yuexuan An, Hui Xue |
| 2023 | Bounding the Family-Wise Error Rate in Local Causal Discovery Using Rademacher Averages (Extended Abstract). Dario Simionato, Fabio Vandin |
| 2023 | Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size. Kuruge Darshana Abeyrathna, Ahmed Abdulrahem Othman Abouzeid, Bimal Bhattarai, Charul Giri, Sondre Glimsdal, Ole-Christoffer Granmo, Lei Jiao, Rupsa Saha, Jivitesh Sharma, Svein Anders Tunheim, Xuan Zhang |
| 2023 | Building a Personalized Messaging System for Health Intervention in Underprivileged Regions Using Reinforcement Learning. Sarah Eve Kinsey, Jack Wolf, Nalini Saligram, Varun Ramesan, Meeta Walavalkar, Nidhi Jaswal, Sandhya Ramalingam, Arunesh Sinha, Thanh Hong Nguyen |
| 2023 | CADParser: A Learning Approach of Sequence Modeling for B-Rep CAD. Shengdi Zhou, Tianyi Tang, Bin Zhou |
| 2023 | CGS: Coupled Growth and Survival Model with Cohort Fairness. Erhu He, Yue Wan, Benjamin H. Letcher, Jennifer H. Fair, Yiqun Xie, Xiaowei Jia |
| 2023 | CLE-ViT: Contrastive Learning Encoded Transformer for Ultra-Fine-Grained Visual Categorization. Xiaohan Yu, Jun Wang, Yongsheng Gao |
| 2023 | CONGREGATE: Contrastive Graph Clustering in Curvature Spaces. Li Sun, Feiyang Wang, Junda Ye, Hao Peng, Philip S. Yu |
| 2023 | COOL, a Context Outlooker, and Its Application to Question Answering and Other Natural Language Processing Tasks. Fangyi Zhu, See-Kiong Ng, Stéphane Bressan |
| 2023 | CROP: Towards Distributional-Shift Robust Reinforcement Learning Using Compact Reshaped Observation Processing. Philipp Altmann, Fabian Ritz, Leonard Feuchtinger, Jonas Nüßlein, Claudia Linnhoff-Popien, Thomy Phan |
| 2023 | CSGCL: Community-Strength-Enhanced Graph Contrastive Learning. Han Chen, Ziwen Zhao, Yuhua Li, Yixiong Zou, Ruixuan Li, Rui Zhang |
| 2023 | CTW: Confident Time-Warping for Time-Series Label-Noise Learning. Peitian Ma, Zhen Liu, Junhao Zheng, Linghao Wang, Qianli Ma |
| 2023 | CVTP3D: Cross-view Trajectory Prediction Using Shared 3D Queries for Autonomous Driving. Zijian Song, Huikun Bi, Ruisi Zhang, Tianlu Mao, Zhaoqi Wang |
| 2023 | Calibrating a Deep Neural Network with Its Predecessors. Linwei Tao, Minjing Dong, Daochang Liu, Changming Sun, Chang Xu |
| 2023 | Can I Really Do That? Verification of Meta-Operators via Stackelberg Planning. Florian Pham, Álvaro Torralba |
| 2023 | Can You Improve My Code? Optimizing Programs with Local Search. Fatemeh Abdollahi, Saqib Ameen, Matthew E. Taylor, Levi H. S. Lelis |
| 2023 | Capturing the Long-Distance Dependency in the Control Flow Graph via Structural-Guided Attention for Bug Localization. Yi-Fan Ma, Yali Du, Ming Li |
| 2023 | Cardinality-Minimal Explanations for Monotonic Neural Networks. Ouns El Harzli, Bernardo Cuenca Grau, Ian Horrocks |
| 2023 | Case-Based Reasoning with Language Models for Classification of Logical Fallacies. Zhivar Sourati, Filip Ilievski, Hông-Ân Sandlin, Alain Mermoud |
| 2023 | Causal Deep Reinforcement Learning Using Observational Data. Wenxuan Zhu, Chao Yu, Qiang Zhang |
| 2023 | Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention. Hongjun Wang, Jiyuan Chen, Lun Du, Qiang Fu, Shi Han, Xuan Song |
| 2023 | Certified CNF Translations for Pseudo-Boolean Solving (Extended Abstract). Stephan Gocht, Ruben Martins, Jakob Nordström, Andy Oertel |
| 2023 | Character As Pixels: A Controllable Prompt Adversarial Attacking Framework for Black-Box Text Guided Image Generation Models. Ziyi Kou, Shichao Pei, Yijun Tian, Xiangliang Zhang |
| 2023 | Choose your Data Wisely: A Framework for Semantic Counterfactuals. Edmund Dervakos, Konstantinos Thomas, Giorgos Filandrianos, Giorgos Stamou |
| 2023 | Choosing Well Your Opponents: How to Guide the Synthesis of Programmatic Strategies. Rubens O. Moraes, David S. Aleixo, Lucas N. Ferreira, Levi H. S. Lelis |
| 2023 | CiT-Net: Convolutional Neural Networks Hand in Hand with Vision Transformers for Medical Image Segmentation. Tao Lei, Rui Sun, Xuan Wang, Yingbo Wang, Xi He, Asoke K. Nandi |
| 2023 | Clustered-patch Element Connection for Few-shot Learning. Jinxiang Lai, Siqian Yang, Junhong Zhou, Wenlong Wu, Xiaochen Chen, Jun Liu, Bin-Bin Gao, Chengjie Wang |
| 2023 | Co-Certificate Learning with SAT Modulo Symmetries. Markus Kirchweger, Tomás Peitl, Stefan Szeider |
| 2023 | Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation. Zhiqiang Shen, Peng Cao, Hua Yang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane |
| 2023 | Cognitively Inspired Learning of Incremental Drifting Concepts. Mohammad Rostami, Aram Galstyan |
| 2023 | Collaborative Neural Rendering Using Anime Character Sheets. Zuzeng Lin, Ailin Huang, Zhewei Huang |
| 2023 | Commonsense Knowledge Enhanced Sentiment Dependency Graph for Sarcasm Detection. Zhe Yu, Di Jin, Xiaobao Wang, Yawen Li, Longbiao Wang, Jianwu Dang |
| 2023 | Communication-Efficient Stochastic Gradient Descent Ascent with Momentum Algorithms. Yihan Zhang, Meikang Qiu, Hongchang Gao |
| 2023 | Competitive-Cooperative Multi-Agent Reinforcement Learning for Auction-based Federated Learning. Xiaoli Tang, Han Yu |
| 2023 | Complete Instances Mining for Weakly Supervised Instance Segmentation. Zecheng Li, Zening Zeng, Yuqi Liang, Jin-Gang Yu |
| 2023 | Complex Contagion Influence Maximization: A Reinforcement Learning Approach. Haipeng Chen, Bryan Wilder, Wei Qiu, Bo An, Eric Rice, Milind Tambe |
| 2023 | Complexity Results and Exact Algorithms for Fair Division of Indivisible Items: A Survey. Trung Thanh Nguyen, Jörg Rothe |
| 2023 | Complexity of Efficient Outcomes in Binary-Action Polymatrix Games and Implications for Coordination Problems. Argyrios Deligkas, Eduard Eiben, Gregory Z. Gutin, Philip R. Neary, Anders Yeo |
| 2023 | Compositional Zero-Shot Artistic Font Synthesis. Xiang Li, Lei Wu, Changshuo Wang, Lei Meng, Xiangxu Meng |
| 2023 | Computationally Assisted Quality Control for Public Health Data Streams. Ananya Joshi, Kathryn Mazaitis, Roni Rosenfeld, Bryan Wilder |
| 2023 | Computing (1+epsilon)-Approximate Degeneracy in Sublinear Time. Valerie King, Alex Thomo, Quinton Yong |
| 2023 | Computing Abductive Explanations for Boosted Regression Trees. Gilles Audemard, Steve Bellart, Jean-Marie Lagniez, Pierre Marquis |
| 2023 | Computing Twin-width with SAT and Branch & Bound. André Schidler, Stefan Szeider |
| 2023 | Confidence-based Self-Corrective Learning: An Application in Height Estimation Using Satellite LiDAR and Imagery. Zhili Li, Yiqun Xie, Xiaowei Jia |
| 2023 | Conjure: Automatic Generation of Constraint Models from Problem Specifications (Extended Abstract). Özgür Akgün, Alan M. Frisch, Ian P. Gent, Christopher Jefferson, Ian Miguel, Peter Nightingale |
| 2023 | Constraint Solving Approaches to the Business-to-Business Meeting Scheduling Problem (Extended Abstract). Miquel Bofill, Jordi Coll, Marc Garcia, Jesús Giráldez-Cru, Gilles Pesant, Josep Suy, Mateu Villaret |
| 2023 | Constraints First: A New MDD-based Model to Generate Sentences Under Constraints. Alexandre Bonlarron, Aurélie Calabrèse, Pierre Kornprobst, Jean-Charles Régin |
| 2023 | Contact2Grasp: 3D Grasp Synthesis via Hand-Object Contact Constraint. Haoming Li, Xinzhuo Lin, Yang Zhou, Xiang Li, Yuchi Huo, Jiming Chen, Qi Ye |
| 2023 | Context-Aware Feature Selection and Classification. Juanyan Wang, Mustafa Bilgic |
| 2023 | Continuous-Time Graph Learning for Cascade Popularity Prediction. Xiaodong Lu, Shuo Ji, Le Yu, Leilei Sun, Bowen Du, Tongyu Zhu |
| 2023 | Contour-based Interactive Segmentation. Polina Popenova, Danil Galeev, Anna Vorontsova, Anton Konushin |
| 2023 | ContrastMotion: Self-supervised Scene Motion Learning for Large-Scale LiDAR Point Clouds. Xiangze Jia, Hui Zhou, Xinge Zhu, Yandong Guo, Ji Zhang, Yuexin Ma |
| 2023 | Contrastive Label Enhancement. Yifei Wang, Yiyang Zhou, Jihua Zhu, Xinyuan Liu, Wenbiao Yan, Zhiqiang Tian |
| 2023 | Contrastive Learning and Reward Smoothing for Deep Portfolio Management. Yun-Hsuan Lien, Yuan-kui Li, Yu-Shuen Wang |
| 2023 | Contrastive Learning for Sign Language Recognition and Translation. Shiwei Gan, Yafeng Yin, Zhiwei Jiang, Kang Xia, Lei Xie, Sanglu Lu |
| 2023 | Controlling Neural Style Transfer with Deep Reinforcement Learning. Chengming Feng, Jing Hu, Xin Wang, Shu Hu, Bin Zhu, Xi Wu, Hongtu Zhu, Siwei Lyu |
| 2023 | Convergence in Multi-Issue Iterative Voting under Uncertainty. Joshua Kavner, Reshef Meir, Francesca Rossi, Lirong Xia |
| 2023 | Core Challenges in Embodied Vision-Language Planning (Extended Abstract). Jonathan Francis, Nariaki Kitamura, Felix Labelle, Xiaopeng Lu, Ingrid Navarro, Jean Oh |
| 2023 | Cost-effective Artificial Neural Networks. Zahra Atashgahi |
| 2023 | CostFormer: Cost Transformer for Cost Aggregation in Multi-view Stereo. Weitao Chen, Hongbin Xu, Zhipeng Zhou, Yang Liu, Baigui Sun, Wenxiong Kang, Xuansong Xie |
| 2023 | Counting and Sampling Models in First-Order Logic. Ondrej Kuzelka |
| 2023 | Coupled Point Process-based Sequence Modeling for Privacy-preserving Network Alignment. Dixin Luo, Haoran Cheng, Qingbin Li, Hongteng Xu |
| 2023 | Creative Problem Solving in Artificially Intelligent Agents: A Survey and Framework (Extended Abstract). Evana Gizzi, Lakshmi Nair, Sonia Chernova, Jivko Sinapov |
| 2023 | Cross-Domain Facial Expression Recognition via Disentangling Identity Representation. Tong Liu, Jing Li, Jia Wu, Lefei Zhang, Shanshan Zhao, Jun Chang, Jun Wan |
| 2023 | Cross-Modal Global Interaction and Local Alignment for Audio-Visual Speech Recognition. Yuchen Hu, Ruizhe Li, Chen Chen, Heqing Zou, Qiushi Zhu, Eng Siong Chng |
| 2023 | Cross-community Adapter Learning (CAL) to Understand the Evolving Meanings of Norm Violation. Thiago Freitas dos Santos, Stephen Cranefield, Bastin Tony Roy Savarimuthu, Nardine Osman, Marco Schorlemmer |
| 2023 | Curriculum Graph Machine Learning: A Survey. Haoyang Li, Xin Wang, Wenwu Zhu |
| 2023 | Curriculum Multi-Level Learning for Imbalanced Live-Stream Recommendation. Shuodian Yu, Junqi Jin, Li Ma, Xiaofeng Gao, Xiaopeng Wu, Haiyang Xu, Jian Xu |
| 2023 | Customized Positional Encoding to Combine Static and Time-varying Data in Robust Representation Learning for Crop Yield Prediction. Qinqing Liu, Fei Dou, Meijian Yang, Ezana Amdework, Guiling Wang, Jinbo Bi |
| 2023 | DAMO-StreamNet: Optimizing Streaming Perception in Autonomous Driving. Jun-Yan He, Zhi-Qi Cheng, Chenyang Li, Wangmeng Xiang, Binghui Chen, Bin Luo, Yifeng Geng, Xuansong Xie |
| 2023 | DEIR: Efficient and Robust Exploration through Discriminative-Model-Based Episodic Intrinsic Rewards. Shanchuan Wan, Yujin Tang, Yingtao Tian, Tomoyuki Kaneko |
| 2023 | DFVSR: Directional Frequency Video Super-Resolution via Asymmetric and Enhancement Alignment Network. Shuting Dong, Feng Lu, Zhe Wu, Chun Yuan |
| 2023 | DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning. Canzhe Zhao, Yanjie Ze, Jing Dong, Baoxiang Wang, Shuai Li |
| 2023 | Data Level Lottery Ticket Hypothesis for Vision Transformers. Xuan Shen, Zhenglun Kong, Minghai Qin, Peiyan Dong, Geng Yuan, Xin Meng, Hao Tang, Xiaolong Ma, Yanzhi Wang |
| 2023 | Data-Driven Invariant Learning for Probabilistic Programs (Extended Abstract). Jialu Bao, Nitesh Trivedi, Drashti Pathak, Justin Hsu, Subhajit Roy |
| 2023 | Data-Driven Revision of Conditional Norms in Multi-Agent Systems (Extended Abstract). Davide Dell'Anna, Natasha Alechina, Fabiano Dalpiaz, Mehdi Dastani, Brian Logan |
| 2023 | Data-Informed Knowledge and Strategies (Extended Abstract). Junli Jiang, Pavel Naumov |
| 2023 | DeLELSTM: Decomposition-based Linear Explainable LSTM to Capture Instantaneous and Long-term Effects in Time Series. Chaoqun Wang, Yijun Li, Xiangqian Sun, Qi Wu, Dongdong Wang, Zhixiang Huang |
| 2023 | Decentralized Anomaly Detection in Cooperative Multi-Agent Reinforcement Learning. Kiarash Kazari, Ezzeldin Shereen, György Dán |
| 2023 | Decoding the Underlying Meaning of Multimodal Hateful Memes. Ming Shan Hee, Wen-Haw Chong, Roy Ka-Wei Lee |
| 2023 | Decoupling with Entropy-based Equalization for Semi-Supervised Semantic Segmentation. Chuanghao Ding, Jianrong Zhang, Henghui Ding, Hongwei Zhao, Zhihui Wang, Tengfei Xing, Runbo Hu |
| 2023 | Deep Hashing-based Dynamic Stock Correlation Estimation via Normalizing Flow. Xiaolin Zheng, Mengpu Liu, Mengying Zhu |
| 2023 | Deep Hierarchical Communication Graph in Multi-Agent Reinforcement Learning. Zeyang Liu, Lipeng Wan, Xue Sui, Zhuoran Chen, Kewu Sun, Xuguang Lan |
| 2023 | Deep Multi-view Subspace Clustering with Anchor Graph. Chenhang Cui, Yazhou Ren, Jingyu Pu, Xiaorong Pu, Lifang He |
| 2023 | Deep Partial Multi-Label Learning with Graph Disambiguation. Haobo Wang, Shisong Yang, Gengyu Lyu, Weiwei Liu, Tianlei Hu, Ke Chen, Songhe Feng, Gang Chen |
| 2023 | Deep Symbolic Learning: Discovering Symbols and Rules from Perceptions. Alessandro Daniele, Tommaso Campari, Sagar Malhotra, Luciano Serafini |
| 2023 | Deep Unfolding Convolutional Dictionary Model for Multi-Contrast MRI Super-resolution and Reconstruction. Pengcheng Lei, Faming Fang, Guixu Zhang, Ming Xu |
| 2023 | DeepPSL: End-to-End Perception and Reasoning. Sridhar Dasaratha, Sai Akhil Puranam, Karmvir Singh Phogat, Sunil Reddy Tiyyagura, Nigel P. Duffy |
| 2023 | Delegated Online Search. Pirmin Braun, Niklas Hahn, Martin Hoefer, Conrad Schecker |
| 2023 | Deliberation and Voting in Approval-Based Multi-Winner Elections. Kanav Mehra, Nanda Kishore Sreenivas, Kate Larson |
| 2023 | Deliberation as Evidence Disclosure: A Tale of Two Protocol Types. Julian Chingoma, Adrian Haret |
| 2023 | Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning. Hangtao Zhang, Zeming Yao, Leo Yu Zhang, Shengshan Hu, Chao Chen, Alan Wee-Chung Liew, Zhetao Li |
| 2023 | Denoised Self-Augmented Learning for Social Recommendation. Tianle Wang, Lianghao Xia, Chao Huang |
| 2023 | DenseDINO: Boosting Dense Self-Supervised Learning with Token-Based Point-Level Consistency. Yike Yuan, Xinghe Fu, Yunlong Yu, Xi Li |
| 2023 | DenseLight: Efficient Control for Large-scale Traffic Signals with Dense Feedback. Junfan Lin, Yuying Zhu, Lingbo Liu, Yang Liu, Guanbin Li, Liang Lin |
| 2023 | Depth-Relative Self Attention for Monocular Depth Estimation. Kyuhong Shim, Jiyoung Kim, Gusang Lee, Byonghyo Shim |
| 2023 | Description Logics with Pointwise Circumscription. Federica Di Stefano, Magdalena Ortiz, Mantas Simkus |
| 2023 | Detecting Adversarial Faces Using Only Real Face Self-Perturbations. Qian Wang, Yongqin Xian, Hefei Ling, Jinyuan Zhang, Xiaorui Lin, Ping Li, Jiazhong Chen, Ning Yu |
| 2023 | DiSProD: Differentiable Symbolic Propagation of Distributions for Planning. Palash Chatterjee, Ashutosh Chapagain, Weizhe Chen, Roni Khardon |
| 2023 | Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification. Conghao Xiong, Hao Chen, Joseph J. Y. Sung, Irwin King |
| 2023 | Diagram Visual Grounding: Learning to See with Gestalt-Perceptual Attention. Xin Hu, Lingling Zhang, Jun Liu, Xinyu Zhang, Wenjun Wu, Qianying Wang |
| 2023 | Dichotomous Image Segmentation with Frequency Priors. Yan Zhou, Bo Dong, Yuanfeng Wu, Wentao Zhu, Geng Chen, Yanning Zhang |
| 2023 | DiffAR: Adaptive Conditional Diffusion Model for Temporal-augmented Human Activity Recognition. Shuokang Huang, Po-Yu Chen, Julie Ann McCann |
| 2023 | Differentiable Economics for Randomized Affine Maximizer Auctions. Michael J. Curry, Tuomas Sandholm, John P. Dickerson |
| 2023 | Differentiable Model Selection for Ensemble Learning. James Kotary, Vincenzo Di Vito, Ferdinando Fioretto |
| 2023 | Differentially Private Partial Set Cover with Applications to Facility Location. George Z. Li, Dung Nguyen, Anil Vullikanti |
| 2023 | DiffuseStyleGesture: Stylized Audio-Driven Co-Speech Gesture Generation with Diffusion Models. Sicheng Yang, Zhiyong Wu, Minglei Li, Zhensong Zhang, Lei Hao, Weihong Bao, Ming Cheng, Long Xiao |
| 2023 | Diffusion Models for Non-autoregressive Text Generation: A Survey. Yifan Li, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen |
| 2023 | Discounting in Strategy Logic. Munyque Mittelmann, Aniello Murano, Laurent Perrussel |
| 2023 | Discovering Sounding Objects by Audio Queries for Audio Visual Segmentation. Shaofei Huang, Han Li, Yuqing Wang, Hongji Zhu, Jiao Dai, Jizhong Han, Wenge Rong, Si Liu |
| 2023 | Discrepancy-Guided Reconstruction Learning for Image Forgery Detection. Zenan Shi, Haipeng Chen, Long Chen, Dong Zhang |
| 2023 | Discrete Diffusion Probabilistic Models for Symbolic Music Generation. Matthias Plasser, Silvan Peter, Gerhard Widmer |
| 2023 | Discrete Two Player All-Pay Auction with Complete Information. Marcin Dziubinski, Krzysztof Jahn |
| 2023 | Discriminative-Invariant Representation Learning for Unbiased Recommendation. Hang Pan, Jiawei Chen, Fuli Feng, Wentao Shi, Junkang Wu, Xiangnan He |
| 2023 | Disentanglement of Latent Representations via Causal Interventions. Gaël Gendron, Michael Witbrock, Gillian Dobbie |
| 2023 | Disentangling Societal Inequality from Model Biases: Gender Inequality in Divorce Court Proceedings. Sujan Dutta, Parth Srivastava, Vaishnavi Solunke, Swaprava Nath, Ashiqur R. KhudaBukhsh |
| 2023 | Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data. Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen |
| 2023 | Distributional Multi-Objective Decision Making. Willem Röpke, Conor F. Hayes, Patrick Mannion, Enda Howley, Ann Nowé, Diederik M. Roijers |
| 2023 | Diverse Approximations for Monotone Submodular Maximization Problems with a Matroid Constraint. Anh Viet Do, Mingyu Guo, Aneta Neumann, Frank Neumann |
| 2023 | Diversity, Agreement, and Polarization in Elections. Piotr Faliszewski, Andrzej Kaczmarczyk, Krzysztof Sornat, Stanislaw Szufa, Tomasz Was |
| 2023 | Divide Rows and Conquer Cells: Towards Structure Recognition for Large Tables. Huawen Shen, Xiang Gao, Jin Wei, Liang Qiao, Yu Zhou, Qiang Li, Zhanzhan Cheng |
| 2023 | Do We Need an Encoder-Decoder to Model Dynamical Systems on Networks? Bing Liu, Wei Luo, Gang Li, Jing Huang, Bo Yang |
| 2023 | Domain-Adaptive Self-Supervised Face & Body Detection in Drawings. Baris Batuhan Topal, Deniz Yuret, Tevfik Metin Sezgin |
| 2023 | Don't Ignore Alienation and Marginalization: Correlating Fraud Detection. Yilong Zang, Ruimin Hu, Zheng Wang, Danni Xu, Jia Wu, Dengshi Li, Junhang Wu, Lingfei Ren |
| 2023 | Doubly Stochastic Graph-based Non-autoregressive Reaction Prediction. Ziqiao Meng, Peilin Zhao, Yang Yu, Irwin King |
| 2023 | Dual Personalization on Federated Recommendation. Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Chengqi Zhang, Bo Yang |
| 2023 | Dual Relation Knowledge Distillation for Object Detection. Zhenliang Ni, Fukui Yang, Shengzhao Wen, Gang Zhang |
| 2023 | Dual Video Summarization: From Frames to Captions. Zhenzhen Hu, Zhenshan Wang, Zijie Song, Richang Hong |
| 2023 | Dual-view Correlation Hybrid Attention Network for Robust Holistic Mammogram Classification. Zhiwei Wang, Junlin Xian, Kangyi Liu, Xin Li, Qiang Li, Xin Yang |
| 2023 | Dynamic Belief for Decentralized Multi-Agent Cooperative Learning. Yunpeng Zhai, Peixi Peng, Chen Su, Yonghong Tian |
| 2023 | Dynamic Flows on Curved Space Generated by Labeled Data. Xinru Hua, Truyen Nguyen, Tam Le, Jose H. Blanchet, Viet Anh Nguyen |
| 2023 | Dynamic Group Link Prediction in Continuous-Time Interaction Network. Shijie Luo, He Li, Jianbin Huang |
| 2023 | Efficient Computation of General Modules for ALC Ontologies. Hui Yang, Patrick Koopmann, Yue Ma, Nicole Bidoit |
| 2023 | Efficient Convex Optimization Requires Superlinear Memory (Extended Abstract). Annie Marsden, Vatsal Sharan, Aaron Sidford, Gregory Valiant |
| 2023 | Efficient Global Robustness Certification of Neural Networks via Interleaving Twin-Network Encoding (Extended Abstract). Zhilu Wang, Chao Huang, Qi Zhu |
| 2023 | Efficient Multi-View Inverse Rendering Using a Hybrid Differentiable Rendering Method. Xiangyang Zhu, Yiling Pan, Bailin Deng, Bin Wang |
| 2023 | Efficient NLP Model Finetuning via Multistage Data Filtering. Xu Ouyang, Shahina Mohd Azam Ansari, Felix Xiaozhu Lin, Yangfeng Ji |
| 2023 | Efficient Object Search in Game Maps. Jinchun Du, Bojie Shen, Shizhe Zhao, Muhammad Aamir Cheema, Adel Nadjaran Toosi |
| 2023 | Efficient Online Decision Tree Learning with Active Feature Acquisition. Arman Rahbar, Ziyu Ye, Yuxin Chen, Morteza Haghir Chehreghani |
| 2023 | Efficient Sign Language Translation with a Curriculum-based Non-autoregressive Decoder. Pei Yu, Liang Zhang, Biao Fu, Yidong Chen |
| 2023 | Efficient and Equitable Deployment of Mobile Vaccine Distribution Centers. Da Qi Chen, Ann Li, George Z. Li, Madhav V. Marathe, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti |
| 2023 | Eliminating the Computation of Strongly Connected Components in Generalized Arc Consistency Algorithm for AllDifferent Constraint. Luhan Zhen, Zhanshan Li, Yanzhi Li, Hongbo Li |
| 2023 | Enabling Abductive Learning to Exploit Knowledge Graph. Yu-Xuan Huang, Zequn Sun, Guangyao Li, Xiaobin Tian, Wang-Zhou Dai, Wei Hu, Yuan Jiang, Zhi-Hua Zhou |
| 2023 | Engineering an Efficient Approximate DNF-Counter. Mate Soos, Divesh Aggarwal, Sourav Chakraborty, Kuldeep S. Meel, Maciej Obremski |
| 2023 | Enhancing Datalog Reasoning with Hypertree Decompositions. Xinyue Zhang, Pan Hu, Yavor Nenov, Ian Horrocks |
| 2023 | Enhancing Efficient Continual Learning with Dynamic Structure Development of Spiking Neural Networks. Bing Han, Feifei Zhao, Yi Zeng, Wenxuan Pan, Guobin Shen |
| 2023 | Enhancing Network by Reinforcement Learning and Neural Confined Local Search. Qifu Hu, Ruyang Li, Qi Deng, Yaqian Zhao, Rengang Li |
| 2023 | Enriching Phrases with Coupled Pixel and Object Contexts for Panoptic Narrative Grounding. Tianrui Hui, Zihan Ding, Junshi Huang, Xiaoming Wei, Xiaolin Wei, Jiao Dai, Jizhong Han, Si Liu |
| 2023 | Ensemble Reinforcement Learning in Continuous Spaces - A Hierarchical Multi-Step Approach for Policy Training. Gang Chen, Victoria Huang |
| 2023 | Error in the Euclidean Preference Model. Luke Thorburn, Maria Polukarov, Carmine Ventre |
| 2023 | Ethical By Designer - How to Grow Ethical Designers of Artificial Intelligence (Extended Abstract). Loïs Vanhée, Melania Borit |
| 2023 | Evaluating GPT-3 Generated Explanations for Hateful Content Moderation. Han Wang, Ming Shan Hee, Md. Rabiul Awal, Kenny Tsu Wei Choo, Roy Ka-Wei Lee |
| 2023 | Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition. Renaud Bougueng Tchemeube, Jeffrey Ens, Cale Plut, Philippe Pasquier, Maryam Safi, Yvan Grabit, Jean-Baptiste Rolland |
| 2023 | Even If Explanations: Prior Work, Desiderata & Benchmarks for Semi-Factual XAI. Saugat Aryal, Mark T. Keane |
| 2023 | Expanding the Hyperbolic Kernels: A Curvature-aware Isometric Embedding View. Meimei Yang, Pengfei Fang, Hui Xue |
| 2023 | Explainable Multi-Agent Reinforcement Learning for Temporal Queries. Kayla Boggess, Sarit Kraus, Lu Feng |
| 2023 | Explainable Reinforcement Learning via a Causal World Model. Zhongwei Yu, Jingqing Ruan, Dengpeng Xing |
| 2023 | Explainable Text Classification via Attentive and Targeted Mixing Data Augmentation. Songhao Jiang, Yan Chu, Zhengkui Wang, Tianxing Ma, Hanlin Wang, Wenxuan Lu, Tianning Zang, Bo Wang |
| 2023 | Explaining Answer-Set Programs with Abstract Constraint Atoms. Thomas Eiter, Tobias Geibinger |
| 2023 | Explanation-Guided Reward Alignment. Saaduddin Mahmud, Sandhya Saisubramanian, Shlomo Zilberstein |
| 2023 | Exploiting Non-Interactive Exercises in Cognitive Diagnosis. Fangzhou Yao, Qi Liu, Min Hou, Shiwei Tong, Zhenya Huang, Enhong Chen, Jing Sha, Shijin Wang |
| 2023 | Exploration via Joint Policy Diversity for Sparse-Reward Multi-Agent Tasks. Pei Xu, Junge Zhang, Kaiqi Huang |
| 2023 | Exploring Effective Inter-Encoder Semantic Interaction for Document-Level Relation Extraction. Liang Zhang, Zijun Min, Jinsong Su, Pei Yu, Ante Wang, Yidong Chen |
| 2023 | Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation. Hao Cheng, Shufeng Kong, Yanchen Deng, Caihua Liu, Xiaohu Wu, Bo An, Chongjun Wang |
| 2023 | Exploring Multilingual Intent Dynamics and Applications. Ankan Mullick |
| 2023 | Exploring Safety Supervision for Continual Test-time Domain Adaptation. Xu Yang, Yanan Gu, Kun Wei, Cheng Deng |
| 2023 | Exploring Structural Similarity in Fitness Landscapes via Graph Data Mining: A Case Study on Number Partitioning Problems. Mingyu Huang, Ke Li |
| 2023 | FEAMOE: Fair, Explainable and Adaptive Mixture of Experts. Shubham Sharma, Jette Henderson, Joydeep Ghosh |
| 2023 | FGNet: Towards Filling the Intra-class and Inter-class Gaps for Few-shot Segmentation. Yuxuan Zhang, Wei Yang, Shaowei Wang |
| 2023 | Fair Division of a Graph into Compact Bundles. Jayakrishnan Madathil |
| 2023 | Fair Division with Two-Sided Preferences. Ayumi Igarashi, Yasushi Kawase, Warut Suksompong, Hanna Sumita |
| 2023 | Fair and Efficient Allocation of Indivisible Chores with Surplus. Hannaneh Akrami, Bhaskar Ray Chaudhury, Jugal Garg, Kurt Mehlhorn, Ruta Mehta |
| 2023 | Fairly Allocating Goods and (Terrible) Chores. Hadi Hosseini, Aghaheybat Mammadov, Tomasz Was |
| 2023 | Fairness and Representation in Satellite-Based Poverty Maps: Evidence of Urban-Rural Disparities and Their Impacts on Downstream Policy. Emily L. Aiken, Esther Rolf, Joshua Blumenstock |
| 2023 | Fairness and Stability in Complex Domains. Julian Chingoma |
| 2023 | Fairness via Group Contribution Matching. Tianlin Li, Zhiming Li, Anran Li, Mengnan Du, Aishan Liu, Qing Guo, Guozhu Meng, Yang Liu |
| 2023 | Fast Algorithms for SAT with Bounded Occurrences of Variables. Junqiang Peng, Mingyu Xiao |
| 2023 | Fast and Differentially Private Fair Clustering. Junyoung Byun, Jaewook Lee |
| 2023 | Fast-StrucTexT: An Efficient Hourglass Transformer with Modality-guided Dynamic Token Merge for Document Understanding. Mingliang Zhai, Yulin Li, Xiameng Qin, Chen Yi, Qunyi Xie, Chengquan Zhang, Kun Yao, Yuwei Wu, Yunde Jia |
| 2023 | FastGR: Global Routing on CPU-GPU with Heterogeneous Task Graph Scheduler (Extended Abstract). Siting Liu, Yuan Pu, Peiyu Liao, Hongzhong Wu, Rui Zhang, Zhitang Chen, Wenlong Lv, Yibo Lin, Bei Yu |
| 2023 | Faster Exact MPE and Constrained Optimization with Deterministic Finite State Automata. Filippo Bistaffa |
| 2023 | Feature Staleness Aware Incremental Learning for CTR Prediction. Zhikai Wang, Yanyan Shen, Zibin Zhang, Kangyi Lin |
| 2023 | FedBFPT: An Efficient Federated Learning Framework for Bert Further Pre-training. Xin'ao Wang, Huan Li, Ke Chen, Lidan Shou |
| 2023 | FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment. Jiahao Liu, Jiang Wu, Jinyu Chen, Miao Hu, Yipeng Zhou, Di Wu |
| 2023 | FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer. Chenghao Liu, Xiaoyang Qu, Jianzong Wang, Jing Xiao |
| 2023 | FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks. Xinyu Fu, Irwin King |
| 2023 | FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity. Nannan Wu, Li Yu, Xuefeng Jiang, Kwang-Ting Cheng, Zengqiang Yan |
| 2023 | FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning. Yuanyuan Chen, Zichen Chen, Pengcheng Wu, Han Yu |
| 2023 | FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation. Hanlin Gu, Jiahuan Luo, Yan Kang, Lixin Fan, Qiang Yang |
| 2023 | FedSampling: A Better Sampling Strategy for Federated Learning. Tao Qi, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie |
| 2023 | Federated Graph Semantic and Structural Learning. Wenke Huang, Guancheng Wan, Mang Ye, Bo Du |
| 2023 | Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation. Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Jianwei Yin, Yanchao Tan, Longfei Zheng |
| 2023 | Fedstellar: A Platform for Training Models in a Privacy-preserving and Decentralized Fashion. Enrique Tomás Martínez Beltrán, Pedro Miguel Sánchez Sánchez, Sergio López Bernal, Gérôme Bovet, Manuel Gil Pérez, Gregorio Martínez Pérez, Alberto Huertas Celdrán |
| 2023 | Few-shot Classification via Ensemble Learning with Multi-Order Statistics. Sai Yang, Fan Liu, Delong Chen, Jun Zhou |
| 2023 | Fighting against Organized Fraudsters Using Risk Diffusion-based Parallel Graph Neural Network. Jiacheng Ma, Fan Li, Rui Zhang, Zhikang Xu, Dawei Cheng, Yi Ouyang, Ruihui Zhao, Jianguang Zheng, Yefeng Zheng, Changjun Jiang |
| 2023 | Find Rhinos without Finding Rhinos: Active Learning with Multimodal Imagery of South African Rhino Habitats. Lucia Gordon, Nikhil Behari, Samuel Collier, Elizabeth Bondi-Kelly, Jackson A. Killian, Catherine Ressijac, Peter Boucher, Andrew Davies, Milind Tambe |
| 2023 | Finding Mixed-Strategy Equilibria of Continuous-Action Games without Gradients Using Randomized Policy Networks. Carlos Martin, Tuomas Sandholm |
| 2023 | Finding an ϵ-Close Minimal Variation of Parameters in Bayesian Networks. Bahare Salmani, Joost-Pieter Katoen |
| 2023 | Fine-tuned vs. Prompt-tuned Supervised Representations: Which Better Account for Brain Language Representations? Jingyuan Sun, Marie-Francine Moens |
| 2023 | Finite Entailment of UCRPQs over ALC Ontologies (Extended Abstract). Víctor Gutiérrez-Basulto, Albert Gutowski, Yazmín Ibáñez-García, Filip Murlak |
| 2023 | Finite-Trace Analysis of Stochastic Systems with Silent Transitions (Extended Abstract). Sander J. J. Leemans, Fabrizio Maria Maggi, Marco Montali |
| 2023 | First-Choice Maximality Meets Ex-ante and Ex-post Fairness. Xiaoxi Guo, Sujoy Sikdar, Lirong Xia, Yongzhi Cao, Hanpin Wang |
| 2023 | Flaws of Termination and Optimality in ADOPT-based Algorithms. Koji Noshiro, Koji Hasebe |
| 2023 | Fluid Dynamics-Inspired Network for Infrared Small Target Detection. Tianxiang Chen, Qi Chu, Bin Liu, Nenghai Yu |
| 2023 | For Women, Life, Freedom: A Participatory AI-Based Social Web Analysis of a Watershed Moment in Iran's Gender Struggles. Adel Khorramrouz, Sujan Dutta, Ashiqur R. KhudaBukhsh |
| 2023 | Forecasting Soil Moisture Using Domain Inspired Temporal Graph Convolution Neural Networks To Guide Sustainable Crop Management. Muneeza Azmat, Malvern Madondo, Arun Bawa, Kelsey Dipietro, Raya Horesh, Michael Jacobs, Raghavan Srinivasan, Fearghal O'Donncha |
| 2023 | Formal Explanations of Neural Network Policies for Planning. Renee Selvey, Alban Grastien, Sylvie Thiébaux |
| 2023 | From Association to Generation: Text-only Captioning by Unsupervised Cross-modal Mapping. Junyang Wang, Ming Yan, Yi Zhang, Jitao Sang |
| 2023 | From Generation to Suppression: Towards Effective Irregular Glow Removal for Nighttime Visibility Enhancement. Wanyu Wu, Wei Wang, Zheng Wang, Kui Jiang, Xin Xu |
| 2023 | Front-to-End Bidirectional Heuristic Search with Consistent Heuristics: Enumerating and Evaluating Algorithms and Bounds. Lior Siag, Shahaf S. Shperberg, Ariel Felner, Nathan R. Sturtevant |
| 2023 | Full Scaling Automation for Sustainable Development of Green Data Centers. Shiyu Wang, Yinbo Sun, Xiaoming Shi, Shiyi Zhu, Lintao Ma, James Zhang, Yangfei Zheng, Liu Jian |
| 2023 | Function Approximation for Reinforcement Learning Controller for Energy from Spread Waves. Soumyendu Sarkar, Vineet Gundecha, Sahand Ghorbanpour, Alexander Shmakov, Ashwin Ramesh Babu, Avisek Naug, Alexandre Pichard, Mathieu Cocho |
| 2023 | G2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns. Qin Zhang, Zelin Shi, Xiaolin Zhang, Xiaojun Chen, Philippe Fournier-Viger, Shirui Pan |
| 2023 | GIDnets: Generative Neural Networks for Solving Inverse Design Problems via Latent Space Exploration. Carlo Adornetto, Gianluigi Greco |
| 2023 | GLPocket: A Multi-Scale Representation Learning Approach for Protein Binding Site Prediction. Peiying Li, Yongchang Liu, Shikui Tu, Lei Xu |
| 2023 | GPLight: Grouped Multi-agent Reinforcement Learning for Large-scale Traffic Signal Control. Yilin Liu, Guiyang Luo, Quan Yuan, Jinglin Li, Lei Jin, Bo Chen, Rui Pan |
| 2023 | GPMO: Gradient Perturbation-Based Contrastive Learning for Molecule Optimization. Xixi Yang, Li Fu, Yafeng Deng, Yuansheng Liu, Dongsheng Cao, Xiangxiang Zeng |
| 2023 | GTR: A Grafting-Then-Reassembling Framework for Dynamic Scene Graph Generation. Jiafeng Liang, Yuxin Wang, Zekun Wang, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin |
| 2023 | Game Theory with Simulation of Other Players. Vojtech Kovarík, Caspar Oesterheld, Vincent Conitzer |
| 2023 | Game-theoretic Mechanisms for Eliciting Accurate Information. Boi Faltings |
| 2023 | Gapformer: Graph Transformer with Graph Pooling for Node Classification. Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu |
| 2023 | GeNAS: Neural Architecture Search with Better Generalization. Joonhyun Jeong, Joonsang Yu, Geondo Park, Dongyoon Han, Youngjoon Yoo |
| 2023 | Generalization Bounds for Adversarial Metric Learning. Wen Wen, Han Li, Hong Chen, Rui Wu, Lingjuan Wu, Liangxuan Zhu |
| 2023 | Generalization Guarantees of Self-Training of Halfspaces under Label Noise Corruption. Lies Hadjadj, Massih-Reza Amini, Sana Louhichi |
| 2023 | Generalization through Diversity: Improving Unsupervised Environment Design. Wenjun Li, Pradeep Varakantham, Dexun Li |
| 2023 | Generalized Discriminative Deep Non-Negative Matrix Factorization Based on Latent Feature and Basis Learning. Zijian Yang, Zhiwei Li, Lu Sun |
| 2023 | Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs. Mingyang Chen, Wen Zhang, Yuxia Geng, Zezhong Xu, Jeff Z. Pan, Huajun Chen |
| 2023 | Generative Diffusion Models on Graphs: Methods and Applications. Chengyi Liu, Wenqi Fan, Yunqing Liu, Jiatong Li, Hang Li, Hui Liu, Jiliang Tang, Qing Li |
| 2023 | Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs. Yinchuan Li, Zhigang Li, Wenqian Li, Yunfeng Shao, Yan Zheng, Jianye Hao |
| 2023 | Genetic Prompt Search via Exploiting Language Model Probabilities. Jiangjiang Zhao, Zhuoran Wang, Fangchun Yang |
| 2023 | Get Out of the BAG! Silos in AI Ethics Education: Unsupervised Topic Modeling Analysis of Global AI Curricula (Extended Abstract). Rana Tallal Javed, Osama Nasir, Melania Borit, Loïs Vanhée, Elias Zea, Shivam Gupta, Ricardo Vinuesa, Junaid Qadir |
| 2023 | Globally Consistent Federated Graph Autoencoder for Non-IID Graphs. Kun Guo, Yutong Fang, Qingqing Huang, Yuting Liang, Ziyao Zhang, Wenyu He, Liu Yang, Kai Chen, Ximeng Liu, Wenzhong Guo |
| 2023 | Good Explanations in Explainable Artificial Intelligence (XAI): Evidence from Human Explanatory Reasoning. Ruth M. J. Byrne |
| 2023 | Gradient-Based Mixed Planning with Symbolic and Numeric Action Parameters (Extended Abstract). Kebing Jin, Hankz Hankui Zhuo, Zhanhao Xiao, Hai Wan, Subbarao Kambhampati |
| 2023 | Graph Neural Convection-Diffusion with Heterophily. Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay |
| 2023 | Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities. Chuang Liu, Yibing Zhan, Jia Wu, Chang Li, Bo Du, Wenbin Hu, Tongliang Liu, Dacheng Tao |
| 2023 | Graph Propagation Transformer for Graph Representation Learning. Zhe Chen, Hao Tan, Tao Wang, Tianrun Shen, Tong Lu, Qiuying Peng, Cheng Cheng, Yue Qi |
| 2023 | Graph Sampling-based Meta-Learning for Molecular Property Prediction. Xiang Zhuang, Qiang Zhang, Bin Wu, Keyan Ding, Yin Fang, Huajun Chen |
| 2023 | Graph-based Molecular Representation Learning. Zhichun Guo, Kehan Guo, Bozhao Nan, Yijun Tian, Roshni G. Iyer, Yihong Ma, Olaf Wiest, Xiangliang Zhang, Wei Wang, Chuxu Zhang, Nitesh V. Chawla |
| 2023 | Graph-based Polyphonic Multitrack Music Generation. Emanuele Cosenza, Andrea Valenti, Davide Bacciu |
| 2023 | Graph-based Semi-supervised Local Clustering with Few Labeled Nodes. Zhaiming Shen, Ming-Jun Lai, Sheng Li |
| 2023 | GreenFlow: A Computation Allocation Framework for Building Environmentally Sound Recommendation System. Xingyu Lu, Zhining Liu, Yanchu Guan, Hongxuan Zhang, Chenyi Zhuang, Wenqi Ma, Yize Tan, Jinjie Gu, Guannan Zhang |
| 2023 | GreenPLM: Cross-Lingual Transfer of Monolingual Pre-Trained Language Models at Almost No Cost. Qingcheng Zeng, Lucas Garay, Peilin Zhou, Dading Chong, Yining Hua, Jiageng Wu, Yikang Pan, Han Zhou, Rob Voigt, Jie Yang |
| 2023 | Group Fairness in Set Packing Problems. Sharmila Duppala, Juan Luque, John P. Dickerson, Aravind Srinivasan |
| 2023 | Group Sparse Optimal Transport for Sparse Process Flexibility Design. Dixin Luo, Tingting Yu, Hongteng Xu |
| 2023 | Guide to Control: Offline Hierarchical Reinforcement Learning Using Subgoal Generation for Long-Horizon and Sparse-Reward Tasks. Wonchul Shin, Yusung Kim |
| 2023 | Guided Patch-Grouping Wavelet Transformer with Spatial Congruence for Ultra-High Resolution Segmentation. Deyi Ji, Feng Zhao, Hongtao Lu |
| 2023 | HDFormer: High-order Directed Transformer for 3D Human Pose Estimation. Han-Yuan Chen, Jun-Yan He, Wangmeng Xiang, Zhi-Qi Cheng, Wei Liu, Hanbing Liu, Bin Luo, Yifeng Geng, Xuansong Xie |
| 2023 | HOI-aware Adaptive Network for Weakly-supervised Action Segmentation. Runzhong Zhang, Suchen Wang, Yueqi Duan, Yansong Tang, Yue Zhang, Yap-Peng Tan |
| 2023 | HOUDINI: Escaping from Moderately Constrained Saddles. Dmitrii Avdiukhin, Grigory Yaroslavtsev |
| 2023 | Half-Positional Objectives Recognized by Deterministic Büchi Automata (Extended Abstract). Patricia Bouyer, Antonio Casares, Mickael Randour, Pierre Vandenhove |
| 2023 | Handling Learnwares Developed from Heterogeneous Feature Spaces without Auxiliary Data. Peng Tan, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou |
| 2023 | Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning. Honglu Zhou, Advith Chegu, Samuel S. Sohn, Zuohui Fu, Gerard de Melo, Mubbasir Kapadia |
| 2023 | Hawkes Process Based on Controlled Differential Equations. Minju Jo, Seungji Kook, Noseong Park |
| 2023 | Helpful Information Sharing for Partially Informed Planning Agents. Sarah Keren, David Wies, Sara Bernardini |
| 2023 | Heuristic-Search Approaches for the Multi-Objective Shortest-Path Problem: Progress and Research Opportunities. Oren Salzman, Ariel Felner, Carlos Hernández, Han Zhang, Shao-Hung Chan, Sven Koenig |
| 2023 | Hierarchical Apprenticeship Learning for Disease Progression Modeling. Xi Yang, Ge Gao, Min Chi |
| 2023 | Hierarchical Prompt Learning for Compositional Zero-Shot Recognition. Henan Wang, Muli Yang, Kun Wei, Cheng Deng |
| 2023 | Hierarchical Semantic Contrast for Weakly Supervised Semantic Segmentation. Yuanchen Wu, Xiaoqiang Li, Songmin Dai, Jide Li, Tong Liu, Shaorong Xie |
| 2023 | Hierarchical State Abstraction based on Structural Information Principles. Xianghua Zeng, Hao Peng, Angsheng Li, Chunyang Liu, Lifang He, Philip S. Yu |
| 2023 | Hierarchical Transformer for Scalable Graph Learning. Wenhao Zhu, Tianyu Wen, Guojie Song, Xiaojun Ma, Liang Wang |
| 2023 | HireVAE: An Online and Adaptive Factor Model Based on Hierarchical and Regime-Switch VAE. Zikai Wei, Anyi Rao, Bo Dai, Dahua Lin |
| 2023 | Human-AI Collaboration in Recruitment and Selection. Neil Natarajan |
| 2023 | Human-Centred Multimodal Deep Learning Models for Chest X-Ray Diagnosis. Chihcheng Hsieh |
| 2023 | Humming2Music: Being A Composer As Long As You Can Humming. Yao Qiu, Jinchao Zhang, Huiying Ren, Yong Shan, Jie Zhou |
| 2023 | HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning. Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Huabin Zhu, Yanchao Tan, Jun Wang, Yue Qi |
| 2023 | Hyperspectral Image Denoising Using Uncertainty-Aware Adjustor. Jiahua Xiao, Xing Wei |
| 2023 | ICDA: Illumination-Coupled Domain Adaptation Framework for Unsupervised Nighttime Semantic Segmentation. Chenghao Dong, Xuejing Kang, Anlong Ming |
| 2023 | IID-GAN: an IID Sampling Perspective for Regularizing Mode Collapse. Yang Li, Liangliang Shi, Junchi Yan |
| 2023 | IMF: Integrating Matched Features Using Attentive Logit in Knowledge Distillation. Jeongho Kim, Hanbeen Lee, Simon S. Woo |
| 2023 | IMPsys: An Intelligent Mold Processing System for Smart Factory. Xueyi Zhou, Yohan Na, Minju Bang, Dong-Kyu Chae |
| 2023 | IberianVoxel: Automatic Completion of Iberian Ceramics for Cultural Heritage Studies. Pablo Navarro, Celia Cintas, Manuel J. Lucena, José Manuel Fuertes, Antonio Jesús Rueda, Rafael Jesús Segura, Carlos J. Ogáyar-Anguita, Rolando González-José, Claudio Delrieux |
| 2023 | Image Composition with Depth Registration. Zan Li, Wencheng Wang, Fei Hou |
| 2023 | Improve Video Representation with Temporal Adversarial Augmentation. Jinhao Duan, Quanfu Fan, Hao Cheng, Xiaoshuang Shi, Kaidi Xu |
| 2023 | Improved Algorithms for Allen's Interval Algebra by Dynamic Programming with Sublinear Partitioning. Leif Eriksson, Victor Lagerkvist |
| 2023 | Improving Heterogeneous Model Reuse by Density Estimation. Anke Tang, Yong Luo, Han Hu, Fengxiang He, Kehua Su, Bo Du, Yixin Chen, Dacheng Tao |
| 2023 | Improving LaCAM for Scalable Eventually Optimal Multi-Agent Pathfinding. Keisuke Okumura |
| 2023 | In Which Graph Structures Can We Efficiently Find Temporally Disjoint Paths and Walks? Pascal Kunz, Hendrik Molter, Meirav Zehavi |
| 2023 | Incentive-Compatible Selection for One or Two Influentials. Yuxin Zhao, Yao Zhang, Dengji Zhao |
| 2023 | Incentivizing Recourse through Auditing in Strategic Classification. Andrew Estornell, Yatong Chen, Sanmay Das, Yang Liu, Yevgeniy Vorobeychik |
| 2023 | Incomplete Multi-view Clustering via Prototype-based Imputation. Haobin Li, Yunfan Li, Mouxing Yang, Peng Hu, Dezhong Peng, Xi Peng |
| 2023 | Incorporating Unlikely Negative Cues for Distinctive Image Captioning. Zhengcong Fei, Junshi Huang |
| 2023 | Incremental Event Calculus for Run-Time Reasoning (Extended Abstract). Efthimis Tsilionis, Alexander Artikis, Georgios Paliouras |
| 2023 | Incremental and Decremental Optimal Margin Distribution Learning. Li-Jun Chen, Teng Zhang, Xuanhua Shi, Hai Jin |
| 2023 | Independent Feature Decomposition and Instance Alignment for Unsupervised Domain Adaptation. Qichen He, Siying Xiao, Mao Ye, Xiatian Zhu, Ferrante Neri, Dongde Hou |
| 2023 | Inducing Stackelberg Equilibrium through Spatio-Temporal Sequential Decision-Making in Multi-Agent Reinforcement Learning. Bin Zhang, Lijuan Li, Zhiwei Xu, Dapeng Li, Guoliang Fan |
| 2023 | Inferring Private Valuations from Behavioral Data in Bilateral Sequential Bargaining. Lvye Cui, Haoran Yu |
| 2023 | InitLight: Initial Model Generation for Traffic Signal Control Using Adversarial Inverse Reinforcement Learning. Yutong Ye, Yingbo Zhou, Jiepin Ding, Ting Wang, Mingsong Chen, Xiang Lian |
| 2023 | Intensity-Valued Emotions Help Stance Detection of Climate Change Twitter Data. Apoorva Upadhyaya, Marco Fisichella, Wolfgang Nejdl |
| 2023 | Intent-aware Recommendation via Disentangled Graph Contrastive Learning. Yuling Wang, Xiao Wang, Xiangzhou Huang, Yanhua Yu, Haoyang Li, Mengdi Zhang, Zirui Guo, Wei Wu |
| 2023 | Interactive Machine Learning Solutions for Acoustic Monitoring of Animal Wildlife in Biosphere Reserves. Thiago S. Gouvêa, Hannes Kath, Ilira Troshani, Bengt Lüers, Patricia P. Serafini, Ivan Braga Campos, André S. Afonso, Sergio M. F. M. Leandro, Lourens Swanepoel, Nicholas Theron, Anthony M. Swemmer, Daniel Sonntag |
| 2023 | Interpret ESG Rating's Impact on the Industrial Chain Using Graph Neural Networks. Bin Liu, Jiujun He, Ziyuan Li, Xiaoyang Huang, Xiang Zhang, Guosheng Yin |
| 2023 | Interpretability and Fairness in Machine Learning: A Formal Methods Approach. Bishwamittra Ghosh |
| 2023 | Interpretable Local Concept-based Explanation with Human Feedback to Predict All-cause Mortality (Extended Abstract). Radwa El Shawi, Mouaz H. Al-Mallah |
| 2023 | Invertible Residual Neural Networks with Conditional Injector and Interpolator for Point Cloud Upsampling. Aihua Mao, Yaqi Duan, Yu-Hui Wen, Zihui Du, Hongmin Cai, Yong-Jin Liu |
| 2023 | JEPOO: Highly Accurate Joint Estimation of Pitch, Onset and Offset for Music Information Retrieval. Haojie Wei, Jun Yuan, Rui Zhang, Yueguo Chen, Gang Wang |
| 2023 | Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training. Ziyu Guo, Renrui Zhang, Longtian Qiu, Xianzhi Li, Pheng-Ann Heng |
| 2023 | KDLGT: A Linear Graph Transformer Framework via Kernel Decomposition Approach. Yi Wu, Yanyang Xu, Wenhao Zhu, Guojie Song, Zhouchen Lin, Liang Wang, Shaoguo Liu |
| 2023 | KEST: Kernel Distance Based Efficient Self-Training for Improving Controllable Text Generation. Yuxi Feng, Xiaoyuan Yi, Laks V. S. Lakshmanan, Xing Xie |
| 2023 | KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification. Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian, Mengdi Zhang, Enhong Chen |
| 2023 | Keep Skills in Mind: Understanding and Implementing Skills in Commonsense Question Answering. Meikai Bao, Qi Liu, Kai Zhang, Ye Liu, Linan Yue, Longfei Li, Jun Zhou |
| 2023 | Keeping People Active and Healthy at Home Using a Reinforcement Learning-based Fitness Recommendation Framework. Elias Z. Tragos, Diarmuid O'Reilly-Morgan, James Geraci, Bichen Shi, Barry Smyth, Cailbhe Doherty, Aonghus Lawlor, Neil Hurley |
| 2023 | K∗ Search over Orbit Space for Top-k Planning. Michael Katz, Junkyu Lee |
| 2023 | LGI-GT: Graph Transformers with Local and Global Operators Interleaving. Shuo Yin, Guoqiang Zhong |
| 2023 | LGPConv: Learnable Gaussian Perturbation Convolution for Lightweight Pansharpening. Chen-Yu Zhao, Tian-Jing Zhang, Ran Ran, Zhi-Xuan Chen, Liang-Jian Deng |
| 2023 | LION: Label Disambiguation for Semi-supervised Facial Expression Recognition with Progressive Negative Learning. Zhongjing Du, Xu Jiang, Peng Wang, Qizheng Zhou, Xi Wu, Jiliu Zhou, Yan Wang |
| 2023 | LISSNAS: Locality-based Iterative Search Space Shrinkage for Neural Architecture Search. Bhavna Gopal, Arjun Sridhar, Tunhou Zhang, Yiran Chen |
| 2023 | LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity. Yuhan Chen, Yihong Luo, Jing Tang, Liang Yang, Siya Qiu, Chuan Wang, Xiaochun Cao |
| 2023 | Label Enhancement via Joint Implicit Representation Clustering. Yunan Lu, Weiwei Li, Xiuyi Jia |
| 2023 | Label Specific Multi-Semantics Metric Learning for Multi-Label Classification: Global Consideration Helps. Junxiang Mao, Wei Wang, Min-Ling Zhang |
| 2023 | Large Decision Models. Weinan Zhang |
| 2023 | Latent Inspector: An Interactive Tool for Probing Neural Network Behaviors Through Arbitrary Latent Activation. Daniel Geißler, Bo Zhou, Paul Lukowicz |
| 2023 | Latent Processes Identification From Multi-View Time Series. Zenan Huang, Haobo Wang, Junbo Zhao, Nenggan Zheng |
| 2023 | Learn and Sample Together: Collaborative Generation for Graphic Design Layout. Haohan Weng, Danqing Huang, Tong Zhang, Chin-Yew Lin |
| 2023 | Learnable Surrogate Gradient for Direct Training Spiking Neural Networks. Shuang Lian, Jiangrong Shen, Qianhui Liu, Ziming Wang, Rui Yan, Huajin Tang |
| 2023 | Learning 3D Photography Videos via Self-supervised Diffusion on Single Images. Xiaodong Wang, Chenfei Wu, Shengming Yin, Minheng Ni, Jianfeng Wang, Linjie Li, Zhengyuan Yang, Fan Yang, Lijuan Wang, Zicheng Liu, Yuejian Fang, Nan Duan |
| 2023 | Learning Attention from Attention: Efficient Self-Refinement Transformer for Face Super-Resolution. Guanxin Li, Jingang Shi, Yuan Zong, Fei Wang, Tian Wang, Yihong Gong |
| 2023 | Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach. Haoxuan Wang, Zhiding Yu, Yisong Yue, Animashree Anandkumar, Anqi Liu, Junchi Yan |
| 2023 | Learning Causal Effects on Hypergraphs (Extended Abstract). Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan |
| 2023 | Learning Constraint Networks over Unknown Constraint Languages. Christian Bessiere, Clément Carbonnel, Areski Himeur |
| 2023 | Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval (Extended Abstract). Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma |
| 2023 | Learning Dissemination Strategies for External Sources in Opinion Dynamic Models with Cognitive Biases. Abdullah Al Maruf, Luyao Niu, Bhaskar Ramasubramanian, Andrew Clark, Radha Poovendran |
| 2023 | Learning Efficient Truthful Mechanisms for Trading Networks. Takayuki Osogami, Segev Wasserkrug, Elisheva S. Shamash |
| 2023 | Learning Few-shot Sample-set Operations for Noisy Multi-label Aspect Category Detection. Shiman Zhao, Wei Chen, Tengjiao Wang |
| 2023 | Learning Gaussian Mixture Representations for Tensor Time Series Forecasting. Jiewen Deng, Jinliang Deng, Renhe Jiang, Xuan Song |
| 2023 | Learning Heuristically-Selected and Neurally-Guided Feature for Age Group Recognition Using Unconstrained Smartphone Interaction. Yingmao Miao, Qiwei Tian, Chenhao Lin, Tianle Song, Yajie Zhou, Junyi Zhao, Shuxin Gao, Minghui Yang, Chao Shen |
| 2023 | Learning Monocular Depth in Dynamic Environment via Context-aware Temporal Attention. Zizhang Wu, Zhuozheng Li, Zhi-Gang Fan, Yunzhe Wu, Yuanzhu Gan, Jian Pu |
| 2023 | Learning Object Consistency and Interaction in Image Generation from Scene Graphs. Yangkang Zhang, Chenye Meng, Zejian Li, Pei Chen, Guang Yang, Changyuan Yang, Lingyun Sun |
| 2023 | Learning Preference Models with Sparse Interactions of Criteria. Margot Herin, Patrice Perny, Nataliya Sokolovska |
| 2023 | Learning Prototype Classifiers for Long-Tailed Recognition. Saurabh Sharma, Yongqin Xian, Ning Yu, Ambuj K. Singh |
| 2023 | Learning Small Decision Trees with Large Domain. Eduard Eiben, Sebastian Ordyniak, Giacomo Paesani, Stefan Szeider |
| 2023 | Learning Summary-Worthy Visual Representation for Abstractive Summarization in Video. Zenan Xu, Xiaojun Meng, Yasheng Wang, Qinliang Su, Zexuan Qiu, Xin Jiang, Qun Liu |
| 2023 | Learning Survival Distribution with Implicit Survival Function. Yu Ling, Weimin Tan, Bo Yan |
| 2023 | Learning When to Advise Human Decision Makers. Gali Noti, Yiling Chen |
| 2023 | Learning When to Use Automatic Tabulation in Constraint Model Reformulation. Carlo Cena, Özgür Akgün, Zeynep Kiziltan, Ian Miguel, Peter Nightingale, Felix Ulrich-Oltean |
| 2023 | Learning and Reasoning Multifaceted and Longitudinal Data for Poverty Estimates and Livelihood Capabilities of Lagged Regions in Rural India. Atharva Kulkarni, Raya Das, Ravi S. Srivastava, Tanmoy Chakraborty |
| 2023 | Learning in Multi-Memory Games Triggers Complex Dynamics Diverging from Nash Equilibrium. Yuma Fujimoto, Kaito Ariu, Kenshi Abe |
| 2023 | Learning to Act for Perceiving in Partially Unknown Environments. Leonardo Lamanna, Mohamadreza Faridghasemnia, Alfonso Gerevini, Alessandro Saetti, Alessandro Saffiotti, Luciano Serafini, Paolo Traverso |
| 2023 | Learning to Binarize Continuous Features for Neuro-Rule Networks. Wei Zhang, Yongxiang Liu, Zhuo Wang, Jianyong Wang |
| 2023 | Learning to Design Fair and Private Voting Rules (Extended Abstract). Farhad Mohsin, Ao Liu, Pin-Yu Chen, Francesca Rossi, Lirong Xia |
| 2023 | Learning to Learn from Corrupted Data for Few-Shot Learning. Yuexuan An, Xingyu Zhao, Hui Xue |
| 2023 | Learning to Self-Reconfigure for Freeform Modular Robots via Altruism Proximal Policy Optimization. Lei Wu, Bin Guo, Qiuyun Zhang, Zhuo Sun, Jieyi Zhang, Zhiwen Yu |
| 2023 | Learning to Send Reinforcements: Coordinating Multi-Agent Dynamic Police Patrol Dispatching and Rescheduling via Reinforcement Learning. Waldy Joe, Hoong Chuin Lau |
| 2023 | Learning to Speak from Text: Zero-Shot Multilingual Text-to-Speech with Unsupervised Text Pretraining. Takaaki Saeki, Soumi Maiti, Xinjian Li, Shinji Watanabe, Shinnosuke Takamichi, Hiroshi Saruwatari |
| 2023 | Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation. Yanrui Du, Jing Yan, Yan Chen, Jing Liu, Sendong Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Bing Qin |
| 2023 | Leveraging Argumentation for Generating Robust Sample-based Explanations. Leila Amgoud, Philippe Muller, Henri Trenquier |
| 2023 | Leveraging Domain Knowledge for Inclusive and Bias-aware Humanitarian Response Entry Classification. Nicolò Tamagnone, Selim Fekih, Ximena Contla, Nayid Orozco, Navid Rekabsaz |
| 2023 | Levin Tree Search with Context Models. Laurent Orseau, Marcus Hutter, Levi H. S. Lelis |
| 2023 | Lifelong Multi-view Spectral Clustering. Hecheng Cai, Yuze Tan, Shudong Huang, Jiancheng Lv |
| 2023 | Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare. Panayiotis Danassis, Shresth Verma, Jackson A. Killian, Aparna Taneja, Milind Tambe |
| 2023 | Linear Query Approximation Algorithms for Non-monotone Submodular Maximization under Knapsack Constraint. Canh V. Pham, Tan D. Tran, Dung K. T. Ha, My T. Thai |
| 2023 | LingGe: An Automatic Ancient Chinese Poem-to-Song Generation System. Yong Shan, Jinchao Zhang, Huiying Ren, Yao Qiu, Jie Zhou |
| 2023 | Linguistic More: Taking a Further Step toward Efficient and Accurate Scene Text Recognition. Boqiang Zhang, Hongtao Xie, Yuxin Wang, Jianjun Xu, Yongdong Zhang |
| 2023 | Local and Global: Temporal Question Answering via Information Fusion. Yonghao Liu, Di Liang, Mengyu Li, Fausto Giunchiglia, Ximing Li, Sirui Wang, Wei Wu, Lan Huang, Xiaoyue Feng, Renchu Guan |
| 2023 | Local-Global Transformer Enhanced Unfolding Network for Pan-sharpening. Mingsong Li, Yikun Liu, Tao Xiao, Yuwen Huang, Gongping Yang |
| 2023 | Locate, Refine and Restore: A Progressive Enhancement Network for Camouflaged Object Detection. Xiaofei Li, Jiaxin Yang, Shuohao Li, Jun Lei, Jun Zhang, Dong Chen |
| 2023 | Long-term Monitoring of Bird Flocks in the Wild. Kshitiz, Sonu Shreshtha, Ramy Mounir, Mayank Vatsa, Richa Singh, Saket Anand, Sudeep Sarkar, Sevaram Mali Parihar |
| 2023 | Long-term Wind Power Forecasting with Hierarchical Spatial-Temporal Transformer. Yang Zhang, Lingbo Liu, Xinyu Xiong, Guanbin Li, Guoli Wang, Liang Lin |
| 2023 | Low-Confidence Samples Mining for Semi-supervised Object Detection. Guandu Liu, Fangyuan Zhang, Tianxiang Pan, Jun-Hai Yong, Bin Wang |
| 2023 | MA2CL: Masked Attentive Contrastive Learning for Multi-Agent Reinforcement Learning. Haolin Song, Mingxiao Feng, Wengang Zhou, Houqiang Li |
| 2023 | MAT: Mixed-Strategy Game of Adversarial Training in Fine-tuning. Zhehua Zhong, Tianyi Chen, Zhen Wang |
| 2023 | MILD: Modeling the Instance Learning Dynamics for Learning with Noisy Labels. Chuanyang Hu, Shipeng Yan, Zhitong Gao, Xuming He |
| 2023 | MM-PCQA: Multi-Modal Learning for No-reference Point Cloud Quality Assessment. Zicheng Zhang, Wei Sun, Xiongkuo Min, Qiyuan Wang, Jun He, Quan Zhou, Guangtao Zhai |
| 2023 | MMPN: Multi-supervised Mask Protection Network for Pansharpening. Changjie Chen, Yong Yang, Shuying Huang, Wei Tu, Weiguo Wan, Shengna Wei |
| 2023 | MV-Datalog+/-: Effective Rule-based Reasoning with Uncertain Observations (Extended Abstract). Matthias Lanzinger, Stefano Sferrazza, Georg Gottlob |
| 2023 | Machine Learning Driven Aid Classification for Sustainable Development. Junho Lee, Hyeonho Song, Dongjoon Lee, Sundong Kim, Jisoo Sim, Meeyoung Cha, Kyung Ryul Park |
| 2023 | Machine Learning for Cutting Planes in Integer Programming: A Survey. Arnaud Deza, Elias B. Khalil |
| 2023 | Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose. Yichen Zhang, Jiehong Lin, Ke Chen, Zelin Xu, Yaowei Wang, Kui Jia |
| 2023 | Matchings under One-Sided Preferences with Soft Quotas. Santhini K. A., Raghu Raman Ravi, Meghana Nasre |
| 2023 | Matting Moments: A Unified Data-Driven Matting Engine for Mobile AIGC in Photo Gallery. Yanhao Zhang, Fanyi Wang, Weixuan Sun, Jingwen Su, Peng Liu, Yaqian Li, Xinjie Feng, Zhengxia Zou |
| 2023 | Max Markov Chain. Yu Zhang, Mitchell Bucklew |
| 2023 | Maximin-Aware Allocations of Indivisible Chores with Symmetric and Asymmetric Agents. Tianze Wei, Bo Li, Minming Li |
| 2023 | Mean Payoff Optimization for Systems of Periodic Service and Maintenance. David Klaska, Antonín Kucera, Vít Musil, Vojtech Rehák |
| 2023 | Mean-Semivariance Policy Optimization via Risk-Averse Reinforcement Learning (Extended Abstract). Xiaoteng Ma, Shuai Ma, Li Xia, Qianchuan Zhao |
| 2023 | Measuring Acoustics with Collaborative Multiple Agents. Yinfeng Yu, Changan Chen, Lele Cao, Fangkai Yang, Fuchun Sun |
| 2023 | Measuring a Priori Voting Power in Liquid Democracy. Rachael Colley, Théo Delemazure, Hugo Gilbert |
| 2023 | Measuring and Controlling Divisiveness in Rank Aggregation. Rachael Colley, Umberto Grandi, César A. Hidalgo, Mariana Macedo, Carlos Navarrete |
| 2023 | Memory-Limited Model-Based Diagnosis (Extended Abstract). Patrick Rodler |
| 2023 | Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification. Menglong Lu, Zhen Huang, Zhiliang Tian, Yunxiang Zhao, Xuanyu Fei, Dongsheng Li |
| 2023 | Mimicking the Thinking Process for Emotion Recognition in Conversation with Prompts and Paraphrasing. Ting Zhang, Zhuang Chen, Ming Zhong, Tieyun Qian |
| 2023 | Minimally Supervised Contextual Inference from Human Mobility: An Iterative Collaborative Distillation Framework. Jiayun Zhang, Xinyang Zhang, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang |
| 2023 | Minimizing Reachability Times on Temporal Graphs via Shifting Labels. Argyrios Deligkas, Eduard Eiben, George Skretas |
| 2023 | Mitigating Disparity while Maximizing Reward: Tight Anytime Guarantee for Improving Bandits. Vishakha Patil, Vineet Nair, Ganesh Ghalme, Arindam Khan |
| 2023 | Model Conversion via Differentially Private Data-Free Distillation. Bochao Liu, Pengju Wang, Shikun Li, Dan Zeng, Shiming Ge |
| 2023 | Model Predictive Control with Reach-avoid Analysis. Dejin Ren, Wanli Lu, Jidong Lv, Lijun Zhang, Bai Xue |
| 2023 | Modeling Moral Choices in Social Dilemmas with Multi-Agent Reinforcement Learning. Elizaveta Tennant, Stephen Hailes, Mirco Musolesi |
| 2023 | Modeling the Impact of Policy Interventions for Sustainable Development. Sowmith Nandan Rachuri, Arpitha Malavalli, Niharika Sri Parasa, Pooja Bassin, Srinath Srinivasa |
| 2023 | Modeling with Homophily Driven Heterogeneous Data in Gossip Learning. Abhirup Ghosh, Cecilia Mascolo |
| 2023 | MolHF: A Hierarchical Normalizing Flow for Molecular Graph Generation. Yiheng Zhu, Zhenqiu Ouyang, Ben Liao, Jialu Wu, Yixuan Wu, Chang-Yu Hsieh, Tingjun Hou, Jian Wu |
| 2023 | Moral Planning Agents with LTL Values. Umberto Grandi, Emiliano Lorini, Timothy Parker |
| 2023 | More for Less: Safe Policy Improvement with Stronger Performance Guarantees. Patrick Wienhöft, Marnix Suilen, Thiago D. Simão, Clemens Dubslaff, Christel Baier, Nils Jansen |
| 2023 | Motion Planning Under Uncertainty with Complex Agents and Environments via Hybrid Search (Extended Abstract). Daniel Strawser, Brian Williams |
| 2023 | Multi-Agent Advisor Q-Learning (Extended Abstract). Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley |
| 2023 | Multi-Agent Intention Recognition and Progression. Michael Dann, Yuan Yao, Natasha Alechina, Brian Logan, Felipe Meneguzzi, John Thangarajah |
| 2023 | Multi-Agent Systems with Quantitative Satisficing Goals. Senthil Rajasekaran, Suguman Bansal, Moshe Y. Vardi |
| 2023 | Multi-Modality Deep Network for JPEG Artifacts Reduction. Xuhao Jiang, Weimin Tan, Qing Lin, Chenxi Ma, Bo Yan, Liquan Shen |
| 2023 | Multi-Robot Coordination and Layout Design for Automated Warehousing. Yulun Zhang, Matthew C. Fontaine, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li |
| 2023 | Multi-Scale Subgraph Contrastive Learning. Yanbei Liu, Yu Zhao, Xiao Wang, Lei Geng, Zhitao Xiao |
| 2023 | Multi-Task Learning via Time-Aware Neural ODE. Feiyang Ye, Xuehao Wang, Yu Zhang, Ivor W. Tsang |
| 2023 | Multi-View Robust Graph Representation Learning for Graph Classification. Guanghui Ma, Chunming Hu, Ling Ge, Hong Zhang |
| 2023 | Multi-level Graph Contrastive Prototypical Clustering. Yuchao Zhang, Yuan Yuan, Qi Wang |
| 2023 | Multi-objective Optimization-based Selection for Quality-Diversity by Non-surrounded-dominated Sorting. Ren-Jian Wang, Ke Xue, Haopu Shang, Chao Qian, Haobo Fu, Qiang Fu |
| 2023 | Multi-view Contrastive Learning Hypergraph Neural Network for Drug-Microbe-Disease Association Prediction. Luotao Liu, Feng Huang, Xuan Liu, Zhankun Xiong, Menglu Li, Congzhi Song, Wen Zhang |
| 2023 | MultiPar-T: Multiparty-Transformer for Capturing Contingent Behaviors in Group Conversations. Dong Won Lee, Yubin Kim, Rosalind W. Picard, Cynthia Breazeal, Hae Won Park |
| 2023 | Musical Voice Separation as Link Prediction: Modeling a Musical Perception Task as a Multi-Trajectory Tracking Problem. Emmanouil Karystinaios, Francesco Foscarin, Gerhard Widmer |
| 2023 | NAS-FM: Neural Architecture Search for Tunable and Interpretable Sound Synthesis Based on Frequency Modulation. Zhen Ye, Wei Xue, Xu Tan, Qifeng Liu, Yike Guo |
| 2023 | Negative Flux Aggregation to Estimate Feature Attributions. Xin Li, Deng Pan, Chengyin Li, Yao Qiang, Dongxiao Zhu |
| 2023 | NeoMaPy: A Framework for Computing MAP Inference on Temporal Knowledge Graphs. Victor David, Raphaël Fournier-S'niehotta, Nicolas Travers |
| 2023 | NerCo: A Contrastive Learning Based Two-Stage Chinese NER Method. Zai Zhang, Bin Shi, Haokun Zhang, Huang Xu, Yaodong Zhang, Yuefei Wu, Bo Dong, Qinghua Zheng |
| 2023 | NeuPSL: Neural Probabilistic Soft Logic. Connor Pryor, Charles Dickens, Eriq Augustine, Alon Albalak, William Yang Wang, Lise Getoor |
| 2023 | Neural Capacitated Clustering. Jonas K. Falkner, Lars Schmidt-Thieme |
| 2023 | Neuro-Symbolic Class Expression Learning. Caglar Demir, Axel-Cyrille Ngonga Ngomo |
| 2023 | Neuro-Symbolic Learning of Answer Set Programs from Raw Data. Daniel Cunnington, Mark Law, Jorge Lobo, Alessandra Russo |
| 2023 | New Algorithms for the Fair and Efficient Allocation of Indivisible Chores. Jugal Garg, Aniket Murhekar, John Qin |
| 2023 | New Bounds and Constraint Programming Models for the Weighted Vertex Coloring Problem. Olivier Goudet, Cyril Grelier, David Lesaint |
| 2023 | New Fairness Concepts for Allocating Indivisible Items. Ioannis Caragiannis, Jugal Garg, Nidhi Rathi, Eklavya Sharma, Giovanna Varricchio |
| 2023 | Non-Lambertian Multispectral Photometric Stereo via Spectral Reflectance Decomposition. Jipeng Lv, Heng Guo, Guanying Chen, Jinxiu Liang, Boxin Shi |
| 2023 | Non-Obvious Manipulability in Extensive-Form Mechanisms: The Revelation Principle for Single-Parameter Agents. Thomas Archbold, Bart de Keijzer, Carmine Ventre |
| 2023 | Norm Deviation in Multiagent Systems: A Foundation for Responsible Autonomy. Amika M. Singh, Munindar P. Singh |
| 2023 | Not Only Pairwise Relationships: Fine-Grained Relational Modeling for Multivariate Time Series Forecasting. Jinming Wu, Qi Qi, Jingyu Wang, Haifeng Sun, Zhikang Wu, Zirui Zhuang, Jianxin Liao |
| 2023 | Null-Space Diffusion Sampling for Zero-Shot Point Cloud Completion. Xinhua Cheng, Nan Zhang, Jiwen Yu, Yinhuai Wang, Ge Li, Jian Zhang |
| 2023 | NutriAI: AI-Powered Child Malnutrition Assessment in Low-Resource Environments. Misaal Khan, Shivang Agarwal, Mayank Vatsa, Richa Singh, Kuldeep Singh |
| 2023 | ODEE: A One-Stage Object Detection Framework for Overlapping and Nested Event Extraction. Jinzhong Ning, Zhihao Yang, Zhizheng Wang, Yuanyuan Sun, Hongfei Lin |
| 2023 | OSDP: Optimal Sharded Data Parallel for Distributed Deep Learning. Youhe Jiang, Fangcheng Fu, Xupeng Miao, Xiaonan Nie, Bin Cui |
| 2023 | OSP2B: One-Stage Point-to-Box Network for 3D Siamese Tracking. Jiahao Nie, Zhiwei He, Yuxiang Yang, Zhengyi Bao, Mingyu Gao, Jing Zhang |
| 2023 | Object Detection in Real Open Environment. Xiaowei Zhao |
| 2023 | On AI-Assisted Pneumoconiosis Detection from Chest X-rays. Yasmeena Akhter, Rishabh Ranjan, Richa Singh, Mayank Vatsa, Santanu Chaudhury |
| 2023 | On Adaptivity and Safety in Sequential Decision Making. Sapana Chaudhary |
| 2023 | On Adversarial Robustness of Demographic Fairness in Face Attribute Recognition. Huimin Zeng, Zhenrui Yue, Lanyu Shang, Yang Zhang, Dong Wang |
| 2023 | On Approximating Total Variation Distance. Arnab Bhattacharyya, Sutanu Gayen, Kuldeep S. Meel, Dimitrios Myrisiotis, A. Pavan, N. V. Vinodchandran |
| 2023 | On Building a Semi-Automated Framework for Generating Causal Bayesian Networks from Raw Text. Solat J. Sheikh |
| 2023 | On Conditional and Compositional Language Model Differentiable Prompting. Jonathan Pilault, Can Liu, Mohit Bansal, Markus Dreyer |
| 2023 | On Discovering Interesting Combinatorial Integer Sequences. Martin Svatos, Peter Jung, Jan Tóth, Yuyi Wang, Ondrej Kuzelka |
| 2023 | On Efficient Transformer-Based Image Pre-training for Low-Level Vision. Wenbo Li, Xin Lu, Shengju Qian, Jiangbo Lu |
| 2023 | On Lower Bounds for Maximin Share Guarantees. Halvard Hummel |
| 2023 | On Optimal Strategies for Wordle and General Guessing Games. Michael Cunanan, Michael Thielscher |
| 2023 | On Optimizing Model Generality in AI-based Disaster Damage Assessment: A Subjective Logic-driven Crowd-AI Hybrid Learning Approach. Yang Zhang, Ruohan Zong, Lanyu Shang, Huimin Zeng, Zhenrui Yue, Na Wei, Dong Wang |
| 2023 | On Tackling Explanation Redundancy in Decision Trees (Extended Abstract). Yacine Izza, Alexey Ignatiev, João Marques-Silva |
| 2023 | On Translations between ML Models for XAI Purposes. Alexis de Colnet, Pierre Marquis |
| 2023 | On a Voter Model with Context-Dependent Opinion Adoption. Luca Becchetti, Vincenzo Bonifaci, Emilio Cruciani, Francesco Pasquale |
| 2023 | On the Compilability of Bounded Numeric Planning. Nicola Gigante, Enrico Scala |
| 2023 | On the Complexity of Counterfactual Reasoning. Yunqiu Han, Yizuo Chen, Adnan Darwiche |
| 2023 | On the Fairness Impacts of Private Ensembles Models. Cuong Tran, Ferdinando Fioretto |
| 2023 | On the Paradox of Learning to Reason from Data. Honghua Zhang, Liunian Harold Li, Tao Meng, Kai-Wei Chang, Guy Van den Broeck |
| 2023 | On the Reuse Bias in Off-Policy Reinforcement Learning. Chengyang Ying, Zhongkai Hao, Xinning Zhou, Hang Su, Dong Yan, Jun Zhu |
| 2023 | On the Role of Memory in Robust Opinion Dynamics. Luca Becchetti, Andrea Clementi, Amos Korman, Francesco Pasquale, Luca Trevisan, Robin Vacus |
| 2023 | On the Study of Curriculum Learning for Inferring Dispatching Policies on the Job Shop Scheduling. Zangir Iklassov, Dmitrii Medvedev, Ruben Solozabal Ochoa de Retana, Martin Takác |
| 2023 | One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER. Xiang Chen, Lei Li, Shuofei Qiao, Ningyu Zhang, Chuanqi Tan, Yong Jiang, Fei Huang, Huajun Chen |
| 2023 | One Model, Any CSP: Graph Neural Networks as Fast Global Search Heuristics for Constraint Satisfaction. Jan Tönshoff, Berke Kisin, Jakob Lindner, Martin Grohe |
| 2023 | Online Certification of Preference-Based Fairness for Personalized Recommender Systems (Extended Abstract). Virginie Do, Sam Corbett-Davies, Jamal Atif, Nicolas Usunier |
| 2023 | Online Harmonizing Gradient Descent for Imbalanced Data Streams One-Pass Classification. Han Zhou, Hongpeng Yin, Xuanhong Deng, Yuyu Huang |
| 2023 | Online Task Assignment with Controllable Processing Time. Ruoyu Wu, Wei Bao, Liming Ge |
| 2023 | Open Anomalous Trajectory Recognition via Probabilistic Metric Learning. Qiang Gao, Xiaohan Wang, Chaoran Liu, Goce Trajcevski, Li Huang, Fan Zhou |
| 2023 | Open-world Semi-supervised Novel Class Discovery. Jiaming Liu, Yangqiming Wang, Tongze Zhang, Yulu Fan, Qinli Yang, Junming Shao |
| 2023 | OptIForest: Optimal Isolation Forest for Anomaly Detection. Haolong Xiang, Xuyun Zhang, Hongsheng Hu, Lianyong Qi, Wanchun Dou, Mark Dras, Amin Beheshti, Xiaolong Xu |
| 2023 | Optimal Anytime Coalition Structure Generation Utilizing Compact Solution Space Representation. Redha Taguelmimt, Samir Aknine, Djamila Boukredera, Narayan Changder, Tuomas Sandholm |
| 2023 | Optimal Decision Tree Policies for Markov Decision Processes. Daniël Vos, Sicco Verwer |
| 2023 | Optimal Decision Trees For Interpretable Clustering with Constraints. Pouya Shati, Eldan Cohen, Sheila A. McIlraith |
| 2023 | Optimal Seat Arrangement: What Are the Hard and Easy Cases? Esra Ceylan, Jiehua Chen, Sanjukta Roy |
| 2023 | Optimization-driven Demand Prediction Framework for Suburban Dynamic Demand-Responsive Transport Systems. Louis Zigrand, Roberto Wolfler Calvo, Emiliano Traversi, Pegah Alizadeh |
| 2023 | Optimized Crystallographic Graph Generation for Material Science. Astrid Klipfel, Yaël Frégier, Adlane Sayede, Zied Bouraoui |
| 2023 | Optimizing Crop Management with Reinforcement Learning and Imitation Learning. Ran Tao, Pan Zhao, Jing Wu, Nicolas F. Martin, Matthew Tom Harrison, Carla Sofia Santos Ferreira, Zahra Kalantari, Naira Hovakimyan |
| 2023 | Optimizing the Computation of Overriding in DLN (Extended Abstract). Piero A. Bonatti, Iliana M. Petrova, Luigi Sauro |
| 2023 | Ordinal Hedonic Seat Arrangement under Restricted Preference Domains: Swap Stability and Popularity. Anaëlle Wilczynski |
| 2023 | Ordinal Maximin Share Approximation for Goods (Extended Abstract). Hadi Hosseini, Andrew Searns, Erel Segal-Halevi |
| 2023 | Orientation-Independent Chinese Text Recognition in Scene Images. Haiyang Yu, Xiaocong Wang, Bin Li, Xiangyang Xue |
| 2023 | Orion: Online Backdoor Sample Detection via Evolution Deviance. Huayang Huang, Qian Wang, Xueluan Gong, Tao Wang |
| 2023 | Outsourcing Adjudication to Strategic Jurors. Ioannis Caragiannis, Nikolaj I. Schwartzbach |
| 2023 | Overlooked Implications of the Reconstruction Loss for VAE Disentanglement. Nathan Michlo, Richard Klein, Steven James |
| 2023 | PARTNER: A Persuasive Mental Health and Legal Counselling Dialogue System for Women and Children Crime Victims. Priyanshu Priya, Kshitij Mishra, Palak Totala, Asif Ekbal |
| 2023 | PED-ANOVA: Efficiently Quantifying Hyperparameter Importance in Arbitrary Subspaces. Shuhei Watanabe, Archit Bansal, Frank Hutter |
| 2023 | PPAT: Progressive Graph Pairwise Attention Network for Event Causality Identification. Zhenyu Liu, Baotian Hu, Zhenran Xu, Min Zhang |
| 2023 | Parameterized Local Search for Max c-Cut. Jaroslav Garvardt, Niels Grüttemeier, Christian Komusiewicz, Nils Morawietz |
| 2023 | Parametrized Gradual Semantics Dealing with Varied Degrees of Compensation. Dragan Doder, Leila Amgoud, Srdjan Vesic |
| 2023 | Part Aware Contrastive Learning for Self-Supervised Action Recognition. Yilei Hua, Wenhan Wu, Ce Zheng, Aidong Lu, Mengyuan Liu, Chen Chen, Shiqian Wu |
| 2023 | Participatory Budgeting with Multiple Degrees of Projects and Ranged Approval Votes. Gogulapati Sreedurga |
| 2023 | Participatory Budgeting: Data, Tools and Analysis. Piotr Faliszewski, Jaroslaw Flis, Dominik Peters, Grzegorz Pierczynski, Piotr Skowron, Dariusz Stolicki, Stanislaw Szufa, Nimrod Talmon |
| 2023 | PasCore: A Chinese Overlapping Relation Extraction Model Based on Global Pointer Annotation Strategy. Peng Wang, Jiafeng Xie, Xiye Chen, Guozheng Li, Wei Li |
| 2023 | PathLAD+: An Improved Exact Algorithm for Subgraph Isomorphism Problem. Yiyuan Wang, Chenghou Jin, Shaowei Cai, Qingwei Lin |
| 2023 | Physics-Guided Human Motion Capture with Pose Probability Modeling. Jingyi Ju, Buzhen Huang, Chen Zhu, Zhihao Li, Yangang Wang |
| 2023 | Planning Multiple Epidemic Interventions with Reinforcement Learning. Anh L. Mai, Nikunj Gupta, Azza Abouzied, Dennis E. Shasha |
| 2023 | Plansformer Tool: Demonstrating Generation of Symbolic Plans Using Transformers. Vishal Pallagani, Bharath Muppasani, Biplav Srivastava, Francesca Rossi, Lior Horesh, Keerthiram Murugesan, Andrea Loreggia, Francesco Fabiano, Rony Joseph, Yathin Kethepalli |
| 2023 | Poisoning the Well: Can We Simultaneously Attack a Group of Learning Agents? Ridhima Bector, Hang Xu, Abhay Aradhya, Chai Quek, Zinovi Rabinovich |
| 2023 | PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird's-Eye View. Peizheng Li, Shuxiao Ding, Xieyuanli Chen, Niklas Hanselmann, Marius Cordts, Juergen Gall |
| 2023 | Practical Model Reductions for Verification of Multi-Agent Systems. Wojciech Jamroga, Yan Kim |
| 2023 | Prediction with Incomplete Data under Agnostic Mask Distribution Shift. Yichen Zhu, Jian Yuan, Bo Jiang, Tao Lin, Haiming Jin, Xinbing Wang, Chenghu Zhou |
| 2023 | Predictive Modelling of Human Reasoning Using AGM Belief Revision. Clayton K. Baker |
| 2023 | Preferences and Constraints in Abstract Argumentation. Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna |
| 2023 | Preventing Attacks in Interbank Credit Rating with Selective-aware Graph Neural Network. Junyi Liu, Dawei Cheng, Changjun Jiang |
| 2023 | Principal-Agent Boolean Games. David Hyland, Julian Gutierrez, Michael J. Wooldridge |
| 2023 | Privacy-Preserving End-to-End Spoken Language Understanding. Yinggui Wang, Wei Huang, Le Yang |
| 2023 | ProMix: Combating Label Noise via Maximizing Clean Sample Utility. Ruixuan Xiao, Yiwen Dong, Haobo Wang, Lei Feng, Runze Wu, Gang Chen, Junbo Zhao |
| 2023 | Probabilistic Masked Attention Networks for Explainable Sequential Recommendation. Huiyuan Chen, Kaixiong Zhou, Zhimeng Jiang, Chin-Chia Michael Yeh, Xiaoting Li, Menghai Pan, Yan Zheng, Xia Hu, Hao Yang |
| 2023 | Probabilistic Planning with Prioritized Preferences over Temporal Logic Objectives. Lening Li, Hazhar Rahmani, Jie Fu |
| 2023 | Probabilistic Rule Induction from Event Sequences with Logical Summary Markov Models. Debarun Bhattacharjya, Oktie Hassanzadeh, Ronny Luss, Keerthiram Murugesan |
| 2023 | Probabilistic Temporal Logic for Reasoning about Bounded Policies. Nima Motamed, Natasha Alechina, Mehdi Dastani, Dragan Doder, Brian Logan |
| 2023 | Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI 2023, 19th-25th August 2023, Macao, SAR, China |
| 2023 | Progressive Label Propagation for Semi-Supervised Multi-Dimensional Classification. Teng Huang, Bin-Bin Jia, Min-Ling Zhang |
| 2023 | Promoting Gender Equality through Gender-biased Language Analysis in Social Media. Gopendra Vikram Singh, Soumitra Ghosh, Asif Ekbal |
| 2023 | Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data. Shengchao Chen, Guodong Long, Tao Shen, Jing Jiang |
| 2023 | Prompt Learns Prompt: Exploring Knowledge-Aware Generative Prompt Collaboration For Video Captioning. Liqi Yan, Cheng Han, Zenglin Xu, Dongfang Liu, Qifan Wang |
| 2023 | Proofs and Certificates for Max-SAT (Extended Abstract). Matthieu Py, Mohamed Sami Cherif, Djamal Habet |
| 2023 | Proportionality Guarantees in Elections with Interdependent Issues. Markus Brill, Evangelos Markakis, Georgios Papasotiropoulos, Jannik Peters |
| 2023 | Proportionally Fair Online Allocation of Public Goods with Predictions. Siddhartha Banerjee, Vasilis Gkatzelis, Safwan Hossain, Billy Jin, Evi Micha, Nisarg Shah |
| 2023 | Pseudo-Labeling Enhanced by Privileged Information and Its Application to In Situ Sequencing Images. Marzieh Haghighi, Mario C. Cruz, Erin Weisbart, Beth A. Cimini, Avtar Singh, Julia Bauman, Maria E. Lozada, Sanam L. Kavari, James T. Neal, Paul C. Blainey, Anne E. Carpenter, Shantanu Singh |
| 2023 | Pushing the Limits of Fairness in Algorithmic Decision-Making. Nisarg Shah |
| 2023 | Pyramid Diffusion Models for Low-light Image Enhancement. Dewei Zhou, Zongxin Yang, Yi Yang |
| 2023 | Q&A: Query-Based Representation Learning for Multi-Track Symbolic Music re-Arrangement. Jingwei Zhao, Gus Xia, Ye Wang |
| 2023 | Q-Learning-Based Model Predictive Variable Impedance Control for Physical Human-Robot Collaboration (Extended Abstract). Loris Roveda, Andrea Testa, Asad Ali Shahid, Francesco Braghin, Dario Piga |
| 2023 | Quality-agnostic Image Captioning to Safely Assist People with Vision Impairment. Lu Yu, Malvina Nikandrou, Jiali Jin, Verena Rieser |
| 2023 | Quantifying Consistency and Information Loss for Causal Abstraction Learning. Fabio Massimo Zennaro, Paolo Turrini, Theodoros Damoulas |
| 2023 | Quantifying Harm. Sander Beckers, Hana Chockler, Joseph Y. Halpern |
| 2023 | Quantitative Reasoning and Structural Complexity for Claim-Centric Argumentation. Johannes Klaus Fichte, Markus Hecher, Yasir Mahmood, Arne Meier |
| 2023 | Quick Multi-Robot Motion Planning by Combining Sampling and Search. Keisuke Okumura, Xavier Défago |
| 2023 | RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation. Qucheng Peng, Zhengming Ding, Lingjuan Lyu, Lichao Sun, Chen Chen |
| 2023 | REPLACE: A Logical Framework for Combining Collective Entity Resolution and Repairing. Meghyn Bienvenu, Gianluca Cima, Víctor Gutiérrez-Basulto |
| 2023 | RFENet: Towards Reciprocal Feature Evolution for Glass Segmentation. Ke Fan, Changan Wang, Yabiao Wang, Chengjie Wang, Ran Yi, Lizhuang Ma |
| 2023 | RZCR: Zero-shot Character Recognition via Radical-based Reasoning. Xiaolei Diao, Daqian Shi, Hao Tang, Qiang Shen, Yanzeng Li, Lei Wu, Hao Xu |
| 2023 | RaMLP: Vision MLP via Region-aware Mixing. Shenqi Lai, Xi Du, Jia Guo, Kaipeng Zhang |
| 2023 | RaSa: Relation and Sensitivity Aware Representation Learning for Text-based Person Search. Yang Bai, Min Cao, Daming Gao, Ziqiang Cao, Chen Chen, Zhenfeng Fan, Liqiang Nie, Min Zhang |
| 2023 | Rainbow Cycle Number and EFX Allocations: (Almost) Closing the Gap. Shayan Chashm Jahan, Masoud Seddighin, Seyed-Mohammad Seyed-Javadi, Mohammad Sharifi |
| 2023 | Random Assignment of Indivisible Goods under Constraints. Yasushi Kawase, Hanna Sumita, Yu Yokoi |
| 2023 | Ranking-based Argumentation Semantics Applied to Logical Argumentation. Jesse Heyninck, Badran Raddaoui, Christian Straßer |
| 2023 | ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks. Alexandra Baier, Decky Aspandi, Steffen Staab |
| 2023 | RePaint-NeRF: NeRF Editting via Semantic Masks and Diffusion Models. Xingchen Zhou, Ying He, F. Richard Yu, Jianqiang Li, You Li |
| 2023 | Realistic Cell Type Annotation and Discovery for Single-cell RNA-seq Data. Yuyao Zhai, Liang Chen, Minghua Deng |
| 2023 | Recent Advances in Direct Speech-to-text Translation. Chen Xu, Rong Ye, Qianqian Dong, Chengqi Zhao, Tom Ko, Mingxuan Wang, Tong Xiao, Jingbo Zhu |
| 2023 | Recognizable Information Bottleneck. Yilin Lyu, Xin Liu, Mingyang Song, Xinyue Wang, Yaxin Peng, Tieyong Zeng, Liping Jing |
| 2023 | Reconstruction-Aware Prior Distillation for Semi-supervised Point Cloud Completion. Zhaoxin Fan, Yulin He, Zhicheng Wang, Kejian Wu, Hongyan Liu, Jun He |
| 2023 | Recursive Small-Step Multi-Agent A* for Dec-POMDPs. Wietze Koops, Nils Jansen, Sebastian Junges, Thiago D. Simão |
| 2023 | Reducing Communication for Split Learning by Randomized Top-k Sparsification. Fei Zheng, Chaochao Chen, Lingjuan Lyu, Binhui Yao |
| 2023 | Regularisation for Efficient Softmax Parameter Generation in Low-Resource Text Classifiers. Daniel Grießhaber, Johannes Maucher, Ngoc Thang Vu |
| 2023 | Reinforcement Learning Approaches for Traffic Signal Control under Missing Data. Hao Mei, Junxian Li, Bin Shi, Hua Wei |
| 2023 | Reinforcement Learning from Optimization Proxy for Ride-Hailing Vehicle Relocation (Extended Abstract). Enpeng Yuan, Wenbo Chen, Pascal Van Hentenryck |
| 2023 | Relation-enhanced DETR for Component Detection in Graphic Design Reverse Engineering. Xixuan Hao, Danqing Huang, Jieru Lin, Chin-Yew Lin |
| 2023 | Relative Inconsistency Measures for Indefinite Databases with Denial Constraints. Francesco Parisi, John Grant |
| 2023 | Reliable Neuro-Symbolic Abstractions for Planning and Learning. Naman Shah |
| 2023 | Rethinking Formal Models of Partially Observable Multiagent Decision Making (Extended Abstract). Vojtech Kovarík, Martin Schmid, Neil Burch, Michael Bowling, Viliam Lisý |
| 2023 | Revenue Maximization Mechanisms for an Uninformed Mediator with Communication Abilities. Zhikang Fan, Weiran Shen |
| 2023 | Reverse Engineering of Temporal Queries Mediated by LTL Ontologies. Marie Fortin, Boris Konev, Vladislav Ryzhikov, Yury Savateev, Frank Wolter, Michael Zakharyaschev |
| 2023 | Revisiting the Evaluation of Deep Learning-Based Compiler Testing. Yongqiang Tian, Zhenyang Xu, Yiwen Dong, Chengnian Sun, Shing-Chi Cheung |
| 2023 | Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways (Extended Abstract). Francesco Fabbri, Yanhao Wang, Francesco Bonchi, Carlos Castillo, Michael Mathioudakis |
| 2023 | Robust Image Ordinal Regression with Controllable Image Generation. Yi Cheng, Haochao Ying, Renjun Hu, Jinhong Wang, Wenhao Zheng, Xiao Zhang, Danny Z. Chen, Jian Wu |
| 2023 | Robust Reinforcement Learning via Progressive Task Sequence. Yike Li, Yunzhe Tian, Endong Tong, Wenjia Niu, Jiqiang Liu |
| 2023 | Robust Steganography without Embedding Based on Secure Container Synthesis and Iterative Message Recovery. Ziping Ma, Yuesheng Zhu, Guibo Luo, Xiyao Liu, Gerald Schaefer, Hui Fang |
| 2023 | RuleMatch: Matching Abstract Rules for Semi-supervised Learning of Human Standard Intelligence Tests. Yunlong Xu, Lingxiao Yang, Hongzhi You, Zonglei Zhen, Da-Hui Wang, Xiaohong Wan, Xiaohua Xie, Ru-Yuan Zhang |
| 2023 | Runtime Analyses of Multi-Objective Evolutionary Algorithms in the Presence of Noise. Matthieu Dinot, Benjamin Doerr, Ulysse Hennebelle, Sebastian Will |
| 2023 | SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs. Sheng Tian, Jihai Dong, Jintang Li, Wenlong Zhao, Xiaolong Xu, Baokun Wang, Bowen Song, Changhua Meng, Tianyi Zhang, Liang Chen |
| 2023 | SAMBA: A Generic Framework for Secure Federated Multi-Armed Bandits (Extended Abstract). Radu Ciucanu, Pascal Lafourcade, Gaël Marcadet, Marta Soare |
| 2023 | SAT Encodings for Pseudo-Boolean Constraints Together With At-Most-One Constraints (Extended Abstract). Miquel Bofill, Jordi Coll, Peter Nightingale, Josep Suy, Felix Ulrich-Oltean, Mateu Villaret |
| 2023 | SAT-Based PAC Learning of Description Logic Concepts. Balder ten Cate, Maurice Funk, Jean Christoph Jung, Carsten Lutz |
| 2023 | SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles. Cuong Tran, Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck |
| 2023 | SGAT4PASS: Spherical Geometry-Aware Transformer for PAnoramic Semantic Segmentation. Xuewei Li, Tao Wu, Zhongang Qi, Gaoang Wang, Ying Shan, Xi Li |
| 2023 | SLViT: Scale-Wise Language-Guided Vision Transformer for Referring Image Segmentation. Shuyi Ouyang, Hongyi Wang, Shiao Xie, Ziwei Niu, Ruofeng Tong, Yen-Wei Chen, Lanfen Lin |
| 2023 | SMARTformer: Semi-Autoregressive Transformer with Efficient Integrated Window Attention for Long Time Series Forecasting. Yiduo Li, Shiyi Qi, Zhe Li, Zhongwen Rao, Lujia Pan, Zenglin Xu |
| 2023 | SQuAD-SRC: A Dataset for Multi-Accent Spoken Reading Comprehension. Yixuan Tang, Anthony K. H. Tung |
| 2023 | SS-BSN: Attentive Blind-Spot Network for Self-Supervised Denoising with Nonlocal Self-Similarity. Young-Joo Han, Ha-Jin Yu |
| 2023 | SSML-QNet: Scale-Separative Metric Learning Quadruplet Network for Multi-modal Image Patch Matching. Xiuwei Zhang, Yi Sun, Yamin Han, Yanping Li, Hanlin Yin, Yinghui Xing, Yanning Zhang |
| 2023 | STS-GAN: Can We Synthesize Solid Texture with High Fidelity from Arbitrary 2D Exemplar? Xin Zhao, Jifeng Guo, Lin Wang, Fanqi Li, Jiahao Li, Junteng Zheng, Bo Yang |
| 2023 | SUSTAINABLESIGNALS: An AI Approach for Inferring Consumer Product Sustainability. Tong Lin, Tianliang Xu, Amit Zac, Sabina Tomkins |
| 2023 | SWAT: Spatial Structure Within and Among Tokens. Kumara Kahatapitiya, Michael S. Ryoo |
| 2023 | Safe Multi-agent Learning via Trapping Regions. Aleksander Czechowski, Frans A. Oliehoek |
| 2023 | Safe Reinforcement Learning via Probabilistic Logic Shields. Wen-Chi Yang, Giuseppe Marra, Gavin Rens, Luc De Raedt |
| 2023 | Safety Verification and Universal Invariants for Relational Action Bases. Silvio Ghilardi, Alessandro Gianola, Marco Montali, Andrey Rivkin |
| 2023 | Sample Efficient Model-free Reinforcement Learning from LTL Specifications with Optimality Guarantees. Daqian Shao, Marta Kwiatkowska |
| 2023 | Sample Efficient Paradigms for Personalized Assessment of Taskable AI Systems. Pulkit Verma |
| 2023 | Sampling Ex-Post Group-Fair Rankings. Sruthi Gorantla, Amit Deshpande, Anand Louis |
| 2023 | Sancus: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks (Extended Abstract). Jingshu Peng, Zhao Chen, Yingxia Shao, Yanyan Shen, Lei Chen, Jiannong Cao |
| 2023 | Scalable Communication for Multi-Agent Reinforcement Learning via Transformer-Based Email Mechanism. Xudong Guo, Daming Shi, Wenhui Fan |
| 2023 | Scalable Coupling of Deep Learning with Logical Reasoning. Marianne Defresne, Sophie Barbe, Thomas Schiex |
| 2023 | Scalable Optimal Margin Distribution Machine. Yilin Wang, Nan Cao, Teng Zhang, Xuanhua Shi, Hai Jin |
| 2023 | Scalable Verification of Strategy Logic through Three-Valued Abstraction. Francesco Belardinelli, Angelo Ferrando, Wojciech Jamroga, Vadim Malvone, Aniello Murano |
| 2023 | Scaling Goal-based Exploration via Pruning Proto-goals. Akhil Bagaria, Tom Schaul |
| 2023 | Schelling Games with Continuous Types. Davide Bilò, Vittorio Bilò, Michelle Döring, Pascal Lenzner, Louise Molitor, Jonas Schmidt |
| 2023 | ScriptWorld: Text Based Environment for Learning Procedural Knowledge. Abhinav Joshi, Areeb Ahmad, Umang Pandey, Ashutosh Modi |
| 2023 | SeRO: Self-Supervised Reinforcement Learning for Recovery from Out-of-Distribution Situations. Chan Kim, JaeKyung Cho, Christophe Bobda, Seung-Woo Seo, Seong-Woo Kim |
| 2023 | Self-Recover: Forecasting Block Maxima in Time Series from Predictors with Disparate Temporal Coverage Using Self-Supervised Learning. Asadullah Hill Galib, Andrew McDonald, Pang-Ning Tan, Lifeng Luo |
| 2023 | Self-Supervised Neuron Segmentation with Multi-Agent Reinforcement Learning. Yinda Chen, Wei Huang, Shenglong Zhou, Qi Chen, Zhiwei Xiong |
| 2023 | Self-supervised Graph Disentangled Networks for Review-based Recommendation. Yuyang Ren, Haonan Zhang, Qi Li, Luoyi Fu, Xinbing Wang, Chenghu Zhou |
| 2023 | SemFORMS: Automatic Generation of Semantic Transforms By Mining Data Science Code. Ibrahim Abdelaziz, Julian Dolby, Udayan Khurana, Horst Samulowitz, Kavitha Srinivas |
| 2023 | Semantic-Aware Generation of Multi-View Portrait Drawings. Biao Ma, Fei Gao, Chang Jiang, Nannan Wang, Gang Xu |
| 2023 | Semi-supervised Domain Adaptation in Graph Transfer Learning. Ziyue Qiao, Xiao Luo, Meng Xiao, Hao Dong, Yuanchun Zhou, Hui Xiong |
| 2023 | Semi-supervised Domain Adaptation via Prototype-based Multi-level Learning. Xinyang Huang, Chuang Zhu, Wenkai Chen |
| 2023 | SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein-Protein Interaction Prediction. Ziyuan Zhao, Peisheng Qian, XuLei Yang, Zeng Zeng, Cuntai Guan, Tam Wai Leong, Xiaoli Li |
| 2023 | Sequence Learning Using Equilibrium Propagation. Malyaban Bal, Abhronil Sengupta |
| 2023 | Sequential Attention Source Identification Based on Feature Representation. Dongpeng Hou, Zhen Wang, Chao Gao, Xuelong Li |
| 2023 | Sequential Recommendation with Probabilistic Logical Reasoning. Huanhuan Yuan, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao |
| 2023 | Shaken, and Stirred: Long-Range Dependencies Enable Robust Outlier Detection with PixelCNN++. Barath Mohan Umapathi, Kushal Chauhan, Pradeep Shenoy, Devarajan Sridharan |
| 2023 | Shhh! The Logic of Clandestine Operations. Pavel Naumov, Oliver Orejola |
| 2023 | SiWare: Contextual Understanding of Industrial Data for Situational Awareness. Anuradha Bhamidipaty, Elham Khabiri, Bhavna Agrawal, Yingjie Li |
| 2023 | Sign Language-to-Text Dictionary with Lightweight Transformer Models. Jérôme Fink, Pierre Poitier, Maxime André, Loup Meurice, Benoît Frénay, Anthony Cleve, Bruno Dumas, Laurence Meurant |
| 2023 | Simplification and Improvement of MMS Approximation. Hannaneh Akrami, Jugal Garg, Eklavya Sharma, Setareh Taki |
| 2023 | Simplified Risk-aware Decision Making with Belief-dependent Rewards in Partially Observable Domains (Extended Abstract). Andrey Zhitnikov, Vadim Indelman |
| 2023 | Simulation-Assisted Optimization for Large-Scale Evacuation Planning with Congestion-Dependent Delays. Kazi Ashik Islam, Da Qi Chen, Madhav V. Marathe, Henning S. Mortveit, Samarth Swarup, Anil Vullikanti |
| 2023 | Singularformer: Learning to Decompose Self-Attention to Linearize the Complexity of Transformer. Yifan Wu, Shichao Kan, Min Zeng, Min Li |
| 2023 | Sketch Recognition via Part-based Hierarchical Analogical Learning. Kezhen Chen, Kenneth D. Forbus, Balaji Vasan Srinivasan, Niyati Chhaya, Madeline Usher |
| 2023 | SmartBERT: A Promotion of Dynamic Early Exiting Mechanism for Accelerating BERT Inference. Boren Hu, Yun Zhu, Jiacheng Li, Siliang Tang |
| 2023 | Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training. Dung Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran |
| 2023 | Solving Quantum-Inspired Perfect Matching Problems via Tutte-Theorem-Based Hybrid Boolean Constraints. Moshe Y. Vardi, Zhiwei Zhang |
| 2023 | Solving the Identifying Code Set Problem with Grouped Independent Support. Anna L. D. Latour, Arunabha Sen, Kuldeep S. Meel |
| 2023 | Some General Identification Results for Linear Latent Hierarchical Causal Structure. Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Ruichu Cai |
| 2023 | Some Might Say All You Need Is Sum. Eran Rosenbluth, Jan Tönshoff, Martin Grohe |
| 2023 | Sorting and Hypergraph Orientation under Uncertainty with Predictions. Thomas Erlebach, Murilo S. de Lima, Nicole Megow, Jens Schlöter |
| 2023 | Sources and Information Reliability Measures. Quentin Elsaesser |
| 2023 | Spatial-Temporal Self-Attention for Asynchronous Spiking Neural Networks. Yuchen Wang, Kexin Shi, Chengzhuo Lu, Yuguo Liu, Malu Zhang, Hong Qu |
| 2023 | Spatially Constrained Adversarial Attack Detection and Localization in the Representation Space of Optical Flow Networks. Hannah Kim, Celia Cintas, Girmaw Abebe Tadesse, Skyler Speakman |
| 2023 | Spatially Covariant Lesion Segmentation. Hang Zhang, Rongguang Wang, Jinwei Zhang, Dongdong Liu, Chao Li, Jiahao Li |
| 2023 | Specifying and Testing k-Safety Properties for Machine-Learning Models. Maria Christakis, Hasan Ferit Eniser, Jörg Hoffmann, Adish Singla, Valentin Wüstholz |
| 2023 | Speeding Up Multi-Objective Hyperparameter Optimization by Task Similarity-Based Meta-Learning for the Tree-Structured Parzen Estimator. Shuhei Watanabe, Noor H. Awad, Masaki Onishi, Frank Hutter |
| 2023 | Sph2Pob: Boosting Object Detection on Spherical Images with Planar Oriented Boxes Methods. Xinyuan Liu, Hang Xu, Bin Chen, Qiang Zhao, Yike Ma, Chenggang Yan, Feng Dai |
| 2023 | Spike Count Maximization for Neuromorphic Vision Recognition. Jianxiong Tang, Jian-Huang Lai, Xiaohua Xie, Lingxiao Yang |
| 2023 | Spotlight News Driven Quantitative Trading Based on Trajectory Optimization. Mengyuan Yang, Mengying Zhu, Qianqiao Liang, Xiaolin Zheng, Menghan Wang |
| 2023 | Stability and Generalization of lp-Regularized Stochastic Learning for GCN. Shiyu Liu, Linsen Wei, Shaogao Lv, Ming Li |
| 2023 | StackFLOW: Monocular Human-Object Reconstruction by Stacked Normalizing Flow with Offset. Chaofan Huo, Ye Shi, Yuexin Ma, Lan Xu, Jingyi Yu, Jingya Wang |
| 2023 | State-wise Safe Reinforcement Learning: A Survey. Weiye Zhao, Tairan He, Rui Chen, Tianhao Wei, Changliu Liu |
| 2023 | Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs. Kaiwen Xu, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma |
| 2023 | Stochastic Feature Averaging for Learning with Long-Tailed Noisy Labels. Hao-Tian Li, Tong Wei, Hao Yang, Kun Hu, Chong Peng, Li-Bo Sun, Xun-Liang Cai, Min-Ling Zhang |
| 2023 | Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms. Chao Bian, Yawen Zhou, Miqing Li, Chao Qian |
| 2023 | StockFormer: Learning Hybrid Trading Machines with Predictive Coding. Siyu Gao, Yunbo Wang, Xiaokang Yang |
| 2023 | Strategic Adversarial Attacks in AI-assisted Decision Making to Reduce Human Trust and Reliance. Zhuoran Lu, Zhuoyan Li, Chun-Wei Chiang, Ming Yin |
| 2023 | Strategic Resource Selection with Homophilic Agents. Jonathan Gadea Harder, Simon Krogmann, Pascal Lenzner, Alexander Skopalik |
| 2023 | Strip Attention for Image Restoration. Yuning Cui, Yi Tao, Luoxi Jing, Alois Knoll |
| 2023 | Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences. Jie Qiao, Ruichu Cai, Siyu Wu, Yu Xiang, Keli Zhang, Zhifeng Hao |
| 2023 | Sub-Band Based Attention for Robust Polyp Segmentation. Xianyong Fang, Yuqing Shi, Qingqing Guo, Linbo Wang, Zhengyi Liu |
| 2023 | SupervisorBot: NLP-Annotated Real-Time Recommendations of Psychotherapy Treatment Strategies with Deep Reinforcement Learning. Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf |
| 2023 | Supporting Sustainable Agroecological Initiatives for Small Farmers through Constraint Programming. Margot Challand, Philippe Vismara, Dimitri Justeau-Allaire, Stéphane de Tourdonnet |
| 2023 | Survey and Evaluation of Causal Discovery Methods for Time Series (Extended Abstract). Charles K. Assaad, Emilie Devijver, Éric Gaussier |
| 2023 | Survey on Online Streaming Continual Learning. Nuwan Gunasekara, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet |
| 2023 | Synthesizing Resilient Strategies for Infinite-Horizon Objectives in Multi-Agent Systems. David Klaska, Antonín Kucera, Martin Kurecka, Vít Musil, Petr Novotný, Vojtech Rehák |
| 2023 | TDG4Crowd: Test Data Generation for Evaluation of Aggregation Algorithms in Crowdsourcing. Yili Fang, Chaojie Shen, Huamao Gu, Tao Han, Xinyi Ding |
| 2023 | TG-VQA: Ternary Game of Video Question Answering. Hao Li, Peng Jin, Zesen Cheng, Songyang Zhang, Kai Chen, Zhennan Wang, Chang Liu, Jie Chen |
| 2023 | TITAN : Task-oriented Dialogues with Mixed-Initiative Interactions. Sitong Yan, Shengli Song, Jingyang Li, Shiqi Meng, Guangneng Hu |
| 2023 | TPS++: Attention-Enhanced Thin-Plate Spline for Scene Text Recognition. Tianlun Zheng, Zhineng Chen, Jinfeng Bai, Hongtao Xie, Yu-Gang Jiang |
| 2023 | Targeting Minimal Rare Itemsets from Transaction Databases. Amel Hidouri, Badran Raddaoui, Saïd Jabbour |
| 2023 | Task Allocation on Networks with Execution Uncertainty (Extended Abstract)∗. Yao Zhang, Xiuzhen Zhang, Dengji Zhao |
| 2023 | TeSTNeRF: Text-Driven 3D Style Transfer via Cross-Modal Learning. Jiafu Chen, Boyan Ji, Zhanjie Zhang, Tianyi Chu, Zhiwen Zuo, Lei Zhao, Wei Xing, Dongming Lu |
| 2023 | Teacher Assistant-Based Knowledge Distillation Extracting Multi-level Features on Single Channel Sleep EEG. Heng Liang, Yucheng Liu, Haichao Wang, Ziyu Jia |
| 2023 | Teaching What You Should Teach: A Data-Based Distillation Method. Shitong Shao, Huanran Chen, Zhen Huang, Linrui Gong, Shuai Wang, Xinxiao Wu |
| 2023 | Temporal Constrained Feasible Subspace Learning for Human Pose Forecasting. Gaoang Wang, Mingli Song |
| 2023 | Temporal Datalog with Existential Quantification. Matthias Lanzinger, Markus Nissl, Emanuel Sallinger, Przemyslaw Andrzej Walega |
| 2023 | Temporal Knowledge Graph Completion: A Survey. Borui Cai, Yong Xiang, Longxiang Gao, He Zhang, Yunfeng Li, Jianxin Li |
| 2023 | Temporal Network Creation Games. Davide Bilò, Sarel Cohen, Tobias Friedrich, Hans Gawendowicz, Nicolas Klodt, Pascal Lenzner, George Skretas |
| 2023 | Temporally Aligning Long Audio Interviews with Questions: A Case Study in Multimodal Data Integration. Piyush Singh Pasi, Karthikeya Battepati, Preethi Jyothi, Ganesh Ramakrishnan, Tanmay Mahapatra, Manoj Singh |
| 2023 | Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment. Peng Jin, Hao Li, Zesen Cheng, Jinfa Huang, Zhennan Wang, Li Yuan, Chang Liu, Jie Chen |
| 2023 | The #DNN-Verification Problem: Counting Unsafe Inputs for Deep Neural Networks. Luca Marzari, Davide Corsi, Ferdinando Cicalese, Alessandro Farinelli |
| 2023 | The ACCompanion: Combining Reactivity, Robustness, and Musical Expressivity in an Automatic Piano Accompanist. Carlos Cancino Chacón, Silvan Peter, Patricia Hu, Emmanouil Karystinaios, Florian Henkel, Francesco Foscarin, Gerhard Widmer |
| 2023 | The Computational Complexity of Single-Player Imperfect-Recall Games. Emanuel Tewolde, Caspar Oesterheld, Vincent Conitzer, Paul W. Goldberg |
| 2023 | The Economics of Machine Learning. Haifeng Xu |
| 2023 | The Effects of AI Biases and Explanations on Human Decision Fairness: A Case Study of Bidding in Rental Housing Markets. Xinru Wang, Chen Liang, Ming Yin |
| 2023 | The First Proven Performance Guarantees for the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) on a Combinatorial Optimization Problem. Sacha Cerf, Benjamin Doerr, Benjamin Hebras, Yakob Kahane, Simon Wietheger |
| 2023 | The Hardness of Reasoning about Probabilities and Causality. Benito van der Zander, Markus Bläser, Maciej Liskiewicz |
| 2023 | The Importance of Human-Labeled Data in the Era of LLMs. Yang Liu |
| 2023 | The Parameterized Complexity of Finding Concise Local Explanations. Sebastian Ordyniak, Giacomo Paesani, Stefan Szeider |
| 2023 | Ties in Multiwinner Approval Voting. Lukasz Janeczko, Piotr Faliszewski |
| 2023 | Time Series of Satellite Imagery Improve Deep Learning Estimates of Neighborhood-Level Poverty in Africa. Markus B. Pettersson, Mohammad Kakooei, Julia Ortheden, Fredrik D. Johansson, Adel Daoud |
| 2023 | Timestamp-Supervised Action Segmentation from the Perspective of Clustering. Dazhao Du, Enhan Li, Lingyu Si, Fanjiang Xu, Fuchun Sun |
| 2023 | Topological Planning with Post-unique and Unary Actions. Guillaume Prévost, Stéphane Cardon, Tristan Cazenave, Christophe Guettier, Éric Jacopin |
| 2023 | Totally Dynamic Hypergraph Neural Networks. Peng Zhou, Zongqian Wu, Xiangxiang Zeng, Guoqiu Wen, Junbo Ma, Xiaofeng Zhu |
| 2023 | Toward Convex Manifolds: A Geometric Perspective for Deep Graph Clustering of Single-cell RNA-seq Data. Nairouz Mrabah, Mohamed Mahmoud Amar, Mohamed Bouguessa, Abdoulaye Baniré Diallo |
| 2023 | Toward Job Recommendation for All. Guillaume Bied, Solal Nathan, Elia Perennes, Morgane Hoffmann, Philippe Caillou, Bruno Crépon, Christophe Gaillac, Michèle Sebag |
| 2023 | Towards Accurate Video Text Spotting with Text-wise Semantic Reasoning. Xinyan Zu, Haiyang Yu, Bin Li, Xiangyang Xue |
| 2023 | Towards Collaborative Plan Acquisition through Theory of Mind Modeling in Situated Dialogue. Cristian-Paul Bara, Ziqiao Ma, Yingzhuo Yu, Julie Shah, Joyce Chai |
| 2023 | Towards Formal Verification of Neuro-symbolic Multi-agent Systems. Panagiotis Kouvaros |
| 2023 | Towards Gender Fairness for Mental Health Prediction. Jiaee Cheong, Selim Kuzucu, Sinan Kalkan, Hatice Gunes |
| 2023 | Towards Generalizable Reinforcement Learning for Trade Execution. Chuheng Zhang, Yitong Duan, Xiaoyu Chen, Jianyu Chen, Jian Li, Li Zhao |
| 2023 | Towards Hierarchical Policy Learning for Conversational Recommendation with Hypergraph-based Reinforcement Learning. Sen Zhao, Wei Wei, Yifan Liu, Ziyang Wang, Wendi Li, Xian-Ling Mao, Shuai Zhu, Minghui Yang, Zujie Wen |
| 2023 | Towards Incremental NER Data Augmentation via Syntactic-aware Insertion Transformer. Wenjun Ke, Zongkai Tian, Qi Liu, Peng Wang, Jinhua Gao, Rui Qi |
| 2023 | Towards Long-delayed Sparsity: Learning a Better Transformer through Reward Redistribution. Tianchen Zhu, Yue Qiu, Haoyi Zhou, Jianxin Li |
| 2023 | Towards Lossless Head Pruning through Automatic Peer Distillation for Language Models. Bingbing Li, Zigeng Wang, Shaoyi Huang, Mikhail A. Bragin, Ji Li, Caiwen Ding |
| 2023 | Towards Robust Gan-Generated Image Detection: A Multi-View Completion Representation. Chi Liu, Tianqing Zhu, Sheng Shen, Wanlei Zhou |
| 2023 | Towards Robust Scene Text Image Super-resolution via Explicit Location Enhancement. Hang Guo, Tao Dai, Guanghao Meng, Shu-Tao Xia |
| 2023 | Towards Semantics- and Domain-Aware Adversarial Attacks. Jianping Zhang, Yung-Chieh Huang, Weibin Wu, Michael R. Lyu |
| 2023 | Towards Sharp Analysis for Distributed Learning with Random Features. Jian Li, Yong Liu |
| 2023 | Towards Symbiotic Creativity: A Methodological Approach to Compare Human and AI Robotic Dance Creations. Allegra De Filippo, Luca Giuliani, Eleonora Mancini, Andrea Borghesi, Paola Mello, Michela Milano |
| 2023 | Towards Utilitarian Online Learning - A Review of Online Algorithms in Open Feature Space. Yi He, Christian Schreckenberger, Heiner Stuckenschmidt, Xindong Wu |
| 2023 | Towards a Better Understanding of Learning with Multiagent Teams. David Radke, Kate Larson, Tim Brecht, Kyle Tilbury |
| 2023 | Towards an Integrated View of Semantic Annotation for POIs with Spatial and Textual Information. Dabin Zhang, Ronghui Xu, Weiming Huang, Kai Zhao, Meng Chen |
| 2023 | Tracking Different Ant Species: An Unsupervised Domain Adaptation Framework and a Dataset for Multi-object Tracking. Chamath Abeysinghe, Chris Reid, Hamid Rezatofighi, Bernd Meyer |
| 2023 | Tractable Diversity: Scalable Multiperspective Ontology Management via Standpoint EL. Lucía Gómez Álvarez, Sebastian Rudolph, Hannes Strass |
| 2023 | Transferable Curricula through Difficulty Conditioned Generators. Sidney Tio, Pradeep Varakantham |
| 2023 | Transformers in Time Series: A Survey. Qingsong Wen, Tian Zhou, Chaoli Zhang, Weiqi Chen, Ziqing Ma, Junchi Yan, Liang Sun |
| 2023 | Translating Images into Maps (Extended Abstract). Avishkar Saha, Oscar Mendez, Chris Russell, Richard Bowden |
| 2023 | Treewidth-Aware Complexity for Evaluating Epistemic Logic Programs. Jorge Fandinno, Markus Hecher |
| 2023 | Truthful Auctions for Automated Bidding in Online Advertising. Yidan Xing, Zhilin Zhang, Zhenzhe Zheng, Chuan Yu, Jian Xu, Fan Wu, Guihai Chen |
| 2023 | Truthful Fair Mechanisms for Allocating Mixed Divisible and Indivisible Goods. Zihao Li, Shengxin Liu, Xinhang Lu, Biaoshuai Tao |
| 2023 | U-Match: Two-view Correspondence Learning with Hierarchy-aware Local Context Aggregation. Zizhuo Li, Shihua Zhang, Jiayi Ma |
| 2023 | Unbiased Gradient Boosting Decision Tree with Unbiased Feature Importance. Zheyu Zhang, Tianping Zhang, Jian Li |
| 2023 | Unbiased Risk Estimator to Multi-Labeled Complementary Label Learning. Yi Gao, Miao Xu, Min-Ling Zhang |
| 2023 | Uncovering the Deceptions: An Analysis on Audio Spoofing Detection and Future Prospects. Rishabh Ranjan, Mayank Vatsa, Richa Singh |
| 2023 | Uncovering the Largest Community in Social Networks at Scale. Shohei Matsugu, Yasuhiro Fujiwara, Hiroaki Shiokawa |
| 2023 | Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Rényi's Entropy Perspective. Yuxin Dong, Tieliang Gong, Hong Chen, Chen Li |
| 2023 | Understanding the Night-Sky? Developing AI-Enabled System for Exploring Night-Light Usage Patterns. Jakob Hederich, Shreya Ghosh, Zeyu He, Prasenjit Mitra |
| 2023 | Unified Model for Crystalline Material Generation. Astrid Klipfel, Yaël Frégier, Adlane Sayede, Zied Bouraoui |
| 2023 | Unifying Core-Guided and Implicit Hitting Set Based Optimization. Hannes Ihalainen, Jeremias Berg, Matti Järvisalo |
| 2023 | Universal Adaptive Data Augmentation. Xiaogang Xu, Hengshuang Zhao |
| 2023 | Unreliable Partial Label Learning with Recursive Separation. Yu Shi, Ning Xu, Hua Yuan, Xin Geng |
| 2023 | Unsupervised Deep Subgraph Anomaly Detection (Extended Abstract). Zheng Zhang, Liang Zhao |
| 2023 | Unsupervised and Few-Shot Parsing from Pretrained Language Models (Extended Abstract). Zhiyuan Zeng, Deyi Xiong |
| 2023 | Unveiling Concepts Learned by a World-Class Chess-Playing Agent. Aðalsteinn Pálsson, Yngvi Björnsson |
| 2023 | User-Centric Democratization towards Social Value Aligned Medical AI Services. Zhaonian Zhang, Richard Jiang |
| 2023 | Using Liquid Democracy For Attention-Aware Social Choice. Shiri Alouf-Heffetz |
| 2023 | VGOS: Voxel Grid Optimization for View Synthesis from Sparse Inputs. Jiakai Sun, Zhanjie Zhang, Jiafu Chen, Guangyuan Li, Boyan Ji, Lei Zhao, Wei Xing |
| 2023 | VS-Boost: Boosting Visual-Semantic Association for Generalized Zero-Shot Learning. Xiaofan Li, Yachao Zhang, Shiran Bian, Yanyun Qu, Yuan Xie, Zhongchao Shi, Jianping Fan |
| 2023 | VecoCare: Visit Sequences-Clinical Notes Joint Learning for Diagnosis Prediction in Healthcare Data. Yongxin Xu, Kai Yang, Chaohe Zhang, Peinie Zou, Zhiyuan Wang, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie |
| 2023 | ViT-CX: Causal Explanation of Vision Transformers. Weiyan Xie, Xiao-Hui Li, Caleb Chen Cao, Nevin L. Zhang |
| 2023 | ViT-P3DE∗: Vision Transformer Based Multi-Camera Instance Association with Pseudo 3D Position Embeddings. Minseok Seo, Hyuk-Jae Lee, Xuan Truong Nguyen |
| 2023 | Video Diffusion Models with Local-Global Context Guidance. Siyuan Yang, Lu Zhang, Yu Liu, Zhizhuo Jiang, You He |
| 2023 | Video Frame Interpolation with Densely Queried Bilateral Correlation. Chang Zhou, Jie Liu, Jie Tang, Gangshan Wu |
| 2023 | Video Object Segmentation in Panoptic Wild Scenes. Yuanyou Xu, Zongxin Yang, Yi Yang |
| 2023 | VideoMaster: A Multimodal Micro Game Video Recreator. Yipeng Yu, Xiao Chen, Hui Zhan |
| 2023 | Violin: Virtual Overbridge Linking for Enhancing Semi-supervised Learning on Graphs with Limited Labels. Siyue Xie, Da Sun Handason Tam, Wing Cheong Lau |
| 2023 | Vision Language Navigation with Knowledge-driven Environmental Dreamer. Fengda Zhu, Vincent CS Lee, Xiaojun Chang, Xiaodan Liang |
| 2023 | Voice Guard: Protecting Voice Privacy with Strong and Imperceptible Adversarial Perturbation in the Time Domain. Jingyang Li, Dengpan Ye, Long Tang, Chuanxi Chen, Shengshan Hu |
| 2023 | WBFlow: Few-shot White Balance for sRGB Images via Reversible Neural Flows. Chunxiao Li, Xuejing Kang, Anlong Ming |
| 2023 | What Lies beyond the Pareto Front? A Survey on Decision-Support Methods for Multi-Objective Optimization. Zuzanna Osika, Jazmin Zatarain Salazar, Diederik M. Roijers, Frans A. Oliehoek, Pradeep K. Murukannaiah |
| 2023 | Why Rumors Spread Fast in Social Networks, and How to Stop It. Ahad N. Zehmakan, Charlotte Out, Sajjad Hesamipour Khelejan |
| 2023 | WiCo: Win-win Cooperation of Bottom-up and Top-down Referring Image Segmentation. Zesen Cheng, Peng Jin, Hao Li, Kehan Li, Siheng Li, Xiangyang Ji, Chang Liu, Jie Chen |
| 2023 | XFormer: Fast and Accurate Monocular 3D Body Capture. Lihui Qian, Xintong Han, Faqiang Wang, Hongyu Liu, Haoye Dong, Zhiwen Li, Huawei Wei, Zhe Lin, Chengbin Jin |
| 2023 | c-TPE: Tree-structured Parzen Estimator with Inequality Constraints for Expensive Hyperparameter Optimization. Shuhei Watanabe, Frank Hutter |
| 2023 | iRe2f: Rethinking Effective Refinement in Language Structure Prediction via Efficient Iterative Retrospecting and Reasoning. Zuchao Li, Xingyi Guo, Letian Peng, Lefei Zhang, Hai Zhao |
| 2023 | pTSE: A Multi-model Ensemble Method for Probabilistic Time Series Forecasting. Yunyi Zhou, Zhixuan Chu, Yijia Ruan, Ge Jin, Yuchen Huang, Sheng Li |