| 2024 | Learning Big Logical Rules by Joining Small Rules. | Cline Hocquette, Andreas Niskanen, Rolf Morel, Matti Jrvisalo, Andrew Cropper |
| 2024 | Learning Logic Programs by Discovering Higher-Order Abstractions. | Cline Hocquette, Sebastijan Dumancic, Andrew Cropper |
| 2024 | Social Learning through Interactions with Other Agents: A Survey. | Dylan Hillier, Cheston Tan, Jing Jiang |
| 2024 | TSESNet: Temporal-Spatial Enhanced Breast Tumor Segmentation in DCE-MRI Using Feature Perception and Separability. | Jiezhou He, Xue Zhao, Zhiming Luo, Songzhi Su, Shaozi Li, Guojun Zhang |
| 2024 | A Lightweight U-like Network Utilizing Neural Memory Ordinary Differential Equations for Slimming the Decoder. | Quansong He, Xiaojun Yao, Jun Wu, Zhang Yi, Tao He |
| 2024 | Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers. | Buyun He, Yingguang Yang, Qi Wu, Hao Liu, Renyu Yang, Hao Peng, Xiang Wang, Yong Liao, Pengyuan Zhou |
| 2024 | Semantics for Non-Flat Assumption-Based Argumentation, Revisited. | Jesse Heyninck, Ofer Arieli |
| 2024 | CMMU: A Benchmark for Chinese Multi-modal Multi-type Question Understanding and Reasoning. | Zheqi He, Xinya Wu, Pengfei Zhou, Richeng Xuan, Guang Liu, Xi Yang, Qiannan Zhu, Hua Huang |
| 2024 | Online Learning of Capacity-Based Preference Models. | Margot Herin, Patrice Perny, Nataliya Sokolovska |
| 2024 | UniM-OV3D: Uni-Modality Open-Vocabulary 3D Scene Understanding with Fine-Grained Feature Representation. | Qingdong He, Jinlong Peng, Zhengkai Jiang, Kai Wu, Xiaozhong Ji, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Mingang Chen, Yunsheng Wu |
| 2024 | EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost. | Jaeseung Heo, Seungbeom Lee, Sungsoo Ahn, Dongwoo Kim |
| 2024 | CVAT-BWV: A Web-Based Video Annotation Platform for Police Body-Worn Video. | Parsa Hejabi, Akshay Kiran Padte, Preni Golazizian, Rajat Hebbar, Jackson Trager, Georgios Chochlakis, Aditya Kommineni, Ellie Graeden, Shrikanth Narayanan, Benjamin A. T. Graham, Morteza Dehghani |
| 2024 | SAEIR: Sequentially Accumulated Entropy Intrinsic Reward for Cooperative Multi-Agent Reinforcement Learning with Sparse Reward. | Xin He, Hongwei Ge, Yaqing Hou, Jincheng Yu |
| 2024 | Quantitative Claim-Centric Reasoning in Logic-Based Argumentation. | Markus Hecher, Yasir Mahmood, Arne Meier, Johannes Schmidt |
| 2024 | Parameterized Complexity of Kidney Exchange Revisited. | rsula Hbert-Johnson, Daniel Lokshtanov, Chinmay Sonar, Vaishali Surianarayanan |
| 2024 | A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation. | Mohammad Hashemi, Shengbo Gong, Juntong Ni, Wenqi Fan, B. Aditya Prakash, Wei Jin |
| 2024 | Guiding GBFS through Learned Pairwise Rankings. | Mingyu Hao, Felipe W. Trevizan, Sylvie Thibaux, Patrick Ferber, Jrg Hoffmann |
| 2024 | InfoMatch: Entropy Neural Estimation for Semi-Supervised Image Classification. | Qi Han, Zhibo Tian, Chengwei Xia, Kun Zhan |
| 2024 | Determining Winners in Elections with Absent Votes. | Qishen Han, Amlie Marian, Lirong Xia |
| 2024 | BlockEcho: Retaining Long-Range Dependencies for Imputing Block-Wise Missing Data. | Qiao Han, Mingqian Li, Yao Yang, Yiteng Zhai |
| 2024 | InstructME: An Instruction Guided Music Edit Framework with Latent Diffusion Models. | Bing Han, Junyu Dai, Weituo Hao, Xinyan He, Dong Guo, Jitong Chen, Yuxuan Wang, Yanmin Qian, Xuchen Song |
| 2024 | Online Sampling and Decision Making with Low Entropy. | Mohammad Taghi Hajiaghayi, Dariusz R. Kowalski, Piotr Krysta, Jan Olkowski |
| 2024 | PoRank: A Practical Framework for Learning to Rank Policies. | Pengjie Gu, Mengchen Zhao, Xu He, Yi Cai, Bo An |
| 2024 | Human-AI Interaction Generation: A Connective Lens for Generative AI and Procedural Content Generation. | Matthew Guzdial |
| 2024 | Unlearning during Learning: An Efficient Federated Machine Unlearning Method. | Hanlin Gu, Gongxi Zhu, Jie Zhang, Xinyuan Zhao, Yuxing Han, Lixin Fan, Qiang Yang |