| 2024 | A Successful Strategy for Multichannel Iterated Prisoner's Dilemma. | Zhen Wang, Zhaoheng Cao, Juan Shi, Peican Zhu, Shuyue Hu, Chen Chu |
| 2024 | DANCE: Dual-View Distribution Alignment for Dataset Condensation. | Hansong Zhang, Shikun Li, Fanzhao Lin, Weiping Wang, Zhenxing Qian, Shiming Ge |
| 2024 | Learning a Spiking Neural Network for Efficient Image Deraining. | Tianyu Song, Guiyue Jin, Pengpeng Li, Kui Jiang, Xiang Chen, Jiyu Jin |
| 2024 | Trustworthy Machine Learning under Imperfect Data. | Bo Han |
| 2024 | Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning. | Wei Duan, Jie Lu, Junyu Xuan |
| 2024 | A New Guaranteed Outlier Removal Method Based on Plane Constraints for Large-Scale LiDAR Point Cloud Registration. | Gang Ma, Hui Wei, Runfeng Lin, Jialiang Wu |
| 2024 | Incorporating Schema-Aware Description into Document-Level Event Extraction. | Zijie Xu, Peng Wang, Wenjun Ke, Guozheng Li, Jiajun Liu, Ke Ji, Xiye Chen, Chenxiao Wu |
| 2024 | FineFMPL: Fine-grained Feature Mining Prompt Learning for Few-Shot Class Incremental Learning. | Hongbo Sun, Jiahuan Zhou, Xiangteng He, Jinglin Xu, Yuxin Peng |
| 2024 | A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings (Extended Abstract). | Song Jiang, Qiyue Yao, Qifan Wang, Yizhou Sun |
| 2024 | Bring Metric Functions into Diffusion Models. | Jie An, Zhengyuan Yang, Jianfeng Wang, Linjie Li, Zicheng Liu, Lijuan Wang, Jiebo Luo |
| 2024 | A Survey on Cross-Domain Sequential Recommendation. | Shu Chen, Zitao Xu, Weike Pan, Qiang Yang, Zhong Ming |
| 2024 | PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction. | Shiguang Wu, Yaqing Wang, Quanming Yao |
| 2024 | Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling. | Liang Zeng, Lei Wang, Hui Niu, Ruchen Zhang, Ling Wang, Jian Li |
| 2024 | A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning. | Zun Li, Michael P. Wellman |
| 2024 | An Archive Can Bring Provable Speed-ups in Multi-Objective Evolutionary Algorithms. | Chao Bian, Shengjie Ren, Miqing Li, Chao Qian |
| 2024 | MultifacetEval: Multifaceted Evaluation to Probe LLMs in Mastering Medical Knowledge. | Yuxuan Zhou, Xien Liu, Chen Ning, Ji Wu |
| 2024 | MGCBS: An Optimal and Efficient Algorithm for Solving Multi-Goal Multi-Agent Path Finding Problem. | Mingkai Tang, Yuanhang Li, Hongji Liu, Yingbing Chen, Ming Liu, Lujia Wang |
| 2024 | MusicMagus: Zero-Shot Text-to-Music Editing via Diffusion Models. | Yixiao Zhang, Yukara Ikemiya, Gus Xia, Naoki Murata, Marco A. Martnez Ramrez, Wei-Hsiang Liao, Yuki Mitsufuji, Simon Dixon |
| 2024 | 3DBench: A Scalable 3D Benchmark and Instruction-Tuning Dataset. | Junjie Zhang, Tianci Hu, Xiaoshui Huang, Yongshun Gong, Dan Zeng |
| 2024 | FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation. | Tianfu Wang, Qilin Fan, Chao Wang, Long Yang, Leilei Ding, Nicholas Jing Yuan, Hui Xiong |
| 2024 | WPML3CP: Wasserstein Partial Multi-Label Learning with Dual Label Correlation Perspectives. | Ximing Li, Yuanchao Dai, Bing Wang, Changchun Li, Renchu Guan, Fangming Gu, Jihong Ouyang |
| 2024 | Finite Groundings for ASP with Functions: A Journey through Consistency. | Lukas Gerlach, David Carral, Markus Hecher |
| 2024 | First-Order Progression beyond Local-Effect and Normal Actions. | Daxin Liu, Jens Claen |
| 2024 | A SAT Solver + Computer Algebra Attack on the Minimum Kochen-Specker Problem. | Zhengyu Li, Curtis Bright, Vijay Ganesh |
| 2024 | Recent Advances in Predictive Modeling with Electronic Health Records. | Jiaqi Wang, Junyu Luo, Muchao Ye, Xiaochen Wang, Yuan Zhong, Aofei Chang, Guanjie Huang, Ziyi Yin, Cao Xiao, Jimeng Sun, Fenglong Ma |