| 2024 | A Theory of Fault-Tolerant Learning. | Changlong Wu, Yifan Wang, Ananth Grama |
| 2024 | Profile Reconstruction from Private Sketches. | Hao Wu, Rasmus Pagh |
| 2024 | Learning Divergence Fields for Shift-Robust Graph Representations. | Qitian Wu, Fan Nie, Chenxiao Yang, Junchi Yan |
| 2024 | VoroNav: Voronoi-based Zero-shot Object Navigation with Large Language Model. | Pengying Wu, Yao Mu, Bingxian Wu, Yi Hou, Ji Ma, Shanghang Zhang, Chang Liu |
| 2024 | Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value. | Young Wu, Jeremy McMahan, Yiding Chen, Yudong Chen, Jerry Zhu, Qiaomin Xie |
| 2024 | AND: Audio Network Dissection for Interpreting Deep Acoustic Models. | Tung-Yu Wu, Yu-Xiang Lin, Tsui-Wei Weng |
| 2024 | Transolver: A Fast Transformer Solver for PDEs on General Geometries. | Haixu Wu, Huakun Luo, Haowen Wang, Jianmin Wang, Mingsheng Long |
| 2024 | Confidence-aware Contrastive Learning for Selective Classification. | Yu-Chang Wu, Shen-Huan Lyu, Haopu Shang, Xiangyu Wang, Chao Qian |
| 2024 | Learning Causal Relations from Subsampled Time Series with Two Time-Slices. | Anpeng Wu, Haoxuan Li, Kun Kuang, Keli Zhang, Fei Wu |
| 2024 | Surface-VQMAE: Vector-quantized Masked Auto-encoders on Molecular Surfaces. | Fang Wu, Stan Z. Li |
| 2024 | DISCRET: Synthesizing Faithful Explanations For Treatment Effect Estimation. | Yinjun Wu, Mayank Keoliya, Kan Chen, Neelay Velingker, Ziyang Li, Emily J. Getzen, Qi Long, Mayur Naik, Ravi B. Parikh, Eric Wong |
| 2024 | Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language Models. | Mingrui Wu, Jiayi Ji, Oucheng Huang, Jiale Li, Yuhang Wu, Xiaoshuai Sun, Rongrong Ji |
| 2024 | Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models. | Dennis Wu, Jerry Yao-Chieh Hu, Teng-Yun Hsiao, Han Liu |
| 2024 | A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models. | Yihan Wu, Zhengmian Hu, Junfeng Guo, Hongyang Zhang, Heng Huang |
| 2024 | FAFE: Immune Complex Modeling with Geodesic Distance Loss on Noisy Group Frames. | Ruidong Wu, Ruihan Guo, Rui Wang, Shitong Luo, Yue Xu, Jiahan Li, Jianzhu Ma, Qiang Liu, Yunan Luo, Jian Peng |
| 2024 | Understanding Stochastic Natural Gradient Variational Inference. | Kaiwen Wu, Jacob R. Gardner |
| 2024 | Ditto: Quantization-aware Secure Inference of Transformers upon MPC. | Haoqi Wu, Wenjing Fang, Yancheng Zheng, Junming Ma, Jin Tan, Lei Wang |
| 2024 | Theoretical insights for diffusion guidance: A case study for Gaussian mixture models. | Yuchen Wu, Minshuo Chen, Zihao Li, Mengdi Wang, Yuting Wei |
| 2024 | Adaptive Accompaniment with ReaLchords. | Yusong Wu, Tim Cooijmans, Kyle Kastner, Adam Roberts, Ian Simon, Alexander Scarlatos, Chris Donahue, Cassie Tarakajian, Shayegan Omidshafiei, Aaron C. Courville, Pablo Samuel Castro, Natasha Jaques, Cheng-Zhi Anna Huang |
| 2024 | Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations via Pareto Optimization. | Yichen Wu, Hong Wang, Peilin Zhao, Yefeng Zheng, Ying Wei, Long-Kai Huang |
| 2024 | Planning, Fast and Slow: Online Reinforcement Learning with Action-Free Offline Data via Multiscale Planners. | Chengjie Wu, Hao Hu, Yiqin Yang, Ning Zhang, Chongjie Zhang |
| 2024 | NExT-GPT: Any-to-Any Multimodal LLM. | Shengqiong Wu, Hao Fei, Leigang Qu, Wei Ji, Tat-Seng Chua |
| 2024 | Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning. | Lirong Wu, Yijun Tian, Haitao Lin, Yufei Huang, Siyuan Li, Nitesh V. Chawla, Stan Z. Li |
| 2024 | Borda Regret Minimization for Generalized Linear Dueling Bandits. | Yue Wu, Tao Jin, Qiwei Di, Hao Lou, Farzad Farnoud, Quanquan Gu |
| 2024 | Optimizing Watermarks for Large Language Models. | Bram Wouters |