| 2024 | Learning Pseudo-Contractive Denoisers for Inverse Problems. | Deliang Wei, Peng Chen, Fang Li |
| 2024 | Exploiting Human-AI Dependence for Learning to Defer. | Zixi Wei, Yuzhou Cao, Lei Feng |
| 2024 | MMPareto: Boosting Multimodal Learning with Innocent Unimodal Assistance. | Yake Wei, Di Hu |
| 2024 | Exact Soft Analytical Side-Channel Attacks using Tractable Circuits. | Thomas Wedenig, Rishub Nagpal, Gatan Cassiers, Stefan Mangard, Robert Peharz |
| 2024 | Learning to Compile Programs to Neural Networks. | Logan Weber, Jesse Michel, Alex Renda, Michael Carbin |
| 2024 | Reinforcement Learning and Regret Bounds for Admission Control. | Lucas Weber, Ana Busic, Jiamin Zhu |
| 2024 | Mapping the Multiverse of Latent Representations. | Jeremy Wayland, Corinna Coupette, Bastian Rieck |
| 2024 | Towards Unified Multi-granularity Text Detection with Interactive Attention. | Xingyu Wan, Chengquan Zhang, Pengyuan Lyu, Sen Fan, Zihan Ni, Kun Yao, Errui Ding, Jingdong Wang |
| 2024 | Non-stationary Online Convex Optimization with Arbitrary Delays. | Yuanyu Wan, Chang Yao, Mingli Song, Lijun Zhang |
| 2024 | Superpoint Gaussian Splatting for Real-Time High-Fidelity Dynamic Scene Reconstruction. | Diwen Wan, Ruijie Lu, Gang Zeng |
| 2024 | VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception. | Zhaoliang Wan, Yonggen Ling, Senlin Yi, Lu Qi, Wang Wei Lee, Minglei Lu, Sicheng Yang, Xiao Teng, Peng Lu, Xu Yang, Ming-Hsuan Yang, Hui Cheng |
| 2024 | Boximator: Generating Rich and Controllable Motions for Video Synthesis. | Jiawei Wang, Yuchen Zhang, Jiaxin Zou, Yan Zeng, Guoqiang Wei, Liping Yuan, Hang Li |
| 2024 | Diffusion Language Models Are Versatile Protein Learners. | Xinyou Wang, Zaixiang Zheng, Fei Ye, Dongyu Xue, Shujian Huang, Quanquan Gu |
| 2024 | Knowledge-aware Reinforced Language Models for Protein Directed Evolution. | Yuhao Wang, Qiang Zhang, Ming Qin, Xiang Zhuang, Xiaotong Li, Zhichen Gong, Zeyuan Wang, Yu Zhao, Jianhua Yao, Keyan Ding, Huajun Chen |
| 2024 | Exploring Intrinsic Dimension for Vision-Language Model Pruning. | Hanzhang Wang, Jiawen Zhang, Qingyuan Ma |
| 2024 | Benign Overfitting in Adversarial Training of Neural Networks. | Yunjuan Wang, Kaibo Zhang, Raman Arora |
| 2024 | Calibration Bottleneck: Over-compressed Representations are Less Calibratable. | Deng-Bao Wang, Min-Ling Zhang |
| 2024 | An Empirical Study of Realized GNN Expressiveness. | Yanbo Wang, Muhan Zhang |
| 2024 | Can Gaussian Sketching Converge Faster on a Preconditioned Landscape? | Yilong Wang, Haishan Ye, Guang Dai, Ivor W. Tsang |
| 2024 | Vision Transformers as Probabilistic Expansion from Learngene. | Qiufeng Wang, Xu Yang, Haokun Chen, Xin Geng |
| 2024 | Autaptic Synaptic Circuit Enhances Spatio-temporal Predictive Learning of Spiking Neural Networks. | Lihao Wang, Zhaofei Yu |
| 2024 | Learning with Adaptive Resource Allocation. | Jing Wang, Miao Yu, Peng Zhao, Zhi-Hua Zhou |
| 2024 | Rethinking Data Shapley for Data Selection Tasks: Misleads and Merits. | Jiachen T. Wang, Tianji Yang, James Zou, Yongchan Kwon, Ruoxi Jia |
| 2024 | RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation. | Yufei Wang, Zhou Xian, Feng Chen, Tsun-Hsuan Wang, Yian Wang, Katerina Fragkiadaki, Zackory Erickson, David Held, Chuang Gan |
| 2024 | Probabilistic Subgoal Representations for Hierarchical Reinforcement Learning. | Vivienne Huiling Wang, Tinghuai Wang, Wenyan Yang, Joni-Kristian Kmrinen, Joni Pajarinen |