| 2025 | Aligning Human Motion Generation with Human Perceptions. | Haoru Wang, Wentao Zhu, Luyi Miao, Yishu Xu, Feng Gao, Qi Tian, Yizhou Wang |
| 2025 | MotionDreamer: One-to-Many Motion Synthesis with Localized Generative Masked Transformer. | Yilin Wang, Chuan Guo, Yuxuan Mu, Muhammad Gohar Javed, Xinxin Zuo, Juwei Lu, Hai Jiang, Li Cheng |
| 2025 | Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow. | Fu-Yun Wang, Ling Yang, Zhaoyang Huang, Mengdi Wang, Hongsheng Li |
| 2025 | DAMO: Decoding by Accumulating Activations Momentum for Mitigating Hallucinations in Vision-Language Models. | Kaishen Wang, Hengrui Gu, Meijun Gao, Kaixiong Zhou |
| 2025 | Watch Less, Do More: Implicit Skill Discovery for Video-Conditioned Policy. | Jiangxing Wang, Zongqing Lu |
| 2025 | LoRA-Pro: Are Low-Rank Adapters Properly Optimized? | Zhengbo Wang, Jian Liang, Ran He, Zilei Wang, Tieniu Tan |
| 2025 | MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation. | Chenxi Wang, Xiang Chen, Ningyu Zhang, Bozhong Tian, Haoming Xu, Shumin Deng, Huajun Chen |
| 2025 | Semantics-Adaptive Activation Intervention for LLMs via Dynamic Steering Vectors. | Weixuan Wang, Jingyuan Yang, Wei Peng |
| 2025 | Event-Driven Online Vertical Federated Learning. | Ganyu Wang, Boyu Wang, Bin Gu, Charles Ling |
| 2025 | Metamizer: A Versatile Neural Optimizer for Fast and Accurate Physics Simulations. | Nils Wandel, Stefan Schulz, Reinhard Klein |
| 2025 | Incorporating Visual Correspondence into Diffusion Model for Virtual Try-On. | Siqi Wan, Jingwen Chen, Yingwei Pan, Ting Yao, Tao Mei |
| 2025 | PolyPythias: Stability and Outliers across Fifty Language Model Pre-Training Runs. | Oskar van der Wal, Pietro Lesci, Max Mller-Eberstein, Naomi Saphra, Hailey Schoelkopf, Willem H. Zuidema, Stella Biderman |
| 2025 | Integral Performance Approximation for Continuous-Time Reinforcement Learning Control. | Brent A. Wallace, Jennie Si |
| 2025 | Metric-Driven Attributions for Vision Transformers. | Chase Walker, Sumit Kumar Jha, Rickard Ewetz |
| 2025 | Time After Time: Deep-Q Effect Estimation for Interventions on When and What to do. | Yoav Wald, Mark Goldstein, Yonathan Efroni, Wouter A. C. van Amsterdam, Rajesh Ranganath |
| 2025 | The Power of LLM-Generated Synthetic Data for Stance Detection in Online Political Discussions. | Stefan Sylvius Wagner, Maike Behrendt, Marc Ziegele, Stefan Harmeling |
| 2025 | Learning from End User Data with Shuffled Differential Privacy over Kernel Densities. | Tal Wagner |
| 2025 | DRoP: Distributionally Robust Data Pruning. | Artem M. Vysogorets, Kartik Ahuja, Julia Kempe |
| 2025 | From an LLM Swarm to a PDDL-empowered Hive: Planning Self-executed Instructions in a Multi-modal Jungle. | Kaustubh Vyas, Damien Graux, Yijun Yang, Sbastien Montella, Chenxin Diao, Wendi Zhou, Pavlos Vougiouklis, Ruofei Lai, Yang Ren, Keshuang Li, Jeff Z. Pan |
| 2025 | Multi-Perspective Data Augmentation for Few-shot Object Detection. | Anh-Khoa Nguyen Vu, Quoc-Truong Truong, Vinh-Tiep Nguyen, Thanh Duc Ngo, Thanh-Toan Do, Tam V. Nguyen |
| 2025 | Input Space Mode Connectivity in Deep Neural Networks. | Jakub Vrbel, Ori Shem-Ur, Yaron Oz, David Krueger |
| 2025 | Instant Policy: In-Context Imitation Learning via Graph Diffusion. | Vitalis Vosylius, Edward Johns |
| 2025 | Demystifying the Token Dynamics of Deep Selective State Space Models. | Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan Minh Nguyen |
| 2025 | Lossy Compression with Pretrained Diffusion Models. | Jeremy Vonderfecht, Feng Liu |
| 2025 | MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL. | Claas Voelcker, Marcel Hussing, Eric Eaton, Amir-massoud Farahmand, Igor Gilitschenski |