| 2024 | Towards Robust Model-Based Reinforcement Learning Against Adversarial Corruption. | Chenlu Ye, Jiafan He, Quanquan Gu, Tong Zhang |
| 2024 | EMC2: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence. | Chung-Yiu Yau, Hoi-To Wai, Parameswaran Raman, Soumajyoti Sarkar, Mingyi Hong |
| 2024 | Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation. | Can Yaras, Peng Wang, Laura Balzano, Qing Qu |
| 2024 | Mobile Attention: Mobile-Friendly Linear-Attention for Vision Transformers. | Zhiyu Yao, Jian Wang, Haixu Wu, Jingdong Wang, Mingsheng Long |
| 2024 | Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict? | Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu |
| 2024 | Empowering Graph Invariance Learning with Deep Spurious Infomax. | Tianjun Yao, Yongqiang Chen, Zhenhao Chen, Kai Hu, Zhiqiang Shen, Kun Zhang |
| 2024 | Socialized Learning: Making Each Other Better Through Multi-Agent Collaboration. | Xinjie Yao, Yu Wang, Pengfei Zhu, Wanyu Lin, Jialu Li, Weihao Li, Qinghua Hu |
| 2024 | Reducing Balancing Error for Causal Inference via Optimal Transport. | Yuguang Yan, Hao Zhou, Zeqin Yang, Weilin Chen, Ruichu Cai, Zhifeng Hao |
| 2024 | Retrieval Across Any Domains via Large-scale Pre-trained Model. | Jiexi Yan, Zhihui Yin, Chenghao Xu, Cheng Deng, Heng Huang |
| 2024 | Foundations of Testing for Finite-Sample Causal Discovery. | Tom Yan, Ziyu Xu, Zachary Chase Lipton |
| 2024 | Handling Heterogeneous Curvatures in Bandit LQR Control. | Yu-Hu Yan, Jing Wang, Peng Zhao |
| 2024 | Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching. | Kai Yan, Alexander G. Schwing, Yu-Xiong Wang |
| 2024 | A Space Group Symmetry Informed Network for O(3) Equivariant Crystal Tensor Prediction. | Keqiang Yan, Alexandra Saxton, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji |
| 2024 | Exploring the LLM Journey from Cognition to Expression with Linear Representations. | Yuzi Yan, Jialian Li, Yipin Zhang, Dong Yan |
| 2024 | MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology Generation. | Nianzu Yang, Kaipeng Zeng, Haotian Lu, Yexin Wu, Zexin Yuan, Danni Chen, Shengdian Jiang, Jiaxiang Wu, Yimin Wang, Junchi Yan |
| 2024 | Mol-AE: Auto-Encoder Based Molecular Representation Learning With 3D Cloze Test Objective. | Junwei Yang, Kangjie Zheng, Siyu Long, Zaiqing Nie, Ming Zhang, Xinyu Dai, Wei-Ying Ma, Hao Zhou |
| 2024 | What is Dataset Distillation Learning? | William Yang, Ye Zhu, Zhiwei Deng, Olga Russakovsky |
| 2024 | Accelerating Look-ahead in Bayesian Optimization: Multilevel Monte Carlo is All you Need. | Shangda Yang, Vitaly Zankin, Maximilian Balandat, Stefan Scherer, Kevin T. Carlberg, Neil Walton, Kody J. H. Law |
| 2024 | One Meta-tuned Transformer is What You Need for Few-shot Learning. | Xu Yang, Huaxiu Yao, Ying Wei |
| 2024 | Neuro-Symbolic Temporal Point Processes. | Yang Yang, Chao Yang, Boyang Li, Yinghao Fu, Shuang Li |
| 2024 | Stability and Generalization of Stochastic Compositional Gradient Descent Algorithms. | Ming Yang, Xiyuan Wei, Tianbao Yang, Yiming Ying |
| 2024 | How Graph Neural Networks Learn: Lessons from Training Dynamics. | Chenxiao Yang, Qitian Wu, David Wipf, Ruoyu Sun, Junchi Yan |
| 2024 | Gated Linear Attention Transformers with Hardware-Efficient Training. | Songlin Yang, Bailin Wang, Yikang Shen, Rameswar Panda, Yoon Kim |
| 2024 | Analysis for Abductive Learning and Neural-Symbolic Reasoning Shortcuts. | Xiaowen Yang, Wenda Wei, Jie-Jing Shao, Yufeng Li, Zhi-Hua Zhou |
| 2024 | Position: Video as the New Language for Real-World Decision Making. | Sherry Yang, Jacob C. Walker, Jack Parker-Holder, Yilun Du, Jake Bruce, Andr Barreto, Pieter Abbeel, Dale Schuurmans |