| 2024 | OLLIE: Imitation Learning from Offline Pretraining to Online Finetuning. | Sheng Yue, Xingyuan Hua, Ju Ren, Sen Lin, Junshan Zhang, Yaoxue Zhang |
| 2024 | How to Leverage Diverse Demonstrations in Offline Imitation Learning. | Sheng Yue, Jiani Liu, Xingyuan Hua, Ju Ren, Sen Lin, Junshan Zhang, Yaoxue Zhang |
| 2024 | Federated Self-Explaining GNNs with Anti-shortcut Augmentations. | Linan Yue, Qi Liu, Weibo Gao, Ye Liu, Kai Zhang, Yichao Du, Li Wang, Fangzhou Yao |
| 2024 | Towards Resource-friendly, Extensible and Stable Incomplete Multi-view Clustering. | Shengju Yu, Zhibin Dong, Siwei Wang, Xinhang Wan, Yue Liu, Weixuan Liang, Pei Zhang, Wenxuan Tu, Xinwang Liu |
| 2024 | Efficient Algorithms for Empirical Group Distributionally Robust Optimization and Beyond. | Dingzhi Yu, Yunuo Cai, Wei Jiang, Lijun Zhang |
| 2024 | RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content. | Zhuowen Yuan, Zidi Xiong, Yi Zeng, Ning Yu, Ruoxi Jia, Dawn Song, Bo Li |
| 2024 | Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image Generators. | Jianhao Yuan, Francesco Pinto, Adam Davies, Philip Torr |
| 2024 | Self-Rewarding Language Models. | Weizhe Yuan, Richard Yuanzhe Pang, Kyunghyun Cho, Xian Li, Sainbayar Sukhbaatar, Jing Xu, Jason Weston |
| 2024 | A Linear Time and Space Local Point Cloud Geometry Encoder via Vectorized Kernel Mixture (VecKM). | Dehao Yuan, Cornelia Fermller, Tahseen Rabbani, Furong Huang, Yiannis Aloimonos |
| 2024 | Smoothing Proximal Gradient Methods for Nonsmooth Sparsity Constrained Optimization: Optimality Conditions and Global Convergence. | Ganzhao Yuan |
| 2024 | SHINE: Shielding Backdoors in Deep Reinforcement Learning. | Zhuowen Yuan, Wenbo Guo, Jinyuan Jia, Bo Li, Dawn Song |
| 2024 | Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch. | Le Yu, Bowen Yu, Haiyang Yu, Fei Huang, Yongbin Li |
| 2024 | Improving Sharpness-Aware Minimization by Lookahead. | Runsheng Yu, Youzhi Zhang, James T. Kwok |
| 2024 | SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN. | Kang You, Zekai Xu, Chen Nie, Zhijie Deng, Qinghai Guo, Xiang Wang, Zhezhi He |
| 2024 | When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models. | Haoran You, Yichao Fu, Zheng Wang, Amir Yazdanbakhsh, Yingyan Celine Lin |
| 2024 | Breadth-First Exploration on Adaptive Grid for Reinforcement Learning. | Youngsik Yoon, Gangbok Lee, Sungsoo Ahn, Jungseul Ok |
| 2024 | Optimal Acceleration for Minimax and Fixed-Point Problems is Not Unique. | Taeho Yoon, Jaeyeon Kim, Jaewook J. Suh, Ernest K. Ryu |
| 2024 | FRAG: Frequency Adapting Group for Diffusion Video Editing. | Sunjae Yoon, Gwanhyeong Koo, Geonwoo Kim, Chang D. Yoo |
| 2024 | Uncertainty Estimation by Density Aware Evidential Deep Learning. | Taeseong Yoon, Heeyoung Kim |
| 2024 | Layerwise Proximal Replay: A Proximal Point Method for Online Continual Learning. | Jinsoo Yoo, Yunpeng Liu, Frank Wood, Geoff Pleiss |
| 2024 | Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension. | Fan Yin, Jayanth Srinivasa, Kai-Wei Chang |
| 2024 | StableMask: Refining Causal Masking in Decoder-only Transformer. | Qingyu Yin, Xuzheng He, Xiang Zhuang, Yu Zhao, Jianhua Yao, Xiaoyu Shen, Qiang Zhang |
| 2024 | MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI. | Kaining Ying, Fanqing Meng, Jin Wang, Zhiqian Li, Han Lin, Yue Yang, Hao Zhang, Wenbo Zhang, Yuqi Lin, Shuo Liu, Jiayi Lei, Quanfeng Lu, Runjian Chen, Peng Xu, Renrui Zhang, Haozhe Zhang, Peng Gao, Yali Wang, Yu Qiao, Ping Luo, Kaipeng Zhang, Wenqi Shao |
| 2024 | High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling. | Yuxuan Yin, Yu Wang, Peng Li |
| 2024 | Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction. | Chen-Yu Yen, Raghav Singhal, Umang Sharma, Rajesh Ranganath, Sumit Chopra, Lerrel Pinto |