| 2024 | BAT: Learning to Reason about Spatial Sounds with Large Language Models. | Zhisheng Zheng, Puyuan Peng, Ziyang Ma, Xie Chen, Eunsol Choi, David Harwath |
| 2024 | Conformal Predictions under Markovian Data. | Frdric Zheng, Alexandre Proutire |
| 2024 | Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss. | Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Shuang Ma, Hal Daum III, Huazhe Xu, John Langford, Praveen Palanisamy, Kalyan Shankar Basu, Furong Huang |
| 2024 | ESM All-Atom: Multi-Scale Protein Language Model for Unified Molecular Modeling. | Kangjie Zheng, Siyu Long, Tianyu Lu, Junwei Yang, Xinyu Dai, Ming Zhang, Zaiqing Nie, Wei-Ying Ma, Hao Zhou |
| 2024 | Characteristic Guidance: Non-linear Correction for Diffusion Model at Large Guidance Scale. | Candi Zheng, Yuan Lan |
| 2024 | GPT-4V(ision) is a Generalist Web Agent, if Grounded. | Boyuan Zheng, Boyu Gou, Jihyung Kil, Huan Sun, Yu Su |
| 2024 | Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics. | Haoyang Zheng, Hengrong Du, Qi Feng, Wei Deng, Guang Lin |
| 2024 | Exploiting Negative Samples: A Catalyst for Cohort Discovery in Healthcare Analytics. | Kaiping Zheng, Horng Ruey Chua, Melanie Herschel, H. V. Jagadish, Beng Chin Ooi, James Wei Luen Yip |
| 2024 | PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control. | Ruijie Zheng, Ching-An Cheng, Hal Daum III, Furong Huang, Andrey Kolobov |
| 2024 | How Does Goal Relabeling Improve Sample Efficiency? | Sirui Zheng, Chenjia Bai, Zhuoran Yang, Zhaoran Wang |
| 2024 | Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning. | Bowen Zheng, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan |
| 2024 | ContPhy: Continuum Physical Concept Learning and Reasoning from Videos. | Zhicheng Zheng, Xin Yan, Zhenfang Chen, Jingzhou Wang, Qin Zhi Eddie Lim, Joshua B. Tenenbaum, Chuang Gan |
| 2024 | Clifford-Steerable Convolutional Neural Networks. | Maksim Zhdanov, David Ruhe, Maurice Weiler, Ana Lucic, Johannes Brandstetter, Patrick Forr |
| 2024 | LangCell: Language-Cell Pre-training for Cell Identity Understanding. | Suyuan Zhao, Jiahuan Zhang, Yushuai Wu, Yizhen Luo, Zaiqing Nie |
| 2024 | Pre-Training Protein Bi-level Representation Through Span Mask Strategy On 3D Protein Chains. | Jiale Zhao, Wanru Zhuang, Jia Song, Yaqi Li, Shuqi Lu |
| 2024 | Optimistic Multi-Agent Policy Gradient. | Wenshuai Zhao, Yi Zhao, Zhiyuan Li, Juho Kannala, Joni Pajarinen |
| 2024 | Defense against Backdoor Attack on Pre-trained Language Models via Head Pruning and Attention Normalization. | Xingyi Zhao, Depeng Xu, Shuhan Yuan |
| 2024 | Gradient-based Visual Explanation for Transformer-based CLIP. | Chenyang Zhao, Kun Wang, Xingyu Zeng, Rui Zhao, Antoni B. Chan |
| 2024 | Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-tailed Learning. | Zhe Zhao, Pengkun Wang, Haibin Wen, Wei Xu, Song Lai, Qingfu Zhang, Yang Wang |
| 2024 | A Statistical Theory of Regularization-Based Continual Learning. | Xuyang Zhao, Huiyuan Wang, Weiran Huang, Wei Lin |
| 2024 | Is Inverse Reinforcement Learning Harder than Standard Reinforcement Learning? A Theoretical Perspective. | Lei Zhao, Mengdi Wang, Yu Bai |
| 2024 | Quantum Implicit Neural Representations. | Jiaming Zhao, Wenbo Qiao, Peng Zhang, Hui Gao |
| 2024 | Rethinking Adversarial Robustness in the Context of the Right to be Forgotten. | Chenxu Zhao, Wei Qian, Yangyi Li, Aobo Chen, Mengdi Huai |
| 2024 | Spider: A Unified Framework for Context-dependent Concept Segmentation. | Xiaoqi Zhao, Youwei Pang, Wei Ji, Baicheng Sheng, Jiaming Zuo, Lihe Zhang, Huchuan Lu |
| 2024 | Absolute Policy Optimization: Enhancing Lower Probability Bound of Performance with High Confidence. | Weiye Zhao, Feihan Li, Yifan Sun, Rui Chen, Tianhao Wei, Changliu Liu |