| 2024 | Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks. | Lujing Zhang, Aaron Roth, Linjun Zhang |
| 2024 | Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases. | Ziyi Zhang, Sen Zhang, Yibing Zhan, Yong Luo, Yonggang Wen, Dacheng Tao |
| 2024 | Self-Consistency Training for Density-Functional-Theory Hamiltonian Prediction. | He Zhang, Chang Liu, Zun Wang, Xinran Wei, Siyuan Liu, Nanning Zheng, Bin Shao, Tie-Yan Liu |
| 2024 | Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet. | Zeyang Zhang, Xin Wang, Yijian Qin, Hong Chen, Ziwei Zhang, Xu Chu, Wenwu Zhu |
| 2024 | Multi-Factor Adaptive Vision Selection for Egocentric Video Question Answering. | Haoyu Zhang, Meng Liu, Zixin Liu, Xuemeng Song, Yaowei Wang, Liqiang Nie |
| 2024 | Neural Jump-Diffusion Temporal Point Processes. | Shuai Zhang, Chuan Zhou, Yang Aron Liu, Peng Zhang, Xixun Lin, Zhi-Ming Ma |
| 2024 | Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data. | Jiahan Zhang, Qi Wei, Feng Liu, Lei Feng |
| 2024 | Lightweight Image Super-Resolution via Flexible Meta Pruning. | Yulun Zhang, Kai Zhang, Luc Van Gool, Martin Danelljan, Fisher Yu |
| 2024 | Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring. | Jiewei Zhang, Song Guo, Peiran Dong, Jie Zhang, Ziming Liu, Yue Yu, Xiao-Ming Wu |
| 2024 | Sparse-to-dense Multimodal Image Registration via Multi-Task Learning. | Kaining Zhang, Jiayi Ma |
| 2024 | Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training. | Jiacheng Zhang, Feng Liu, Dawei Zhou, Jingfeng Zhang, Tongliang Liu |
| 2024 | Transferable Facial Privacy Protection against Blind Face Restoration via Domain-Consistent Adversarial Obfuscation. | Kui Zhang, Hang Zhou, Jie Zhang, Wenbo Zhou, Weiming Zhang, Nenghai Yu |
| 2024 | Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics. | Xinyu Zhang, Wenjie Qiu, Yi-Chen Li, Lei Yuan, Chengxing Jia, Zongzhang Zhang, Yang Yu |
| 2024 | NExT-Chat: An LMM for Chat, Detection and Segmentation. | Ao Zhang, Yuan Yao, Wei Ji, Zhiyuan Liu, Tat-Seng Chua |
| 2024 | Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations. | Jiaqi Zhai, Lucy Liao, Xing Liu, Yueming Wang, Rui Li, Xuan Cao, Leon Gao, Zhaojie Gong, Fangda Gu, Jiayuan He, Yinghai Lu, Yu Shi |
| 2024 | Robust Learning-Augmented Dictionaries. | Ali Zeynali, Shahin Kamali, Mohammad Hajiesmaili |
| 2024 | Differentiable Annealed Importance Sampling Minimizes The Jensen-Shannon Divergence Between Initial and Target Distribution. | Johannes Zenn, Robert Bamler |
| 2024 | IM-Unpack: Training and Inference with Arbitrarily Low Precision Integers. | Zhanpeng Zeng, Karthikeyan Sankaralingam, Vikas Singh |
| 2024 | Interacting Diffusion Processes for Event Sequence Forecasting. | Mai Zeng, Florence Regol, Mark Coates |
| 2024 | Graph Mixup on Approximate Gromov-Wasserstein Geodesics. | Zhichen Zeng, Ruizhong Qiu, Zhe Xu, Zhining Liu, Yuchen Yan, Tianxin Wei, Lei Ying, Jingrui He, Hanghang Tong |
| 2024 | Learning Reward for Robot Skills Using Large Language Models via Self-Alignment. | Yuwei Zeng, Yao Mu, Lin Shao |
| 2024 | Token-level Direct Preference Optimization. | Yongcheng Zeng, Guoqing Liu, Weiyu Ma, Ning Yang, Haifeng Zhang, Jun Wang |
| 2024 | Continuous Treatment Effects with Surrogate Outcomes. | Zhenghao Zeng, David Arbour, Avi Feller, Raghavendra Addanki, Ryan A. Rossi, Ritwik Sinha, Edward H. Kennedy |
| 2024 | tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs). | Junhua Zeng, Chao Li, Zhun Sun, Qibin Zhao, Guoxu Zhou |
| 2024 | Theoretical Analysis of Learned Database Operations under Distribution Shift through Distribution Learnability. | Sepanta Zeighami, Cyrus Shahabi |