International Conference on Machine Learning
ICML
A*
CORE rank
CORE rank (raw)
A*
Acceptance rate
27.5% (2024)
Fields of research
Machine Learning
Papers indexed
17,065
1988–2025
Papers per year
19883,341 peak2025
Most published authors
ICML papers
17,065 records sourced from DBLP. Search titles, filter by year, sort by recency.
| Year | Title | Authors |
|---|---|---|
| 2025 | Curse of High Dimensionality Issue in Transformer for Long Context Modeling. | Shuhai Zhang, Zeng You, Yaofo Chen, Zhiquan Wen, Qianyue Wang, Zhijie Qiu, Yuanqing Li, Mingkui Tan |
| 2025 | Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems. | Shaokun Zhang, Ming Yin, Jieyu Zhang, Jiale Liu, Zhiguang Han, Jingyang Zhang, Beibin Li, Chi Wang, Huazheng Wang, Yiran Chen, Qingyun Wu |
| 2025 | SpargeAttention: Accurate and Training-free Sparse Attention Accelerating Any Model Inference. | Jintao Zhang, Chendong Xiang, Haofeng Huang, Jia Wei, Haocheng Xi, Jun Zhu, Jianfei Chen |
| 2025 | Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach. | Xu Zhang, Kaidi Xu, Ziqing Hu, Ren Wang |
| 2025 | MODA: MOdular Duplex Attention for Multimodal Perception, Cognition, and Emotion Understanding. | Zhicheng Zhang, Wuyou Xia, Chenxi Zhao, Zhou Yan, Xiaoqiang Liu, Yongjie Zhu, Wenyu Qin, Pengfei Wan, Di Zhang, Jufeng Yang |
| 2025 | Function-to-Style Guidance of LLMs for Code Translation. | Longhui Zhang, Bin Wang, Jiahao Wang, Xiaofeng Zhao, Min Zhang, Hao Yang, Meishan Zhang, Yu Li, Jing Li, Jun Yu, Min Zhang |
| 2025 | AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N. | Tianyu Zhang, Andrew Robert Williams, Phillip Wozny, Kai-Hendrik Cohrs, Koen Ponse, Marco Jiralerspong, Soham R. Phade, Sunil Srinivasa, Lu Li, Yang Zhang, Prateek Gupta, Erman Acar, Irina Rish, Yoshua Bengio, Stephan Zheng |
| 2025 | e-GAI: e-value-based Generalized α-Investing for Online False Discovery Rate Control. | Yifan Zhang, Zijian Wei, Haojie Ren, Changliang Zou |
| 2025 | High Dynamic Range Novel View Synthesis with Single Exposure. | Kaixuan Zhang, Hu Wang, Minxian Li, Mingwu Ren, Mao Ye, Xiatian Zhu |
| 2025 | Contextual Linear Bandits with Delay as Payoff. | Mengxiao Zhang, Yingfei Wang, Haipeng Luo |
| 2025 | Diverging Preferences: When do Annotators Disagree and do Models Know? | Michael J. Q. Zhang, Zhilin Wang, Jena D. Hwang, Yi Dong, Olivier Delalleau, Yejin Choi, Eunsol Choi, Xiang Ren, Valentina Pyatkin |
| 2025 | Gradient Descent Converges Arbitrarily Fast for Logistic Regression via Large and Adaptive Stepsizes. | Ruiqi Zhang, Jingfeng Wu, Peter L. Bartlett |
| 2025 | Neural Encoding and Decoding at Scale. | Yizi Zhang, Yanchen Wang, Mehdi Azabou, Alexandre Andre, Zixuan Wang, Hanrui Lyu, International Brain Laboratory, Eva L. Dyer, Liam Paninski, Cole Lincoln Hurwitz |
| 2025 | Active Treatment Effect Estimation via Limited Samples. | Zhiheng Zhang, Haoxiang Wang, Haoxuan Li, Zhouchen Lin |
| 2025 | ELMO : Efficiency via Low-precision and Peak Memory Optimization in Large Output Spaces. | Jinbin Zhang, Nasib Ullah, Erik Schultheis, Rohit Babbar |
| 2025 | Domain2Vec: Vectorizing Datasets to Find the Optimal Data Mixture without Training. | Mozhi Zhang, Howe Tissue, Lu Wang, Xipeng Qiu |
| 2025 | DiMa: Understanding the Hardness of Online Matching Problems via Diffusion Models. | Boyu Zhang, Aocheng Shen, Bing Liu, Qiankun Zhang, Bin Yuan, Jing Wang, Shenghao Liu, Xianjun Deng |
| 2025 | Training Dynamics of In-Context Learning in Linear Attention. | Yedi Zhang, Aaditya K. Singh, Peter E. Latham, Andrew M. Saxe |
| 2025 | CellFlux: Simulating Cellular Morphology Changes via Flow Matching. | Yuhui Zhang, Yuchang Su, Chenyu Wang, Tianhong Li, Zoe Wefers, Jeffrey J. Nirschl, James Burgess, Daisy Ding, Alejandro Lozano, Emma Lundberg, Serena Yeung-Levy |
| 2025 | One Stone, Two Birds: Enhancing Adversarial Defense Through the Lens of Distributional Discrepancy. | Jiacheng Zhang, Benjamin I. P. Rubinstein, Jingfeng Zhang, Feng Liu |
| 2025 | From Weight-Based to State-Based Fine-Tuning: Further Memory Reduction on LoRA with Parallel Control. | Chi Zhang, Lianhai Ren, Jingpu Cheng, Qianxiao Li |
| 2025 | Preference learning made easy: Everything should be understood through win rate. | Lily H. Zhang, Rajesh Ranganath |
| 2025 | Generalization Performance of Ensemble Clustering: From Theory to Algorithm. | Xu Zhang, Haoye Qiu, Weixuan Liang, Hui Liu, Junhui Hou, Yuheng Jia |
| 2025 | Overcoming Multi-step Complexity in Multimodal Theory-of-Mind Reasoning: A Scalable Bayesian Planner. | Chunhui Zhang, Zhongyu Ouyang, Kwonjoon Lee, Nakul Agarwal, Sean Dae Houlihan, Soroush Vosoughi, Shao-Yuan Lo |
| 2025 | Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning. | Zhiyao Zhang, Myeung Suk Oh, Hairi, Ziyue Luo, Alvaro Velasquez, Jia Liu |
151–175 of 17,065← PreviousNext →
Comparable venues
Other A*/A conferences filed under the same field of research.
- A*ICLRInternational Conference on Learning Representations
- AAISTATSInternational Conference on Artificial Intelligence and Statistics
- A*COLTConference on Learning Theory
- APPSNParallel Problem Solving from Nature
- AECML PKDDEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (PKDD and ECML combined from 2008)
- A*NeurIPSAdvances in Neural Information Processing Systems (was NIPS)