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 | Reward Translation via Reward Machine in Semi-Alignable MDPs. | Yun Hua, Haosheng Chen, Wenhao Li, Bo Jin, Baoxiang Wang, Hongyuan Zha, Xiangfeng Wang |
| 2025 | OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning. | Cong Hua, Qianqian Xu, Zhiyong Yang, Zitai Wang, Shilong Bao, Qingming Huang |
| 2025 | Connecting Thompson Sampling and UCB: Towards More Efficient Trade-offs Between Privacy and Regret. | Bingshan Hu, Zhiming Huang, Tianyue H. Zhang, Mathias Lcuyer, Nidhi Hegde |
| 2025 | Empirical Privacy Variance. | Yuzheng Hu, Fan Wu, Ruicheng Xian, Yuhang Liu, Lydia Zakynthinou, Pritish Kamath, Chiyuan Zhang, David A. Forsyth |
| 2025 | Divide and Conquer: Grounding LLMs as Efficient Decision-Making Agents via Offline Hierarchical Reinforcement Learning. | Zican Hu, Wei Liu, Xiaoye Qu, Xiangyu Yue, Chunlin Chen, Zhi Wang, Yu Cheng |
| 2025 | Incorporating Arbitrary Matrix Group Equivariance into KANs. | Lexiang Hu, Yisen Wang, Zhouchen Lin |
| 2025 | A-PSRO: A Unified Strategy Learning Method with Advantage Metric for Normal-form Games. | Yudong Hu, Haoran Li, Congying Han, Tiande Guo, Bonan Li, Mingqiang Li |
| 2025 | Learning Imbalanced Data with Beneficial Label Noise. | Guangzheng Hu, Feng Liu, Mingming Gong, Guanghui Wang, Liuhua Peng |
| 2025 | Contextual Online Decision Making with Infinite-Dimensional Functional Regression. | Haichen Hu, Rui Ai, Stephen Bates, David Simchi-Levi |
| 2025 | The Sample Complexity of Online Strategic Decision Making with Information Asymmetry and Knowledge Transportability. | Jiachen Hu, Rui Ai, Han Zhong, Xiaoyu Chen, Liwei Wang, Zhaoran Wang, Zhuoran Yang |
| 2025 | Elucidating the Design Space of Multimodal Protein Language Models. | Cheng-Yen Hsieh, Xinyou Wang, Daiheng Zhang, Dongyu Xue, Fei Ye, Shujian Huang, Zaixiang Zheng, Quanquan Gu |
| 2025 | RAGGED: Towards Informed Design of Scalable and Stable RAG Systems. | Jennifer Hsia, Afreen Shaikh, Zora Zhiruo Wang, Graham Neubig |
| 2025 | Scaling Trends in Language Model Robustness. | Nikolaus H. R. Howe, Ian R. McKenzie, Oskar John Hollinsworth, Michal Zajac, Tom Tseng, Aaron David Tucker, Pierre-Luc Bacon, Adam Gleave |
| 2025 | Private Federated Learning using Preference-Optimized Synthetic Data. | Charlie Hou, Mei-Yu Wang, Yige Zhu, Daniel Lazar, Giulia Fanti |
| 2025 | ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation. | Yupeng Hou, Jianmo Ni, Zhankui He, Noveen Sachdeva, Wang-Cheng Kang, Ed H. Chi, Julian J. McAuley, Derek Zhiyuan Cheng |
| 2025 | T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling. | Zhenyu Hou, Xin Lv, Rui Lu, Jiajie Zhang, Yujiang Li, Zijun Yao, Juanzi Li, Jie Tang, Yuxiao Dong |
| 2025 | A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning. | Yaxin Hou, Yuheng Jia |
| 2025 | Do Vision-Language Models Really Understand Visual Language? | Yifan Hou, Buse Giledereli, Yilei Tu, Mrinmaya Sachan |
| 2025 | Instruction-Following Pruning for Large Language Models. | Bairu Hou, Qibin Chen, Jianyu Wang, Guoli Yin, Chong Wang, Nan Du, Ruoming Pang, Shiyu Chang, Tao Lei |
| 2025 | Universal Length Generalization with Turing Programs. | Kaiying Hou, David Brandfonbrener, Sham M. Kakade, Samy Jelassi, Eran Malach |
| 2025 | Dynamical Modeling of Behaviorally Relevant Spatiotemporal Patterns in Neural Imaging Data. | Sayed Mohammad Hosseini, Maryam Shanechi |
| 2025 | QPRL : Learning Optimal Policies with Quasi-Potential Functions for Asymmetric Traversal. | Jumman Hossain, Nirmalya Roy |
| 2025 | The Role of Randomness in Stability. | Max Hopkins, Shay Moran |
| 2025 | Energy-Based Preference Model Offers Better Offline Alignment than the Bradley-Terry Preference Model. | Yuzhong Hong, Hanshan Zhang, Junwei Bao, Hongfei Jiang, Yang Song |
| 2025 | On the Provable Separation of Scales in Maximal Update Parameterization. | Letong Hong, Zhangyang Wang |
2,126–2,150 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)