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 | Long-Short Alignment for Effective Long-Context Modeling in LLMs. | Tianqi Du, Haotian Huang, Yifei Wang, Yisen Wang |
| 2025 | DIS-CO: Discovering Copyrighted Content in VLMs Training Data. | Andr V. Duarte, Xuandong Zhao, Arlindo L. Oliveira, Lei Li |
| 2025 | CoPINN: Cognitive Physics-Informed Neural Networks. | Siyuan Duan, Wenyuan Wu, Peng Hu, Zhenwen Ren, Dezhong Peng, Yuan Sun |
| 2025 | MxMoE: Mixed-precision Quantization for MoE with Accuracy and Performance Co-Design. | Haojie Duanmu, Xiuhong Li, Zhihang Yuan, Size Zheng, Jiangfei Duan, Xingcheng Zhang, Dahua Lin |
| 2025 | Position: Current Model Licensing Practices are Dragging Us into a Quagmire of Legal Noncompliance. | Moming Duan, Mingzhe Du, Rui Zhao, Mengying Wang, Yinghui Wu, Nigel Shadbolt, Bingsheng He |
| 2025 | Deep Fuzzy Multi-view Learning for Reliable Classification. | Siyuan Duan, Yuan Sun, Dezhong Peng, Guiduo Duan, Xi Peng, Peng Hu |
| 2025 | Unnatural Languages Are Not Bugs but Features for LLMs. | Keyu Duan, Yiran Zhao, Zhili Feng, Jinjie Ni, Tianyu Pang, Qian Liu, Tianle Cai, Longxu Dou, Kenji Kawaguchi, Anirudh Goyal, J. Zico Kolter, Michael Qizhe Shieh |
| 2025 | Optimizing Temperature for Language Models with Multi-Sample Inference. | Weihua Du, Yiming Yang, Sean Welleck |
| 2025 | Textual Unlearning Gives a False Sense of Unlearning. | Jiacheng Du, Zhibo Wang, Jie Zhang, Xiaoyi Pang, Jiahui Hu, Kui Ren |
| 2025 | Position: Constants are Critical in Regret Bounds for Reinforcement Learning. | Simone Drago, Marco Mussi, Alberto Maria Metelli |
| 2025 | Sleeping Reinforcement Learning. | Simone Drago, Marco Mussi, Alberto Maria Metelli |
| 2025 | Towards Theoretical Understanding of Sequential Decision Making with Preference Feedback. | Simone Drago, Marco Mussi, Alberto Maria Metelli |
| 2025 | On the Importance of Embedding Norms in Self-Supervised Learning. | Andrew Draganov, Sharvaree Vadgama, Sebastian Damrich, Jan Niklas Bhm, Lucas Maes, Dmitry Kobak, Erik J. Bekkers |
| 2025 | Harmonizing Geometry and Uncertainty: Diffusion with Hyperspheres. | Muskan Dosi, Chiranjeev Chiranjeev, Kartik Thakral, Mayank Vatsa, Richa Singh |
| 2025 | ADDQ: Adaptive distributional double Q-learning. | Leif Dring, Benedikt Wille, Maximilian Birr, Mihail Brsan, Martin Slowik |
| 2025 | Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models. | Konstantin Donhauser, Kristina Ulicna, Gemma E. Moran, Aditya Ravuri, Kian Kenyon-Dean, Cian Eastwood, Jason S. Hartford |
| 2025 | ERICT: Enhancing Robustness by Identifying Concept Tokens in Zero-Shot Vision Language Models. | Xinpeng Dong, Min Zhang, Didi Zhu, Ye Jun Jian, Keli Zhang, Aimin Zhou, Fei Wu, Kun Kuang |
| 2025 | Emergent Response Planning in LLMs. | Zhichen Dong, Zhanhui Zhou, Zhixuan Liu, Chao Yang, Chaochao Lu |
| 2025 | Efficient Curvature-Aware Hypergradient Approximation for Bilevel Optimization. | Youran Dong, Junfeng Yang, Wei Yao, Jin Zhang |
| 2025 | TypyBench: Evaluating LLM Type Inference for Untyped Python Repositories. | Honghua Dong, Jiacheng Yang, Xun Deng, Yuhe Jiang, Gennady Pekhimenko, Fan Long, Xujie Si |
| 2025 | Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression. | Peijie Dong, Zhenheng Tang, Xiang Liu, Lujun Li, Xiaowen Chu, Bo Li |
| 2025 | Permutation-based Rank Test in the Presence of Discretization and Application in Causal Discovery with Mixed Data. | Xinshuai Dong, Ignavier Ng, Boyang Sun, Haoyue Dai, Guang-Yuan Hao, Shunxing Fan, Peter Spirtes, Yumou Qiu, Kun Zhang |
| 2025 | Discrepancies are Virtue: Weak-to-Strong Generalization through Lens of Intrinsic Dimension. | Yijun Dong, Yicheng Li, Yunai Li, Jason D. Lee, Qi Lei |
| 2025 | Exactly Tight Information-theoretic Generalization Bounds via Binary Jensen-Shannon Divergence. | Yuxin Dong, Haoran Guo, Tieliang Gong, Wen Wen, Chen Li |
| 2025 | In-Context Reinforcement Learning From Suboptimal Historical Data. | Juncheng Dong, Moyang Guo, Ethan X. Fang, Zhuoran Yang, Vahid Tarokh |
2,501–2,525 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)