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 | Enhancing Decision-Making of Large Language Models via Actor-Critic. | Heng Dong, Kefei Duan, Chongjie Zhang |
| 2025 | Leveraging Randomness in Model and Data Partitioning for Privacy Amplification. | Andy Dong, Wei-Ning Chen, Ayfer zgr |
| 2025 | Maximum Entropy Reinforcement Learning with Diffusion Policy. | Xiaoyi Dong, Jian Cheng, Xi Sheryl Zhang |
| 2025 | STP: Self-play LLM Theorem Provers with Iterative Conjecturing and Proving. | Kefan Dong, Tengyu Ma |
| 2025 | Maintaining Proportional Committees with Dynamic Candidate Sets. | Chris Dong, Jannik Peters |
| 2025 | A Lens into Interpretable Transformer Mistakes via Semantic Dependency. | Ruo-Jing Dong, Yu Yao, Bo Han, Tongliang Liu |
| 2025 | Position: The Categorization of Race in ML is a Flawed Premise. | Miriam Doh, Benedikt Hltgen, Piera Riccio, Nuria Oliver |
| 2025 | Ad-Hoc Human-AI Coordination Challenge. | Tin Dizdarevic, Ravi Hammond, Tobias Gessler, Anisoara Calinescu, Jonathan Cook, Matteo Gallici, Andrei Lupu, Jakob Nicolaus Foerster |
| 2025 | LBI-FL: Low-Bit Integerized Federated Learning with Temporally Dynamic Bit-Width Allocation. | Li Ding, Hao Zhang, Wenrui Dai, Chenglin Li, Weijia Lu, Zhifei Yang, Xiaodong Zhang, Xiaofeng Ma, Junni Zou, Hongkai Xiong |
| 2025 | BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute. | Dujian Ding, Ankur Mallick, Shaokun Zhang, Chi Wang, Daniel Madrigal, Mirian del Carmen Hipolito Garcia, Menglin Xia, Laks V. S. Lakshmanan, Qingyun Wu, Victor Rhle |
| 2025 | Visual Abstraction: A Plug-and-Play Approach for Text-Visual Retrieval. | Guofeng Ding, Yiding Lu, Peng Hu, Mouxing Yang, Yijie Lin, Xi Peng |
| 2025 | NeuroTree: Hierarchical Functional Brain Pathway Decoding for Mental Health Disorders. | Jun-En Ding, Dongsheng Luo, Chenwei Wu, Feng Liu |
| 2025 | Scalable Non-Equivariant 3D Molecule Generation via Rotational Alignment. | Yuhui Ding, Thomas Hofmann |
| 2025 | Nearly Optimal Algorithms for Contextual Dueling Bandits from Adversarial Feedback. | Qiwei Di, Jiafan He, Quanquan Gu |
| 2025 | MapEval: A Map-Based Evaluation of Geo-Spatial Reasoning in Foundation Models. | Mahir Labib Dihan, Md Tanvir Hassan, Md Tanvir Parvez, Md Hasebul Hasan, Md Almash Alam, Muhammad Aamir Cheema, Mohammed Eunus Ali, Md. Rizwan Parvez |
| 2025 | On Zero-Initialized Attention: Optimal Prompt and Gating Factor Estimation. | Nghiem Tuong Diep, Huy Nguyen, Chau Nguyen, Minh Le, Duy Minh Ho Nguyen, Daniel Sonntag, Mathias Niepert, Nhat Ho |
| 2025 | Score-based Pullback Riemannian Geometry: Extracting the Data Manifold Geometry using Anisotropic Flows. | Willem Diepeveen, Georgios Batzolis, Zakhar Shumaylov, Carola-Bibiane Schnlieb |
| 2025 | Statistical Query Hardness of Multiclass Linear Classification with Random Classification Noise. | Ilias Diakonikolas, Mingchen Ma, Lisheng Ren, Christos Tzamos |
| 2025 | Online Linear Classification with Massart Noise. | Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis |
| 2025 | Efficient Multivariate Robust Mean Estimation Under Mean-Shift Contamination. | Ilias Diakonikolas, Giannis Iakovidis, Daniel Kane, Thanasis Pittas |
| 2025 | On Fine-Grained Distinct Element Estimation. | Ilias Diakonikolas, Daniel Kane, Jasper C. H. Lee, Thanasis Pittas, David P. Woodruff, Samson Zhou |
| 2025 | Batch List-Decodable Linear Regression via Higher Moments. | Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar, Sihan Liu, Thanasis Pittas |
| 2025 | On Learning Parallel Pancakes with Mostly Uniform Weights. | Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar, Jasper C. H. Lee, Thanasis Pittas |
| 2025 | Optimizing Adaptive Attacks against Watermarks for Language Models. | Abdulrahman Diaa, Toluwani Aremu, Nils Lukas |
| 2025 | Continuous Bayesian Model Selection for Multivariate Causal Discovery. | Anish Dhir, Ruby Sedgwick, Avinash Kori, Ben Glocker, Mark van der Wilk |
2,526–2,550 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)