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 | Online Laplacian-Based Representation Learning in Reinforcement Learning. | Maheed H. Ahmed, Jayanth Bhargav, Mahsa Ghasemi |
| 2025 | Optimal Sensor Scheduling and Selection for Continuous-Discrete Kalman Filtering with Auxiliary Dynamics. | Mohamad Al Ahdab, John Leth, Zheng-Hua Tan |
| 2025 | FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch. | Virginia Aglietti, Ira Ktena, Jessica Schrouff, Eleni Sgouritsa, Francisco J. R. Ruiz, Alan Malek, Alexis Bellot, Silvia Chiappa |
| 2025 | NextCoder: Robust Adaptation of Code LMs to Diverse Code Edits. | Tushar Aggarwal, Swayam Singh, Abhijeet Awasthi, Aditya Kanade, Nagarajan Natarajan |
| 2025 | AlphaVerus: Bootstrapping Formally Verified Code Generation through Self-Improving Translation and Treefinement. | Pranjal Aggarwal, Bryan Parno, Sean Welleck |
| 2025 | The Missing Alignment Link of In-context Learning on Sequences. | Harshvardhan Agarwal, Sunita Sarawagi |
| 2025 | Proto Successor Measure: Representing the Behavior Space of an RL Agent. | Siddhant Agarwal, Harshit Sikchi, Peter Stone, Amy Zhang |
| 2025 | FedECADO: A Dynamical System Model of Federated Learning. | Aayushya Agarwal, Gauri Joshi, Lawrence T. Pileggi |
| 2025 | Design Considerations in Offline Preference-based RL. | Alekh Agarwal, Christoph Dann, Teodor Vanislavov Marinov |
| 2025 | Optimal Fair Learning Robust to Adversarial Distribution Shift. | Sushant Agarwal, Amit Deshpande, Rajmohan Rajaraman, Ravi Sundaram |
| 2025 | Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry. | Mohammed Adnan, Rohan Jain, Ekansh Sharma, Rahul Krishnan, Yani Ioannou |
| 2025 | From Mechanistic Interpretability to Mechanistic Biology: Training, Evaluating, and Interpreting Sparse Autoencoders on Protein Language Models. | Etowah Adams, Liam Bai, Minji Lee, Yiyang Yu, Mohammed AlQuraishi |
| 2025 | An in depth look at the Procrustes-Wasserstein distance: properties and barycenters. | Davide Adamo, Marco Corneli, Manon Vuillien, Emmanuelle Vila |
| 2025 | Inverse Problem Sampling in Latent Space Using Sequential Monte Carlo. | Idan Achituve, Hai Victor Habi, Amir Rosenfeld, Arnon Netzer, Idit Diamant, Ethan Fetaya |
| 2025 | Geometric Median (GM) Matching for Robust k-Subset Selection from Noisy Data. | Anish Acharya, Sujay Sanghavi, Alex Dimakis, Inderjit S. Dhillon |
| 2025 | Star Attention: Efficient LLM Inference over Long Sequences. | Shantanu Acharya, Fei Jia, Boris Ginsburg |
| 2025 | Grokking in the Wild: Data Augmentation for Real-World Multi-Hop Reasoning with Transformers. | Roman Abramov, Felix Steinbauer, Gjergji Kasneci |
| 2025 | EnIGMA: Interactive Tools Substantially Assist LM Agents in Finding Security Vulnerabilities. | Talor Abramovich, Meet Udeshi, Minghao Shao, Kilian Lieret, Haoran Xi, Kimberly Milner, Sofija Jancheska, John Yang, Carlos E. Jimenez, Farshad Khorrami, Prashanth Krishnamurthy, Brendan Dolan-Gavitt, Muhammad Shafique, Karthik R. Narasimhan, Ramesh Karri, Ofir Press |
| 2025 | Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models. | Samira Abnar, Harshay Shah, Dan Busbridge, Alaaeldin El-Nouby, Joshua M. Susskind, Vimal Thilak |
| 2025 | Soup-of-Experts: Pretraining Specialist Models via Parameters Averaging. | Pierre Ablin, Angelos Katharopoulos, Skyler Seto, David Grangier |
| 2025 | Consensus Is All You Get: The Role of Attention in Transformers. | lvaro Rodrguez Abella, Joo Pedro Silvestre, Paulo Tabuada |
| 2025 | Task Generalization with Autoregressive Compositional Structure: Can Learning from D Tasks Generalize to DT Tasks? | Amirhesam Abedsoltan, Huaqing Zhang, Kaiyue Wen, Hongzhou Lin, Jingzhao Zhang, Mikhail Belkin |
| 2025 | LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models. | Marwa Abdulhai, Isadora White, Charlie Victor Snell, Charles Sun, Joey Hong, Yuexiang Zhai, Kelvin Xu, Sergey Levine |
| 2025 | Graph Neural Network Generalization With Gaussian Mixture Model Based Augmentation. | Yassine Abbahaddou, Fragkiskos D. Malliaros, Johannes F. Lutzeyer, Amine Mohamed Aboussalah, Michalis Vazirgiannis |
| 2025 | The Value of Prediction in Identifying the Worst-Off. | Unai Fischer Abaigar, Christoph Kern, Juan Carlos Perdomo |
3,001–3,025 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)