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 | Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling. | Walid Bendada, Guillaume Salha-Galvan, Romain Hennequin, Tho Bontempelli, Thomas Bouaba, Tristan Cazenave |
| 2025 | The Limits of Predicting Agents from Behaviour. | Alexis Bellot, Jonathan Richens, Tom Everitt |
| 2025 | The Generalized Skew Spectrum of Graphs. | Armando Bellante, Martin Plvala, Alessandro Luongo |
| 2025 | Theoretical guarantees on the best-of-n alignment policy. | Ahmad Beirami, Alekh Agarwal, Jonathan Berant, Alexander Nicholas D'Amour, Jacob Eisenstein, Chirag Nagpal, Ananda Theertha Suresh |
| 2025 | Joint Metric Space Embedding by Unbalanced Optimal Transport with Gromov-Wasserstein Marginal Penalization. | Florian Beier, Moritz Piening, Robert Beinert, Gabriele Steidl |
| 2025 | Best of Both Worlds: Advantages of Hybrid Graph Sequence Models. | Ali Behrouz, Ali Parviz, Mahdi Karami, Clayton Sanford, Bryan Perozzi, Vahab Mirrokni |
| 2025 | Counting in Small Transformers: The Delicate Interplay between Attention and Feed-Forward Layers. | Freya Behrens, Luca Biggio, Lenka Zdeborov |
| 2025 | Correlation Clustering Beyond the Pivot Algorithm. | Soheil Behnezhad, Moses Charikar, Vincent Cohen-Addad, Alma Ghafari, Weiyun Ma |
| 2025 | Log-Sum-Exponential Estimator for Off-Policy Evaluation and Learning. | Armin Behnamnia, Gholamali Aminian, Alireza Aghaei, Chengchun Shi, Vincent Y. F. Tan, Hamid R. Rabiee |
| 2025 | RocketKV: Accelerating Long-Context LLM Inference via Two-Stage KV Cache Compression. | Payman Behnam, Yaosheng Fu, Ritchie Zhao, Po-An Tsai, Zhiding Yu, Alexey Tumanov |
| 2025 | xLSTM 7B: A Recurrent LLM for Fast and Efficient Inference. | Maximilian Beck, Korbinian Pppel, Phillip Lippe, Richard Kurle, Patrick M. Blies, Gnter Klambauer, Sebastian Bck, Sepp Hochreiter |
| 2025 | Grokking at the Edge of Linear Separability. | Alon Beck, Noam Itzhak Levi, Yohai Bar-Sinai |
| 2025 | Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks. | Maya Bechler-Speicher, Ben Finkelshtein, Fabrizio Frasca, Luis Mller, Jan Tnshoff, Antoine Siraudin, Viktor Zaverkin, Michael M. Bronstein, Mathias Niepert, Bryan Perozzi, Mikhail Galkin, Christopher Morris |
| 2025 | Lower Bounds for Chain-of-Thought Reasoning in Hard-Attention Transformers. | Alireza Amiri Bavandpour, Xinting Huang, Mark Rofin, Michael Hahn |
| 2025 | Zero Shot Generalization of Vision-Based RL Without Data Augmentation. | Sumeet Batra, Gaurav S. Sukhatme |
| 2025 | Explaining, Fast and Slow: Abstraction and Refinement of Provable Explanations. | Shahaf Bassan, Yizhak Yisrael Elboher, Tobias Ladner, Matthias Althoff, Guy Katz |
| 2025 | What makes an Ensemble (Un) Interpretable? | Shahaf Bassan, Guy Amir, Meirav Zehavi, Guy Katz |
| 2025 | Robust Conformal Outlier Detection under Contaminated Reference Data. | Meshi Bashari, Matteo Sesia, Yaniv Romano |
| 2025 | A Certified Unlearning Approach without Access to Source Data. | Umit Yigit Basaran, Sk Miraj Ahmed, Amit Roy-Chowdhury, Basak Guler |
| 2025 | Distilling the Knowledge in Data Pruning. | Emanuel Ben Baruch, Adam Botach, Igor Kviatkovsky, Manoj Aggarwal, Grard G. Medioni |
| 2025 | SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations. | Grigory Bartosh, Dmitry P. Vetrov, Christian A. Naesseth |
| 2025 | On Volume Minimization in Conformal Regression. | Batiste Le Bars, Pierre Humbert |
| 2025 | Feature Shift Localization Network. | Mriam Barrabs, Daniel Mas Montserrat, Kapal Dev, Alexander G. Ioannidis |
| 2025 | Stealing That Free Lunch: Exposing the Limits of Dyna-Style Reinforcement Learning. | Brett Barkley, David Fridovich-Keil |
| 2025 | Ehrenfeucht-Haussler Rank and Chain of Thought. | Pablo Barcel, Alexander Kozachinskiy, Tomasz Steifer |
2,901–2,925 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)