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 | Reinforcement Learning with Adaptive Reward Modeling for Expensive-to-Evaluate Systems. | Hongyuan Su, Yu Zheng, Yuan Yuan, Yuming Lin, Depeng Jin, Yong Li |
| 2025 | LapSum - One Method to Differentiate Them All: Ranking, Sorting and Top-k Selection. | Lukasz Struski, Michal B. Bednarczyk, Igor T. Podolak, Jacek Tabor |
| 2025 | Policy Optimization for CMDPs with Bandit Feedback: Learning Stochastic and Adversarial Constraints. | Francesco Emanuele Stradi, Anna Lunghi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti |
| 2025 | Learning Adversarial MDPs with Stochastic Hard Constraints. | Francesco Emanuele Stradi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti |
| 2025 | Prediction models that learn to avoid missing values. | Lena Stempfle, Anton Matsson, Newton Mwai Kinyanjui, Fredrik D. Johansson |
| 2025 | Integration-free Kernels for Equivariant Gaussian Process Modelling. | Tim Steinert, David Ginsbourger, August Lykke-Mller, Ove Christiansen, Henry Moss |
| 2025 | PaperBench: Evaluating AI's Ability to Replicate AI Research. | Giulio Starace, Oliver Jaffe, Dane Sherburn, James Aung, Jun Shern Chan, Leon Maksin, Rachel Dias, Evan Mays, Benjamin Kinsella, Wyatt Thompson, Johannes Heidecke, Amelia Glaese, Tejal Patwardhan |
| 2025 | The Polynomial Stein Discrepancy for Assessing Moment Convergence. | Narayan Srinivasan, Matthew Sutton, Christopher C. Drovandi, Leah F. South |
| 2025 | Online Learning with Unknown Constraints. | Karthik Sridharan, Seung Won Wilson Yoo |
| 2025 | Overtrained Language Models Are Harder to Fine-Tune. | Jacob Mitchell Springer, Sachin Goyal, Kaiyue Wen, Tanishq Kumar, Xiang Yue, Sadhika Malladi, Graham Neubig, Aditi Raghunathan |
| 2025 | Low-distortion and GPU-compatible Tree Embeddings in Hyperbolic Space. | Max van Spengler, Pascal Mettes |
| 2025 | An Asymptotically Optimal Approximation Algorithm for Multiobjective Submodular Maximization at Scale. | Fabian Christian Spaeh, Atsushi Miyauchi |
| 2025 | Breaking the Barrier of Hard Samples: A Data-Centric Approach to Synthetic Data for Medical Tasks. | Maynara Donato de Souza, Cleber Zanchettin |
| 2025 | Position: AI Agents Need Authenticated Delegation. | Tobin South, Samuele Marro, Thomas Hardjono, Robert Mahari, Cedric Deslandes Whitney, Alan Chan, Alex Pentland |
| 2025 | CombiMOTS: Combinatorial Multi-Objective Tree Search for Dual-Target Molecule Generation. | Thibaud Southiratn, Bonil Koo, Yijingxiu Lu, Sun Kim |
| 2025 | Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality. | Joshua Southern, Yam Eitan, Guy Bar-Shalom, Michael M. Bronstein, Haggai Maron, Fabrizio Frasca |
| 2025 | Prices, Bids, Values: One ML-Powered Combinatorial Auction to Rule Them All. | Ermis Soumalias, Jakob Heiss, Jakob Weissteiner, Sven Seuken |
| 2025 | DocVXQA: Context-Aware Visual Explanations for Document Question Answering. | Mohamed Ali Souibgui, Changkyu Choi, Andrey Barsky, Kangsoo Jung, Ernest Valveny, Dimosthenis Karatzas |
| 2025 | Learning Distances from Data with Normalizing Flows and Score Matching. | Peter Sorrenson, Daniel Behrend-Uriarte, Christoph Schnrr, Ullrich Kthe |
| 2025 | PDE-Controller: LLMs for Autoformalization and Reasoning of PDEs. | Mauricio Soroco, Jialin Song, Mengzhou Xia, Kye Emond, Weiran Sun, Wuyang Chen |
| 2025 | Deep Ridgelet Transform and Unified Universality Theorem for Deep and Shallow Joint-Group-Equivariant Machines. | Sho Sonoda, Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda |
| 2025 | Multi-Timescale Dynamics Model Bayesian Optimization for Plasma Stabilization in Tokamaks. | Rohit Sonker, Alexandre Capone, Andrew Rothstein, Hiro Josep Farre Kaga, Egemen Kolemen, Jeff Schneider |
| 2025 | Learning Invariant Causal Mechanism from Vision-Language Models. | Zeen Song, Siyu Zhao, Xingyu Zhang, Jiangmeng Li, Changwen Zheng, Wenwen Qiang |
| 2025 | Deep Unsupervised Hashing via External Guidance. | Qihong Song, XitingLiu, Hongyuan Zhu, Joey Tianyi Zhou, Xi Peng, Peng Hu |
| 2025 | Smooth Interpolation for Improved Discrete Graph Generative Models. | Yuxuan Song, Juntong Shi, Jingjing Gong, Minkai Xu, Stefano Ermon, Hao Zhou, Wei-Ying Ma |
876–900 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)