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 | E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time. | Adam Breuer |
| 2025 | Integer Programming for Generalized Causal Bootstrap Designs. | Jennifer Rogers Brennan, Sbastien Lahaie, Adel Javanmard, Nick Doudchenko, Jean Pouget-Abadie |
| 2025 | Learning-Augmented Hierarchical Clustering. | Vladimir Braverman, Jon C. Ergun, Chen Wang, Samson Zhou |
| 2025 | Relative Error Fair Clustering in the Weak-Strong Oracle Model. | Vladimir Braverman, Prathamesh Dharangutte, Shaofeng H.-C. Jiang, Hoai-An Nguyen, Chen Wang, Yubo Zhang, Samson Zhou |
| 2025 | DEFAME: Dynamic Evidence-based FAct-checking with Multimodal Experts. | Tobias Braun, Mark Rothermel, Marcus Rohrbach, Anna Rohrbach |
| 2025 | Not all solutions are created equal: An analytical dissociation of functional and representational similarity in deep linear neural networks. | Lukas Braun, Erin Grant, Andrew M. Saxe |
| 2025 | Mechanisms of Projective Composition of Diffusion Models. | Arwen Bradley, Preetum Nakkiran, David Berthelot, James Thornton, Joshua M. Susskind |
| 2025 | BARK: A Fully Bayesian Tree Kernel for Black-box Optimization. | Toby Boyne, Jose Pablo Folch, Robert M. Lee, Behrang Shafei, Ruth Misener |
| 2025 | AutoEval Done Right: Using Synthetic Data for Model Evaluation. | Pierre Boyeau, Anastasios Nikolas Angelopoulos, Tianle Li, Nir Yosef, Jitendra Malik, Michael I. Jordan |
| 2025 | Position: Don't Use the CLT in LLM Evals With Fewer Than a Few Hundred Datapoints. | Sam Bowyer, Laurence Aitchison, Desi R. Ivanova |
| 2025 | Point Cloud Dataset Distillation. | Deyu Bo, Xinchao Wang |
| 2025 | Simplicity Bias and Optimization Threshold in Two-Layer ReLU Networks. | Etienne Boursier, Nicolas Flammarion |
| 2025 | Robust ML Auditing using Prior Knowledge. | Jade Garcia Bourre, Augustin Godinot, Sayan Biswas, Anne-Marie Kermarrec, Erwan Le Merrer, Gilles Trdan, Martijn de Vos, Milos Vujasinovic |
| 2025 | Learning to Match Unpaired Data with Minimum Entropy Coupling. | Mustapha Bounoua, Giulio Franzese, Pietro Michiardi |
| 2025 | Smoothing Continual Segmentation Oscillations with Latent Domain PPCA Decoder. | Marie-Ange Boum, Pierre Fournier, Dawa Derksen, Stphane Herbin |
| 2025 | Quantifying Treatment Effects: Estimating Risk Ratios via Observational Studies. | Ahmed Boughdiri, Julie Josse, Erwan Scornet |
| 2025 | On the Query Complexity of Verifier-Assisted Language Generation. | Edoardo Botta, Yuchen Li, Aashay Mehta, Jordan T. Ash, Cyril Zhang, Andrej Risteski |
| 2025 | Distributional Diffusion Models with Scoring Rules. | Valentin De Bortoli, Alexandre Galashov, J. Swaroop Guntupalli, Guangyao Zhou, Kevin Patrick Murphy, Arthur Gretton, Arnaud Doucet |
| 2025 | Accelerated Diffusion Models via Speculative Sampling. | Valentin De Bortoli, Alexandre Galashov, Arthur Gretton, Arnaud Doucet |
| 2025 | Reinforcement Learning with Random Time Horizons. | Enric Ribera Borrell, Lorenz Richter, Christof Schtte |
| 2025 | Not All Wrong is Bad: Using Adversarial Examples for Unlearning. | Ali Ebrahimpour Boroojeny, Hari Sundaram, Varun Chandrasekaran |
| 2025 | On Linear Convergence in Smooth Convex-Concave Bilinearly-Coupled Saddle-Point Optimization: Lower Bounds and Optimal Algorithms. | Ekaterina Borodich, Alexander V. Gasnikov, Dmitry Kovalev |
| 2025 | An Interpretable N-gram Perplexity Threat Model for Large Language Model Jailbreaks. | Valentyn Boreiko, Alexander Panfilov, Vclav Vorcek, Matthias Hein, Jonas Geiping |
| 2025 | How Much Can We Forget about Data Contamination? | Sebastian Bordt, Suraj Srinivas, Valentyn Boreiko, Ulrike von Luxburg |
| 2025 | Position: Rethinking Explainable Machine Learning as Applied Statistics. | Sebastian Bordt, Eric Raidl, Ulrike von Luxburg |
2,826–2,850 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)