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 | ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks. | Saurabh Jha, Rohan R. Arora, Yuji Watanabe, Takumi Yanagawa, Yinfang Chen, Jackson Clark, Bhavya, Mudit Verma, Harshit Kumar, Hirokuni Kitahara, Noah Zheutlin, Saki Takano, Divya Pathak, Felix George, Xinbo Wu, Bekir O. Turkkan, Gerard Vanloo, Michael Nidd, Ting Dai, Oishik Chatterjee, Pranjal Gupta, Suranjana Samanta, Pooja Aggarwal, Rong Lee, Jae-wook Ahn, Debanjana Kar, Amit M. Paradkar, Yu Deng, Pratibha Moogi, Prateeti Mohapatra, Naoki Abe, Chandrasekhar Narayanaswami, Tianyin Xu, Lav R. Varshney, Ruchi Mahindru, Anca Sailer, Laura Shwartz, Daby Sow, Nicholas C. Fuller, Ruchir Puri |
| 2025 | Understanding and Mitigating Memorization in Generative Models via Sharpness of Probability Landscapes. | Dongjae Jeon, Dueun Kim, Albert No |
| 2025 | Reflect-then-Plan: Offline Model-Based Planning through a Doubly Bayesian Lens. | Jihwan Jeong, Xiaoyu Wang, Jingmin Wang, Scott Sanner, Pascal Poupart |
| 2025 | Enforcing Idempotency in Neural Networks. | Nikolaj Banke Jensen, Jamie Vicary |
| 2025 | Black-Box Adversarial Attacks on LLM-Based Code Completion. | Slobodan Jenko, Niels Mndler, Jingxuan He, Mark Vero, Martin T. Vechev |
| 2025 | Position: Not All Explanations for Deep Learning Phenomena Are Equally Valuable. | Alan Jeffares, Mihaela van der Schaar |
| 2025 | Score-of-Mixture Training: One-Step Generative Model Training Made Simple via Score Estimation of Mixture Distributions. | Tejas Jayashankar, Jongha Jon Ryu, Gregory W. Wornell |
| 2025 | The Brain's Bitter Lesson: Scaling Speech Decoding With Self-Supervised Learning. | Dulhan Jayalath, Gilad Landau, Brendan Shillingford, Mark W. Woolrich, Oiwi Parker Jones |
| 2025 | QT-DoG: Quantization-Aware Training for Domain Generalization. | Saqib Javed, Hieu Le, Mathieu Salzmann |
| 2025 | Improving the Variance of Differentially Private Randomized Experiments through Clustering. | Adel Javanmard, Vahab Mirrokni, Jean Pouget-Abadie |
| 2025 | BlockDialect: Block-wise Fine-grained Mixed Format Quantization for Energy-Efficient LLM Inference. | Wonsuk Jang, Thierry Tambe |
| 2025 | Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead. | Won-Jun Jang, Hyeon-Seo Park, Si-Hyeon Lee |
| 2025 | A Mixture-Based Framework for Guiding Diffusion Models. | Yazid Janati, Badr Moufad, Mehdi Abou El Qassime, Alain Oliviero Durmus, Eric Moulines, Jimmy Olsson |
| 2025 | Optimal Transfer Learning for Missing Not-at-Random Matrix Completion. | Akhil Jalan, Yassir Jedra, Arya Mazumdar, Soumendu Sundar Mukherjee, Purnamrita Sarkar |
| 2025 | Towards an Explainable Comparison and Alignment of Feature Embeddings. | Mohammad Jalali, Bahar Dibaei Nia, Farzan Farnia |
| 2025 | From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories, and Applications. | Ajay Kumar Jaiswal, Yifan Wang, Lu Yin, Shiwei Liu, Runjin Chen, Jiawei Zhao, Ananth Grama, Yuandong Tian, Zhangyang Wang |
| 2025 | Unifying 2D and 3D Vision-Language Understanding. | Ayush Jain, Alexander Swerdlow, Yuzhou Wang, Sergio Arnaud, Ada Martin, Alexander Sax, Franziska Meier, Katerina Fragkiadaki |
| 2025 | Multi-Turn Code Generation Through Single-Step Rewards. | Arnav Kumar Jain, Gonzalo Gonzalez-Pumariega, Wayne Chen, Alexander M. Rush, Wenting Zhao, Sanjiban Choudhury |
| 2025 | Mirror, Mirror of the Flow: How Does Regularization Shape Implicit Bias? | Tom Jacobs, Chao Zhou, Rebekka Burkholz |
| 2025 | Improved Regret Analysis in Gaussian Process Bandits: Optimality for Noiseless Reward, RKHS norm, and Non-Stationary Variance. | Shogo Iwazaki, Shion Takeno |
| 2025 | Learning to Generate Projections for Reducing Dimensionality of Heterogeneous Linear Programming Problems. | Tomoharu Iwata, Shinsaku Sakaue |
| 2025 | Improving Consistency Models with Generator-Augmented Flows. | Thibaut Issenhuth, Sangchul Lee, Ludovic Dos Santos, Jean-Yves Franceschi, Chansoo Kim, Alain Rakotomamonjy |
| 2025 | Safe-EF: Error Feedback for Non-smooth Constrained Optimization. | Rustem Islamov, Yarden As, Ilyas Fatkhullin |
| 2025 | Interchangeable Token Embeddings for Extendable Vocabulary and Alpha-Equivalence. | Ilker Isik, Ramazan Gokberk Cinbis, Ebru Aydin Gol |
| 2025 | Pareto-frontier Entropy Search with Variational Lower Bound Maximization. | Masanori Ishikura, Masayuki Karasuyama |
2,026–2,050 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)