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 | Maximum Coverage in Turnstile Streams with Applications to Fingerprinting Measures. | Alina Ene, Alessandro Epasto, Vahab Mirrokni, Hoai-An Nguyen, Huy L. Nguyen, David P. Woodruff, Peilin Zhong |
| 2025 | Observation Interference in Partially Observable Assistance Games. | Scott Emmons, Caspar Oesterheld, Vincent Conitzer, Stuart Russell |
| 2025 | In-Context Learning and Occam's Razor. | Eric Elmoznino, Tom Marty, Tejas Kasetty, Lo Gagnon, Sarthak Mittal, Mahan Fathi, Dhanya Sridhar, Guillaume Lajoie |
| 2025 | Towards a Formal Theory of Representational Compositionality. | Eric Elmoznino, Thomas Jiralerspong, Yoshua Bengio, Guillaume Lajoie |
| 2025 | Graph Adaptive Autoregressive Moving Average Models. | Moshe Eliasof, Alessio Gravina, Andrea Ceni, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schnlieb |
| 2025 | any4: Learned 4-bit Numeric Representation for LLMs. | Mostafa Elhoushi, Jeff Johnson |
| 2025 | Learn to Vaccinate: Combining Structure Learning and Effective Vaccination for Epidemic and Outbreak Control. | Sepehr Elahi, Paula Mrmann, Patrick Thiran |
| 2025 | Enhancing Parallelism in Decentralized Stochastic Convex Optimization. | Ofri Eisen, Ron Dorfman, Kfir Yehuda Levy |
| 2025 | A Market for Accuracy: Classification Under Competition. | Ohad Einav, Nir Rosenfeld |
| 2025 | Controlled Generation with Equivariant Variational Flow Matching. | Floor Eijkelboom, Heiko Zimmermann, Sharvaree Vadgama, Erik J. Bekkers, Max Welling, Christian A. Naesseth, Jan-Willem van de Meent |
| 2025 | Mind the Gap: A Practical Attack on GGUF Quantization. | Kazuki Egashira, Robin Staab, Mark Vero, Jingxuan He, Martin T. Vechev |
| 2025 | On the Importance of Gaussianizing Representations. | Daniel Eftekhari, Vardan Papyan |
| 2025 | Aligned Multi Objective Optimization. | Yonathan Efroni, Ben Kretzu, Daniel Jiang, Jalaj Bhandari, Zheqing Zhu, Karen Ullrich |
| 2025 | MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active Learning. | Peter Eckmann, Dongxia Wu, Germano Heinzelmann, Michael K. Gilson, Rose Yu |
| 2025 | Position: We Need An Algorithmic Understanding of Generative AI. | Oliver Eberle, Thomas McGee, Hamza Giaffar, Taylor Whittington Webb, Ida Momennejad |
| 2025 | Partially Observable Reinforcement Learning with Memory Traces. | Onno Eberhard, Michael Muehlebach, Claire Vernade |
| 2025 | Intersectional Fairness in Reinforcement Learning with Large State and Constraint Spaces. | Eric Eaton, Marcel Hussing, Michael Kearns, Aaron Roth, Sikata Bela Sengupta, Jessica Sorrell |
| 2025 | Retrieval Augmented Zero-Shot Enzyme Generation for Specified Substrate. | Jiahe Du, Kaixiong Zhou, Xinyu Hong, Zhaozhuo Xu, Jinbo Xu, Xiao Huang |
| 2025 | Latent Imputation before Prediction: A New Computational Paradigm for De Novo Peptide Sequencing. | Ye Du, Chen Yang, Nanxi Yu, Wanyu Lin, Qian Zhao, Shujun Wang |
| 2025 | Reinforcement Learning with Segment Feedback. | Yihan Du, Anna Winnicki, Gal Dalal, Shie Mannor, R. Srikant |
| 2025 | LASER: Attention with Exponential Transformation. | Sai Surya Duvvuri, Inderjit S. Dhillon |
| 2025 | SPHINX: Structural Prediction using Hypergraph Inference Network. | Iulia Duta, Pietro Lio |
| 2025 | IT3: Idempotent Test-Time Training. | Nikita Durasov, Assaf Shocher, Doruk ner, Gal Chechik, Alexei A. Efros, Pascal Fua |
| 2025 | Weakly Supervised Anomaly Detection via Dual-Tailed Kernel. | Walid Durani, Tobias Nitzl, Claudia Plant, Christian Bhm |
| 2025 | Telling Peer Direct Effects from Indirect Effects in Observational Network Data. | Xiaojing Du, Jiuyong Li, Debo Cheng, Lin Liu, Wentao Gao, Xiongren Chen, Ziqi Xu |
2,476–2,500 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)