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 | Advancing Constrained Monotonic Neural Networks: Achieving Universal Approximation Beyond Bounded Activations. | Davide Sartor, Alberto Sinigaglia, Gian Antonio Susto |
| 2025 | The underlying structures of self-attention: symmetry, directionality, and emergent dynamics in Transformer training. | Matteo Saponati, Pascal Sager, Pau Vilimelis Aceituno, Thilo Stadelmann, Benjamin F. Grewe |
| 2025 | Upweighting Easy Samples in Fine-Tuning Mitigates Forgetting. | Sunny Sanyal, Hayden Prairie, Rudrajit Das, Ali Kavis, Sujay Sanghavi |
| 2025 | Position: When Incentives Backfire, Data Stops Being Human. | Sebastin Santy, Prasanta Bhattacharya, Manoel Horta Ribeiro, Kelsey R. Allen, Sewoong Oh |
| 2025 | The Number of Trials Matters in Infinite-Horizon General-Utility Markov Decision Processes. | Pedro P. Santos, Alberto Sardinha, Francisco S. Melo |
| 2025 | ∞-Video: A Training-Free Approach to Long Video Understanding via Continuous-Time Memory Consolidation. | Saul Jos Rodrigues dos Santos, Antnio Farinhas, Daniel C. McNamee, Andr F. T. Martins |
| 2025 | Provable Maximum Entropy Manifold Exploration via Diffusion Models. | Riccardo De Santi, Marin Vlastelica, Ya-Ping Hsieh, Zebang Shen, Niao He, Andreas Krause |
| 2025 | Collapse-Proof Non-Contrastive Self-Supervised Learning. | Emanuele Sansone, Tim Lebailly, Tinne Tuytelaars |
| 2025 | Recommendations with Sparse Comparison Data: Provably Fast Convergence for Nonconvex Matrix Factorization. | Suryanarayana Sankagiri, Jalal Etesami, Matthias Grossglauser |
| 2025 | Joint Learning of Energy-based Models and their Partition Function. | Michael Eli Sander, Vincent Roulet, Tianlin Liu, Mathieu Blondel |
| 2025 | SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models. | Cansu Sancaktar, Christian Gumbsch, Andrii Zadaianchuk, Pavel Kolev, Georg Martius |
| 2025 | Tuning LLM Judge Design Decisions for 1/1000 of the Cost. | David Salinas, Omar Swelam, Frank Hutter |
| 2025 | Benign Overfitting in Token Selection of Attention Mechanism. | Keitaro Sakamoto, Issei Sato |
| 2025 | LGDM: Latent Guidance in Diffusion Models for Perceptual Evaluations. | Shreshth Saini, Ru-Ling Liao, Yan Ye, Alan Bovik |
| 2025 | The Diffusion Duality. | Subham Sekhar Sahoo, Justin Deschenaux, Aaron Gokaslan, Guanghan Wang, Justin T. Chiu, Volodymyr Kuleshov |
| 2025 | Dueling Convex Optimization with General Preferences. | Aadirupa Saha, Tomer Koren, Yishay Mansour |
| 2025 | Learning to Plan & Reason for Evaluation with Thinking-LLM-as-a-Judge. | Swarnadeep Saha, Xian Li, Marjan Ghazvininejad, Jason E. Weston, Tianlu Wang |
| 2025 | Resampling Augmentation for Time Series Contrastive Learning: Application to Remote Sensing. | Antoine Saget, Baptiste Lafabregue, Antoine Cornujols, Pierre Ganarski |
| 2025 | Adversarial Reasoning at Jailbreaking Time. | Mahdi Sabbaghi, Paul Kassianik, George J. Pappas, Amin Karbasi, Hamed Hassani |
| 2025 | Disparate Conditional Prediction in Multiclass Classifiers. | Sivan Sabato, Eran Treister, Elad Yom-Tov |
| 2025 | Mind the Gap: a Spectral Analysis of Rank Collapse and Signal Propagation in Attention Layers. | Thiziri Nait Saada, Alireza Naderi, Jared Tanner |
| 2025 | An Architecture Search Framework for Inference-Time Techniques. | Jon Saad-Falcon, Adrian Gamarra Lafuente, Shlok Natarajan, Nahum Maru, Hristo Todorov, Etash Kumar Guha, Estefany Kelly Buchanan, Mayee F. Chen, Neel Guha, Christopher R, Azalia Mirhoseini |
| 2025 | A Unified View on Learning Unnormalized Distributions via Noise-Contrastive Estimation. | Jongha Jon Ryu, Abhin Shah, Gregory W. Wornell |
| 2025 | Value-Based Deep RL Scales Predictably. | Oleh Rybkin, Michal Nauman, Preston Fu, Charlie Victor Snell, Pieter Abbeel, Sergey Levine, Aviral Kumar |
| 2025 | Generalized Interpolating Discrete Diffusion. | Dimitri von Rtte, Janis Fluri, Yuhui Ding, Antonio Orvieto, Bernhard Schlkopf, Thomas Hofmann |
1,026–1,050 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)