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 | Heterogeneous Treatment Effect in Time-to-Event Outcomes: Harnessing Censored Data with Recursively Imputed Trees. | Tomer Meir, Uri Shalit, Malka Gorfine |
| 2025 | Position: Machine Learning Models Have a Supply Chain Problem. | Sarah Meiklejohn, Hayden Blauzvern, Mihai Maruseac, Spencer Schrock, Laurent Simon, Ilia Shumailov |
| 2025 | A Generalization Theory for Zero-Shot Prediction. | Ronak Mehta, Zad Harchaoui |
| 2025 | Automatic Differentiation of Optimization Algorithms with Time-Varying Updates. | Sheheryar Mehmood, Peter Ochs |
| 2025 | The Canary's Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text. | Matthieu Meeus, Lukas Wutschitz, Santiago Zanella-Bguelin, Shruti Tople, Reza Shokri |
| 2025 | Weak-to-Strong Generalization Even in Random Feature Networks, Provably. | Marko Medvedev, Kaifeng Lyu, Dingli Yu, Sanjeev Arora, Zhiyuan Li, Nathan Srebro |
| 2025 | Return Capping: Sample Efficient CVaR Policy Gradient Optimisation. | Harry Mead, Clarissa Costen, Bruno Lacerda, Nick Hawes |
| 2025 | LOCATE 3D: Real-World Object Localization via Self-Supervised Learning in 3D. | Paul McVay, Sergio Arnaud, Ada Martin, Arjun Majumdar, Krishna Murthy Jatavallabhula, Phillip Thomas, Ruslan Partsey, Daniel Dugas, Abha Gejji, Alexander Sax, Vincent-Pierre Berges, Mikael Henaff, Ayush Jain, Ang Cao, Ishita Prasad, Mrinal Kalakrishnan, Michael Rabbat, Nicolas Ballas, Mido Assran, Oleksandr Maksymets, Aravind Rajeswaran |
| 2025 | Leveraging Predictive Equivalence in Decision Trees. | Hayden McTavish, Zachery Boner, Jon Donnelly, Margo I. Seltzer, Cynthia Rudin |
| 2025 | Anytime-Constrained Equilibria in Polynomial Time. | Jeremy McMahan |
| 2025 | Polynomial-Time Approximability of Constrained Reinforcement Learning. | Jeremy McMahan |
| 2025 | Scaling Laws for Differentially Private Language Models. | Ryan McKenna, Yangsibo Huang, Amer Sinha, Borja Balle, Zachary Charles, Christopher A. Choquette-Choo, Badih Ghazi, Georgios Kaissis, Ravi Kumar, Ruibo Liu, Da Yu, Chiyuan Zhang |
| 2025 | Near-optimal Sketchy Natural Gradients for Physics-Informed Neural Networks. | Maricela Best McKay, Avleen Kaur, Chen Greif, Brian Wetton |
| 2025 | Efficient Multi-modal Long Context Learning for Training-free Adaptation. | Zehong Ma, Shiliang Zhang, Longhui Wei, Qi Tian |
| 2025 | Exact Recovery of Sparse Binary Vectors from Generalized Linear Measurements. | Arya Mazumdar, Neha Sangwan |
| 2025 | Behavior-agnostic Task Inference for Robust Offline In-context Reinforcement Learning. | Long Ma, Fangwei Zhong, Yizhou Wang |
| 2025 | The Impact of On-Policy Parallelized Data Collection on Deep Reinforcement Learning Networks. | Walter Mayor, Johan S. Obando-Ceron, Aaron C. Courville, Pablo Samuel Castro |
| 2025 | LLMs on the Line: Data Determines Loss-to-Loss Scaling Laws. | Prasanna Mayilvahanan, Thaddus Wiedemer, Sayak Mallick, Matthias Bethge, Wieland Brendel |
| 2025 | Robust Spatio-Temporal Centralized Interaction for OOD Learning. | Jiaming Ma, Binwu Wang, Pengkun Wang, Zhengyang Zhou, Xu Wang, Yang Wang |
| 2025 | A Closer Look at Generalized BH Algorithm for Out-of-Distribution Detection. | Xinsong Ma, Jie Wu, Weiwei Liu |
| 2025 | AuPair: Golden Example Pairs for Code Repair. | Aditi Mavalankar, Hassan Mansoor, Zita Marinho, Mariia Samsikova, Tom Schaul |
| 2025 | Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization. | Luca Masserano, Abdul Fatir Ansari, Boran Han, Xiyuan Zhang, Christos Faloutsos, Michael W. Mahoney, Andrew Gordon Wilson, Youngsuk Park, Syama Sundar Rangapuram, Danielle C. Maddix, Bernie Wang |
| 2025 | Efficient Robust Conformal Prediction via Lipschitz-Bounded Networks. | Thomas Massena, Lo Andol, Thibaut Boissin, Franck Mamalet, Corentin Friedrich, Mathieu Serrurier, Sbastien Gerchinovitz |
| 2025 | Provable Length Generalization in Sequence Prediction via Spectral Filtering. | Annie Marsden, Evan Dogariu, Naman Agarwal, Xinyi Chen, Daniel Suo, Elad Hazan |
| 2025 | No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces. | Daniel Marczak, Simone Magistri, Sebastian Cygert, Bartlomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer |
1,401–1,425 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)