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 | Self-Discriminative Modeling for Anomalous Graph Detection. | Jinyu Cai, Yunhe Zhang, Jicong Fan |
| 2025 | Learning curves theory for hierarchically compositional data with power-law distributed features. | Francesco Cagnetta, Hyunmo Kang, Matthieu Wyart |
| 2025 | Symmetric Reinforcement Learning Loss for Robust Learning on Diverse Tasks and Model Scales. | Ju-Seung Byun, Andrew Perrault |
| 2025 | On Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive Randomization. | Undral Byambadalai, Tomu Hirata, Tatsushi Oka, Shota Yasui |
| 2025 | ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation. | Tianci Bu, Le Zhou, Wenchuan Yang, Jianhong Mou, Kang Yang, Suoyi Tan, Feng Yao, Jingyuan Wang, Xin Lu |
| 2025 | NEAR: Neural Electromagnetic Array Response. | Yinyan Bu, Jiajie Yu, Kai Zheng, Xinyu Zhang, Piya Pal |
| 2025 | What Limits Virtual Agent Application? OmniBench: A Scalable Multi-Dimensional Benchmark for Essential Virtual Agent Capabilities. | Wendong Bu, Yang Wu, Qifan Yu, Minghe Gao, Bingchen Miao, Zhenkui Zhang, Kaihang Pan, Liyunfei, Mengze Li, Wei Ji, Juncheng Li, Siliang Tang, Yueting Zhuang |
| 2025 | Deploying Geospatial Foundation Models in the Real World: Lessons from WorldCereal. | Christina Butsko, Gabriel Tseng, Kristof Van Tricht, Giorgia Milli, David Rolnick, Ruben Cartuyvels, Inbal Becker-Reshef, Zoltan Szantoi, Hannah Kerner |
| 2025 | Learning Multi-Level Features with Matryoshka Sparse Autoencoders. | Bart Bussmann, Noa Nabeshima, Adam Karvonen, Neel Nanda |
| 2025 | Testing the Limits of Fine-Tuning for Improving Visual Cognition in Vision Language Models. | Luca M. Schulze Buschoff, Konstantinos Voudouris, Elif Akata, Matthias Bethge, Joshua B. Tenenbaum, Eric Schulz |
| 2025 | Where is the Truth? The Risk of Getting Confounded in a Continual World. | Florian Peter Busch, Roshni Ramanna Kamath, Rupert Mitchell, Wolfgang Stammer, Kristian Kersting, Martin Mundt |
| 2025 | Distillation Scaling Laws. | Dan Busbridge, Amitis Shidani, Floris Weers, Jason Ramapuram, Etai Littwin, Russell Webb |
| 2025 | Nearly Optimal Sample Complexity for Learning with Label Proportions. | Rbert Istvan Busa-Fekete, Travis Dick, Claudio Gentile, Haim Kaplan, Tomer Koren, Uri Stemmer |
| 2025 | Distributed Differentially Private Data Analytics via Secure Sketching. | Jakob Burkhardt, Hannah Keller, Claudio Orlandi, Chris Schwiegelshohn |
| 2025 | Accurate and Efficient World Modeling with Masked Latent Transformers. | Maxime Burchi, Radu Timofte |
| 2025 | Deep Reinforcement Learning from Hierarchical Preference Design. | Alexander Bukharin, Yixiao Li, Pengcheng He, Tuo Zhao |
| 2025 | O-MAPL: Offline Multi-agent Preference Learning. | The Viet Bui, Tien Mai, Thanh Hong Nguyen |
| 2025 | Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning. | Ngoc Bui, Menglin Yang, Runjin Chen, Leonardo Neves, Mingxuan Ju, Rex Ying, Neil Shah, Tong Zhao |
| 2025 | Competitively Consistent Clustering. | Niv Buchbinder, Roie Levin, Yue Yang |
| 2025 | Provable In-Context Vector Arithmetic via Retrieving Task Concepts. | Dake Bu, Wei Huang, Andi Han, Atsushi Nitanda, Qingfu Zhang, Hau-San Wong, Taiji Suzuki |
| 2025 | Ergodic Generative Flows. | Leo Maxime Brunswic, Mateo Clmente, Rui Heng Yang, Adam Sigal, Amir Rasouli, Yinchuan Li |
| 2025 | Generating Hypotheses of Dynamic Causal Graphs in Neuroscience: Leveraging Generative Factor Models of Observed Time Series. | Zachary C. Brown, David Carlson |
| 2025 | Robust Noise Attenuation via Adaptive Pooling of Transformer Outputs. | Greyson Brothers |
| 2025 | The Limits of Tractable Marginalization. | Oliver Broadrick, Sanyam Agarwal, Guy Van den Broeck, Markus Blser |
| 2025 | Cross-regularization: Adaptive Model Complexity through Validation Gradients. | Carlos Stein Brito |
2,801–2,825 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)