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 | Grokking Beyond the Euclidean Norm of Model Parameters. | Pascal Tikeng Notsawo Jr., Guillaume Dumas, Guillaume Rabusseau |
| 2025 | Autoencoder-Based Hybrid Replay for Class-Incremental Learning. | Milad Khademi Nori, Il-Min Kim, Guanghui Wang |
| 2025 | Stochastic Encodings for Active Feature Acquisition. | Alexander Luke Ian Norcliffe, Changhee Lee, Fergus Imrie, Mihaela van der Schaar, Pietro Lio |
| 2025 | High-Dimensional Prediction for Sequential Decision Making. | Georgy Noarov, Ramya Ramalingam, Aaron Roth, Stephan Xie |
| 2025 | Stronger Neyman Regret Guarantees for Adaptive Experimental Design. | Georgy Noarov, Riccardo Fogliato, Martin Bertran Lopez, Aaron Roth |
| 2025 | RollingQ: Reviving the Cooperation Dynamics in Multimodal Transformer. | Haotian Ni, Yake Wei, Hang Liu, Gong Chen, Chong Peng, Hao Lin, Di Hu |
| 2025 | LangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy Optimization. | Wenzhe Niu, Zongxia Xie, Yanru Sun, Wei He, Man Xu, Chao Hao |
| 2025 | Pre-training Auto-regressive Robotic Models with 4D Representations. | Dantong Niu, Yuvan Sharma, Haoru Xue, Giscard Biamby, Junyi Zhang, Ziteng Ji, Trevor Darrell, Roei Herzig |
| 2025 | Self-Bootstrapping for Versatile Test-Time Adaptation. | Shuaicheng Niu, Guohao Chen, Peilin Zhao, Tianyi Wang, Pengcheng Wu, Zhiqi Shen |
| 2025 | Fundamental Bias in Inverting Random Sampling Matrices with Application to Sub-sampled Newton. | Chengmei Niu, Zhenyu Liao, Zenan Ling, Michael W. Mahoney |
| 2025 | Test-Time Multimodal Backdoor Detection by Contrastive Prompting. | Yuwei Niu, Shuo He, Qi Wei, Zongyu Wu, Feng Liu, Lei Feng |
| 2025 | Propagation of Chaos for Mean-Field Langevin Dynamics and its Application to Model Ensemble. | Atsushi Nitanda, Anzelle Lee, Damian Tan Xing Kai, Mizuki Sakaguchi, Taiji Suzuki |
| 2025 | Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing. | Kento Nishi, Rahul Ramesh, Maya Okawa, Mikail Khona, Hidenori Tanaka, Ekdeep Singh Lubana |
| 2025 | Nonlinear transformers can perform inference-time feature learning. | Naoki Nishikawa, Yujin Song, Kazusato Oko, Denny Wu, Taiji Suzuki |
| 2025 | Graph4MM: Weaving Multimodal Learning with Structural Information. | Xuying Ning, Dongqi Fu, Tianxin Wei, Wujiang Xu, Jingrui He |
| 2025 | DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space. | Mang Ning, Mingxiao Li, Jianlin Su, Haozhe Jia, Lanmiao Liu, Martin Benes, Wenshuo Chen, Albert Ali Salah, Itir nal Ertugrul |
| 2025 | Latent Action Learning Requires Supervision in the Presence of Distractors. | Alexander Nikulin, Ilya Zisman, Denis Tarasov, Nikita Lyubaykin, Andrei Polubarov, Igor Kiselev, Vladislav Kurenkov |
| 2025 | The Jailbreak Tax: How Useful are Your Jailbreak Outputs? | Kristina Nikolic, Luze Sun, Jie Zhang, Florian Tramr |
| 2025 | FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees. | Fan Nie, Xiaotian Hou, Shuhang Lin, James Zou, Huaxiu Yao, Linjun Zhang |
| 2025 | Towards a Mechanistic Explanation of Diffusion Model Generalization. | Matthew Niedoba, Berend Zwartsenberg, Kevin Patrick Murphy, Frank Wood |
| 2025 | EVOLvE: Evaluating and Optimizing LLMs For In-Context Exploration. | Allen Nie, Yi Su, Bo Chang, Jonathan Lee, Ed H. Chi, Quoc V. Le, Minmin Chen |
| 2025 | Faster Global Minimum Cut with Predictions. | Helia Niaparast, Benjamin Moseley, Karan Singh |
| 2025 | Time-Aware World Model for Adaptive Prediction and Control. | Anh N. Nhu, Sanghyun Son, Ming Lin |
| 2025 | Theoretically Unmasking Inference Attacks Against LDP-Protected Clients in Federated Vision Models. | Quan Minh Nguyen, Minh N. Vu, Truc Nguyen, My T. Thai |
| 2025 | Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning. | Le-Trung Nguyen, Al Qulennec, Van-Tam Nguyen, Enzo Tartaglione |
1,276–1,300 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)