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 | Sassha: Sharpness-aware Adaptive Second-order Optimization with Stable Hessian Approximation. | Dahun Shin, Dongyeop Lee, Jinseok Chung, Namhoon Lee |
| 2025 | Online Pre-Training for Offline-to-Online Reinforcement Learning. | Yongjae Shin, Jeonghye Kim, Whiyoung Jung, Sunghoon Hong, Deunsol Yoon, Youngsoo Jang, Geon-Hyeong Kim, Jongseong Chae, Youngchul Sung, Kanghoon Lee, Woohyung Lim |
| 2025 | Minimum Width for Universal Approximation using Squashable Activation Functions. | Jonghyun Shin, Namjun Kim, Geonho Hwang, Sejun Park |
| 2025 | Overcoming Vocabulary Mismatch: Vocabulary-agnostic Teacher Guided Language Modeling. | Haebin Shin, Lei Ji, Xiao Liu, Yeyun Gong |
| 2025 | LightningDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos. | Yujun Shi, Jun Hao Liew, Hanshu Yan, Vincent Y. F. Tan, Jiashi Feng |
| 2025 | Targeted control of fast prototyping through domain-specific interface. | Yu-Zhe Shi, Mingchen Liu, Hanlu Ma, Qiao Xu, Huamin Qu, Kun He, Lecheng Ruan, Qining Wang |
| 2025 | Neighbour-Driven Gaussian Process Variational Autoencoders for Scalable Structured Latent Modelling. | Xinxing Shi, Xiaoyu Jiang, Mauricio A. lvarez |
| 2025 | Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models. | Lucy Xiaoyang Shi, Brian Ichter, Michael Robert Equi, Liyiming Ke, Karl Pertsch, Quan Vuong, James Tanner, Anna Walling, Haohuan Wang, Niccolo Fusai, Adrian Li-Bell, Danny Driess, Lachy Groom, Sergey Levine, Chelsea Finn |
| 2025 | Breaking the Curse of Multiagency in Robust Multi-Agent Reinforcement Learning. | Laixi Shi, Jingchu Gai, Eric Mazumdar, Yuejie Chi, Adam Wierman |
| 2025 | LaCache: Ladder-Shaped KV Caching for Efficient Long-Context Modeling of Large Language Models. | Dachuan Shi, Yonggan Fu, Xiangchi Yuan, Zhongzhi Yu, Haoran You, Sixu Li, Xin Dong, Jan Kautz, Pavlo Molchanov, Yingyan Celine Lin |
| 2025 | Inductive Gradient Adjustment for Spectral Bias in Implicit Neural Representations. | Kexuan Shi, Hai Chen, Leheng Zhang, Shuhang Gu |
| 2025 | Beyond Task-Specific Reasoning: A Unified Conditional Generative Framework for Abstract Visual Reasoning. | Fan Shi, Bin Li, Xiangyang Xue |
| 2025 | Convergence of Policy Mirror Descent Beyond Compatible Function Approximation. | Uri Sherman, Tomer Koren, Yishay Mansour |
| 2025 | Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search. | Maohao Shen, Guangtao Zeng, Zhenting Qi, Zhang-Wei Hong, Zhenfang Chen, Wei Lu, Gregory W. Wornell, Subhro Das, David Daniel Cox, Chuang Gan |
| 2025 | Zero-Shot Generalization of GNNs over Distinct Attribute Domains. | Yangyi Shen, Jincheng Zhou, Beatrice Bevilacqua, Joshua Robinson, Charilaos I. Kanatsoulis, Jure Leskovec, Bruno Ribeiro |
| 2025 | On the Training Convergence of Transformers for In-Context Classification of Gaussian Mixtures. | Wei Shen, Ruida Zhou, Jing Yang, Cong Shen |
| 2025 | ADHMR: Aligning Diffusion-based Human Mesh Recovery via Direct Preference Optimization. | Wenhao Shen, Wanqi Yin, Xiaofeng Yang, Cheng Chen, Chaoyue Song, Zhongang Cai, Lei Yang, Hao Wang, Guosheng Lin |
| 2025 | Drug-TTA: Test-Time Adaptation for Drug Virtual Screening via Multi-task Meta-Auxiliary Learning. | Ao Shen, Mingzhi Yuan, Yingfan Ma, Jie Du, Qiao Huang, Manning Wang |
| 2025 | Privacy-Shielded Image Compression: Defending Against Exploitation from Vision-Language Pretrained Models. | Xuelin Shen, Jiayin Xu, Kangsheng Yin, Wenhan Yang |
| 2025 | LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding. | Xiaoqian Shen, Yunyang Xiong, Changsheng Zhao, Lemeng Wu, Jun Chen, Chenchen Zhu, Zechun Liu, Fanyi Xiao, Balakrishnan Varadarajan, Florian Bordes, Zhuang Liu, Hu Xu, Hyunwoo J. Kim, Bilge Soran, Raghuraman Krishnamoorthi, Mohamed Elhoseiny, Vikas Chandra |
| 2025 | Algorithms with Calibrated Machine Learning Predictions. | Judy Hanwen Shen, Ellen Vitercik, Anders Wikum |
| 2025 | Compositional Flows for 3D Molecule and Synthesis Pathway Co-design. | Tony Shen, Seonghwan Seo, Ross Irwin, Kieran Didi, Simon Olsson, Woo Youn Kim, Martin Ester |
| 2025 | Counting atoms faster: policy-based nuclear magnetic resonance pulse sequencing for atomic abundance measurement. | Rohan Shenoy, Evan Austen Coleman, Hans Gaensbauer, Elsa Olivetti |
| 2025 | Learning Survival Distributions with the Asymmetric Laplace Distribution. | Deming Sheng, Ricardo Henao |
| 2025 | PEINR: A Physics-enhanced Implicit Neural Representation for High-Fidelity Flow Field Reconstruction. | Liming Shen, Liang Deng, Chongke Bi, Yu Wang, Xinhai Chen, Yueqing Wang, Jie Liu |
951–975 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)