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 | Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics. | Shiwei Li, Xiandi Luo, Xing Tang, Haozhao Wang, Hao Chen, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li |
| 2025 | Discrepancy Minimization in Input-Sparsity Time. | Yichuan Deng, Xiaoyu Li, Zhao Song, Omri Weinstein |
| 2025 | TextCenGen: Attention-Guided Text-Centric Background Adaptation for Text-to-Image Generation. | Tianyi Liang, Jiangqi Liu, Yifei Huang, Shiqi Jiang, Jianshen Shi, Changbo Wang, Chenhui Li |
| 2025 | The Empirical Mean is Minimax Optimal for Local Glivenko-Cantelli. | Doron Cohen, Aryeh Kontorovich, Roi Weiss |
| 2025 | Position: Uncertainty Quantification Needs Reassessment for Large Language Model Agents. | Michael Kirchhof, Gjergji Kasneci, Enkelejda Kasneci |
| 2025 | Prediction-Powered Adaptive Shrinkage Estimation. | Sida Li, Nikolaos Ignatiadis |
| 2025 | MTSTRec: Multimodal Time-Aligned Shared Token Recommender. | Ming-Yi Hong, Yen-Jung Hsu, Miao-Chen Chiang, Che Lin |
| 2025 | BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing. | Dongliang Guo, Mengxuan Hu, Zihan Guan, Thomas Hartvigsen, Sheng Li |
| 2025 | GRAM: A Generative Foundation Reward Model for Reward Generalization. | Chenglong Wang, Yang Gan, Yifu Huo, Yongyu Mu, Qiaozhi He, Murun Yang, Bei Li, Tong Xiao, Chunliang Zhang, Tongran Liu, JingBo Zhu |
| 2025 | Towards Understanding Parametric Generalized Category Discovery on Graphs. | Bowen Deng, Lele Fu, Jialong Chen, Sheng Huang, Tianchi Liao, Zhang Tao, Chuan Chen |
| 2025 | GenZSL: Generative Zero-Shot Learning Via Inductive Variational Autoencoder. | Shiming Chen, Dingjie Fu, Salman Khan, Fahad Shahbaz Khan |
| 2025 | Offline Learning for Combinatorial Multi-armed Bandits. | Xutong Liu, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C. S. Lui, Wei Chen |
| 2025 | Arrow: Accelerator for Time Series Causal Discovery with Time Weaving. | Yuanyuan Yao, Yuan Dong, Lu Chen, Kun Kuang, Ziquan Fang, Cheng Long, Yunjun Gao, Tianyi Li |
| 2025 | Disentangled Graph Spectral Domain Adaptation. | Liang Yang, Xin Chen, Jiaming Zhuo, Di Jin, Chuan Wang, Xiaochun Cao, Zhen Wang, Yuanfang Guo |
| 2025 | When Bad Data Leads to Good Models. | Kenneth Li, Yida Chen, Fernanda B. Vigas, Martin Wattenberg |
| 2025 | Reflection-Window Decoding: Text Generation with Selective Refinement. | Zeyu Tang, Zhenhao Chen, Xiangchen Song, Loka Li, Yunlong Deng, Yifan Shen, Guangyi Chen, Peter Spirtes, Kun Zhang |
| 2025 | Primitive Vision: Improving Diagram Understanding in MLLMs. | Shan Zhang, Aotian Chen, Yanpeng Sun, Jindong Gu, Yi-Yu Zheng, Piotr Koniusz, Kai Zou, Anton van den Hengel, Yuan Xue |
| 2025 | In-Context Adaptation to Concept Drift for Learned Database Operations. | Jiaqi Zhu, Shaofeng Cai, Yanyan Shen, Gang Chen, Fang Deng, Beng Chin Ooi |
| 2025 | Teaching Language Models to Critique via Reinforcement Learning. | Zhihui Xie, Jie Chen, Liyu Chen, Weichao Mao, Jingjing Xu, Lingpeng Kong |
| 2025 | Modalities Contribute Unequally: Enhancing Medical Multi-modal Learning through Adaptive Modality Token Re-balancing. | Jie Peng, Jenna L. Ballard, Mohan Zhang, Sukwon Yun, Jiayi Xin, Qi Long, Yanyong Zhang, Tianlong Chen |
| 2025 | Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging. | Shiqi Chen, Jinghan Zhang, Tongyao Zhu, Wei Liu, Siyang Gao, Miao Xiong, Manling Li, Junxian He |
| 2025 | "Why Is There a Tumor?": Tell Me the Reason, Show Me the Evidence. | Mengmeng Ma, Tang Li, Yunxiang Peng, Lu Lin, Volkan Beylergil, Binsheng Zhao, Oguz Akin, Xi Peng |
| 2025 | Rnyi Neural Processes. | Xuesong Wang, He Zhao, Edwin V. Bonilla |
| 2025 | IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models. | Hang Guo, Yawei Li, Tao Dai, Shu-Tao Xia, Luca Benini |
| 2025 | MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning. | Zihan Chen, Song Wang, Zhen Tan, Jundong Li, Cong Shen |
3,226–3,250 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)