International Conference on Learning Representations
ICLR
A*
CORE rank
CORE rank (raw)
A*
Acceptance rate
31.7% (2024)
Fields of research
Machine Learning
Papers indexed
11,991
2017–2025
Papers per year
20173,704 peak2025
Most published authors
ICLR papers
11,991 records sourced from DBLP. Search titles, filter by year, sort by recency.
| Year | Title | Authors |
|---|---|---|
| 2025 | CO-MOT: Boosting End-to-end Transformer-based Multi-Object Tracking via Coopetition Label Assignment and Shadow Sets. | Feng Yan, Weixin Luo, Yujie Zhong, Yiyang Gan, Lin Ma |
| 2025 | Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision. | Weicai Yan, Wang Lin, Zirun Guo, Ye Wang, Fangming Feng, Xiaoda Yang, Zehan Wang, Tao Jin |
| 2025 | A Sanity Check for AI-generated Image Detection. | Shilin Yan, Ouxiang Li, Jiayin Cai, Yanbin Hao, Xiaolong Jiang, Yao Hu, Weidi Xie |
| 2025 | Dynamic Multimodal Evaluation with Flexible Complexity by Vision-Language Bootstrapping. | Yue Yang, Shuibo Zhang, Kaipeng Zhang, Yi Bin, Yu Wang, Ping Luo, Wenqi Shao |
| 2025 | CARTS: Advancing Neural Theorem Proving with Diversified Tactic Calibration and Bias-Resistant Tree Search. | Xiao-Wen Yang, Zhi Zhou, Haiming Wang, Aoxue Li, Wen-Da Wei, Hui Jin, Zhenguo Li, Yu-Feng Li |
| 2025 | VideoGrain: Modulating Space-Time Attention for Multi-Grained Video Editing. | Xiangpeng Yang, Linchao Zhu, Hehe Fan, Yi Yang |
| 2025 | Kronecker Mask and Interpretive Prompts are Language-Action Video Learners. | Jingyi Yang, Zitong Yu, Xiuming Ni, Jia He, Hui Li |
| 2025 | Curriculum-aware Training for Discriminating Molecular Property Prediction Models. | Hansi Yang, Quanming Yao, James Kwok |
| 2025 | Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning. | Hanlin Yang, Jian Yao, Weiming Liu, Qing Wang, Hanmin Qin, Hansheng Kong, Kirk Tang, Jiechao Xiong, Chao Yu, Kai Li, Junliang Xing, Hongwu Chen, Juchao Zhuo, Qiang Fu, Yang Wei, Haobo Fu |
| 2025 | Private Mechanism Design via Quantile Estimation. | Yuanyuan Yang, Tao Xiao, Bhuvesh Kumar, Jamie H. Morgenstern |
| 2025 | Weighted-Reward Preference Optimization for Implicit Model Fusion. | Ziyi Yang, Fanqi Wan, Longguang Zhong, Tianyuan Shi, Xiaojun Quan |
| 2025 | Language Imbalance Driven Rewarding for Multilingual Self-improving. | Wen Yang, Junhong Wu, Chen Wang, Chengqing Zong, Jiajun Zhang |
| 2025 | GALA: Geometry-Aware Local Adaptive Grids for Detailed 3D Generation. | Dingdong Yang, Yizhi Wang, Konrad Schindler, Ali Mahdavi Amiri, Hao Zhang |
| 2025 | Learning Robust Representations with Long-Term Information for Generalization in Visual Reinforcement Learning. | Rui Yang, Jie Wang, Qijie Peng, Ruibo Guo, Guoping Wu, Bin Li |
| 2025 | Progressive Compression with Universally Quantized Diffusion Models. | Yibo Yang, Justus C. Will, Stephan Mandt |
| 2025 | Transformers Provably Learn Two-Mixture of Linear Classification via Gradient Flow. | Hongru Yang, Zhangyang Wang, Jason D. Lee, Yingbin Liang |
| 2025 | Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset. | Yiqin Yang, Quanwei Wang, Chenghao Li, Hao Hu, Chengjie Wu, Yuhua Jiang, Dianyu Zhong, Ziyou Zhang, Qianchuan Zhao, Chongjie Zhang, Bo Xu |
| 2025 | From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks. | Jie Yang, Yuwen Wang, Kaixuan Chen, Tongya Zheng, Yihe Zhou, Zhenbang Xiao, Ji Cao, Mingli Song, Shunyu Liu |
| 2025 | Kolmogorov-Arnold Transformer. | Xingyi Yang, Xinchao Wang |
| 2025 | RTDiff: Reverse Trajectory Synthesis via Diffusion for Offline Reinforcement Learning. | Qianlan Yang, Yu-Xiong Wang |
| 2025 | Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace. | Jinluan Yang, Anke Tang, Didi Zhu, Zhengyu Chen, Li Shen, Fei Wu |
| 2025 | CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer. | Zhuoyi Yang, Jiayan Teng, Wendi Zheng, Ming Ding, Shiyu Huang, Jiazheng Xu, Yuanming Yang, Wenyi Hong, Xiaohan Zhang, Guanyu Feng, Da Yin, Yuxuan Zhang, Weihan Wang, Yean Cheng, Bin Xu, Xiaotao Gu, Yuxiao Dong, Jie Tang |
| 2025 | Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization. | Wenkai Yang, Shiqi Shen, Guangyao Shen, Wei Yao, Yong Liu, Gong Zhi, Yankai Lin, Ji-Rong Wen |
| 2025 | Solving Token Gradient Conflict in Mixture-of-Experts for Large Vision-Language Model. | Longrong Yang, Dong Shen, Chaoxiang Cai, Fan Yang, Tingting Gao, Di Zhang, Xi Li |
| 2025 | ST-GCond: Self-supervised and Transferable Graph Dataset Condensation. | Beining Yang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Jianxin Li |
451–475 of 11,991← PreviousNext →
Comparable venues
Other A*/A conferences filed under the same field of research.
- A*ICMLInternational Conference on Machine Learning
- 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)