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 | Discrete Distribution Networks. | Lei Yang |
| 2025 | Topological Schrdinger Bridge Matching. | Maosheng Yang |
| 2025 | Chain-of-Thought Provably Enables Learning the (Otherwise) Unlearnable. | Chenxiao Yang, Zhiyuan Li, David Wipf |
| 2025 | A CLIP-Powered Framework for Robust and Generalizable Data Selection. | Suorong Yang, Peng Ye, Wanli Ouyang, Dongzhan Zhou, Furao Shen |
| 2025 | OptiBench Meets ReSocratic: Measure and Improve LLMs for Optimization Modeling. | Zhicheng Yang, Yiwei Wang, Yinya Huang, Zhijiang Guo, Wei Shi, Xiongwei Han, Liang Feng, Linqi Song, Xiaodan Liang, Jing Tang |
| 2025 | Can We Ignore Labels in Out of Distribution Detection? | Hong Yang, Qi Yu, Travis Desell |
| 2025 | Sketching for Convex and Nonconvex Regularized Least Squares with Sharp Guarantees. | Yingzhen Yang, Ping Li |
| 2025 | Consistent Flow Distillation for Text-to-3D Generation. | Runjie Yan, Yinbo Chen, Xiaolong Wang |
| 2025 | Small Models are LLM Knowledge Triggers for Medical Tabular Prediction. | Jiahuan Yan, Jintai Chen, Chaowen Hu, Bo Zheng, Yaojun Hu, Jimeng Sun, Jian Wu |
| 2025 | TC-MoE: Augmenting Mixture of Experts with Ternary Expert Choice. | Shen Yan, Xingyan Bin, Sijun Zhang, Yisen Wang, Zhouchen Lin |
| 2025 | Federated Residual Low-Rank Adaptation of Large Language Models. | Yunlu Yan, Chun-Mei Feng, Wangmeng Zuo, Rick Siow Mong Goh, Yong Liu, Lei Zhu |
| 2025 | On the Importance of Language-driven Representation Learning for Heterogeneous Federated Learning. | Yunlu Yan, Chun-Mei Feng, Wangmeng Zuo, Salman H. Khan, Yong Liu, Lei Zhu |
| 2025 | Gaussian-Det: Learning Closed-Surface Gaussians for 3D Object Detection. | Hongru Yan, Yu Zheng, Yueqi Duan |
| 2025 | Don't Take Things Out of Context: Attention Intervention for Enhancing Chain-of-Thought Reasoning in Large Language Models. | Shaotian Yan, Chen Shen, Wenxiao Wang, Liang Xie, Junjie Liu, Jieping Ye |
| 2025 | OpenRCA: Can Large Language Models Locate the Root Cause of Software Failures? | Junjielong Xu, Qinan Zhang, Zhiqing Zhong, Shilin He, Chaoyun Zhang, Qingwei Lin, Dan Pei, Pinjia He, Dongmei Zhang, Qi Zhang |
| 2025 | FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models. | Zhipei Xu, Xuanyu Zhang, Runyi Li, Zecheng Tang, Qing Huang, Jian Zhang |
| 2025 | FIRING-Net: A filtered feature recycling network for speech enhancement. | Xinmeng Xu, Yiqun Zhang, Jizhen Li, Yuhong Yang, Yong Luo, Weiping Tu |
| 2025 | MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models. | Chejian Xu, Jiawei Zhang, Zhaorun Chen, Chulin Xie, Mintong Kang, Yujin Potter, Zhun Wang, Zhuowen Yuan, Alexander Xiong, Zidi Xiong, Chenhui Zhang, Lingzhi Yuan, Yi Zeng, Peiyang Xu, Chengquan Guo, Andy Zhou, Jeffrey Ziwei Tan, Xuandong Zhao, Francesco Pinto, Zhen Xiang, et al. |
| 2025 | UGMathBench: A Diverse and Dynamic Benchmark for Undergraduate-Level Mathematical Reasoning with Large Language Models. | Xin Xu, Jiaxin Zhang, Tianhao Chen, Zitong Chao, Jishan Hu, Can Yang |
| 2025 | A Distributional Approach to Uncertainty-Aware Preference Alignment Using Offline Demonstrations. | Sheng Xu, Bo Yue, Hongyuan Zha, Guiliang Liu |
| 2025 | RMP-SAM: Towards Real-Time Multi-Purpose Segment Anything. | Shilin Xu, Haobo Yuan, Qingyu Shi, Lu Qi, Jingbo Wang, Yibo Yang, Yining Li, Kai Chen, Yunhai Tong, Bernard Ghanem, Xiangtai Li, Ming-Hsuan Yang |
| 2025 | Tackling Data Corruption in Offline Reinforcement Learning via Sequence Modeling. | Jiawei Xu, Rui Yang, Shuang Qiu, Feng Luo, Meng Fang, Baoxiang Wang, Lei Han |
| 2025 | MambaQuant: Quantizing the Mamba Family with Variance Aligned Rotation Methods. | Zukang Xu, Yuxuan Yue, Xing Hu, Dawei Yang, Zhihang Yuan, Zixu Jiang, Zhixuan Chen, Jiangyong Yu, Chen Xu, Sifan Zhou |
| 2025 | Can LLMs Solve Longer Math Word Problems Better? | Xin Xu, Tong Xiao, Zitong Chao, Zhenya Huang, Can Yang, Yang Wang |
| 2025 | SLMRec: Distilling Large Language Models into Small for Sequential Recommendation. | Wujiang Xu, Qitian Wu, Zujie Liang, Jiaojiao Han, Xuying Ning, Yunxiao Shi, Wenfang Lin, Yongfeng Zhang |
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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)