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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

Best Machine Learning conferences

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.

YearTitleAuthors
2025Contextual Self-paced Learning for Weakly Supervised Spatio-Temporal Video Grounding.Akash Kumar, Zsolt Kira, Yogesh S. Rawat
2025Framer: Interactive Frame Interpolation.Wen Wang, Qiuyu Wang, Kecheng Zheng, Hao Ouyang, Zhekai Chen, Biao Gong, Hao Chen, Yujun Shen, Chunhua Shen
2025Building Math Agents with Multi-Turn Iterative Preference Learning.Wei Xiong, Chengshuai Shi, Jiaming Shen, Aviv Rosenberg, Zhen Qin, Daniele Calandriello, Misha Khalman, Rishabh Joshi, Bilal Piot, Mohammad Saleh, Chi Jin, Tong Zhang, Tianqi Liu
2025R-Sparse: Rank-Aware Activation Sparsity for Efficient LLM Inference.Zhenyu Zhang, Zechun Liu, Yuandong Tian, Harshit Khaitan, Zhangyang Wang, Steven Li
2025N-ForGOT: Towards Not-forgetting and Generalization of Open Temporal Graph Learning.Liping Wang, Xujia Li, Jingshu Peng, Yue Wang, Chen Zhang, Yan Zhou, Lei Chen
2025BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models.Yu Feng, Ben Zhou, Weidong Lin, Dan Roth
2025Let the Code LLM Edit Itself When You Edit the Code.Zhenyu He, Jun Zhang, Shengjie Luo, Jingjing Xu, Zhi Zhang, Di He
2025Routing Experts: Learning to Route Dynamic Experts in Existing Multi-modal Large Language Models.Qiong Wu, Zhaoxi Ke, Yiyi Zhou, Xiaoshuai Sun, Rongrong Ji
2025MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction.Cheng Tan, Zhenxiao Cao, Zhangyang Gao, Lirong Wu, Siyuan Li, Yufei Huang, Jun Xia, Bozhen Hu, Stan Z. Li
2025Physics of Language Models: Part 2.1, Grade-School Math and the Hidden Reasoning Process.Tian Ye, Zicheng Xu, Yuanzhi Li, Zeyuan Allen-Zhu
2025Physics of Language Models: Part 2.2, How to Learn From Mistakes on Grade-School Math Problems.Tian Ye, Zicheng Xu, Yuanzhi Li, Zeyuan Allen-Zhu
2025LeanQuant: Accurate and Scalable Large Language Model Quantization with Loss-error-aware Grid.Tianyi Zhang, Anshumali Shrivastava
2025ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning.Xiao Yu, Baolin Peng, Vineeth Vajipey, Hao Cheng, Michel Galley, Jianfeng Gao, Zhou Yu
2025The Rise and Down of Babel Tower: Investigating the Evolution Process of Multilingual Code Large Language Model.Jiawei Chen, Wentao Chen, Jing Su, Jingjing Xu, Hongyu Lin, Mengjie Ren, Yaojie Lu, Xianpei Han, Le Sun
2025Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation.Yiming Wang, Pei Zhang, Baosong Yang, Derek F. Wong, Rui Wang
2025Are Large Vision Language Models Good Game Players?Xinyu Wang, Bohan Zhuang, Qi Wu
2025Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation.Chen Xu, Yuxin Li, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua
2025OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting.Xing Hu, Yuan Cheng, Dawei Yang, Zhixuan Chen, Zukang Xu, Jiangyong Yu, Chen Xu, Zhihang Yuan, Zhe Jiang, Sifan Zhou
2025Self-Correcting Decoding with Generative Feedback for Mitigating Hallucinations in Large Vision-Language Models.Ce Zhang, Zifu Wan, Zhehan Kan, Martin Q. Ma, Simon Stepputtis, Deva Ramanan, Russ Salakhutdinov, Louis-Philippe Morency, Katia P. Sycara, Yaqi Xie
2025Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining.Jie Cheng, Ruixi Qiao, Yingwei Ma, Binhua Li, Gang Xiong, Qinghai Miao, Yongbin Li, Yisheng Lv
2025Hymba: A Hybrid-head Architecture for Small Language Models.Xin Dong, Yonggan Fu, Shizhe Diao, Wonmin Byeon, Zijia Chen, Ameya Sunil Mahabaleshwarkar, Shih-Yang Liu, Matthijs Van Keirsbilck, Min-Hung Chen, Yoshi Suhara, Yingyan Celine Lin, Jan Kautz, Pavlo Molchanov
2025An Effective Manifold-based Optimization Method for Distributionally Robust Classification.Jiawei Huang, Hu Ding
2025Multiple Heads are Better than One: Mixture of Modality Knowledge Experts for Entity Representation Learning.Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen
2025MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection.Xi Jiang, Jian Li, Hanqiu Deng, Yong Liu, Bin-Bin Gao, Yifeng Zhou, Jialin Li, Chengjie Wang, Feng Zheng
2025Dynamic Modeling of Patients, Modalities and Tasks via Multi-modal Multi-task Mixture of Experts.Chenwei Wu, Zitao Shuai, Zhengxu Tang, Luning Wang, Liyue Shen
3,476–3,500 of 11,991← PreviousNext →

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