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 | Gaussian Differentially Private Human Faces Under a Face Radial Curve Representation. | Carlos J. Soto, Matthew Reimherr, Aleksandra B. Slavkovic, Mark Shriver |
| 2025 | Diffusion-based Neural Network Weights Generation. | Bedionita Soro, Bruno Andreis, Hayeon Lee, Wonyong Jeong, Song Chong, Frank Hutter, Sung Ju Hwang |
| 2025 | Do Deep Neural Network Solutions Form a Star Domain? | Ankit Sonthalia, Alexander Rubinstein, Ehsan Abbasnejad, Seong Joon Oh |
| 2025 | Distilling Reinforcement Learning Algorithms for In-Context Model-Based Planning. | Jaehyeon Son, Soochan Lee, Gunhee Kim |
| 2025 | Deep Kernel Relative Test for Machine-generated Text Detection. | Yiliao Song, Zhenqiao Yuan, Shuhai Zhang, Zhen Fang, Jun Yu, Feng Liu |
| 2025 | LASeR: Towards Diversified and Generalizable Robot Design with Large Language Models. | Junru Song, Yang Yang, Huan Xiao, Wei Peng, Wen Yao, Feifei Wang |
| 2025 | Locality Sensitive Avatars From Video. | Chunjin Song, Zhijie Wu, Shih-Yang Su, Bastian Wandt, Leonid Sigal, Helge Rhodin |
| 2025 | Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse. | Maojia Song, Shang Hong Sim, Rishabh Bhardwaj, Hai Leong Chieu, Navonil Majumder, Soujanya Poria |
| 2025 | Exploring the Camera Bias of Person Re-identification. | Myungseo Song, Jin-Woo Park, Jong-Seok Lee |
| 2025 | Relax and Merge: A Simple Yet Effective Framework for Solving Fair k-Means and k-sparse Wasserstein Barycenter Problems. | Shihong Song, Guanlin Mo, Hu Ding |
| 2025 | GPromptShield: Elevating Resilience in Graph Prompt Tuning Against Adversarial Attacks. | Shuhan Song, Ping Li, Ming Dun, Maolei Huang, Huawei Cao, Xiaochun Ye |
| 2025 | Refine-by-Align: Reference-Guided Artifacts Refinement through Semantic Alignment. | Yizhi Song, Liu He, Zhifei Zhang, Soo Ye Kim, He Zhang, Wei Xiong, Zhe Lin, Brian L. Price, Scott Cohen, Jianming Zhang, Daniel G. Aliaga |
| 2025 | CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery. | Xiaoshuai Song, Muxi Diao, Guanting Dong, Zhengyang Wang, Yujia Fu, Runqi Qiao, Zhexu Wang, Dayuan Fu, Huangxuan Wu, Bin Liang, Weihao Zeng, Yejie Wang, Zhuoma Gongque, Jianing Yu, Qiuna Tan, Weiran Xu |
| 2025 | Does SGD really happen in tiny subspaces? | Minhak Song, Kwangjun Ahn, Chulhee Yun |
| 2025 | DS-LLM: Leveraging Dynamical Systems to Enhance Both Training and Inference of Large Language Models. | Ruibing Song, Chuan Liu, Chunshu Wu, Ang Li, Dongfang Liu, Ying Nian Wu, Tong Geng |
| 2025 | Microcanonical Langevin Ensembles: Advancing the Sampling of Bayesian Neural Networks. | Emanuel Sommer, Jakob Robnik, Giorgi Nozadze, Uros Seljak, David Rgamer |
| 2025 | A transfer learning framework for weak to strong generalization. | Seamus Somerstep, Felipe Maia Polo, Moulinath Banerjee, Yaacov Ritov, Mikhail Yurochkin, Yuekai Sun |
| 2025 | Context-aware Dynamic Pruning for Speech Foundation Models. | Masao Someki, Yifan Peng, Siddhant Arora, Markus Mller, Athanasios Mouchtaris, Grant P. Strimel, Jing Liu, Shinji Watanabe |
| 2025 | Graph Neural Networks Gone Hogwild. | Olga Solodova, Nick Richardson, Deniz Oktay, Ryan P. Adams |
| 2025 | Don't flatten, tokenize! Unlocking the key to SoftMoE's efficacy in deep RL. | Ghada Sokar, Johan S. Obando-Ceron, Aaron C. Courville, Hugo Larochelle, Pablo Samuel Castro |
| 2025 | Rethinking Visual Counterfactual Explanations Through Region Constraint. | Bartlomiej Sobieski, Jakub Grzywaczewski, Bartlomiej Sadlej, Matthew Tivnan, Przemyslaw Biecek |
| 2025 | X-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs. | Vlad Sobal, Mark Ibrahim, Randall Balestriero, Vivien Cabannes, Diane Bouchacourt, Pietro Astolfi, Kyunghyun Cho, Yann LeCun |
| 2025 | Scaling LLM Test-Time Compute Optimally Can be More Effective than Scaling Parameters for Reasoning. | Charlie Victor Snell, Jaehoon Lee, Kelvin Xu, Aviral Kumar |
| 2025 | Diverse Preference Learning for Capabilities and Alignment. | Stewart Slocum, Asher Parker-Sartori, Dylan Hadfield-Menell |
| 2025 | POGEMA: A Benchmark Platform for Cooperative Multi-Agent Pathfinding. | Alexey Skrynnik, Anton Andreychuk, Anatolii Borzilov, Alexander Chernyavskiy, Konstantin S. Yakovlev, Aleksandr Panov |
1,101–1,125 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)