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 | ToVE: Efficient Vision-Language Learning via Knowledge Transfer from Vision Experts. | Yuanchen Wu, Junlong Du, Ke Yan, Shouhong Ding, Xiaoqiang Li |
| 2025 | Moner: Motion Correction in Undersampled Radial MRI with Unsupervised Neural Representation. | Qing Wu, Chenhe Du, Xuanyu Tian, Jingyi Yu, Yuyao Zhang, Hongjiang Wei |
| 2025 | Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction. | Ziyang Wu, Tianjiao Ding, Yifu Lu, Druv Pai, Jingyuan Zhang, Weida Wang, Yaodong Yu, Yi Ma, Benjamin David Haeffele |
| 2025 | CFD: Learning Generalized Molecular Representation via Concept-Enhanced Feedback Disentanglement. | Aming Wu, Cheng Deng |
| 2025 | DICE: End-to-end Deformation Capture of Hand-Face Interactions from a Single Image. | Qingxuan Wu, Zhiyang Dou, Sirui Xu, Soshi Shimada, Chen Wang, Zhengming Yu, Yuan Liu, Cheng Lin, Zeyu Cao, Taku Komura, Vladislav Golyanik, Christian Theobalt, Wenping Wang, Lingjie Liu |
| 2025 | Diffusing States and Matching Scores: A New Framework for Imitation Learning. | Runzhe Wu, Yiding Chen, Gokul Swamy, Kiant Brantley, Wen Sun |
| 2025 | Actions Speak Louder Than Words: Rate-Reward Trade-off in Markov Decision Processes. | Haotian Wu, Gongpu Chen, Deniz Gndz |
| 2025 | Addressing Label Shift in Distributed Learning via Entropy Regularization. | Zhiyuan Wu, Changkyu Choi, Xiangcheng Cao, Volkan Cevher, Ali Ramezani-Kebrya |
| 2025 | Visual Haystacks: A Vision-Centric Needle-In-A-Haystack Benchmark. | Tsung-Han Wu, Giscard Biamby, Jerome Quenum, Ritwik Gupta, Joseph E. Gonzalez, Trevor Darrell, David M. Chan |
| 2025 | Generative Monoculture in Large Language Models. | Fan Wu, Emily Black, Varun Chandrasekaran |
| 2025 | Policy Design in Long-run Welfare Dynamics. | Jiduan Wu, Rediet Abebe, Moritz Hardt, Ana-Andreea Stoica |
| 2025 | Asymmetric Factorized Bilinear Operation for Vision Transformer. | Junjie Wu, Qilong Wang, Jiangtao Xie, Pengfei Zhu, Qinghua Hu |
| 2025 | Unsupervised Disentanglement of Content and Style via Variance-Invariance Constraints. | Yuxuan Wu, Ziyu Wang, Bhiksha Raj, Gus Xia |
| 2025 | Towards Semantic Equivalence of Tokenization in Multimodal LLM. | Shengqiong Wu, Hao Fei, Xiangtai Li, Jiayi Ji, Hanwang Zhang, Tat-Seng Chua, Shuicheng Yan |
| 2025 | A Simple yet Effective ΔΔG Predictor is An Unsupervised Antibody Optimizer and Explainer. | Lirong Wu, Yunfan Liu, Haitao Lin, Yufei Huang, Guojiang Zhao, Zhifeng Gao, Stan Z. Li |
| 2025 | Progress or Regress? Self-Improvement Reversal in Post-training. | Ting Wu, Xuefeng Li, Pengfei Liu |
| 2025 | Analyzing Neural Scaling Laws in Two-Layer Networks with Power-Law Data Spectra. | Roman Worschech, Bernd Rosenow |
| 2025 | Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHR Data. | Michael Wornow, Suhana Bedi, Miguel Angel Fuentes Hernandez, Ethan Steinberg, Jason Alan Fries, Christopher R, Sanmi Koyejo, Nigam Shah |
| 2025 | Meta-Continual Learning of Neural Fields. | Seungyoon Woo, Junhyeog Yun, Gunhee Kim |
| 2025 | PaCA: Partial Connection Adaptation for Efficient Fine-Tuning. | Sunghyeon Woo, Sol Namkung, Sunwoo Lee, Inho Jeong, Beomseok Kim, Dongsuk Jeon |
| 2025 | Towards Scalable Topological Regularizers. | Hiu-Tung Wong, Darrick Lee, Hong Yan |
| 2025 | MetaMetrics: Calibrating Metrics for Generation Tasks Using Human Preferences. | Genta Indra Winata, David Anugraha, Lucky Susanto, Garry Kuwanto, Derry Tanti Wijaya |
| 2025 | Systems with Switching Causal Relations: A Meta-Causal Perspective. | Moritz Willig, Tim Nelson Tobiasch, Florian Peter Busch, Jonas Seng, Devendra Singh Dhami, Kristian Kersting |
| 2025 | Expressivity of Neural Networks with Random Weights and Learned Biases. | Ezekiel Williams, Alexandre Payeur, Avery Hee-Woon Ryoo, Thomas Jiralerspong, Matthew G. Perich, Luca Mazzucato, Guillaume Lajoie |
| 2025 | On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback. | Marcus Williams, Micah Carroll, Adhyyan Narang, Constantin Weisser, Brendan Murphy, Anca D. Dragan |
676–700 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)