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 | Long-Sequence Recommendation Models Need Decoupled Embeddings. | Ningya Feng, Junwei Pan, Jialong Wu, Baixu Chen, Ximei Wang, Qian Li, Xian Hu, Jie Jiang, Mingsheng Long |
| 2025 | Zero-cost Proxy for Adversarial Robustness Evaluation. | Yuqi Feng, Yuwei Ou, Jiahao Fan, Yanan Sun |
| 2025 | UniGEM: A Unified Approach to Generation and Property Prediction for Molecules. | Shikun Feng, Yuyan Ni, Yan Lu, Zhi-Ming Ma, Wei-Ying Ma, Yanyan Lan |
| 2025 | Satisficing Regret Minimization in Bandits. | Qing Feng, Tianyi Ma, Ruihao Zhu |
| 2025 | I2VControl-Camera: Precise Video Camera Control with Adjustable Motion Strength. | Wanquan Feng, Jiawei Liu, Pengqi Tu, Tianhao Qi, Mingzhen Sun, Tianxiang Ma, Songtao Zhao, SiYu Zhou, Qian He |
| 2025 | Controllable Unlearning for Image-to-Image Generative Models via ϵ-Constrained Optimization. | Xiaohua Feng, Yuyuan Li, Chaochao Chen, Li Zhang, Longfei Li, Jun Zhou, Xiaolin Zheng |
| 2025 | Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo. | Shengyu Feng, Xiang Kong, Shuang Ma, Aonan Zhang, Dong Yin, Chong Wang, Ruoming Pang, Yiming Yang |
| 2025 | AnyTouch: Learning Unified Static-Dynamic Representation across Multiple Visuo-tactile Sensors. | Ruoxuan Feng, Jiangyu Hu, Wenke Xia, Tianci Gao, Ao Shen, Yuhao Sun, Bin Fang, Di Hu |
| 2025 | SINGER: Stochastic Network Graph Evolving Operator for High Dimensional PDEs. | Mingquan Feng, Yixin Huang, Weixin Liao, Yuhong Liu, Yizhou Liu, Junchi Yan |
| 2025 | PhysPDE: Rethinking PDE Discovery and a Physical Hypothesis Selection Benchmark. | Mingquan Feng, Yixin Huang, Yizhou Liu, Bofang Jiang, Junchi Yan |
| 2025 | TS-LIF: A Temporal Segment Spiking Neuron Network for Time Series Forecasting. | Shibo Feng, Wanjin Feng, Xingyu Gao, Peilin Zhao, Zhiqi Shen |
| 2025 | SaMer: A Scenario-aware Multi-dimensional Evaluator for Large Language Models. | Kehua Feng, Keyan Ding, Jing Yu, Yiwen Qu, Zhiwen Chen, Chengfei Lv, Gang Yu, Qiang Zhang, Huajun Chen |
| 2025 | Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verification. | Yunzhen Feng, Elvis Dohmatob, Pu Yang, Franois Charton, Julia Kempe |
| 2025 | Neural Approximate Mirror Maps for Constrained Diffusion Models. | Berthy Feng, Ricardo Baptista, Katherine L. Bouman |
| 2025 | Monitoring Latent World States in Language Models with Propositional Probes. | Jiahai Feng, Stuart Russell, Jacob Steinhardt |
| 2025 | Open-CK: A Large Multi-Physics Fields Coupling benchmarks in Combustion Kinetics. | Zaige Fei, Fan Xu, Junyuan Mao, Yuxuan Liang, Qingsong Wen, Kun Wang, Hao Wu, Yang Wang |
| 2025 | Discriminating image representations with principal distortions. | Jenelle Feather, David Lipshutz, Sarah E. Harvey, Alex H. Williams, Eero P. Simoncelli |
| 2025 | ColPali: Efficient Document Retrieval with Vision Language Models. | Manuel Faysse, Hugues Sibille, Tony Wu, Bilel Omrani, Gautier Viaud, Cline Hudelot, Pierre Colombo |
| 2025 | Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning. | Bahare Fatemi, Mehran Kazemi, Anton Tsitsulin, Karishma Malkan, Jinyeong Yim, John Palowitch, Sungyong Seo, Jonathan Halcrow, Bryan Perozzi |
| 2025 | Self-Normalized Resets for Plasticity in Continual Learning. | Vivek F. Farias, Adam Daniel Jozefiak |
| 2025 | LoRA-X: Bridging Foundation Models with Training-Free Cross-Model Adaptation. | Farzad Farhadzadeh, Debasmit Das, Shubhankar Borse, Fatih Porikli |
| 2025 | Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein Regularization. | Jiajun Fan, Shuaike Shen, Chaoran Cheng, Yuxin Chen, Chumeng Liang, Ge Liu |
| 2025 | HARDMath: A Benchmark Dataset for Challenging Problems in Applied Mathematics. | Jingxuan Fan, Sarah Martinson, Erik Y. Wang, Kaylie Hausknecht, Jonah Brenner, Danxian Liu, Nianli Peng, Corey Wang, Michael P. Brenner |
| 2025 | Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens. | Lijie Fan, Tianhong Li, Siyang Qin, Yuanzhen Li, Chen Sun, Michael Rubinstein, Deqing Sun, Kaiming He, Yonglong Tian |
| 2025 | What is Wrong with Perplexity for Long-context Language Modeling? | Lizhe Fang, Yifei Wang, Zhaoyang Liu, Chenheng Zhang, Stefanie Jegelka, Jinyang Gao, Bolin Ding, Yisen Wang |
2,801–2,825 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)