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 | KBLaM: Knowledge Base augmented Language Model. | Xi Wang, Taketomo Isazawa, Liana Mikaelyan, James Hensman |
| 2025 | Learning Graph Quantized Tokenizers. | Limei Wang, Kaveh Hassani, Si Zhang, Dongqi Fu, Baichuan Yuan, Weilin Cong, Zhigang Hua, Hao Wu, Ning Yao, Bo Long |
| 2025 | PooDLe🐩: Pooled and dense self-supervised learning from naturalistic videos. | Alex N. Wang, Christopher Hoang, Yuwen Xiong, Yann LeCun, Mengye Ren |
| 2025 | Differentiation and Specialization of Attention Heads via the Refined Local Learning Coefficient. | George Wang, Jesse Hoogland, Stan van Wingerden, Zach Furman, Daniel Murfet |
| 2025 | CREAM: Consistency Regularized Self-Rewarding Language Models. | Zhaoyang Wang, Weilei He, Zhiyuan Liang, Xuchao Zhang, Chetan Bansal, Ying Wei, Weitong Zhang, Huaxiu Yao |
| 2025 | ToolGen: Unified Tool Retrieval and Calling via Generation. | Renxi Wang, Xudong Han, Lei Ji, Shu Wang, Timothy Baldwin, Haonan Li |
| 2025 | Adversarial Attacks on Data Attribution. | Xinhe Wang, Pingbang Hu, Junwei Deng, Jiaqi W. Ma |
| 2025 | A Theoretically-Principled Sparse, Connected, and Rigid Graph Representation of Molecules. | Shih-Hsin Wang, Yuhao Huang, Justin M. Baker, Yuan-En Sun, Qi Tang, Bao Wang |
| 2025 | Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning. | Xinyue Wang, Biwei Huang |
| 2025 | Towards Domain Adaptive Neural Contextual Bandits. | Ziyan Wang, Xiaoming Huo, Hao Wang |
| 2025 | An Information Criterion for Controlled Disentanglement of Multimodal Data. | Chenyu Wang, Sharut Gupta, Xinyi Zhang, Sana Tonekaboni, Stefanie Jegelka, Tommi S. Jaakkola, Caroline Uhler |
| 2025 | Sample then Identify: A General Framework for Risk Control and Assessment in Multimodal Large Language Models. | Qingni Wang, Tiantian Geng, Zhiyuan Wang, Teng Wang, Bo Fu, Feng Zheng |
| 2025 | Bootstrapped Model Predictive Control. | Yuhang Wang, Hanwei Guo, Sizhe Wang, Long Qian, Xuguang Lan |
| 2025 | Towards Universality: Studying Mechanistic Similarity Across Language Model Architectures. | Junxuan Wang, Xuyang Ge, Wentao Shu, Qiong Tang, Yunhua Zhou, Zhengfu He, Xipeng Qiu |
| 2025 | FreeVS: Generative View Synthesis on Free Driving Trajectory. | Qitai Wang, Lue Fan, Yuqi Wang, Yuntao Chen, Zhaoxiang Zhang |
| 2025 | TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters. | Haiyang Wang, Yue Fan, Muhammad Ferjad Naeem, Yongqin Xian, Jan Eric Lenssen, Liwei Wang, Federico Tombari, Bernt Schiele |
| 2025 | MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance. | Xierui Wang, Siming Fu, Qihan Huang, Wanggui He, Hao Jiang |
| 2025 | MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding. | Fei Wang, Xingyu Fu, James Y. Huang, Zekun Li, Qin Liu, Xiaogeng Liu, Mingyu Derek Ma, Nan Xu, Wenxuan Zhou, Kai Zhang, Tianyi Lorena Yan, Wenjie Jacky Mo, Hsiang-Hui Liu, Pan Lu, Chunyuan Li, Chaowei Xiao, Kai-Wei Chang, Dan Roth, Sheng Zhang, Hoifung Poon, Muhao Chen |
| 2025 | Prioritized Generative Replay. | Renhao Wang, Kevin Frans, Pieter Abbeel, Sergey Levine, Alexei A. Efros |
| 2025 | StringLLM: Understanding the String Processing Capability of Large Language Models. | Xilong Wang, Hao Fu, Jindong Wang, Neil Zhenqiang Gong |
| 2025 | Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents. | Haoyu Wang, Sunhao Dai, Haiyuan Zhao, Liang Pang, Xiao Zhang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen |
| 2025 | Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter Efficient. | Wenlong Wang, Ivana Dusparic, Yucheng Shi, Ke Zhang, Vinny Cahill |
| 2025 | Captured by Captions: On Memorization and its Mitigation in CLIP Models. | Wenhao Wang, Adam Dziedzic, Grace C. Kim, Michael Backes, Franziska Boenisch |
| 2025 | LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging. | Ke Wang, Nikolaos Dimitriadis, Alessandro Favero, Guillermo Ortiz-Jimnez, Franois Fleuret, Pascal Frossard |
| 2025 | Exploring The Forgetting in Adversarial Training: A Novel Method for Enhancing Robustness. | Xianglu Wang, Hu Ding |
826–850 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)