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 | EC-DIT: Scaling Diffusion Transformers with Adaptive Expert-Choice Routing. | Haotian Sun, Tao Lei, Bowen Zhang, Yanghao Li, Haoshuo Huang, Ruoming Pang, Bo Dai, Nan Du |
| 2025 | Rethinking Classifier Re-Training in Long-Tailed Recognition: Label Over-Smooth Can Balance. | Siyu Sun, Han Lu, Jiangtong Li, Yichen Xie, Tianjiao Li, Xiaokang Yang, Liqing Zhang, Junchi Yan |
| 2025 | Multi-Label Node Classification with Label Influence Propagation. | Yifei Sun, Zemin Liu, Bryan Hooi, Yang Yang, Rizal Fathony, Jia Chen, Bingsheng He |
| 2025 | Procedural Synthesis of Synthesizable Molecules. | Michael Sun, Alston Lo, Minghao Guo, Jie Chen, Connor W. Coley, Wojciech Matusik |
| 2025 | Unsupervised Multiple Kernel Learning for Graphs via Ordinality Preservation. | Yan Sun, Stanley Kok |
| 2025 | Causal Representation Learning from Multimodal Biomedical Observations. | Yuewen Sun, Lingjing Kong, Guangyi Chen, Loka Li, Gongxu Luo, Zijian Li, Yixuan Zhang, Yujia Zheng, Mengyue Yang, Petar Stojanov, Eran Segal, Eric P. Xing, Kun Zhang |
| 2025 | Visual Agents as Fast and Slow Thinkers. | Guangyan Sun, Mingyu Jin, Zhenting Wang, Cheng-Long Wang, Siqi Ma, Qifan Wang, Tong Geng, Ying Nian Wu, Yongfeng Zhang, Dongfang Liu |
| 2025 | A General Framework for Producing Interpretable Semantic Text Embeddings. | Yiqun Sun, Qiang Huang, Yixuan Tang, Anthony Kum Hoe Tung, Jun Yu |
| 2025 | Global Identifiability of Overcomplete Dictionary Learning via L1 and Volume Minimization. | Yuchen Sun, Kejun Huang |
| 2025 | EG4D: Explicit Generation of 4D Object without Score Distillation. | Qi Sun, Zhiyang Guo, Ziyu Wan, Jing Nathan Yan, Shengming Yin, Wengang Zhou, Jing Liao, Houqiang Li |
| 2025 | DynAlign: Unsupervised Dynamic Taxonomy Alignment for Cross-Domain Segmentation. | Han Sun, Rui Gong, Ismail Nejjar, Olga Fink |
| 2025 | Uncertainty and Influence aware Reward Model Refinement for Reinforcement Learning from Human Feedback. | Zexu Sun, Yiju Guo, Yankai Lin, Xu Chen, Qi Qi, Xing Tang, Xiuqiang He, Ji-Rong Wen |
| 2025 | AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models. | Sung-Bin Kim, Oh Hyun-Bin, JungMok Lee, Arda Senocak, Joon Son Chung, Tae-Hyun Oh |
| 2025 | What's the Move? Hybrid Imitation Learning via Salient Points. | Priya Sundaresan, Hengyuan Hu, Quan Vuong, Jeannette Bohg, Dorsa Sadigh |
| 2025 | Personalized Representation from Personalized Generation. | Shobhita Sundaram, Julia Chae, Yonglong Tian, Sara Beery, Phillip Isola |
| 2025 | Transformer-Squared: Self-adaptive LLMs. | Qi Sun, Edoardo Cetin, Yujin Tang |
| 2025 | Both Ears Wide Open: Towards Language-Driven Spatial Audio Generation. | Peiwen Sun, Sitong Cheng, Xiangtai Li, Zhen Ye, Huadai Liu, Honggang Zhang, Wei Xue, Yike Guo |
| 2025 | How new data permeates LLM knowledge and how to dilute it. | Chen Sun, Renat Aksitov, Andrey Zhmoginov, Nolan Andrew Miller, Max Vladymyrov, Ulrich Rueckert, Been Kim, Mark Sandler |
| 2025 | Democratic Training Against Universal Adversarial Perturbations. | Bing Sun, Jun Sun, Wei Zhao |
| 2025 | Optimal Brain Apoptosis. | Mingyuan Sun, Zheng Fang, Jiaxu Wang, Junjie Jiang, Delei Kong, Chenming Hu, Yuetong Fang, Renjing Xu |
| 2025 | HyperDAS: Towards Automating Mechanistic Interpretability with Hypernetworks. | Jiuding Sun, Jing Huang, Sidharth Baskaran, Karel D'Oosterlinck, Christopher Potts, Michael Sklar, Atticus Geiger |
| 2025 | On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning. | Yongyi Su, Yushu Li, Nanqing Liu, Kui Jia, Xulei Yang, Chuan-Sheng Foo, Xun Xu |
| 2025 | Multi-objective Differentiable Neural Architecture Search. | Rhea Sanjay Sukthanker, Arber Zela, Benedikt Staffler, Samuel Dooley, Josif Grabocka, Frank Hutter |
| 2025 | MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization. | Bhavya Sukhija, Stelian Coros, Andreas Krause, Pieter Abbeel, Carmelo Sferrazza |
| 2025 | A Generalist Hanabi Agent. | Arjun Vaithilingam Sudhakar, Hadi Nekoei, Mathieu Reymond, Miao Liu, Janarthanan Rajendran, Sarath Chandar |
1,051–1,075 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)