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 | Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator. | Xin Zhang, Jiawei Du, Ping Liu, Joey Tianyi Zhou |
| 2025 | Can a Large Language Model be a Gaslighter? | Wei Li, Luyao Zhu, Yang Song, Ruixi Lin, Rui Mao, Yang You |
| 2025 | Audio Large Language Models Can Be Descriptive Speech Quality Evaluators. | Chen Chen, Yuchen Hu, Siyin Wang, Helin Wang, Zhehuai Chen, Chao Zhang, Chao-Han Huck Yang, Eng Siong Chng |
| 2025 | uniINF: Best-of-Both-Worlds Algorithm for Parameter-Free Heavy-Tailed MABs. | Yu Chen, Jiatai Huang, Yan Dai, Longbo Huang |
| 2025 | Order-aware Interactive Segmentation. | Bin Wang, Anwesa Choudhuri, Meng Zheng, Zhongpai Gao, Benjamin Planche, Andong Deng, Qin Liu, Terrence Chen, Ulas Bagci, Ziyan Wu |
| 2025 | Distributional Associations vs In-Context Reasoning: A Study of Feed-forward and Attention Layers. | Lei Chen, Joan Bruna, Alberto Bietti |
| 2025 | MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra. | Liang Wang, Shaozhen Liu, Yu Rong, Deli Zhao, Qiang Liu, Shu Wu, Liang Wang |
| 2025 | World Model on Million-Length Video And Language With Blockwise RingAttention. | Hao Liu, Wilson Yan, Matei Zaharia, Pieter Abbeel |
| 2025 | FreDF: Learning to Forecast in the Frequency Domain. | Hao Wang, Lichen Pan, Yuan Shen, Zhichao Chen, Degui Yang, Yifei Yang, Sen Zhang, Xinggao Liu, Haoxuan Li, Dacheng Tao |
| 2025 | Longhorn: State Space Models are Amortized Online Learners. | Bo Liu, Rui Wang, Lemeng Wu, Yihao Feng, Peter Stone, Qiang Liu |
| 2025 | Temporal Reasoning Transfer from Text to Video. | Lei Li, Yuanxin Liu, Linli Yao, Peiyuan Zhang, Chenxin An, Lean Wang, Xu Sun, Lingpeng Kong, Qi Liu |
| 2025 | HAMSTER: Hierarchical Action Models for Open-World Robot Manipulation. | Yi Li, Yuquan Deng, Jesse Zhang, Joel Jang, Marius Memmel, Caelan Reed Garrett, Fabio Ramos, Dieter Fox, Anqi Li, Abhishek Gupta, Ankit Goyal |
| 2025 | Ensembling Diffusion Models via Adaptive Feature Aggregation. | Cong Wang, Kuan Tian, Yonghang Guan, Fei Shen, Zhiwei Jiang, Qing Gu, Jun Zhang |
| 2025 | Learning Spatial-Semantic Features for Robust Video Object Segmentation. | Xin Li, Deshui Miao, Zhenyu He, Yaowei Wang, Huchuan Lu, Ming-Hsuan Yang |
| 2025 | Neural Causal Graph for Interpretable and Intervenable Classification. | Jiawei Wang, Shaofei Lu, Da Cao, Dongyu Wang, Yuquan Le, Zhe Quan, Tat-Seng Chua |
| 2025 | Generating Physical Dynamics under Priors. | Zihan Zhou, Xiaoxue Wang, Tianshu Yu |
| 2025 | A Theoretical Analysis of Self-Supervised Learning for Vision Transformers. | Yu Huang, Zixin Wen, Yuejie Chi, Yingbin Liang |
| 2025 | Human-Aligned Chess With a Bit of Search. | Yiming Zhang, Athul Paul Jacob, Vivian Lai, Daniel Fried, Daphne Ippolito |
| 2025 | Learning Mask Invariant Mutual Information for Masked Image Modeling. | Tao Huang, Yanxiang Ma, Shan You, Chang Xu |
| 2025 | Learning to Help in Multi-Class Settings. | Yu Wu, Yansong Li, Zeyu Dong, Nitya Sathyavageeswaran, Anand D. Sarwate |
| 2025 | Mutual Effort for Efficiency: A Similarity-based Token Pruning for Vision Transformers in Self-Supervised Learning. | Sheng Li, Qitao Tan, Yue Dai, Zhenglun Kong, Tianyu Wang, Jun Liu, Ao Li, Ninghao Liu, Yufei Ding, Xulong Tang, Geng Yuan |
| 2025 | SonicSim: A customizable simulation platform for speech processing in moving sound source scenarios. | Kai Li, Wendi Sang, Chang Zeng, Runxuan Yang, Guo Chen, Xiaolin Hu |
| 2025 | Proximal Mapping Loss: Understanding Loss Functions in Crowd Counting & Localization. | Wei Lin, Jia Wan, Antoni B. Chan |
| 2025 | Rethinking Reward Modeling in Preference-based Large Language Model Alignment. | Hao Sun, Yunyi Shen, Jean-Francois Ton |
| 2025 | ParetoFlow: Guided Flows in Multi-Objective Optimization. | Ye Yuan, Can Chen, Christopher Pal, Xue Liu |
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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)