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 | Diversity-Rewarded CFG Distillation. | Geoffrey Cideron, Andrea Agostinelli, Johan Ferret, Sertan Girgin, Romuald Elie, Olivier Bachem, Sarah Perrin, Alexandre Ram |
| 2025 | Gramian Multimodal Representation Learning and Alignment. | Giordano Cicchetti, Eleonora Grassucci, Luigi Sigillo, Danilo Comminiello |
| 2025 | Efficient Causal Decision Making with One-sided Feedback. | Jianing Chu, Shu Yang, Wenbin Lu, Pulak Ghosh |
| 2025 | Probabilistic Language-Image Pre-Training. | Sanghyuk Chun, Wonjae Kim, Song Park, Sangdoo Yun |
| 2025 | CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models. | Hyungjin Chung, Jeongsol Kim, Geon Yeong Park, Hyelin Nam, Jong Chul Ye |
| 2025 | BoneMet: An Open Large-Scale Multi-Modal Murine Dataset for Breast Cancer Bone Metastasis Diagnosis and Prognosis. | Tiankuo Chu, Fudong Lin, Shubo Wang, Jason Jiang, Wiley Jia-Wei Gong, Xu Yuan, Liyun Wang |
| 2025 | Unlocking the Potential of Model Calibration in Federated Learning. | Yun-Wei Chu, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher Brinton |
| 2025 | 3D-AffordanceLLM: Harnessing Large Language Models for Open-Vocabulary Affordance Detection in 3D Worlds. | Hengshuo Chu, Xiang Deng, Qi Lv, Xiaoyang Chen, Yinchuan Li, Jianye Hao, Liqiang Nie |
| 2025 | Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning. | Caleb Chuck, Fan Feng, Carl Qi, Chang Shi, Siddhant Agarwal, Amy Zhang, Scott Niekum |
| 2025 | Lightweight Neural App Control. | Filippos Christianos, Georgios Papoudakis, Thomas Coste, Jianye Hao, Jun Wang, Kun Shao |
| 2025 | Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models. | Yinlam Chow, Guy Tennenholtz, Izzeddin Gur, Vincent Zhuang, Bo Dai, Aviral Kumar, Rishabh Agarwal, Sridhar Thiagarajan, Craig Boutilier, Aleksandra Faust |
| 2025 | PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding. | Wei Chow, Jiageng Mao, Boyi Li, Daniel Seita, Vitor Campagnolo Guizilini, Yue Wang |
| 2025 | Conditional Diffusion with Ordinal Regression: Longitudinal Data Generation for Neurodegenerative Disease Studies. | Hyuna Cho, Ziquan Wei, Seungjoo Lee, Tingting Dan, Guorong Wu, Won Hwa Kim |
| 2025 | RankSHAP: Shapley Value Based Feature Attributions for Learning to Rank. | Tanya Chowdhury, Yair Zick, James Allan |
| 2025 | Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning. | Somnath Basu Roy Chowdhury, Krzysztof Marcin Choromanski, Arijit Sehanobish, Kumar Avinava Dubey, Snigdha Chaturvedi |
| 2025 | Better than Your Teacher: LLM Agents that learn from Privileged AI Feedback. | Sanjiban Choudhury, Paloma Sodhi |
| 2025 | Physics-Informed Deep Inverse Operator Networks for Solving PDE Inverse Problems. | Sung Woong Cho, Hwijae Son |
| 2025 | Near-Exact Privacy Amplification for Matrix Mechanisms. | Christopher A. Choquette-Choo, Arun Ganesh, Saminul Haque, Thomas Steinke, Abhradeep Guha Thakurta |
| 2025 | CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models. | Zheng Chong, Xiao Dong, Haoxiang Li, Shiyue Zhang, Wenqing Zhang, Hanqing Zhao, Xujie Zhang, Dongmei Jiang, Xiaodan Liang |
| 2025 | Long-tailed Adversarial Training with Self-Distillation. | Seungju Cho, Hongsin Lee, Changick Kim |
| 2025 | Sylber: Syllabic Embedding Representation of Speech from Raw Audio. | Cheol Jun Cho, Nicholas Lee, Akshat Gupta, Dhruv Agarwal, Ethan Chen, Alan W. Black, Gopala Anumanchipalli |
| 2025 | CoMRes: Semi-Supervised Time Series Forecasting Utilizing Consensus Promotion of Multi-Resolution. | Yunju Cho, Jay-Yoon Lee |
| 2025 | Revisiting In-context Learning Inference Circuit in Large Language Models. | Hakaze Cho, Mariko Kato, Yoshihiro Sakai, Naoya Inoue |
| 2025 | Do You Keep an Eye on What I Ask? Mitigating Multimodal Hallucination via Attention-Guided Ensemble Decoding. | Yeongjae Cho, Keonwoo Kim, Taebaek Hwang, Sungzoon Cho |
| 2025 | Neural Functions for Learning Periodic Signal. | Woojin Cho, Minju Jo, Kookjin Lee, Noseong Park |
3,001–3,025 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)