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 | Boosting the visual interpretability of CLIP via adversarial fine-tuning. | Shizhan Gong, Haoyu Lei, Qi Dou, Farzan Farnia |
| 2025 | Towards Auto-Regressive Next-Token Prediction: In-context Learning Emerges from Generalization. | Zixuan Gong, Xiaolin Hu, Huayi Tang, Yong Liu |
| 2025 | VVC-Gym: A Fixed-Wing UAV Reinforcement Learning Environment for Multi-Goal Long-Horizon Problems. | Xudong Gong, Dawei Feng, Kele Xu, Weijia Wang, Zhangjun Sun, Xing Zhou, Si Zheng, Bo Ding, Huaimin Wang |
| 2025 | Scaling Diffusion Language Models via Adaptation from Autoregressive Models. | Shansan Gong, Shivam Agarwal, Yizhe Zhang, Jiacheng Ye, Lin Zheng, Mukai Li, Chenxin An, Peilin Zhao, Wei Bi, Jiawei Han, Hao Peng, Lingpeng Kong |
| 2025 | Robustness of Quantum Algorithms for Nonconvex Optimization. | Weiyuan Gong, Chenyi Zhang, Tongyang Li |
| 2025 | AdaFisher: Adaptive Second Order Optimization via Fisher Information. | Damien Martins Gomes, Yanlei Zhang, Eugene Belilovsky, Guy Wolf, Mahdi S. Hosseini |
| 2025 | How many samples are needed to train a deep neural network? | Pegah Golestaneh, Mahsa Taheri, Johannes Lederer |
| 2025 | Differentially Private Steering for Large Language Model Alignment. | Anmol Goel, Yaxi Hu, Iryna Gurevych, Amartya Sanyal |
| 2025 | Breach By A Thousand Leaks: Unsafe Information Leakage in 'Safe' AI Responses. | David Glukhov, Ziwen Han, Ilia Shumailov, Vardan Papyan, Nicolas Papernot |
| 2025 | Compositional simulation-based inference for time series. | Manuel Glckler, Shoji Toyota, Kenji Fukumizu, Jakob H. Macke |
| 2025 | Black-Box Detection of Language Model Watermarks. | Thibaud Gloaguen, Nikola Jovanovic, Robin Staab, Martin T. Vechev |
| 2025 | Language Agents Meet Causality - Bridging LLMs and Causal World Models. | John Gkountouras, Matthias Lindemann, Phillip Lippe, Efstratios Gavves, Ivan Titov |
| 2025 | Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs). | Leander Girrbach, Stephan Alaniz, Yiran Huang, Trevor Darrell, Zeynep Akata |
| 2025 | Fourier Head: Helping Large Language Models Learn Complex Probability Distributions. | Nate Gillman, Daksh Aggarwal, Michael Freeman, Chen Sun |
| 2025 | On the Relation between Trainability and Dequantization of Variational Quantum Learning Models. | Elies Gil-Fuster, Casper Gyurik, Adrin Prez-Salinas, Vedran Dunjko |
| 2025 | Learning Dynamics of Deep Matrix Factorization Beyond the Edge of Stability. | Avrajit Ghosh, Soo Min Kwon, Rongrong Wang, Saiprasad Ravishankar, Qing Qu |
| 2025 | Synthio: Augmenting Small-Scale Audio Classification Datasets with Synthetic Data. | Sreyan Ghosh, Sonal Kumar, Zhifeng Kong, Rafael Valle, Bryan Catanzaro, Dinesh Manocha |
| 2025 | Logical Consistency of Large Language Models in Fact-Checking. | Bishwamittra Ghosh, Sarah Hasan, Naheed Anjum Arafat, Arijit Khan |
| 2025 | Visual Description Grounding Reduces Hallucinations and Boosts Reasoning in LVLMs. | Sreyan Ghosh, Chandra Kiran Reddy Evuru, Sonal Kumar, Utkarsh Tyagi, Oriol Nieto, Zeyu Jin, Dinesh Manocha |
| 2025 | OvercookedV2: Rethinking Overcooked for Zero-Shot Coordination. | Tobias Gessler, Tin Dizdarevic, Ani Calinescu, Benjamin Ellis, Andrei Lupu, Jakob Nicolaus Foerster |
| 2025 | Machine Unlearning via Simulated Oracle Matching. | Kristian Georgiev, Roy Rinberg, Sung Min Park, Shivam Garg, Andrew Ilyas, Aleksander Madry, Seth Neel |
| 2025 | PWM: Policy Learning with Multi-Task World Models. | Ignat Georgiev, Varun Giridhar, Nicklas Hansen, Animesh Garg |
| 2025 | SIMPL: Scalable and hassle-free optimisation of neural representations from behaviour. | Tom M. George, Pierre Glaser, Kim Stachenfeld, Caswell Barry, Claudia Clopath |
| 2025 | Differentiable Integer Linear Programming. | Zijie Geng, Jie Wang, Xijun Li, Fangzhou Zhu, Jianye Hao, Bin Li, Feng Wu |
| 2025 | LaMPlace: Learning to Optimize Cross-Stage Metrics in Macro Placement. | Zijie Geng, Jie Wang, Ziyan Liu, Siyuan Xu, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Feng Wu |
2,676–2,700 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)