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 | ShEPhERD: Diffusing shape, electrostatics, and pharmacophores for bioisosteric drug design. | Keir Adams, Kento Abeywardane, Jenna C. Fromer, Connor W. Coley |
| 2025 | Test-time Adaptation for Regression by Subspace Alignment. | Kazuki Adachi, Shin'ya Yamaguchi, Atsutoshi Kumagai, Tomoki Hamagami |
| 2025 | Inspection and Control of Self-Generated-Text Recognition Ability in Llama3-8b-Instruct. | Christopher Ackerman, Nina Panickssery |
| 2025 | Learning to Explore and Exploit with GNNs for Unsupervised Combinatorial Optimization. | Utku Umur Acikalin, Aaron M. Ferber, Carla P. Gomes |
| 2025 | Contractive Dynamical Imitation Policies for Efficient Out-of-Sample Recovery. | Amin Abyaneh, Mahrokh Ghoddousi Boroujeni, Hsiu-Chin Lin, Giancarlo Ferrari-Trecate |
| 2025 | Boosting Perturbed Gradient Ascent for Last-Iterate Convergence in Games. | Kenshi Abe, Mitsuki Sakamoto, Kaito Ariu, Atsushi Iwasaki |
| 2025 | Transformer Meets Twicing: Harnessing Unattended Residual Information. | Laziz U. Abdullaev, Tan Minh Nguyen |
| 2025 | Balancing Act: Diversity and Consistency in Large Language Model Ensembles. | Ahmed Abdulaal, Chen Jin, Nina Montaa Brown, Aryo Pradipta Gema, Daniel C. Castro, Daniel C. Alexander, Philip Alexander Teare, Tom Diethe, Dino Oglic, Amrutha Saseendran |
| 2025 | Learning from negative feedback, or positive feedback or both. | Abbas Abdolmaleki, Bilal Piot, Bobak Shahriari, Jost Tobias Springenberg, Tim Hertweck, Michael Bloesch, Rishabh Joshi, Thomas Lampe, Junhyuk Oh, Nicolas Heess, Jonas Buchli, Martin A. Riedmiller |
| 2025 | Learning High-Degree Parities: The Crucial Role of the Initialization. | Emmanuel Abbe, Elisabetta Cornacchia, Jan Hazla, Donald Kougang-Yombi |
| 2025 | MaxCutPool: differentiable feature-aware Maxcut for pooling in graph neural networks. | Carlo Abate, Filippo Maria Bianchi |
| 2025 | Copyright-Protected Language Generation via Adaptive Model Fusion. | Javier Abad, Konstantin Donhauser, Francesco Pinto, Fanny Yang |
| 2025 | Certified Robustness Under Bounded Levenshtein Distance. | Elas Abad-Rocamora, Grigorios Chrysos, Volkan Cevher |
| 2025 | Learning-Augmented Frequent Directions. | Anders Aamand, Justin Y. Chen, Siddharth Gollapudi, Sandeep Silwal, Hao Wu |
| 2025 | Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data. | Asad Aali, Giannis Daras, Brett Levac, Sidharth Kumar, Alex Dimakis, Jonathan I. Tamir |
| 2025 | Realistic Evaluation of Deep Partial-Label Learning Algorithms. | Wei Wang, Dong-Dong Wu, Jindong Wang, Gang Niu, Min-Ling Zhang, Masashi Sugiyama |
| 2025 | CityGaussianV2: Efficient and Geometrically Accurate Reconstruction for Large-Scale Scenes. | Yang Liu, Chuanchen Luo, Zhongkai Mao, Junran Peng, Zhaoxiang Zhang |
| 2025 | Large Scale Knowledge Washing. | Yu Wang, Ruihan Wu, Zexue He, Xiusi Chen, Julian J. McAuley |
| 2025 | Self-Updatable Large Language Models by Integrating Context into Model Parameters. | Yu Wang, Xinshuang Liu, Xiusi Chen, Sean O'Brien, Junda Wu, Julian J. McAuley |
| 2025 | A Large-scale Training Paradigm for Graph Generative Models. | Yu Wang, Ryan A. Rossi, Namyong Park, Huiyuan Chen, Nesreen K. Ahmed, Puja Trivedi, Franck Dernoncourt, Danai Koutra, Tyler Derr |
| 2025 | Large Convolutional Model Tuning via Filter Subspace. | Wei Chen, Zichen Miao, Qiang Qiu |
| 2025 | SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression. | Xin Wang, Yu Zheng, Zhongwei Wan, Mi Zhang |
| 2025 | LLaRA: Supercharging Robot Learning Data for Vision-Language Policy. | Xiang Li, Cristina Mata, Jongwoo Park, Kumara Kahatapitiya, Yoo Sung Jang, Jinghuan Shang, Kanchana Ranasinghe, Ryan D. Burgert, Mu Cai, Yong Jae Lee, Michael S. Ryoo |
| 2025 | ImageFolder: Autoregressive Image Generation with Folded Tokens. | Xiang Li, Kai Qiu, Hao Chen, Jason Kuen, Jiuxiang Gu, Bhiksha Raj, Zhe Lin |
| 2025 | Information Theoretic Text-to-Image Alignment. | Chao Wang, Giulio Franzese, Alessandro Finamore, Massimo Gallo, Pietro Michiardi |
3,426–3,450 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)