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 | Compositional Entailment Learning for Hyperbolic Vision-Language Models. | Avik Pal, Max van Spengler, Guido Maria D'Amely di Melendugno, Alessandro Flaborea, Fabio Galasso, Pascal Mettes |
| 2025 | Multi-Modal and Multi-Attribute Generation of Single Cells with CFGen. | Alessandro Palma, Till Richter, Hanyi Zhang, Manuel Lubetzki, Alexander Tong, Andrea Dittadi, Fabian J. Theis |
| 2025 | Consistency Checks for Language Model Forecasters. | Daniel Paleka, Abhimanyu Pallavi Sudhir, Alejandro Alvarez, Vineeth Bhat, Adam Shen, Evan Wang, Florian Tramr |
| 2025 | Improving Graph Neural Networks by Learning Continuous Edge Directions. | Seong Ho Pahng, Sahand Hormoz |
| 2025 | Decoupled Finetuning for Domain Generalizable Semantic Segmentation. | Jaehyun Pahk, Donghyeon Kwon, Seong Joon Oh, Suha Kwak |
| 2025 | Navigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional Divergence. | Frederik Pahde, Maximilian Dreyer, Moritz Weckbecker, Leander Weber, Christopher J. Anders, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin |
| 2025 | BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games. | Davide Paglieri, Bartlomiej Cupial, Samuel Coward, Ulyana Piterbarg, Maciej Wolczyk, Akbir Khan, Eduardo Pignatelli, Lukasz Kucinski, Lerrel Pinto, Rob Fergus, Jakob Nicolaus Foerster, Jack Parker-Holder, Tim Rocktschel |
| 2025 | The AdEMAMix Optimizer: Better, Faster, Older. | Matteo Pagliardini, Pierre Ablin, David Grangier |
| 2025 | Separation Power of Equivariant Neural Networks. | Marco Pacini, Xiaowen Dong, Bruno Lepri, Gabriele Santin |
| 2025 | LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision. | Mateusz Pach, Koryna Lewandowska, Jacek Tabor, Bartosz Michal Zielinski, Dawid Damian Rymarczyk |
| 2025 | Preference Elicitation for Offline Reinforcement Learning. | Alize Pace, Bernhard Schlkopf, Gunnar Rtsch, Giorgia Ramponi |
| 2025 | Second Order Bounds for Contextual Bandits with Function Approximation. | Aldo Pacchiano |
| 2025 | Privacy-Aware Lifelong Learning. | Ozan zdenizci, Elmar Rueckert, Robert Legenstein |
| 2025 | Improving Probabilistic Diffusion Models With Optimal Diagonal Covariance Matching. | Zijing Ou, Mingtian Zhang, Andi Zhang, Tim Z. Xiao, Yingzhen Li, David Barber |
| 2025 | SelectFormer in Data Markets: Privacy-Preserving and Efficient Data Selection for Transformers with Multi-Party Computation. | Xu Ouyang, Felix Xiaozhu Lin, Yangfeng Ji |
| 2025 | Projection Head is Secretly an Information Bottleneck. | Zhuo Ouyang, Kaiwen Hu, Qi Zhang, Yifei Wang, Yisen Wang |
| 2025 | RepoGraph: Enhancing AI Software Engineering with Repository-level Code Graph. | Siru Ouyang, Wenhao Yu, Kaixin Ma, Zilin Xiao, Zhihan Zhang, Mengzhao Jia, Jiawei Han, Hongming Zhang, Dong Yu |
| 2025 | Distilling Structural Representations into Protein Sequence Models. | Jeffrey Ouyang-Zhang, Chengyue Gong, Yue Zhao, Philipp Krhenbhl, Adam R. Klivans, Daniel Jesus Diaz |
| 2025 | Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data. | Jingyang Ou, Shen Nie, Kaiwen Xue, Fengqi Zhu, Jiacheng Sun, Zhenguo Li, Chongxuan Li |
| 2025 | Efficient Off-Policy Learning for High-Dimensional Action Spaces. | Fabian Otto, Philipp Becker, Ngo Anh Vien, Gerhard Neumann |
| 2025 | HyperFace: Generating Synthetic Face Recognition Datasets by Exploring Face Embedding Hypersphere. | Hatef Otroshi-Shahreza, Sbastien Marcel |
| 2025 | Learning Randomized Algorithms with Transformers. | Johannes von Oswald, Seijin Kobayashi, Yassir Akram, Angelika Steger |
| 2025 | Standardizing Structural Causal Models. | Weronika Ormaniec, Scott Sussex, Lars Lorch, Bernhard Schlkopf, Andreas Krause |
| 2025 | What Does It Mean to Be a Transformer? Insights from a Theoretical Hessian Analysis. | Weronika Ormaniec, Felix Dangel, Sidak Pal Singh |
| 2025 | LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations. | Hadas Orgad, Michael Toker, Zorik Gekhman, Roi Reichart, Idan Szpektor, Hadas Kotek, Yonatan Belinkov |
1,501–1,525 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)