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 | GotenNet: Rethinking Efficient 3D Equivariant Graph Neural Networks. | Sarp Aykent, Tian Xia |
| 2025 | Track-On: Transformer-based Online Point Tracking with Memory. | Grkay Aydemir, Xiongyi Cai, Weidi Xie, Fatma Gney |
| 2025 | Can LLMs Really Learn to Translate a Low-Resource Language from One Grammar Book? | Seth Aycock, David Stap, Di Wu, Christof Monz, Khalil Sima'an |
| 2025 | On the Expressiveness of Rational ReLU Neural Networks With Bounded Depth. | Gennadiy Averkov, Christopher Hojny, Maximilian Merkert |
| 2025 | How Learnable Grids Recover Fine Detail in Low Dimensions: A Neural Tangent Kernel Analysis of Multigrid Parametric Encodings. | Samuel Audia, Soheil Feizi, Matthias Zwicker, Dinesh Manocha |
| 2025 | Transformer Block Coupling and its Correlation with Generalization in LLMs. | Murdock Aubry, Haoming Meng, Anton Sugolov, Vardan Papyan |
| 2025 | Provably Safeguarding a Classifier from OOD and Adversarial Samples. | Nicolas Atienza, Johanne Cohen, Christophe Labreuche, Michle Sebag |
| 2025 | The Optimization Landscape of SGD Across the Feature Learning Strength. | Alexander B. Atanasov, Alexandru Meterez, James B. Simon, Cengiz Pehlevan |
| 2025 | Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold. | Lazar Atanackovic, Xi Zhang, Brandon Amos, Mathieu Blanchette, Leo J. Lee, Yoshua Bengio, Alexander Tong, Kirill Neklyudov |
| 2025 | ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning. | Yarden As, Bhavya Sukhija, Lenart Treven, Carmelo Sferrazza, Stelian Coros, Andreas Krause |
| 2025 | To Code or Not To Code? Exploring Impact of Code in Pre-training. | Viraat Aryabumi, Yixuan Su, Raymond Ma, Adrien Morisot, Ivan Zhang, Acyr Locatelli, Marzieh Fadaee, Ahmet stn, Sara Hooker |
| 2025 | Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models. | Marianne Arriola, Aaron Gokaslan, Justin T. Chiu, Zhihan Yang, Zhixuan Qi, Jiaqi Han, Subham Sekhar Sahoo, Volodymyr Kuleshov |
| 2025 | Talking Turns: Benchmarking Audio Foundation Models on Turn-Taking Dynamics. | Siddhant Arora, Zhiyun Lu, Chung-Cheng Chiu, Ruoming Pang, Shinji Watanabe |
| 2025 | High-Quality Joint Image and Video Tokenization with Causal VAE. | Dawit Mureja Argaw, Xian Liu, Qinsheng Zhang, Joon Son Chung, Ming-Yu Liu, Fitsum Reda |
| 2025 | Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoning. | Md Rifat Arefin, Gopeshh Subbaraj, Nicolas Gontier, Yann LeCun, Irina Rish, Ravid Shwartz-Ziv, Christopher Pal |
| 2025 | Hidden in the Noise: Two-Stage Robust Watermarking for Images. | Kasra Arabi, Benjamin Feuer, R. Teal Witter, Chinmay Hegde, Niv Cohen |
| 2025 | SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement. | Antonis Antoniades, Albert rwall, Kexun Zhang, Yuxi Xie, Anirudh Goyal, William Yang Wang |
| 2025 | A Unified Theory of Quantum Neural Network Loss Landscapes. | Eric R. Anschuetz |
| 2025 | Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation. | Zhaochong An, Guolei Sun, Yun Liu, Runjia Li, Min Wu, Ming-Ming Cheng, Ender Konukoglu, Serge J. Belongie |
| 2025 | Equivariant Masked Position Prediction for Efficient Molecular Representation. | Junyi An, Chao Qu, Yunfei Shi, Xinhao Liu, Qianwei Tang, Fenglei Cao, Yuan Qi |
| 2025 | Handling Delay in Real-Time Reinforcement Learning. | Ivan Anokhin, Rishav Rishav, Matthew Riemer, Stephen Chung, Irina Rish, Samira Ebrahimi Kahou |
| 2025 | Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models. | Zachary Ankner, Cody Blakeney, Kartik Sreenivasan, Max Marion, Matthew L. Leavitt, Mansheej Paul |
| 2025 | AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents. | Maksym Andriushchenko, Alexandra Souly, Mateusz Dziemian, Derek Duenas, Maxwell Lin, Justin Wang, Dan Hendrycks, Andy Zou, J. Zico Kolter, Matt Fredrikson, Yarin Gal, Xander Davies |
| 2025 | Does Refusal Training in LLMs Generalize to the Past Tense? | Maksym Andriushchenko, Nicolas Flammarion |
| 2025 | Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks. | Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion |
3,351–3,375 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)