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 | Leveraging Submodule Linearity Enhances Task Arithmetic Performance in LLMs. | Rui Dai, Sile Hu, Xu Shen, Yonggang Zhang, Xinmei Tian, Jieping Ye |
| 2025 | Mitigating Reward Over-Optimization in RLHF via Behavior-Supported Regularization. | Juntao Dai, Taiye Chen, Yaodong Yang, Qian Zheng, Gang Pan |
| 2025 | AutoUAD: Hyper-parameter Optimization for Unsupervised Anomaly Detection. | Wei Dai, Jicong Fan |
| 2025 | Flow-based Variational Mutual Information: Fast and Flexible Approximations. | Caleb Dahlke, Jason Pacheco |
| 2025 | Uncertainty-Aware Decoding with Minimum Bayes Risk. | Nico Daheim, Clara Meister, Thomas Mllenhoff, Iryna Gurevych |
| 2025 | Do Stochastic, Feel Noiseless: Stable Stochastic Optimization via a Double Momentum Mechanism. | Tehila Dahan, Kfir Yehuda Levy |
| 2025 | SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments. | Simon Dahan, Gabriel Bndict, Logan Zane John Williams, Yourong Guo, Daniel Rueckert, Robert Leech, Emma Claire Robinson |
| 2025 | Bayesian WeakS-to-Strong from Text Classification to Generation. | Ziyun Cui, Ziyang Zhang, Guangzhi Sun, Wen Wu, Chao Zhang |
| 2025 | CURIE: Evaluating LLMs on Multitask Scientific Long-Context Understanding and Reasoning. | Hao Cui, Zahra Shamsi, Gowoon Cheon, Xuejian Ma, Shutong Li, Maria Tikhanovskaya, Peter Christian Norgaard, Nayantara Mudur, Martyna Beata Plomecka, Paul Raccuglia, Yasaman Bahri, Victor V. Albert, Pranesh Srinivasan, Haining Pan, Philippe Faist, Brian Rohr, Michael J. Statt, Dan Morris, Drew Purves, Elise Kleeman, et al. |
| 2025 | A Multiscale Frequency Domain Causal Framework for Enhanced Pathological Analysis. | Xiaoyu Cui, Weixing Chen, Jiandong Su |
| 2025 | Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment. | Chenhang Cui, An Zhang, Yiyang Zhou, Zhaorun Chen, Gelei Deng, Huaxiu Yao, Tat-Seng Chua |
| 2025 | Hypothetical Minds: Scaffolding Theory of Mind for Multi-Agent Tasks with Large Language Models. | Logan Matthew Cross, Violet Xiang, Agam Bhatia, Daniel L. K. Yamins, Nick Haber |
| 2025 | SynFlowNet: Design of Diverse and Novel Molecules with Synthesis Constraints. | Miruna T. Cretu, Charles Harris, Ilia Igashov, Arne Schneuing, Marwin H. S. Segler, Bruno E. Correia, Julien Roy, Emmanuel Bengio, Pietro Lio |
| 2025 | Conformal Prediction Sets Can Cause Disparate Impact. | Jesse C. Cresswell, Bhargava Kumar, Yi Sui, Mouloud Belbahri |
| 2025 | Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression. | Michael Crawshaw, Blake Woodworth, Mingrui Liu |
| 2025 | Complexity Lower Bounds of Adaptive Gradient Algorithms for Non-convex Stochastic Optimization under Relaxed Smoothness. | Michael Crawshaw, Mingrui Liu |
| 2025 | Locality Alignment Improves Vision-Language Models. | Ian Connick Covert, Tony Sun, James Zou, Tatsunori Hashimoto |
| 2025 | Utility-Directed Conformal Prediction: A Decision-Aware Framework for Actionable Uncertainty Quantification. | Santiago Cortes-Gomez, Carlos Miguel Patio, Yewon Byun, Steven Wu, Eric Horvitz, Bryan Wilder |
| 2025 | Composing Unbalanced Flows for Flexible Docking and Relaxation. | Gabriele Corso, Vignesh Ram Somnath, Noah Getz, Regina Barzilay, Tommi S. Jaakkola, Andreas Krause |
| 2025 | The OMG dataset: An Open MetaGenomic corpus for mixed-modality genomic language modeling. | Andre Cornman, Jacob West-Roberts, Antonio Pedro Camargo, Simon Roux, Martin Beracochea, Milot Mirdita, Sergey Ovchinnikov, Yunha Hwang |
| 2025 | LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression. | Laurent Condat, Arto Maranjyan, Peter Richtrik |
| 2025 | Adaptive Methods through the Lens of SDEs: Theoretical Insights on the Role of Noise. | Enea Monzio Compagnoni, Tianlin Liu, Rustem Islamov, Frank Norbert Proske, Antonio Orvieto, Aurlien Lucchi |
| 2025 | Fair Clustering in the Sliding Window Model. | Vincent Cohen-Addad, Shaofeng H.-C. Jiang, Qiaoyuan Yang, Yubo Zhang, Samson Zhou |
| 2025 | Differentiable Optimization of Similarity Scores Between Models and Brains. | Nathan Cloos, Moufan Li, Markus Siegel, Scott L. Brincat, Earl K. Miller, Guangyu Robert Yang, Christopher J. Cueva |
| 2025 | σ-zero: Gradient-based Optimization of ℓ0-norm Adversarial Examples. | Antonio Emanuele Cin, Francesco Villani, Maura Pintor, Lea Schnherr, Battista Biggio, Marcello Pelillo |
2,976–3,000 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)