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 | Neural Stochastic Differential Equations for Uncertainty-Aware Offline RL. | Cevahir Kprl, Franck Djeumou, Ufuk Topcu |
| 2025 | Bandit Learning in Matching Markets with Indifference. | Fang Kong, Jingqi Tang, Mingzhu Li, Pinyan Lu, John C. S. Lui, Shuai Li |
| 2025 | Differentially private optimization for non-decomposable objective functions. | Weiwei Kong, Andrs Muoz Medina, Mnica Ribero |
| 2025 | Toward Generalizing Visual Brain Decoding to Unseen Subjects. | Xiangtao Kong, Kexin Huang, Ping Li, Lei Zhang |
| 2025 | GOFA: A Generative One-For-All Model for Joint Graph Language Modeling. | Lecheng Kong, Jiarui Feng, Hao Liu, Chengsong Huang, Jiaxin Huang, Yixin Chen, Muhan Zhang |
| 2025 | Representational Similarity via Interpretable Visual Concepts. | Neehar Kondapaneni, Oisin Mac Aodha, Pietro Perona |
| 2025 | Mind the GAP: Glimpse-based Active Perception improves generalization and sample efficiency of visual reasoning. | Oleh Kolner, Thomas Ortner, Stanislaw Wozniak, Angeliki Pantazi |
| 2025 | Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting. | Marcel Kollovieh, Marten Lienen, David Ldke, Leo Schwinn, Stephan Gnnemann |
| 2025 | Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries. | Chris Kolb, Tobias Weber, Bernd Bischl, David Rgamer |
| 2025 | Composable Interventions for Language Models. | Arinbjrn Kolbeinsson, Kyle O'Brien, Tianjin Huang, Shanghua Gao, Shiwei Liu, Jonathan Richard Schwarz, Anurag Jayant Vaidya, Faisal Mahmood, Marinka Zitnik, Tianlong Chen, Thomas Hartvigsen |
| 2025 | Latent Safety-Constrained Policy Approach for Safe Offline Reinforcement Learning. | Prajwal Koirala, Zhanhong Jiang, Soumik Sarkar, Cody H. Fleming |
| 2025 | Quantum-PEFT: Ultra parameter-efficient fine-tuning. | Toshiaki Koike-Akino, Francesco Tonin, Yongtao Wu, Frank Zhengqing Wu, Leyla Naz Candogan, Volkan Cevher |
| 2025 | FlickerFusion: Intra-trajectory Domain Generalizing Multi-agent Reinforcement Learning. | Woosung Koh, Wonbeen Oh, Siyeol Kim, Suhin Shin, Hyeongjin Kim, Jaein Jang, Junghyun Lee, Se-Young Yun |
| 2025 | SeRA: Self-Reviewing and Alignment of LLMs using Implicit Reward Margins. | Jongwoo Ko, Saket Dingliwal, Bhavana Ganesh, Sailik Sengupta, Sravan Babu Bodapati, Aram Galstyan |
| 2025 | Large Language Models can Become Strong Self-Detoxifiers. | Ching-Yun Ko, Pin-Yu Chen, Payel Das, Youssef Mroueh, Soham Dan, Georgios Kollias, Subhajit Chaudhury, Tejaswini Pedapati, Luca Daniel |
| 2025 | Towards Automated Knowledge Integration From Human-Interpretable Representations. | Kasia Kobalczyk, Mihaela van der Schaar |
| 2025 | Active Task Disambiguation with LLMs. | Kasia Kobalczyk, Nicols Astorga, Tennison Liu, Mihaela van der Schaar |
| 2025 | Physiome-ODE: A Benchmark for Irregularly Sampled Multivariate Time-Series Forecasting Based on Biological ODEs. | Christian Kltergens, Vijaya Krishna Yalavarthi, Randolf Scholz, Maximilian Stubbemann, Stefan Born, Lars Schmidt-Thieme |
| 2025 | On the Modeling Capabilities of Large Language Models for Sequential Decision Making. | Martin Klissarov, R. Devon Hjelm, Alexander T. Toshev, Bogdan Mazoure |
| 2025 | MaestroMotif: Skill Design from Artificial Intelligence Feedback. | Martin Klissarov, Mikael Henaff, Roberta Raileanu, Shagun Sodhani, Pascal Vincent, Amy Zhang, Pierre-Luc Bacon, Doina Precup, Marlos C. Machado, Pierluca D'Oro |
| 2025 | Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering. | Klaus-Rudolf Kladny, Bernhard Schlkopf, Michael Muehlebach |
| 2025 | ReSi: A Comprehensive Benchmark for Representational Similarity Measures. | Max Klabunde, Tassilo Wald, Tobias Schumacher, Klaus H. Maier-Hein, Markus Strohmaier, Florian Lemmerich |
| 2025 | Bounds on Lp Errors in Density Ratio Estimation via f-Divergence Loss Functions. | Yoshiaki Kitazawa |
| 2025 | Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form. | Toshinori Kitamura, Tadashi Kozuno, Wataru Kumagai, Kenta Hoshino, Yohei Hosoe, Kazumi Kasaura, Masashi Hamaya, Paavo Parmas, Yutaka Matsuo |
| 2025 | metabench - A Sparse Benchmark of Reasoning and Knowledge in Large Language Models. | Alexander Kipnis, Konstantinos Voudouris, Luca M. Schulze Buschoff, Eric Schulz |
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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)