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 | An Effective Theory of Bias Amplification. | Arjun Subramonian, Samuel J. Bell, Levent Sagun, Elvis Dohmatob |
| 2025 | Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains. | Vighnesh Subramaniam, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba, Shuang Li, Igor Mordatch |
| 2025 | Learning to Discover Regulatory Elements for Gene Expression Prediction. | Xingyu Su, Haiyang Yu, Degui Zhi, Shuiwang Ji |
| 2025 | Learn-by-interact: A Data-Centric Framework For Self-Adaptive Agents in Realistic Environments. | Hongjin Su, Ruoxi Sun, Jinsung Yoon, Pengcheng Yin, Tao Yu, Sercan . Arik |
| 2025 | Inverse decision-making using neural amortized Bayesian actors. | Dominik Straub, Tobias F. Niehues, Jan Peters, Constantin A. Rothkopf |
| 2025 | Optimal Strong Regret and Violation in Constrained MDPs via Policy Optimization. | Francesco Emanuele Stradi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti |
| 2025 | Improving Instruction-Following in Language Models through Activation Steering. | Alessandro Stolfo, Vidhisha Balachandran, Safoora Yousefi, Eric Horvitz, Besmira Nushi |
| 2025 | Model merging with SVD to tie the Knots. | George Stoica, Pratik Ramesh, Boglarka Ecsedi, Leshem Choshen, Judy Hoffman |
| 2025 | Beyond the convexity assumption: Realistic tabular data generation under quantifier-free real linear constraints. | Mihaela C. Stoian, Eleonora Giunchiglia |
| 2025 | CausalRivers - Scaling up benchmarking of causal discovery for real-world time-series. | Gideon Stein, Maha Shadaydeh, Jan Blunk, Niklas Penzel, Joachim Denzler |
| 2025 | Variational Search Distributions. | Daniel M. Steinberg, Rafael Oliveira, Cheng Soon Ong, Edwin V. Bonilla |
| 2025 | A Simple Framework for Open-Vocabulary Zero-Shot Segmentation. | Thomas Stegmller, Tim Lebailly, Nikola Dukic, Behzad Bozorgtabar, Tinne Tuytelaars, Jean-Philippe Thiran |
| 2025 | On the self-verification limitations of large language models on reasoning and planning tasks. | Kaya Stechly, Karthik Valmeekam, Subbarao Kambhampati |
| 2025 | ProtComposer: Compositional Protein Structure Generation with 3D Ellipsoids. | Hannes Strk, Bowen Jing, Tomas Geffner, Jason Yim, Tommi S. Jaakkola, Arash Vahdat, Karsten Kreis |
| 2025 | Precise Parameter Localization for Textual Generation in Diffusion Models. | Lukasz Staniszewski, Bartosz Cywinski, Franziska Boenisch, Kamil Deja, Adam Dziedzic |
| 2025 | Language Models are Advanced Anonymizers. | Robin Staab, Mark Vero, Mislav Balunovic, Martin T. Vechev |
| 2025 | Preble: Efficient Distributed Prompt Scheduling for LLM Serving. | Vikranth Srivatsa, Zijian He, Reyna Abhyankar, Dongming Li, Yiying Zhang |
| 2025 | Model-Agnostic Knowledge Guided Correction for Improved Neural Surrogate Rollout. | Bharat Srikishan, Daniel O'Malley, Mohamed Mehana, Nicholas Lubbers, Nikhil Muralidhar |
| 2025 | REGENT: A Retrieval-Augmented Generalist Agent That Can Act In-Context in New Environments. | Kaustubh Sridhar, Souradeep Dutta, Dinesh Jayaraman, Insup Lee |
| 2025 | Generalized Behavior Learning from Diverse Demonstrations. | Varshith Sreeramdass, Rohan R. Paleja, Letian Chen, Sanne van Waveren, Matthew C. Gombolay |
| 2025 | Repetition Improves Language Model Embeddings. | Jacob Mitchell Springer, Suhas Kotha, Daniel Fried, Graham Neubig, Aditi Raghunathan |
| 2025 | To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning. | Zayne Rea Sprague, Fangcong Yin, Juan Diego Rodriguez, Dongwei Jiang, Manya Wadhwa, Prasann Singhal, Xinyu Zhao, Xi Ye, Kyle Mahowald, Greg Durrett |
| 2025 | ThunderKittens: Simple, Fast, and Adorable Kernels. | Benjamin Frederick Spector, Simran Arora, Aaryan Singhal, Arjun Parthasarathy, Daniel Y. Fu, Christopher R |
| 2025 | Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining. | Daouda Sow, Herbert Woisetschlger, Saikiran Bulusu, Shiqiang Wang, Hans-Arno Jacobsen, Yingbin Liang |
| 2025 | Understanding Virtual Nodes: Oversquashing and Node Heterogeneity. | Joshua Southern, Francesco Di Giovanni, Michael M. Bronstein, Johannes F. Lutzeyer |
1,076–1,100 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)