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 | Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness. | Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Junfeng Fang, Hongcheng Gao, Shiyu Ni, Xueqi Cheng |
| 2025 | Forking Paths in Neural Text Generation. | Eric J. Bigelow, Ari Holtzman, Hidenori Tanaka, Tomer David Ullman |
| 2025 | DynamicCity: Large-Scale 4D Occupancy Generation from Dynamic Scenes. | Hengwei Bian, Lingdong Kong, Haozhe Xie, Liang Pan, Yu Qiao, Ziwei Liu |
| 2025 | Union-over-Intersections: Object Detection beyond Winner-Takes-All. | Aritra Bhowmik, Pascal Mettes, Martin R. Oswald, Cees G. M. Snoek |
| 2025 | Online epsilon Net & Piercing Set for Geometric Concepts. | Sujoy Bhore, Devdan Dey, Satyam Singh |
| 2025 | PRDP: Progressively Refined Differentiable Physics. | Kanishk Bhatia, Felix Koehler, Nils Thuerey |
| 2025 | Descent with Misaligned Gradients and Applications to Hidden Convexity. | Aditya Bhaskara, Ashok Cutkosky, Ravi Kumar, Manish Purohit |
| 2025 | CBMA: Improving Conformal Prediction through Bayesian Model Averaging. | Pankaj Bhagwat, Linglong Kong, Bei Jiang |
| 2025 | Holographic Node Representations: Pre-training Task-Agnostic Node Embeddings. | Beatrice Bevilacqua, Joshua Robinson, Jure Leskovec, Bruno Ribeiro |
| 2025 | Tell me about yourself: LLMs are aware of their learned behaviors. | Jan Betley, Xuchan Bao, Martn Soto, Anna Sztyber-Betley, James Chua, Owain Evans |
| 2025 | Halton Scheduler for Masked Generative Image Transformer. | Victor Besnier, Mickal Chen, David Hurych, Eduardo Valle, Matthieu Cord |
| 2025 | Boosting Latent Diffusion with Perceptual Objectives. | Tariq Berrada, Pietro Astolfi, Melissa Hall, Marton Havasi, Yohann Benchetrit, Adriana Romero-Soriano, Karteek Alahari, Michal Drozdzal, Jakob Verbeek |
| 2025 | Straight to Zero: Why Linearly Decaying the Learning Rate to Zero Works Best for LLMs. | Shane Bergsma, Nolan Simran Dey, Gurpreet Gosal, Gavia Gray, Daria Soboleva, Joel Hestness |
| 2025 | Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations. | Richard Bergna, Sergio Calvo-Ordoez, Felix L. Opolka, Pietro Lio, Jos Miguel Hernndez-Lobato |
| 2025 | Fast training and sampling of Restricted Boltzmann Machines. | Nicolas Breux, Aurlien Decelle, Cyril Furtlehner, Lorenzo Rosset, Beatriz Seoane |
| 2025 | Zero-shot Model-based Reinforcement Learning using Large Language Models. | Abdelhakim Benechehab, Youssef Attia El Hili, Ambroise Odonnat, Oussama Zekri, Albert Thomas, Giuseppe Paolo, Maurizio Filippone, Ievgen Redko, Balzs Kgl |
| 2025 | DeciMamba: Exploring the Length Extrapolation Potential of Mamba. | Assaf Ben-Kish, Itamar Zimerman, Shady Abu-Hussein, Nadav Cohen, Amir Globerson, Lior Wolf, Raja Giryes |
| 2025 | On Minimizing Adversarial Counterfactual Error in Adversarial Reinforcement Learning. | Roman Belaire, Arunesh Sinha, Pradeep Varakantham |
| 2025 | Sensitivity-Constrained Fourier Neural Operators for Forward and Inverse Problems in Parametric Differential Equations. | Abdolmehdi Behroozi, Chaopeng Shen, Daniel Kifer |
| 2025 | Metalic: Meta-Learning In-Context with Protein Language Models. | Jacob Beck, Shikha Surana, Manus McAuliffe, Oliver Bent, Thomas D. Barrett, Juan Jose Garau-Luis, Paul Duckworth |
| 2025 | Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling. | Jasmine Bayrooti, Carl Henrik Ek, Amanda Prorok |
| 2025 | The Pitfalls of Memorization: When Memorization Hurts Generalization. | Reza Bayat, Mohammad Pezeshki, Elvis Dohmatob, David Lopez-Paz, Pascal Vincent |
| 2025 | E(n) Equivariant Topological Neural Networks. | Claudio Battiloro, Ege Karaismailoglu, Mauricio Tec, George Dasoulas, Michelle Audirac, Francesca Dominici |
| 2025 | Physics-Informed Diffusion Models. | Jan-Hendrik Bastek, WaiChing Sun, Dennis M. Kochmann |
| 2025 | Explain Yourself, Briefly! Self-Explaining Neural Networks with Concise Sufficient Reasons. | Shahaf Bassan, Ron Eliav, Shlomit Gur |
3,276–3,300 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)