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 | SSLAM: Enhancing Self-Supervised Models with Audio Mixtures for Polyphonic Soundscapes. | Tony Alex, Sara Atito, Armin Mustafa, Muhammad Awais, Philip J. B. Jackson |
| 2025 | RandLoRA: Full rank parameter-efficient fine-tuning of large models. | Paul Albert, Frederic Z. Zhang, Hemanth Saratchandran, Cristian Rodriguez Opazo, Anton van den Hengel, Ehsan Abbasnejad |
| 2025 | Data Unlearning in Diffusion Models. | Silas Alberti, Kenan Hasanaliyev, Manav Shah, Stefano Ermon |
| 2025 | Query-based Knowledge Transfer for Heterogeneous Learning Environments. | Norah Alballa, Wenxuan Zhang, Ziquan Liu, Ahmed M. Abdelmoniem, Mohamed Elhoseiny, Marco Canini |
| 2025 | MIND: Math Informed syNthetic Dialogues for Pretraining LLMs. | Syeda Nahida Akter, Shrimai Prabhumoye, John Kamalu, Sanjeev Satheesh, Eric Nyberg, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro |
| 2025 | Century: A Framework and Dataset for Evaluating Historical Contextualisation of Sensitive Images. | Canfer Akbulut, Kevin Robinson, Maribeth Rauh, Isabela Albuquerque, Olivia Wiles, Laura Weidinger, Verena Rieser, Yana Hasson, Nahema Marchal, Iason Gabriel, William Isaac, Lisa Anne Hendricks |
| 2025 | Leveraging Driver Field-of-View for Multimodal Ego-Trajectory Prediction. | M. Eren Akbiyik, Nedko Savov, Danda Pani Paudel, Nikola Popovic, Christian Vater, Otmar Hilliges, Luc Van Gool, Xi Wang |
| 2025 | Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation. | Adil Kaan Akan, Yucel Yemez |
| 2025 | Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations. | Julius Aka, Johannes Brunnemann, Jrg Eiden, Arne Speerforck, Lars Mikelsons |
| 2025 | Progressive Token Length Scaling in Transformer Encoders for Efficient Universal Segmentation. | Abhishek Aich, Yumin Suh, Samuel Schulter, Manmohan Chandraker |
| 2025 | Improving Uncertainty Estimation through Semantically Diverse Language Generation. | Lukas Aichberger, Kajetan Schweighofer, Mykyta Ielanskyi, Sepp Hochreiter |
| 2025 | ImProver: Agent-Based Automated Proof Optimization. | Riyaz Ahuja, Jeremy Avigad, Prasad Tetali, Sean Welleck |
| 2025 | Gaussian Mixture Counterfactual Generator. | Jong-Hoon Ahn, Akshay Vashist |
| 2025 | Prevalence of Negative Transfer in Continual Reinforcement Learning: Analyses and a Simple Baseline. | Hongjoon Ahn, Jinu Hyeon, Youngmin Oh, Bosun Hwang, Taesup Moon |
| 2025 | Controllable Generation via Locally Constrained Resampling. | Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck |
| 2025 | Sensitivity Verification for Additive Decision Tree Ensembles. | Arhaan Ahmad, Tanay Vineet Tayal, Ashutosh Gupta, S. Akshay |
| 2025 | Provable Uncertainty Decomposition via Higher-Order Calibration. | Gustaf Ahdritz, Aravind Gollakota, Parikshit Gopalan, Charlotte Peale, Udi Wieder |
| 2025 | Learning from weak labelers as constraints. | Vishwajeet Agrawal, Rattana Pukdee, Maria-Florina Balcan, Pradeep Kumar Ravikumar |
| 2025 | Agent S: An Open Agentic Framework that Uses Computers Like a Human. | Saaket Agashe, Jiuzhou Han, Shuyu Gan, Jiachen Yang, Ang Li, Xin Eric Wang |
| 2025 | DELIFT: Data Efficient Language model Instruction Fine-Tuning. | Ishika Agarwal, Krishnateja Killamsetty, Lucian Popa, Marina Danilevsky |
| 2025 | Aligning Visual Contrastive learning models via Preference Optimization. | Amirabbas Afzali, Borna Khodabandeh, Ali Rasekh, Mahyar JafariNodeh, Sepehr Kazemi Ranjbar, Simon Gottschalk |
| 2025 | Measuring Non-Adversarial Reproduction of Training Data in Large Language Models. | Michael Aerni, Javier Rando, Edoardo Debenedetti, Nicholas Carlini, Daphne Ippolito, Florian Tramr |
| 2025 | The Computational Complexity of Circuit Discovery for Inner Interpretability. | Federico Adolfi, Martina G. Vilas, Todd Wareham |
| 2025 | Optimizing Posterior Samples for Bayesian Optimization via Rootfinding. | Taiwo A. Adebiyi, Bach Do, Ruda Zhang |
| 2025 | Does Safety Training of LLMs Generalize to Semantically Related Natural Prompts? | Sravanti Addepalli, Yerram Varun, Arun Suggala, Karthikeyan Shanmugam, Prateek Jain |
3,401–3,425 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)