International Conference on Machine Learning
ICML
A*
CORE rank
CORE rank (raw)
A*
Acceptance rate
27.5% (2024)
Fields of research
Machine Learning
Papers indexed
17,065
1988–2025
Papers per year
19883,341 peak2025
Most published authors
ICML papers
17,065 records sourced from DBLP. Search titles, filter by year, sort by recency.
| Year | Title | Authors |
|---|---|---|
| 2025 | MiraGe: Editable 2D Images using Gaussian Splatting. | Joanna Waczynska, Tomasz Szczepanik, Piotr Borycki, Slawomir Konrad Tadeja, Thomas Bohn, Przemyslaw Spurek |
| 2025 | Topological Signatures of Adversaries in Multimodal Alignments. | Minh Nhat Vu, Geigh Zollicoffer, Huy Quang Mai, Ben Nebgen, Boian S. Alexandrov, Manish Bhattarai |
| 2025 | Trust-Region Twisted Policy Improvement. | Joery A. de Vries, Jinke He, Yaniv Oren, Matthijs T. J. Spaan |
| 2025 | Equivariant Polynomial Functional Networks. | Thieu Vo, Hoang V. Tran, Tho Tran Huu, An Nguyen The, Thanh Tran, Minh-Khoi Nguyen-Nhat, Duy-Tung Pham, Tan Minh Nguyen |
| 2025 | B-score: Detecting biases in large language models using response history. | An Vo, Mohammad Reza Taesiri, Daeyoung Kim, Anh Totti Nguyen |
| 2025 | Calibrated Value-Aware Model Learning with Probabilistic Environment Models. | Claas Voelcker, Anastasiia Pedan, Arash Ahmadian, Romina Abachi, Igor Gilitschenski, Amir-massoud Farahmand |
| 2025 | What Makes a Good Feedforward Computational Graph? | Alex Vitvitskyi, Joo Guilherme Madeira Arajo, Marc Lackenby, Petar Velickovic |
| 2025 | Prune 'n Predict: Optimizing LLM Decision-making with Conformal Prediction. | Harit Vishwakarma, Alan Mishler, Thomas Cook, Niccol Dalmasso, Natraj Raman, Sumitra Ganesh |
| 2025 | Rethinking Confidence Scores and Thresholds in Pseudolabeling-based SSL. | Harit Vishwakarma, Yi Chen, Satya Sai Srinath Namburi GNVV, Sui Jiet Tay, Ramya Korlakai Vinayak, Frederic Sala |
| 2025 | Computing Optimal Transport Maps and Wasserstein Barycenters Using Conditional Normalizing Flows. | Gabriele Visentin, Patrick Cheridito |
| 2025 | PlaySlot: Learning Inverse Latent Dynamics for Controllable Object-Centric Video Prediction and Planning. | Angel Villar-Corrales, Sven Behnke |
| 2025 | Flexibility-conditioned protein structure design with flow matching. | Vsevolod Viliuga, Leif Seute, Nicolas Wolf, Simon Wagner, Arne Elofsson, Jan Sthmer, Frauke Grter |
| 2025 | AUTOCIRCUIT-RL: Reinforcement Learning-Driven LLM for Automated Circuit Topology Generation. | Prashanth Vijayaraghavan, Luyao Shi, Ehsan Degan, Vandana V. Mukherjee, Xin Zhang |
| 2025 | Deep Sturm-Liouville: From Sample-Based to 1D Regularization with Learnable Orthogonal Basis Functions. | David Vigouroux, Joseba Dalmau, Louis Bthune, Victor Boutin |
| 2025 | IL-SOAR : Imitation Learning with Soft Optimistic Actor cRitic. | Stefano Viel, Luca Viano, Volkan Cevher |
| 2025 | From Language Models over Tokens to Language Models over Characters. | Tim Vieira, Benjamin LeBrun, Mario Giulianelli, Juan Luis Gastaldi, Brian DuSell, John Terilla, Timothy J. O'Donnell, Ryan Cotterell |
| 2025 | Language Models over Canonical Byte-Pair Encodings. | Tim Vieira, Tianyu Liu, Clemente Pasti, Yahya Emara, Brian DuSell, Benjamin LeBrun, Mario Giulianelli, Juan Luis Gastaldi, Timothy J. O'Donnell, Ryan Cotterell |
| 2025 | BaxBench: Can LLMs Generate Correct and Secure Backends? | Mark Vero, Niels Mndler, Victor Chibotaru, Veselin Raychev, Maximilian Baader, Nikola Jovanovic, Jingxuan He, Martin T. Vechev |
| 2025 | Positional Encoding meets Persistent Homology on Graphs. | Yogesh Verma, Amauri H. Souza, Vikas K. Garg |
| 2025 | GRAIL: Graph Edit Distance and Node Alignment using LLM-Generated Code. | Samidha Verma, Arushi Goyal, Ananya Mathur, Ankit Anand, Sayan Ranu |
| 2025 | Improving Diversity in Language Models: When Temperature Fails, Change the Loss. | Alexandre Verine, Florian Le Bronnec, Kunhao Zheng, Alexandre Allauzen, Yann Chevaleyre, Benjamin Ngrevergne |
| 2025 | Automated Benchmark Generation for Repository-Level Coding Tasks. | Konstantinos Vergopoulos, Mark Niklas Mller, Martin T. Vechev |
| 2025 | Outsourced Diffusion Sampling: Efficient Posterior Inference in Latent Spaces of Generative Models. | Siddarth Venkatraman, Mohsin Hasan, Minsu Kim, Luca Scimeca, Marcin Sendera, Yoshua Bengio, Glen Berseth, Nikolay Malkin |
| 2025 | Softmax is not Enough (for Sharp Size Generalisation). | Petar Velickovic, Christos Perivolaropoulos, Federico Barbero, Razvan Pascanu |
| 2025 | PyTDC: A multimodal machine learning training, evaluation, and inference platform for biomedical foundation models. | Alejandro Velez-Arce, Marinka Zitnik |
701–725 of 17,065← PreviousNext →
Comparable venues
Other A*/A conferences filed under the same field of research.
- A*ICLRInternational Conference on Learning Representations
- 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)