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 | Rectifying Conformity Scores for Better Conditional Coverage. | Vincent Plassier, Alexander Fishkov, Victor Dheur, Mohsen Guizani, Souhaib Ben Taieb, Maxim Panov, Eric Moulines |
| 2025 | Do Bayesian Neural Networks Actually Behave Like Bayesian Models? | Gbor Pituk, Vik Shirvaikar, Tom Rainforth |
| 2025 | Constrained Belief Updates Explain Geometric Structures in Transformer Representations. | Mateusz Piotrowski, Paul M. Riechers, Daniel Filan, Adam S. Shai |
| 2025 | Accelerating Linear Recurrent Neural Networks for the Edge with Unstructured Sparsity. | Alessandro Pierro, Steven Abreu, Jonathan Timcheck, Philipp Stratmann, Andreas Wild, Sumit Bam Shrestha |
| 2025 | Diffusion models for Gaussian distributions: Exact solutions and Wasserstein errors. | mile Pierret, Bruno Galerne |
| 2025 | Privacy Amplification Through Synthetic Data: Insights from Linear Regression. | Clment Pierquin, Aurlien Bellet, Marc Tommasi, Matthieu Boussard |
| 2025 | Revisiting Unbiased Implicit Variational Inference. | Tobias Pielok, Bernd Bischl, David Rgamer |
| 2025 | Conditioning Diffusions Using Malliavin Calculus. | Jakiw Pidstrigach, Elizabeth Louise Baker, Carles Domingo-Enrich, George Deligiannidis, Nikolas Nsken |
| 2025 | Position: Explainable AI Cannot Advance Without Better User Studies. | Matej Piculin, Bernarda Petek, Irena Ograjensek, Erik Strumbelj |
| 2025 | Promoting Ensemble Diversity with Interactive Bayesian Distributional Robustness for Fine-tuning Foundation Models. | Ngoc-Quan Pham, Tuan Truong, Quyen Tran, Tan Minh Nguyen, Dinh Phung, Trung Le |
| 2025 | Discrete Markov Probabilistic Models: An Improved Discrete Score-Based Framework with sharp convergence bounds under minimal assumptions. | Le-Tuyet-Nhi Pham, Dario Shariatian, Antonio Ocello, Giovanni Conforti, Alain Oliviero Durmus |
| 2025 | Gandalf the Red: Adaptive Security for LLMs. | Niklas Pfister, Vclav Volhejn, Manuel Knott, Santiago Arias, Julia Bazinska, Mykhailo Bichurin, Alan Y. Commike, Janet Darling, Peter Dienes, Matthew Fiedler, David Haber, Matthias Kraft, Marco Lancini, Max Mathys, Damin Pascual-Ortiz, Jakub Podolak, Adri Romero-Lpez, Kyriacos Shiarlis, Andreas Signer, Zsolt Terek, Athanasios Theocharis, Daniel Timbrell, Samuel Trautwein, Samuel Watts, Yun-Han Wu, Mateo Rojas-Carulla |
| 2025 | Wasserstein Policy Optimization. | David Pfau, Ian Davies, Diana L. Borsa, Joo Guilherme Madeira Arajo, Brendan D. Tracey, Hado van Hasselt |
| 2025 | Hierarchical Planning for Complex Tasks with Knowledge Graph-RAG and Symbolic Verification. | Flavio Petruzzellis, Cristina Cornelio, Pietro Lio |
| 2025 | Training Deep Learning Models with Norm-Constrained LMOs. | Thomas Pethick, Wanyun Xie, Kimon Antonakopoulos, Zhenyu Zhu, Antonio Silveti-Falls, Volkan Cevher |
| 2025 | Partition First, Embed Later: Laplacian-Based Feature Partitioning for Refined Embedding and Visualization of High-Dimensional Data. | Erez Peterfreund, Ofir Lindenbaum, Yuval Kluger, Boris Landa |
| 2025 | Adjusting Model Size in Continual Gaussian Processes: How Big is Big Enough? | Guiomar Pescador-Barrios, Sarah Filippi, Mark van der Wilk |
| 2025 | Mechanistic PDE Networks for Discovery of Governing Equations. | Adeel Pervez, Efstratios Gavves, Francesco Locatello |
| 2025 | Revisiting the Predictability of Performative, Social Events. | Juan Carlos Perdomo |
| 2025 | Noise Conditional Variational Score Distillation. | Xinyu Peng, Ziyang Zheng, Yaoming Wang, Han Li, Nuowen Kan, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong |
| 2025 | Circumventing Backdoor Space via Weight Symmetry. | Jie Peng, Hongwei Yang, Jing Zhao, Hengji Dong, Hui He, Weizhe Zhang, Haoyu He |
| 2025 | CAT: Contrastive Adversarial Training for Evaluating the Robustness of Protective Perturbations in Latent Diffusion Models. | Sen Peng, Mingyue Wang, Jianfei He, Jijia Yang, Xiaohua Jia |
| 2025 | A Near Linear Query Lower Bound for Submodular Maximization. | Binghui Peng, Aviad Rubinstein |
| 2025 | KGMark: A Diffusion Watermark for Knowledge Graphs. | Hongrui Peng, Haolang Lu, Yuanlong Yu, Weiye Fu, Kun Wang, Guoshun Nan |
| 2025 | Conformal Prediction with Cellwise Outliers: A Detect-then-Impute Approach. | Qian Peng, Yajie Bao, Haojie Ren, Zhaojun Wang, Changliang Zou |
1,176–1,200 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)