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International Conference on Machine Learning

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Academic conference in machine learning

International Conference on Machine Learning
Abbreviation	ICML
Discipline	Machine learning,artificial intelligence,feature learning
Publication details
History	1980–present
Frequency	Annual
Open access	yes (on openreview.net)
Website	https://icml.cc/

Machine learning anddata mining
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Paradigms Supervised learning Unsupervised learning Semi-supervised learning Self-supervised learning Reinforcement learning Meta-learning Online learning Batch learning Curriculum learning Rule-based learning Neuro-symbolic AI Neuromorphic engineering Quantum machine learning
Problems Classification Generative modeling Regression Clustering Dimensionality reduction Density estimation Anomaly detection Data cleaning AutoML Association rules Semantic analysis Structured prediction Feature engineering Feature learning Learning to rank Grammar induction Ontology learning Multimodal learning
Supervised learning (classification • regression) Apprenticeship learning Decision trees Ensembles Bagging Boosting Random forest k-NN Linear regression Naive Bayes Artificial neural networks Logistic regression Perceptron Relevance vector machine (RVM) Support vector machine (SVM)
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift
Dimensionality reduction Factor analysis CCA ICA LDA NMF PCA PGD t-SNE SDL
Structured prediction Graphical models Bayes net Conditional random field Hidden Markov
Anomaly detection RANSAC k-NN Local outlier factor Isolation forest
Neural networks Autoencoder Deep learning Feedforward neural network Recurrent neural network LSTM GRU ESN reservoir computing Boltzmann machine Restricted GAN Diffusion model SOM Convolutional neural network U-Net LeNet AlexNet DeepDream Neural field Neural radiance field Physics-informed neural networks Transformer Vision Mamba Spiking neural network Memtransistor Electrochemical RAM (ECRAM)
Reinforcement learning Q-learning Policy gradient SARSA Temporal difference (TD) Multi-agent Self-play
Learning with humans Active learning Crowdsourcing Human-in-the-loop Mechanistic interpretability RLHF
Model diagnostics Coefficient of determination Confusion matrix Learning curve ROC curve
Mathematical foundations Kernel machines Bias–variance tradeoff Computational learning theory Empirical risk minimization Occam learning PAC learning Statistical learning VC theory Topological deep learning
Journals and conferences AAAI ECML PKDD NeurIPS ICML ICLR IJCAI ML JMLR
Related articles Glossary of artificial intelligence List of datasets for machine-learning research List of datasets in computer vision and image processing Outline of machine learning
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TheInternational Conference on Machine Learning (ICML) is an internationalacademic conference inmachine learning held annually since 1980.^[1] It is the oldest and, along withNeurIPS andICLR, one of the three primary conferences of highest impact and reputation inmachine learning andartificial intelligence research.^[2] It is organized by theInternational Machine Learning Society (IMLS). Precise dates vary year to year, but paper submissions are generally due at the end of January, and the conference is generally held the following July.

History

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ICML began as theInternational Workshop on Machine Learning, first held atCarnegie Mellon University inPittsburgh in July 1980 and organized byJaime Carbonell,Ryszard S. Michalski, andTom M. Mitchell. In 1993 it transitioned to a full conference series under the current name, building on nearly a decade of workshops. Since the 2010s its proceedings have been published open-access in the Proceedings of Machine Learning Research (PMLR), which grew out ofJMLR’s Workshop & Conference Proceedings and was renamed PMLR in 2015.^[1]^[3]

ICML has published many important research papers that form the foundation of modern Artificial Intelligence. Some notable works includeLawrence Berkeley National Laboratory'sK-means clustering viaPCA (ICML 2004);Google'sBatch Normalization;Google Brain'sEfficientNet (ICML 2019);OpenAI'sCLIP (ICML 2021) and theUniversity of Berkeley'sSoft Actor-Critic (ICML 2018).

The number of submitted (and accepted) papers has sharply increased within 10 years; from 1037 (270) in 2015 to 12107 (3260) in 2025. Meanwhile, the acceptance rate continues to averages between 21 % (2020) and 30 % (2024).^[4] 2026 marked a new record with 24371 submitted papers, more than doubling the previous year.^[5]

Profile

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ICML’s scope spans the full breadth of machine learning, with particular emphasis on theoretical analysis, algorithmic innovation, and statistical learning. Compared to the other two big machine learning conferencesNeurIPS andICLR, ICML traditionally features more content onstatistical learning theory,reinforcement learning androbotics, andoptimization theory. Its annual proceedings are published in the open-access Proceedings of Machine Learning Research (PMLR).

ICML attracts sponsors seeking access to ML research and talent. Technology companies such asGoogle,Microsoft,Amazon,Meta,Apple are among sponsors, regularly publishing their research and recruiting researchers at the conference. Financial firms, such asCitadel Securities,Jane Street Capital andD.E. Shaw, also often have a presence at ICML.

Locations

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ICML 2026Seoul, South Korea^[6]
ICML 2025Vancouver, Canada
ICML 2024Vienna, Austria
ICML 2023Honolulu, United States
ICML 2022Baltimore, United States
ICML 2021Vienna, Austria (virtual conference)
ICML 2020Vienna, Austria (virtual conference)
ICML 2019Los Angeles, United States
ICML 2018Stockholm, Sweden
ICML 2017Sydney, Australia
ICML 2016New York City, United States
ICML 2015Lille, France
ICML 2014Beijing, China
ICML 2013Atlanta, United States
ICML 2012Edinburgh, United Kingdom
ICML 2011Bellevue, United States
ICML 2010Haifa, Israel
ICML 2009Montréal, Canada
ICML 2008Helsinki,Finland
ICML 2007Corvallis, United States
ICML 2006Pittsburgh, United States
ICML 2005Bonn, Germany
ICML 2004Banff, Canada
ICML 2003Washington DC, United States
ICML 2002Sydney, Australia
ICML 2001Williamstown, United States
ICML 2000Stanford, United States
ICML 1999Bled, Slovenia
ICML 1998Madison, United States
ICML 1997Nashville, United States
ICML 1996Bari, Italy
ICML 1995Tahoe City, United States
ICML 1994New Brunswick, United States
ICML 1993Amherst, United States
ICML 1992Aberdeen, United Kingdom
ICML 1991Evanston, United States
ICML 1990Austin, United States
ICML 1989Ithaca, United States
ICML 1988Ann Arbor, United States
ICML 1987Irvine, United States
ICML 1985Skytop, United States
ICML 1983Monticello, United States
ICML 1980Pittsburgh, United States

References

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^^a ^b"Past ICMLs Online Proceedings". University of Trier. Aktuálně.cz. 1 June 1980. Archived fromthe original on 2008-12-12. Retrieved31 January 2023.
^"Artificial Intelligence - Google Scholar Metrics". 2020-10-07. Archived fromthe original on 2020-10-07. Retrieved2020-10-07.
^"ICML 2008, Helsinki, Finland". University of Trier. 1 June 1980. Retrieved31 January 2023.
^"ICML Statistics - Paper Copilot". 2023-04-02. Retrieved2026-01-31.
^ICML [@icmlconf] (2026-01-29)."how many submissions made it over the finish line? Answer: 24371!" (Tweet). Retrieved2026-01-31 – viaTwitter.
^"Conferences Future Meetings".icml.cc. Retrieved2025-07-26.

External links

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icml.cc ICML website
machinelearning.org Website of the International Machine Learning Society

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