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  1. World Encyclopedia
  2. International Conference on Learning Representations - Wikipedia
International Conference on Learning Representations - Wikipedia
From Wikipedia, the free encyclopedia
Academic conference in machine learning
International Conference on Learning Representations
AbbreviationICLR
DisciplineMachine learning, artificial intelligence, feature learning
Publication details
History2013–present
FrequencyAnnual
Open access
yes (on openreview.net)
Websitehttps://iclr.cc/
Part of a series on
Machine learning
and data mining
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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The International Conference on Learning Representations (ICLR) is a machine learning conference typically held in late April or early May each year. Along with NeurIPS and ICML, it is one of the three primary conferences of highest impact and reputation in machine learning and artificial intelligence research.[1]

The conference includes invited talks as well as oral and poster presentations of refereed papers. Since its inception in 2013, ICLR has employed an open peer review process to referee paper submissions (based on models proposed by Yann LeCun[2]). It was founded by LeCun and Yoshua Bengio in 2012.[3]

Editions

[edit]
Year Location Country No. of Participants[4] ...from No. of Countries No. of paper submissions[5] ...thereof accepted Acceptance rate
2026 Rio de Janeiro[6] Brazil ? 18,949 5,339 28.18%
2025 Singapore Singapore ? 11,672 3,704 31.73%
2024 Vienna Austria 6,533 79 7,304 2,260 30.94%
2023 Kigali Rwanda 3,758 73 4,955 1,575 31.79%
2022 (virtual conference) 5,200 81 3,422 1,095 32.00%
2021 Vienna[7] Austria (virtual conference) 6,300 64 3,014 860 28.53%
2020 Addis Ababa[8][9] Ethiopia (virtual conference) 5,600 76 2,594 687 26.48%
2019 New Orleans, Louisiana[10] United States 2,600 50 1,579 502 31.79%
2018 Vancouver Canada 1,950 38 1,013 337 33.27%
2017 Toulon France ? 490 198 40.41%
2016 San Juan, Puerto Rico United States ? ?
2015 San Diego, California United States ? ?
2014 Banff National Park Canada ? 69 69 100.00%
2013 Scottsdale, Arizona United States ? 67 23 34.33%

See also

[edit]
  • ICML
  • NeurIPS
  • AAAI Conference on Artificial Intelligence

References

[edit]
  1. ^ "Artificial Intelligence - Google Scholar Metrics". scholar.google.es. Retrieved 2024-07-10.
  2. ^ "Proposal for A New Publishing Model in Computer Science". yann.lecun.com.
  3. ^ Lipton, Zachary Chase. "The ICLR Experiment: Deep Learning Pioneers Take on Scientific Publishing". KDnuggets. Retrieved 2025-09-13.
  4. ^ "13th Annual International Conference on Learning Representations (ICLR). 2025 Fact Sheet" (PDF). ICLR. 2025. Retrieved 2026-01-31.
  5. ^ "ICLR Statistics - Paper Copilot". 2023-01-17. Retrieved 2026-01-31.
  6. ^ "Future Meetings". iclr.cc. Retrieved 2025-07-29.
  7. ^ "ICLR 2021 Conference". openreview.net.
  8. ^ "Major AI conference is moving to Africa in 2020 due to visa issues". 19 November 2018.
  9. ^ "Major AI conference is moving to Africa in 2020 due to visa issues". VentureBeat. 2018-11-19. Retrieved 2020-10-07.
  10. ^ "ICLR 2019 Conference". openreview.net.

External links

[edit]
  • Official website
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Differentiable computing
General
  • Differentiable programming
  • Information geometry
  • Statistical manifold
  • Automatic differentiation
  • Neuromorphic computing
  • Pattern recognition
  • Ricci calculus
  • Computational learning theory
  • Inductive bias
Hardware
  • IPU
  • TPU
  • VPU
  • Memristor
  • SpiNNaker
Software libraries
  • TensorFlow
  • PyTorch
  • Keras
  • scikit-learn
  • Theano
  • JAX
  • Flux.jl
  • MindSpore
  • Portals
    • Computer programming
    • Technology


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