Machine Learning

Machine learning is a subfield of artificial intelligence focused on the development of algorithms that learn patterns from training data and generalize these patterns to make accurate predictions or decisions on unseen data.

483K

Publications

36.4M

Citations

782.7K

Authors

30.6K

Institutions

Publications per year

2017–2026

315.2K

Variants

Parents

Computer ScienceData Science

Children

Active LearningAnomaly DetectionBayesian LearningClassificationContinual LearningDecision TreesDeep LearningDimensionality ReductionEnsemble LearningExplainable Machine Learning

Publications

483K

Deep Residual Learning for Image Recognition

Kaiming He, Xiangyu Zhang, Shaoqing Ren et al. · 2016 · 222.1K citations · Full text

Computing, Computer Science, Computer Vision +11

Long Short-Term Memory

Sepp Hochreiter, Jürgen Schmidhuber · Neural Computation · 1997 · 98.1K citations

Computing, Computer Science, Algorithms +16

Adam: A Method for Stochastic Optimization

Diederik P. Kingma, Jimmy Ba · UvA-DARE (University of Amsterdam) · 2014 · 84.8K citations · Full text

Computing, Computer Science, Algorithms +16

ImageNet classification with deep convolutional neural networks

Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton · Communications of the ACM · 2017 · 75.7K citations · Full text

Computing, Computer Science, Computer Vision +12

Very Deep Convolutional Networks for Large-Scale Image Recognition

Karen Simonyan, Andrew Zisserman · arXiv (Cornell University) · 2014 · 75.5K citations · Full text

Computing, Computer Science, Computer Vision +11

1–5 of 483K

Authors

782.7K

YB
Yoshua Bengio
Université de Montréal, Canada
511 publications · 245.4K citations
154
h-index
DT
Dacheng Tao
The University of Sydney, Australia
530 publications · 51.3K citations
116
h-index
GE
Geoffrey E. Hinton
University of Toronto, Canada
202 publications · 303.4K citations
112
h-index
MI
Michael I. Jordan
University of California, Berkeley, United States
295 publications · 73.6K citations
109
h-index
PS
Philip S. Yu
University of Illinois Chicago, United States
435 publications · 60.7K citations
108
h-index

1–5 of 782.7K

Institutions

30.6K

1–8 of 30.6K

Venues

arXiv (Cornell University)
Repository · 30.8K publications · 2.8M citations
577
h-index
IEEE Transactions on Pattern Analysis and Machine Intelligence
TPAMI · 2.8K publications · 729.2K citations
343
h-index
IEEE Access
10.1K publications · 621.7K citations
269
h-index
Proceedings of the AAAI Conference on Artificial Intelligence
Conference · 4.2K publications · 361.3K citations
244
h-index
Expert Systems with Applications
4.4K publications · 334.3K citations
237
h-index

1–5

See also Machine Learning
Core Methods	Supervised Learning Classification Semi-supervised Learning Transfer Learning Dimensionality Reduction Principal Component Analysis Support Vector Machines Unsupervised Learning Regression Markov Chains Reinforcement Learning Clustering Variational Methods In Partial Differential Equations
Applications	Machine Vision Natural Language Processing Speech Recognition Finance Marketing Fraud Detection Autonomous Vehicles Algorithmic Trading Computational Fluid Dynamics Recommendation Systems E-commerce Retailing Transportation
Evaluation	Cross-validation Residual Analysis Accuracy Precision Sensitivity Recall Elections Doose Syndrome
Limitations	Algorithmic Bias Spurious Correlation Overfitting Underfitting
Benchmarks	Generalized Likelihood Uncertainty Estimation