Geoffrey E. Hinton

Vector Institute (CA)

Research Areas

Computer scienceArtificial intelligenceMachine learningMathematicsPsychologyPhilosophyStatisticsPhysics

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H-index

147

Publications

413

Citations

459664

i10-index

321

Publications & Citations Over Time

Top Cited Publications

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Title	Year	Citations
ImageNet Classification with Deep Convolutional Ne...	2012	68402
Deep learning	2015	67910
Visualizing Data using t-SNE	2008	35473
Dropout: a simple way to prevent neural networks f...	2014	33917
ImageNet classification with deep convolutional ne...	2017	33189
Learning representations by back-propagating error...	1986	26645
Reducing the Dimensionality of Data with Neural Ne...	2006	19205
A Fast Learning Algorithm for Deep Belief Nets	2006	15605
Distilling the Knowledge in a Neural Network	2015	13447
Rectified Linear Units Improve Restricted Boltzman...	2010	11779

Publications

1.
ImageNet Classification with Deep Convolutional Neural Networks
Year: 2012Citations: 68402
2.
Deep learning
Year: 2015Citations: 67910DOI: 10.1038/nature14539
3.
Visualizing Data using t-SNE
Year: 2008Citations: 35473
4.
Dropout: a simple way to prevent neural networks from overfitting
Year: 2014Citations: 33917
5.
ImageNet classification with deep convolutional neural networks
Year: 2017Citations: 33189DOI: 10.1145/3065386
6.
Learning representations by back-propagating errors
Year: 1986Citations: 26645DOI: 10.1038/323533a0
7.
Reducing the Dimensionality of Data with Neural Networks
Year: 2006Citations: 19205DOI: 10.1126/science.1127647
8.
A Fast Learning Algorithm for Deep Belief Nets
Year: 2006Citations: 15605DOI: 10.1162/neco.2006.18.7.1527
9.
Distilling the Knowledge in a Neural Network
Year: 2015Citations: 13447DOI: 10.48550/arxiv.1503.02531
10.
Rectified Linear Units Improve Restricted Boltzmann Machines
Year: 2010Citations: 11779

About Geoffrey E. Hinton

Geoffrey E. Hinton is a researcher with 413 publications and 459664 citations. They are affiliated with Vector Institute. Their research focuses on Computer science, Artificial intelligence, Machine learning and other areas. With an h-index of 147, they are among the top researchers in their field.

Citation Distribution

Distribution of citations across publications

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Research Area Breakdown

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Impact Metrics Over Time

Citations per publication by year