Geoffrey E. Hinton - Concepedia

Author

Geoffrey E. Hinton

Also Known As

G E Hinton, G HINTON, G Hinton, G. E. Hinton, G. Hinton, G.E. HINTON, G.E. Hinton, GEOFFREY E. HINTON, GEOFFREY HINTON, Geoffrey E Hinton

380

Publications

442.2K

Citations

137

H-Index

292

Concepts

All Affiliations

University of Toronto Google (United States)Carnegie Mellon University University College London

About

Geoffrey E. Hinton is an author at University of Toronto specializing in engineering, machine learning, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	94	160	243.2K
2	Health Sciences	13	15	16.5K
3	Business	3	3	631
4	Arts	1	1	36
5	Education	1	1	41

Geoffrey E. Hinton

243

Publications

344K

Citations

125

H-Index

Page 1

	Year	Citations
ImageNet classification with deep convolutional neural networks Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton Communications of the ACM Convolutional Neural NetworkEngineeringMachine LearningNeural NetworkImagenet Classification	2017	75.5K
Visualizing Data using t-SNE Laurens van der Maaten, Geoffrey E. Hinton Journal of Machine Learning Research EngineeringData VisualizationData ExplorationVisualization (Data Visualization)Linear Embedding	2008	35.7K
Dropout: a simple way to prevent neural networks from overfitting Nitish Srivastava, Geoffrey E. Hinton, Alex Krizhevsky,	2014	34.2K
Learning representations by back-propagating errors David E. Rumelhart, Geoffrey E. Hinton, Ronald J. Williams Nature EngineeringMachine LearningFeature LearningPattern RecognitionKnowledge Discovery	1986	29.7K
Reducing the Dimensionality of Data with Neural Networks Geoffrey E. Hinton, Ruslan Salakhutdinov Science	2006	20.5K
A Fast Learning Algorithm for Deep Belief Nets Geoffrey E. Hinton, Simon Osindero, Yee‐Whye Teh Neural Computation	2006	16.2K
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton, Oriol Vinyals arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningNeural NetworkAi Foundation	2015	13.9K
Rectified Linear Units Improve Restricted Boltzmann Machines Vinod Nair, Geoffrey E. Hinton International Conference on Machine Learning Convolutional Neural NetworkEngineeringMachine LearningAutoencodersRecurrent Neural Network	2010	13.2K
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups Geoffrey E. Hinton, Li Deng, Dong Yu, IEEE Signal Processing Magazine EngineeringMachine LearningAcoustic ModelingSpeech RecognitionData Science	2012	10.2K
Speech recognition with deep recurrent neural networks Alex Graves, Abdelrahman Mohamed, Geoffrey E. Hinton Natural Language ProcessingDeep Neural NetworksRnn PerformanceMachine LearningEngineering	2013	8.7K

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