Geoffrey E. Hinton
Affiliations: | Computer Science | University of Toronto, Toronto, ON, Canada |
Area:
machine learningWebsite:
http://www.cs.toronto.edu/~hinton/Google:
"Geoffrey Hinton"Mean distance: 13.07 (cluster 17) | S | N | B | C | P |
Cross-listing: Computer Science Tree
Parents
Sign in to add mentorHugh Christopher Longuet-Higgins | grad student | 1972-1975 | Edinburgh University |
Don Norman | post-doc |
Children
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Publications
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Azizi S, Culp L, Freyberg J, et al. (2023) Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging. Nature Biomedical Engineering |
Lillicrap TP, Santoro A, Marris L, et al. (2020) Backpropagation and the brain. Nature Reviews. Neuroscience |
LeCun Y, Bengio Y, Hinton G. (2015) Deep learning. Nature. 521: 436-44 |
Ranzato M’, Hinton G, LeCun Y. (2015) Guest Editorial: Deep Learning International Journal of Computer Vision. 113: 1-2 |
Hinton G. (2014) Where do features come from? Cognitive Science. 38: 1078-1101 |
Sarikaya R, Hinton GE, Deoras A. (2014) Application of deep belief networks for natural language understanding Ieee Transactions On Audio, Speech and Language Processing. 22: 778-784 |
Srivastava N, Hinton G, Krizhevsky A, et al. (2014) Dropout: A simple way to prevent neural networks from overfitting Journal of Machine Learning Research. 15: 1929-1958 |
Ranzato M, Mnih V, Susskind JM, et al. (2013) Modeling natural images using gated MRFs. Ieee Transactions On Pattern Analysis and Machine Intelligence. 35: 2206-22 |
Ranzato M, Mnih V, Susskind JM, et al. (2013) Modeling Natural Images Using Gated MRFs. Ieee Transactions On Pattern Analysis and Machine Intelligence |
Graves A, Mohamed AR, Hinton G. (2013) Speech recognition with deep recurrent neural networks Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 6645-6649 |