Geoffrey Hinton
Geoffrey Hinton
Emeritus Prof. Comp Sci, U.Toronto & Engineering Fellow, Google
Verified email at cs.toronto.edu - Homepage
Title
Cited by
Cited by
Year
Imagenet classification with deep convolutional neural networks
A Krizhevsky, I Sutskever, GE Hinton
Communications of the ACM 60 (6), 84-90, 2017
744682017
Deep learning
Y LeCun, Y Bengio, G Hinton
Nature 521 (7553), 436-444, 2015
327272015
Learning internal representations by error-propagation
DE Rumelhart, GE Hinton, RJ Williams
Parallel Distributed Processing: Explorations in the Microstructure of …, 1986
273111986
Learning internal representations by error propagation
DE Rumelhart, GE Hinton, RJ Wlliams
Learning internal representations by error propagation, 1986
270081986
Learning internal representations by error propagation
DE Rumelhart, GE Hinton, RJ Williams
MIT Press, Cambridge, MA 1 (318), 1986
269531986
Dropout: a simple way to prevent neural networks from overfitting
N Srivastava, G Hinton, A Krizhevsky, I Sutskever, R Salakhutdinov
The journal of machine learning research 15 (1), 1929-1958, 2014
242082014
Learning representations by back-propagating errors
DE Rumelhart, GE Hinton, RJ Williams
Nature 323 (6088), 533-536, 1986
232561986
Visualizing data using t-SNE
L van der Maaten, G Hinton
Journal of Machine Learning Research 9 (Nov), 2579-2605, 2008
167572008
A fast learning algorithm for deep belief nets
GE Hinton, S Osindero, YW Teh
Neural computation 18 (7), 1527-1554, 2006
142592006
Reducing the dimensionality of data with neural networks
GE Hinton, RR Salakhutdinov
Science 313 (5786), 504-507, 2006
135552006
Rectified linear units improve restricted boltzmann machines
V Nair, GE Hinton
ICML, 2010
114252010
Learning multiple layers of features from tiny images
A Krizhevsky, G Hinton
93962009
Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups
G Hinton, L Deng, D Yu, GE Dahl, A Mohamed, N Jaitly, A Senior, ...
IEEE Signal processing magazine 29 (6), 82-97, 2012
88822012
Speech recognition with deep recurrent neural networks
A Graves, A Mohamed, G Hinton
2013 IEEE international conference on acoustics, speech and signal …, 2013
65952013
Improving neural networks by preventing co-adaptation of feature detectors
GE Hinton, N Srivastava, A Krizhevsky, I Sutskever, RR Salakhutdinov
arXiv preprint arXiv:1207.0580, 2012
57872012
Distilling the knowledge in a neural network
G Hinton, O Vinyals, J Dean
arXiv preprint arXiv:1503.02531, 2015
48462015
Training products of experts by minimizing contrastive divergence
GE Hinton
Neural computation 14 (8), 1771-1800, 2002
47582002
Adaptive mixtures of local experts
RA Jacobs, MI Jordan, SJ Nowlan, GE Hinton
Neural computation 3 (1), 79-87, 1991
43841991
Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude
T Tieleman, G Hinton
Coursera: Neural networks for machine learning, 2012
43602012
A learning algorithm for Boltzmann machines
DH Ackley, GE Hinton, TJ Sejnowski
Cognitive science 9 (1), 147-169, 1985
42931985
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