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
Learning internal representations by error-propagation
DE Rumelhart, GE Hinton, RJ Williams
Parallel Distributed Processing: Explorations in the Microstructure of …, 1986
65524*1986
Imagenet classification with deep convolutional neural networks
A Krizhevsky, I Sutskever, GE Hinton
Advances in neural information processing systems, 1097-1105, 2012
593542012
Learning representations by back-propagating errors
DE Rumelhart, GE Hinton, RJ Williams
Nature 323, 533-536, 1986
44838*1986
Learning internal representations by error propagation
DE Rumelhart, GE Hinton, RJ Williams
CALIFORNIA UNIV SAN DIEGO LA JOLLA INST FOR, 1985
254331985
Deep learning
Y LeCun, Y Bengio, G Hinton
nature 521 (7553), 436-444, 2015
240832015
Learning representations by back-propagating errors
DE Rumelhart, GE Hinton, RJ Williams
nature 323 (6088), 533-536, 1986
204251986
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
185942014
A fast learning algorithm for deep belief nets
GE Hinton, S Osindero, YW Teh
Neural computation 18 (7), 1527-1554, 2006
126282006
Visualizing data using t-SNE
L van der Maaten, G Hinton
Journal of Machine Learning Research 9 (Nov), 2579-2605, 2008
124022008
Reducing the dimensionality of data with neural networks
GE Hinton, RR Salakhutdinov
science 313 (5786), 504-507, 2006
117572006
Rectified linear units improve restricted boltzmann machines
V Nair, GE Hinton
Proceedings of the 27th international conference on machine learning (ICML …, 2010
88452010
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
75262012
Learning multiple layers of features from tiny images
A Krizhevsky, G Hinton
67852009
Speech recognition with deep recurrent neural networks
A Graves, A Mohamed, G Hinton
2013 IEEE international conference on acoustics, speech and signal …, 2013
53162013
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
47952012
Training products of experts by minimizing contrastive divergence
GE Hinton
Neural computation 14 (8), 1771-1800, 2002
43472002
Adaptive mixtures of local experts
RA Jacobs, MI Jordan, SJ Nowlan, GE Hinton
Neural computation 3 (1), 79-87, 1991
41691991
A learning algorithm for Boltzmann machines
DH Ackley, GE Hinton, TJ Sejnowski
Cognitive science 9 (1), 147-169, 1985
40961985
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 4 (2), 26-31, 2012
32442012
Distilling the knowledge in a neural network
G Hinton, O Vinyals, J Dean
arXiv preprint arXiv:1503.02531, 2015
31142015
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Articles 1–20