Folgen
Geoffrey Hinton
Geoffrey Hinton
Emeritus Prof. Computer Science, University of Toronto
Bestätigte E-Mail-Adresse bei cs.toronto.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Imagenet classification with deep convolutional neural networks
A Krizhevsky, I Sutskever, GE Hinton
Advances in neural information processing systems 25, 2012
155399*2012
Deep learning
Y LeCun, Y Bengio, G Hinton
Nature 521 (7553), 436-44, 2015
774012015
Learning internal representations by error-propagation
DE Rumelhart, GE Hinton, RJ Williams
Parallel Distributed Processing: Explorations in the Microstructure of …, 1986
58292*1986
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
503712014
Visualizing data using t-SNE
L van der Maaten, G Hinton
Journal of Machine Learning Research 9 (Nov), 2579-2605, 2008
460922008
Learning representations by back-propagating errors
DE Rumelhart, GE Hinton, RJ Williams
Nature 323 (6088), 533-536, 1986
379231986
Learning multiple layers of features from tiny images
A Krizhevsky, G Hinton
294592009
Rectified linear units improve restricted boltzmann machines
V Nair, GE Hinton
Proceedings of the 27th international conference on machine learning (ICML …, 2010
247902010
Reducing the dimensionality of data with neural networks
GE Hinton, RR Salakhutdinov
Science 313 (5786), 504-507, 2006
226402006
A fast learning algorithm for deep belief nets
GE Hinton, S Osindero, YW Teh
Neural computation 18 (7), 1527-1554, 2006
212732006
Distilling the knowledge in a neural network
G Hinton, O Vinyals, J Dean
arXiv preprint arXiv:1503.02531, 2015
192672015
A simple framework for contrastive learning of visual representations
T Chen, S Kornblith, M Norouzi, G Hinton
International conference on machine learning, 1597-1607, 2020
167352020
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
132572012
Layer normalization
JL Ba, JR Kiros, GE Hinton
arXiv preprint arXiv:1607.06450, 2016
114652016
Speech recognition with deep recurrent neural networks
A Graves, A Mohamed, G Hinton
2013 IEEE international conference on acoustics, speech and signal …, 2013
113602013
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
111722012
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
77452012
Schemata and sequential thought processes in PDP models.
D Rumelhart, P Smolenksy, J McClelland, G Hinton
Parallel distributed processing: Explorations in the microstructure of …, 1986
7495*1986
Training products of experts by minimizing contrastive divergence
GE Hinton
Neural computation 14 (8), 1771-1800, 2002
64252002
On the importance of initialization and momentum in deep learning
I Sutskever, J Martens, G Dahl, G Hinton
International conference on machine learning, 1139-1147, 2013
61512013
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20