עקוב אחר
Geoffrey Hinton
Geoffrey Hinton
Emeritus Prof. Computer Science, University of Toronto
כתובת אימייל מאומתת בדומיין cs.toronto.edu - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
Imagenet classification with deep convolutional neural networks‏
A Krizhevsky, I Sutskever, GE Hinton‏
Advances in neural information processing systems 25, 2012‏
163283*2012
Deep learning‏
Y LeCun, Y Bengio, G Hinton‏
Nature 521 (7553), 436-44, 2015‏
848092015
Learning internal representations by error-propagation‏
DE Rumelhart, GE Hinton, RJ Williams‏
Parallel Distributed Processing: Explorations in the Microstructure of …, 1986‏
54970*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
528782014
Visualizing data using t-SNE‏
L van der Maaten, G Hinton‏
Journal of Machine Learning Research 9 (Nov), 2579-2605, 2008‏
477552008
Learning representations by back-propagating errors‏
DE Rumelhart, GE Hinton, RJ Williams‏
Nature 323 (6088), 533-536, 1986‏
396411986
Learning multiple layers of features from tiny images‏
A Krizhevsky, G Hinton‏
319962009
Rectified linear units improve restricted boltzmann machines‏
V Nair, GE Hinton‏
Proceedings of the 27th international conference on machine learning (ICML …, 2010‏
258412010
Reducing the dimensionality of data with neural networks‏
GE Hinton, RR Salakhutdinov‏
Science 313 (5786), 504-507, 2006‏
235572006
A fast learning algorithm for deep belief nets‏
GE Hinton, S Osindero, YW Teh‏
Neural computation 18 (7), 1527-1554, 2006‏
216362006
Distilling the Knowledge in a Neural Network‏
G Hinton‏
arXiv preprint arXiv:1503.02531, 2015‏
213562015
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
194512020
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
138962012
Layer normalization‏
JL Ba‏
arXiv preprint arXiv:1607.06450, 2016‏
126842016
Speech recognition with deep recurrent neural networks‏
A Graves, A Mohamed, G Hinton‏
2013 IEEE international conference on acoustics, speech and signal …, 2013‏
117192013
Improving neural networks by preventing co-adaptation of feature detectors‏
GE Hinton‏
arXiv preprint arXiv:1207.0580, 2012‏
116012012
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
80572012
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
6852*1986
Training products of experts by minimizing contrastive divergence‏
GE Hinton‏
Neural computation 14 (8), 1771-1800, 2002‏
65642002
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
64402013
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מאמרים 1–20