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ImageNet classification with deep convolutional neural networks
- A. Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton
- Computer ScienceCommun. ACM
- 3 December 2012
TLDR
Dropout: a simple way to prevent neural networks from overfitting
- Nitish Srivastava, Geoffrey E. Hinton, A. Krizhevsky, Ilya Sutskever, R. Salakhutdinov
- Computer ScienceJ. Mach. Learn. Res.
- 2014
TLDR
A Simple Framework for Contrastive Learning of Visual Representations
- Ting Chen, Simon Kornblith, Mohammad Norouzi, Geoffrey E. Hinton
- Computer ScienceICML
- 13 February 2020
TLDR
Distilling the Knowledge in a Neural Network
- Geoffrey E. Hinton, Oriol Vinyals, J. Dean
- Computer ScienceArXiv
- 9 March 2015
TLDR
A Fast Learning Algorithm for Deep Belief Nets
- Geoffrey E. Hinton, Simon Osindero, Y. Teh
- Computer ScienceNeural Computation
- 1 July 2006
TLDR
Reducing the Dimensionality of Data with Neural Networks
- Geoffrey E. Hinton, R. Salakhutdinov
- Computer ScienceScience
- 28 July 2006
TLDR
Rectified Linear Units Improve Restricted Boltzmann Machines
- Vinod Nair, Geoffrey E. Hinton
- Computer ScienceICML
- 21 June 2010
TLDR
Learning internal representations by error propagation
- D. Rumelhart, Geoffrey E. Hinton, Ronald J. Williams
- Biology
- 3 January 1986
Visualizing Data using t-SNE
- L. V. D. Maaten, Geoffrey E. Hinton
- Computer Science
- 2008
TLDR
Learning representations by back-propagating errors
- D. Rumelhart, Geoffrey E. Hinton, Ronald J. Williams
- Computer ScienceNature
- 1 October 1986
TLDR
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