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Artificial neural networks are most commonly trained with the back-propagation algorithm, where the gradient for learning is provided by back-propagating the error, layer by layer, from the output layer to the hidden layers.
Optimal Perceptual Inference
Geoffrey E. Hinton and Terrence J. Sejnowski · 1983
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Learning internal representations by error propagation
R. J. Williams D. E. Rumelhart, G. E. Hinton · 1986
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Equivalence of backpropagation and contrastive hebbian learning in a layered network
Xiaohui Xie and H. Sebastian Seung · 2003
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A fast learning algorithm for deep belief nets
Geoffrey E. Hinton, Simon Osindero, and Yee Whye Teh · 2006
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Visualizing high-dimensional data using t-sne
L.J.P. van der Maaten and G.E. Hinton · 2008
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Deep boltzmann machines
Ruslan Salakhutdinov and Geoffrey E. Hinton · 2009
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Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude
T. Tieleman and G. Hinton · 2012
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Top-down influences on visual processing
Charles D Gilbert and Wu Li · 2013
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Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
Andrew M. Saxe, James L. McClelland, and Surya Ganguli · 2013
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Explaining and harnessing adversarial examples
Ian J. Goodfellow, Jonathon Shlens, and Christian Szegedy · 2014
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Random feedback weights support learning in deep neural networks
Timothy P. Lillicrap, Daniel Cownden, Douglas B. Tweed, and Colin J. Akerman · 2014
Cited alongside, same era.
Dropout: a simple way to prevent neural networks from overfitting
Nitish Srivastava, Geoffrey E. Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov · 2014
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Random walks: Training very deep nonlinear feed-forward networks with smart initialization
David Sussillo · 2014
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Towards biologically plausible deep learning
Yoshua Bengio, Dong-Hyun Lee, Jörg Bornschein, Thomas Mesnard, and Zhouhan Lin · 2015
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Difference target propagation
Dong-Hyun Lee, Saizheng Zhang, Asja Fischer, and Yoshua Bengio · 2015
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How important is weight symmetry in backpropagation?
Qianli Liao, Joel Z. Leibo, and Tomaso A. Poggio · 2015
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