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The convolutional neural networks (CNNs) have proven to be a powerful tool for discriminative learning.
Backpropagation applied to handwritten zip code recognition
LeCun, Yann, Boser, Bernhard, Denker, John S, Henderson, Donnie, Howard, Richard E, Hubbard, Wayne, and Jackel, Lawrence D · 1989
Earlier work this paper cites.
Gradient-based learning applied to document recognition
LeCun, Yann, Bottou, Léon, Bengio, Yoshua, and Haffner, Patrick · 1998
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Training products of experts by minimizing contrastive divergence
Hinton, Geoffrey · 2002
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On discriminative vs. generative classifiers: A comparison of logistic regression and naive bayes
Jordan, A · 2002
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An asymptotic analysis of generative, discriminative, and pseudolikelihood estimators
Liang, Percy and Jordan, Michael I · 2008
Earlier work this paper cites.
Imagenet: A large-scale hierarchical image database
Deng, Jia, Dong, Wei, Socher, Richard, Li, Li-Jia, Li, Kai, and Fei-Fei, Li · 2009
Earlier work this paper cites.
Visualizing higher-layer features of a deep network
Erhan, Dumitru, Bengio, Yoshua, Courville, Aaron, and Vincent, Pascal · 2009
Earlier work this paper cites.
Fields of experts
Roth, Stefan and Black, Michael J · 2009
Cited alongside, same era.
Deep boltzmann machines
Salakhutdinov, Ruslan and Hinton, Geoffrey E · 2009
Cited alongside, same era.
Why does unsupervised pre-training help deep learning?
Erhan, Dumitru, Bengio, Yoshua, Courville, Aaron, Manzagol, Pierre-Antoine, Vincent, Pascal, and Bengio, Samy · 2010
Cited alongside, same era.
Mcmc using hamiltonian dynamics
Neal, Radford M · 2011
Cited alongside, same era.
Contractive auto-encoders: Explicit invariance during feature extraction
Rifai, Salah, Vincent, Pascal, Muller, Xavier, Glorot, Xavier, and Bengio, Yoshua · 2011
Cited alongside, same era.
Imagenet classification with deep convolutional neural networks
Krizhevsky, Alex, Sutskever, Ilya, and Hinton, Geoffrey E · 2012
Cited alongside, same era.
Building high-level features using large scale unsupervised learning
Le, Quoc V., Monga, Rajat, Devin, Matthieu, Chen, Kai, Corrado, Greg S., Dean, Jeff, and Ng, Andrew Y · 2012
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Visualizing and understanding convolutional neural networks
Zeiler, Matthew D and Fergus, Rob · 2013
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Rich feature hierarchies for accurate object detection and semantic segmentation
Girshick, Ross, Donahue, Jeff, Darrell, Trevor, and Malik, Jitendra · 2014
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Caffe: Convolutional architecture for fast feature embedding
Jia, Yangqing, Shelhamer, Evan, Donahue, Jeff, Karayev, Sergey, Long, Jonathan, Girshick, Ross, Guadarrama, Sergio, and Darrell, Trevor · 2014
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Do convnets learn correspondence?
Long, Jonathan L, Zhang, Ning, and Darrell, Trevor · 2014
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A fast learning algorithm for deep belief nets
Hinton, Geoffrey, Osindero, Simon, and Teh, Yee-Whye
Cited in the paper.
Unsupervised discovery of nonlinear structure using contrastive backpropagation
Hinton, Geoffrey, Osindero, Simon, Welling, Max, and Teh, Yee-Whye
Cited in the paper.
Deep inside convolutional networks: Visualising image classification models and saliency maps
Simonyan, Karen, Vedaldi, Andrea, and Zisserman, Andrew · 2014
Closest in time.