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Deep neural network algorithms are difficult to analyze because they lack structure allowing to understand the properties of underlying transforms and invariants.
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
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Convolutional deep belief networks on cifar-10
Krizhevsky, Alex and Hinton, G · 2010
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Convolutional networks and applications in vision
LeCun, Yann, Kavukcuoglu, Koray, and Farabet, Clément · 2010
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Imagenet classification with deep convolutional neural networks
Krizhevsky, Alex, Sutskever, Ilya, and Hinton, Geoffrey E · 2012
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Exploiting linear structure within convolutional networks for efficient evaluation
Denton, Emily L, Zaremba, Wojciech, Bruna, Joan, LeCun, Yann, and Fergus, Rob · 2014
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Qualitatively characterizing neural network optimization problems
Goodfellow, Ian J, Vinyals, Oriol, and Saxe, Andrew M · 2014
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Speeding up convolutional neural networks with low rank expansions
Jaderberg, Max, Vedaldi, Andrea, and Zisserman, Andrew · 2014
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Fitnets: Hints for thin deep nets
Romero, Adriana, Ballas, Nicolas, Kahou, Samira Ebrahimi, Chassang, Antoine, Gatta, Carlo, and Bengio, Yoshua · 2014
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Striving for simplicity: The all convolutional net
Springenberg, Jost Tobias, Dosovitskiy, Alexey, Brox, Thomas, and Riedmiller, Martin · 2014
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Visualizing and understanding convolutional networks
Zeiler, Matthew D and Fergus, Rob · 2014
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An exploration of parameter redundancy in deep networks with circulant projections
Cheng, Yu, Yu, Felix X, Feris, Rogerio S, Kumar, Sanjiv, Choudhary, Alok, and Chang, Shi-Fu · 2015
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Fast and accurate deep network learning by exponential linear units (elus)
Clevert, Djork-Arné, Unterthiner, Thomas, and Hochreiter, Sepp · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
Ha, David, Dai, Andrew, and Le, Quoc V · 2016
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Deep residual learning for image recognition
He, Kaiming, Zhang, Xiangyu, Ren, Shaoqing, and Sun, Jian · 2016
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Densely connected convolutional networks
Huang, Gao, Liu, Zhuang, Weinberger, Kilian Q, and van der Maaten, Laurens · 2016
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Structured receptive fields in cnns
Jacobsen, Jorn-Henrik, van Gemert, Jan, Lou, Zhongyu, and Smeulders, Arnold WM · 2016
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Learning compact recurrent neural networks
Lu, Zhiyun, Sindhwani, Vikas, and Sainath, Tara N · 2016
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Understanding deep convolutional networks
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Ioffe, Sergey and Szegedy, Christian · 2015
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Deep learning
LeCun, Yann, Bengio, Yoshua, and Hinton, Geoffrey · 2015
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Deep roto-translation scattering for object classification
Oyallon, Edouard and Mallat, Stéphane · 2015
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Deep tensor convolution on multicores
Budden, David, Matveev, Alexander, Santurkar, Shibani, Chaudhuri, Shraman Ray, and Shavit, Nir · 2016
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Mallat, Stéphane · 2016
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Zagoruyko, Sergey and Komodakis, Nikos · 2016
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