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Traditional convolutional neural networks (CNN) are stationary and feedforward.
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Flexible, high performance convolutional neural networks for image classification
D. C. Ciresan, U. Meier, J. Masci, L. M. Gambardella, and J. Schmidhuber · 2011
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Multi-column deep neural networks for image classification
D. C. Ciresan, U. Meier, and J. Schmidhuber · 2012
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Top-down facilitation of visual recognition
Moshe Bar, Karim S Kassam, Avniel Singh Ghuman, Jasmine Boshyan, Annette M Schmid, Anders M Dale, MS Hämäläinen, Ksenija Marinkovic, DL Schacter, BR Rosen, et al · 2006
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Unsupervised learning of invariant feature hierarchies with applications to object recognition
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Visual salience
L. Itti · 2007
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Brain states: top-down influences in sensory processing
Charles D Gilbert and Mariano Sigman · 2007
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Natural evolution strategies
D. Wierstra, T. Schaul, J. Peters, and J. Schmidhuber · 2008
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Learning multiple layers of features from tiny images
A. Krizhevsky · 2009
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Alex Krizhevsky, I Sutskever, and G. E Hinton · 2012
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Building high-level features using large scale unsupervised learning
Quoc Le, Marc’Aurelio Ranzato, Rajat Monga, Matthieu Devin, Kai Chen, Greg Corrado, Jeff Dean, and Andrew Ng · 2012
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Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E Hinton, Nitish Srivastava, Alex Krizhevsky, Ilya Sutskever, and Ruslan R Salakhutdinov · 2012
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Reinforcement learning based visual attention with application to face detection
Benjamin Goodrich and Itamar Arel · 2012
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Regularization of neural networks using dropconnect
Li Wan, Matthew Zeiler, Sixin Zhang, Yann L Cun, and Rob Fergus · 2013
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Maxout networks
Ian J. Goodfellow, David Warde-Farley, Mehdi Mirza, Aaron Courville, and Yoshua Bengio · 2013
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Mitosis detection in breast cancer histology images with deep neural networks
Dan Claudiu Ciresan, Alessandro Giusti, Luca Maria Gambardella, and Jürgen Schmidhuber · 2013
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Learning hierarchical features for scene labeling
Clément Farabet, Camille Couprie, Laurent Najman, and Yann LeCun · 2013
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Deep inside convolutional networks: Visualising image classification models and saliency maps
Karen Simonyan, Andrea Vedaldi, and Andrew Zisserman · 2013
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Compete to compute
Rupesh Kumar Srivastava, Jonathan Masci, Sohrob Kazerounian, Faustino Gomez, and Jürgen Schmidhuber · 2013
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Recurrent processing during object recognition
Randall C O’Reilly, Dean Wyatte, Seth Herd, Brian Mingus, and David J Jilk · 2013
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Deep learning in neural networks: An overview
J. Schmidhuber · 2014
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