Very Efficient Training of Convolutional Neural Networks using Fast Fourier Transform and Overlap-and-Add

Discrete-time signal processing , volume 2

Alan V Oppenheim, Ronald W Schafer, John R Buck, et al · 1989

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Convolutional networks for images, speech, and time series

Yann LeCun and Yoshua Bengio · 1995

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Fftw: An adaptive software architecture for the FFT

Matteo Frigo and Steven G Johnson · 1998

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Imagenet: A large-scale hierarchical image database

Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009

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Learning multiple layers of features from tiny images

Alex Krizhevsky and Geoffrey Hinton · 2009

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Mnist handwritten digit database

Yann LeCun and Corinna Cortes · 2010

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Cufft library

CUDA Nvidia · 2010

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Imagenet classification with deep convolutional neural networks

Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012

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Caffe: Convolutional architecture for fast feature embedding

Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross Girshick, Sergio Guadarrama, and Trevor Darrell · 2014

Cited alongside, same era.

Fast training of convolutional networks through FFTs

Michael Mathieu, Mikael Henaff, and Yann LeCun · 2014

Later among the works it cites.

Overfeat: Integrated recognition, localization and detection using convolutional networks

Pierre Sermanet, David Eigen, Xiang Zhang, Michael Mathieu, Rob Fergus, and Yann LeCun · 2014

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Going deeper with convolutions

Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich · 2015

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Fast convolutional nets with fbfft: A gpu performance evaluation

Nicolas Vasilache, Jeff Johnson, Michael Mathieu, Soumith Chintala, Serkan Piantino, and Yann LeCun · 2015

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