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How to develop slim and accurate deep neural networks has become crucial for real- world applications, especially for those employed in embedded systems.
Linear systems
Thomas Kailath · 1980
Earlier work this paper cites.
Optimal brain damage
Yann LeCun, John S Denker, Sara A Solla, Richard E Howard, and Lawrence D Jackel · 1989
Earlier work this paper cites.
Pruning algorithms-a survey
Russell Reed · 1993
Earlier work this paper cites.
Second order derivatives for network pruning: Optimal brain surgeon
Babak Hassibi, David G Stork, et al · 1993
Earlier work this paper cites.
Convex analysis. princeton landmarks in mathematics, 1997
R Tyrrell Rockafellar · 1997
Earlier work this paper cites.
Gradient-based learning applied to document recognition
Yann LeCun, Léon Bottou, Yoshua Bengio, and Patrick Haffner · 1998
Earlier work this paper cites.
Learning multiple layers of features from tiny images
Alex Krizhevsky and Geoffrey Hinton · 2009
Earlier work this paper cites.
Deep sparse rectifier neural networks
Xavier Glorot, Antoine Bordes, and Yoshua Bengio · 2011
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
Earlier work this paper cites.
Predicting parameters in deep learning
Misha Denil, Babak Shakibi, Laurent Dinh, Nando de Freitas, et al · 2013
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Maxout networks
Ian J Goodfellow, David Warde-Farley, Mehdi Mirza, Aaron C Courville, and Yoshua Bengio · 2013
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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Compressing deep convolutional networks using vector quantization
Yunchao Gong, Liu Liu, Ming Yang, and Lubomir Bourdev · 2014
Cited alongside, same era.
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Yann LeCun, Yoshua Bengio, and Geoffrey Hinton · 2015
Cited alongside, same era.
Learning both weights and connections for efficient neural network
Sparsifying neural network connections for face recognition
Yi Sun, Xiaogang Wang, and Xiaoou Tang · 2016
Later among the works it cites.
Dynamic network surgery for efficient dnns
Yiwen Guo, Anbang Yao, and Yurong Chen · 2016
Later among the works it cites.
Network trimming: A data-driven neuron pruning approach towards efficient deep architectures
Hengyuan Hu, Rui Peng, Yu-Wing Tai, and Chi-Keung Tang · 2016
Later among the works it cites.
Pruning filters for efficient convnets
Hao Li, Asim Kadav, Igor Durdanovic, Hanan Samet, and Hans Peter Graf · 2016
Later among the works it cites.
Training skinny deep neural networks with iterative hard thresholding methods
Xiaojie Jin, Xiaotong Yuan, Jiashi Feng, and Shuicheng Yan · 2016
Later among the works it cites.
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Convolutional neural networks with low-rank regularization
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Cited alongside, same era.
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Baoyuan Liu, Min Wang, Hassan Foroosh, Marshall Tappen, and Marianna Pensky · 2015
Cited alongside, same era.
Net-trim: A layer-wise convex pruning of deep neural networks
Nguyen N. Aghasi, A. and J. Romberg · 2016
Cited alongside, same era.
Tensorflow: Large-scale machine learning on heterogeneous distributed systems
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, et al · 2016
Later among the works it cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Later among the works it cites.
Ultrastructural evidence for synaptic scaling across the wake/sleep cycle
Luisa de Vivo, Michele Bellesi, William Marshall, Eric A Bushong, Mark H Ellisman, Giulio Tononi, and Chiara Cirelli · 2017
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