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FeTa: A DCA Pruning Algorithm with Generalization Error Guarantees

FeTa: A DCA Pruning Algorithm with Generalization Error Guarantees

12 March 2018
Konstantinos Pitas
Mike Davies
P. Vandergheynst
ArXivPDFHTML

Papers citing "FeTa: A DCA Pruning Algorithm with Generalization Error Guarantees"

8 / 8 papers shown
Title
A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for
  Neural Networks
A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks
Behnam Neyshabur
Srinadh Bhojanapalli
Nathan Srebro
80
606
0
29 Jul 2017
Spectrally-normalized margin bounds for neural networks
Spectrally-normalized margin bounds for neural networks
Peter L. Bartlett
Dylan J. Foster
Matus Telgarsky
ODL
199
1,217
0
26 Jun 2017
Bayesian Compression for Deep Learning
Bayesian Compression for Deep Learning
Christos Louizos
Karen Ullrich
Max Welling
UQCV
BDL
161
479
0
24 May 2017
Variational Dropout Sparsifies Deep Neural Networks
Variational Dropout Sparsifies Deep Neural Networks
Dmitry Molchanov
Arsenii Ashukha
Dmitry Vetrov
BDL
139
829
0
19 Jan 2017
Binarized Neural Networks
Itay Hubara
Daniel Soudry
Ran El-Yaniv
MQ
187
1,347
0
08 Feb 2016
Tensorizing Neural Networks
Tensorizing Neural Networks
Alexander Novikov
D. Podoprikhin
A. Osokin
Dmitry Vetrov
95
882
0
22 Sep 2015
Learning both Weights and Connections for Efficient Neural Networks
Learning both Weights and Connections for Efficient Neural Networks
Song Han
Jeff Pool
J. Tran
W. Dally
CVBM
310
6,672
0
08 Jun 2015
Deep Fried Convnets
Deep Fried Convnets
Zichao Yang
Marcin Moczulski
Misha Denil
Nando de Freitas
Alex Smola
Le Song
Ziyu Wang
97
267
0
22 Dec 2014
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