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Reducing the Model Order of Deep Neural Networks Using Information
  Theory

Reducing the Model Order of Deep Neural Networks Using Information Theory

16 May 2016
Ming Tu
Visar Berisha
Yu Cao
Jae-sun Seo
ArXivPDFHTML

Papers citing "Reducing the Model Order of Deep Neural Networks Using Information Theory"

3 / 3 papers shown
Title
DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks
DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks
Simon Wiedemann
H. Kirchhoffer
Stefan Matlage
Paul Haase
Arturo Marbán
...
Ahmed Osman
D. Marpe
H. Schwarz
Thomas Wiegand
Wojciech Samek
31
92
0
27 Jul 2019
Dimensionality compression and expansion in Deep Neural Networks
Dimensionality compression and expansion in Deep Neural Networks
Stefano Recanatesi
M. Farrell
Madhu S. Advani
Timothy Moore
Guillaume Lajoie
E. Shea-Brown
13
72
0
02 Jun 2019
BitNet: Bit-Regularized Deep Neural Networks
BitNet: Bit-Regularized Deep Neural Networks
Aswin Raghavan
Mohamed R. Amer
S. Chai
Graham Taylor
MQ
22
10
0
16 Aug 2017
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