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Improved Bayesian Compression

Improved Bayesian Compression

17 November 2017
Marco Federici
Karen Ullrich
Max Welling
    UQCV
    BDL
ArXivPDFHTML

Papers citing "Improved Bayesian Compression"

6 / 6 papers shown
Title
A Survey of Uncertainty in Deep Neural Networks
A Survey of Uncertainty in Deep Neural Networks
J. Gawlikowski
Cedrique Rovile Njieutcheu Tassi
Mohsin Ali
Jongseo Lee
Matthias Humt
...
R. Roscher
Muhammad Shahzad
Wen Yang
R. Bamler
Xiaoxiang Zhu
BDL
UQCV
OOD
66
1,115
0
07 Jul 2021
An Information-Theoretic Justification for Model Pruning
An Information-Theoretic Justification for Model Pruning
Berivan Isik
Tsachy Weissman
Albert No
95
35
0
16 Feb 2021
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
56
93
0
27 Jul 2019
Entropy-Constrained Training of Deep Neural Networks
Entropy-Constrained Training of Deep Neural Networks
Simon Wiedemann
Arturo Marbán
K. Müller
Wojciech Samek
27
27
0
18 Dec 2018
Rate Distortion For Model Compression: From Theory To Practice
Rate Distortion For Model Compression: From Theory To Practice
Weihao Gao
Yu-Han Liu
Chong-Jun Wang
Sewoong Oh
30
31
0
09 Oct 2018
Compact and Computationally Efficient Representation of Deep Neural
  Networks
Compact and Computationally Efficient Representation of Deep Neural Networks
Simon Wiedemann
K. Müller
Wojciech Samek
MQ
42
67
0
27 May 2018
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