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AUTOSPARSE: Towards Automated Sparse Training of Deep Neural Networks

AUTOSPARSE: Towards Automated Sparse Training of Deep Neural Networks

14 April 2023
Abhisek Kundu
Naveen Mellempudi
Dharma Teja Vooturi
Bharat Kaul
Pradeep Dubey
ArXivPDFHTML

Papers citing "AUTOSPARSE: Towards Automated Sparse Training of Deep Neural Networks"

3 / 3 papers shown
Title
Powerpropagation: A sparsity inducing weight reparameterisation
Powerpropagation: A sparsity inducing weight reparameterisation
Jonathan Richard Schwarz
Siddhant M. Jayakumar
Razvan Pascanu
P. Latham
Yee Whye Teh
98
54
0
01 Oct 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference
  and training in neural networks
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks
Torsten Hoefler
Dan Alistarh
Tal Ben-Nun
Nikoli Dryden
Alexandra Peste
MQ
153
685
0
31 Jan 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,613
0
17 Apr 2017
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