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From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of
  Deep Neural Networks

From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks

9 May 2024
Xue Geng
Zhe Wang
Chunyun Chen
Qing Xu
Kaixin Xu
Chao Jin
Manas Gupta
Xulei Yang
Zhenghua Chen
M. Aly
Jie Lin
Min-man Wu
Xiaoli Li
ArXivPDFHTML

Papers citing "From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks"

6 / 106 papers shown
Title
FitNets: Hints for Thin Deep Nets
FitNets: Hints for Thin Deep Nets
Adriana Romero
Nicolas Ballas
Samira Ebrahimi Kahou
Antoine Chassang
C. Gatta
Yoshua Bengio
FedML
294
3,882
0
19 Dec 2014
Compressing Deep Convolutional Networks using Vector Quantization
Compressing Deep Convolutional Networks using Vector Quantization
Yunchao Gong
Liu Liu
Ming Yang
Lubomir D. Bourdev
MQ
144
1,170
0
18 Dec 2014
Efficient and Accurate Approximations of Nonlinear Convolutional
  Networks
Efficient and Accurate Approximations of Nonlinear Convolutional Networks
Xinming Zhang
Jianhua Zou
Xiang Ming
Kaiming He
Jian Sun
3DV
69
263
0
16 Nov 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
438
43,635
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,330
0
04 Sep 2014
Exploiting Linear Structure Within Convolutional Networks for Efficient
  Evaluation
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation
Emily L. Denton
Wojciech Zaremba
Joan Bruna
Yann LeCun
Rob Fergus
FAtt
177
1,689
0
02 Apr 2014
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