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Runtime Configurable Deep Neural Networks for Energy-Accuracy Trade-off
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Runtime Configurable Deep Neural Networks for Energy-Accuracy Trade-off

Hokchhay Tann
S. Hashemi
R. I. Bahar
Sherief Reda
ArXiv (abs)PDFHTML

Papers citing "Runtime Configurable Deep Neural Networks for Energy-Accuracy Trade-off"

4 / 4 papers shown
Title
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications
Vasileios Leon
Muhammad Abdullah Hanif
Giorgos Armeniakos
Xun Jiao
Mohamed Bennai
K. Pekmestzi
Dimitrios Soudris
84
3
0
20 Jul 2023
Hardware-Software Codesign of Accurate, Multiplier-free Deep Neural Networks
Hardware-Software Codesign of Accurate, Multiplier-free Deep Neural Networks
Hokchhay Tann
S. Hashemi
Iris Bahar
Sherief Reda
MQ
73
74
0
11 May 2017
Caffe: Convolutional Architecture for Fast Feature Embedding
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross B. Girshick
S. Guadarrama
Trevor Darrell
VLMBDL3DV
280
14,712
0
20 Jun 2014
Convolutional Neural Networks Applied to House Numbers Digit Classification
Convolutional Neural Networks Applied to House Numbers Digit Classification
P. Sermanet
Soumith Chintala
Yann LeCun
99
543
0
18 Apr 2012

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