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Rethinking Numerical Representations for Deep Neural Networks

Rethinking Numerical Representations for Deep Neural Networks

Parker Hill
Babak Zamirai
Shengshuo Lu
Yu-Wei Chao
M. Laurenzano
M. Samadi
M. Papaefthymiou
S. Mahlke
T. Wenisch
Jia Deng
Lingjia Tang
Jason Mars
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Papers citing "Rethinking Numerical Representations for Deep Neural Networks"

4 / 4 papers shown
Title
Constrained deep neural network architecture search for IoT devices accounting hardware calibration
Constrained deep neural network architecture search for IoT devices accounting hardware calibration
F. Scheidegger
Luca Benini
C. Bekas
A. Malossi
3DV
29
15
0
24 Sep 2019
Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges
Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges
Rob Ashmore
R. Calinescu
Colin Paterson
AI4TS
27
116
0
10 May 2019
Progressive Stochastic Binarization of Deep Networks
Progressive Stochastic Binarization of Deep Networks
David Hartmann
Michael Wand
MQ
17
1
0
03 Apr 2019
Computation Error Analysis of Block Floating Point Arithmetic Oriented Convolution Neural Network Accelerator Design
Computation Error Analysis of Block Floating Point Arithmetic Oriented Convolution Neural Network Accelerator Design
Zhourui Song
Zhenyu Liu
Dongsheng Wang
29
41
0
22 Sep 2017