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Mixed Precision Training of Convolutional Neural Networks using Integer
  Operations

Mixed Precision Training of Convolutional Neural Networks using Integer Operations

3 February 2018
Dipankar Das
Naveen Mellempudi
Dheevatsa Mudigere
Dhiraj D. Kalamkar
Sasikanth Avancha
K. Banerjee
Srinivas Sridharan
K. Vaidyanathan
Bharat Kaul
E. Georganas
A. Heinecke
Pradeep Dubey
J. Corbal
N. Shustrov
R. Dubtsov
Evarist Fomenko
V. Pirogov
    MQ
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Papers citing "Mixed Precision Training of Convolutional Neural Networks using Integer Operations"

13 / 13 papers shown
Title
Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep
  Neural Networks
Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks
Urs Koster
T. Webb
Xin Eric Wang
Marcel Nassar
Arjun K. Bansal
...
Luke Hornof
A. Khosrowshahi
Carey Kloss
Ruby J. Pai
N. Rao
MQ
40
261
0
06 Nov 2017
Mixed Precision Training
Mixed Precision Training
Paulius Micikevicius
Sharan Narang
Jonah Alben
G. Diamos
Erich Elsen
...
Boris Ginsburg
Michael Houston
Oleksii Kuchaiev
Ganesh Venkatesh
Hao Wu
136
1,779
0
10 Oct 2017
Ternary Neural Networks with Fine-Grained Quantization
Ternary Neural Networks with Fine-Grained Quantization
Naveen Mellempudi
Abhisek Kundu
Dheevatsa Mudigere
Dipankar Das
Bharat Kaul
Pradeep Dubey
MQ
68
111
0
02 May 2017
Quantized Neural Networks: Training Neural Networks with Low Precision
  Weights and Activations
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations
Itay Hubara
Matthieu Courbariaux
Daniel Soudry
Ran El-Yaniv
Yoshua Bengio
MQ
101
1,859
0
22 Sep 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural
  Networks
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
Mohammad Rastegari
Vicente Ordonez
Joseph Redmon
Ali Farhadi
MQ
133
4,342
0
16 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.4K
192,638
0
10 Dec 2015
8-Bit Approximations for Parallelism in Deep Learning
8-Bit Approximations for Parallelism in Deep Learning
Tim Dettmers
54
176
0
14 Nov 2015
BinaryConnect: Training Deep Neural Networks with binary weights during
  propagations
BinaryConnect: Training Deep Neural Networks with binary weights during propagations
Matthieu Courbariaux
Yoshua Bengio
J. David
MQ
142
2,976
0
02 Nov 2015
Deep Learning with Limited Numerical Precision
Deep Learning with Limited Numerical Precision
Suyog Gupta
A. Agrawal
K. Gopalakrishnan
P. Narayanan
HAI
134
2,043
0
09 Feb 2015
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
333
43,511
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
954
99,991
0
04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.1K
39,383
0
01 Sep 2014
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
VLM
BDL
3DV
195
14,703
0
20 Jun 2014
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