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Trained Ternary Quantization

Trained Ternary Quantization

4 December 2016
Chenzhuo Zhu
Song Han
Huizi Mao
W. Dally
    MQ
ArXivPDFHTML

Papers citing "Trained Ternary Quantization"

9 / 509 papers shown
Title
GXNOR-Net: Training deep neural networks with ternary weights and
  activations without full-precision memory under a unified discretization
  framework
GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization framework
Lei Deng
Peng Jiao
Jing Pei
Zhenzhi Wu
Guoqi Li
MQ
23
20
0
25 May 2017
Bayesian Compression for Deep Learning
Bayesian Compression for Deep Learning
Christos Louizos
Karen Ullrich
Max Welling
UQCV
BDL
15
479
0
24 May 2017
The High-Dimensional Geometry of Binary Neural Networks
The High-Dimensional Geometry of Binary Neural Networks
Alexander G. Anderson
C. P. Berg
MQ
27
75
0
19 May 2017
Espresso: Efficient Forward Propagation for BCNNs
Espresso: Efficient Forward Propagation for BCNNs
Fabrizio Pedersoli
George Tzanetakis
Andrea Tagliasacchi
MQ
13
13
0
19 May 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
11
111
0
02 May 2017
Towards thinner convolutional neural networks through Gradually Global
  Pruning
Towards thinner convolutional neural networks through Gradually Global Pruning
Z. Wang
Ce Zhu
Zhiqiang Xia
Qi Guo
Yipeng Liu
CVBM
9
4
0
29 Mar 2017
Efficient Processing of Deep Neural Networks: A Tutorial and Survey
Efficient Processing of Deep Neural Networks: A Tutorial and Survey
Vivienne Sze
Yu-hsin Chen
Tien-Ju Yang
J. Emer
AAML
3DV
36
2,988
0
27 Mar 2017
Mixed Low-precision Deep Learning Inference using Dynamic Fixed Point
Mixed Low-precision Deep Learning Inference using Dynamic Fixed Point
Naveen Mellempudi
Abhisek Kundu
Dipankar Das
Dheevatsa Mudigere
Bharat Kaul
MQ
27
30
0
31 Jan 2017
Quantization and Training of Low Bit-Width Convolutional Neural Networks
  for Object Detection
Quantization and Training of Low Bit-Width Convolutional Neural Networks for Object Detection
Penghang Yin
Shuai Zhang
Y. Qi
Jack Xin
MQ
54
41
0
19 Dec 2016
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