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Quantization and Training of Neural Networks for Efficient
  Integer-Arithmetic-Only Inference

Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference

15 December 2017
Benoit Jacob
S. Kligys
Bo Chen
Menglong Zhu
Matthew Tang
Andrew G. Howard
Hartwig Adam
Dmitry Kalenichenko
    MQ
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Papers citing "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"

5 / 1,255 papers shown
Title
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile
  Applications
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications
Tien-Ju Yang
Andrew G. Howard
Bo Chen
Xiao Zhang
Alec Go
Mark Sandler
Vivienne Sze
Hartwig Adam
90
515
0
09 Apr 2018
A Quantization-Friendly Separable Convolution for MobileNets
A Quantization-Friendly Separable Convolution for MobileNets
Tao Sheng
Chen Feng
Shaojie Zhuo
Xiaopeng Zhang
Liang Shen
M. Aleksic
MQ
8
112
0
22 Mar 2018
Universal Deep Neural Network Compression
Universal Deep Neural Network Compression
Yoojin Choi
Mostafa El-Khamy
Jungwon Lee
MQ
81
85
0
07 Feb 2018
Learning K-way D-dimensional Discrete Code For Compact Embedding
  Representations
Learning K-way D-dimensional Discrete Code For Compact Embedding Representations
Ting Chen
Martin Renqiang Min
Yizhou Sun
11
10
0
08 Nov 2017
Incremental Network Quantization: Towards Lossless CNNs with
  Low-Precision Weights
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
MQ
319
1,049
0
10 Feb 2017
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