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LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep
  Neural Networks

LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks

26 July 2018
Dongqing Zhang
Jiaolong Yang
Dongqiangzi Ye
G. Hua
    MQ
ArXivPDFHTML

Papers citing "LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks"

5 / 155 papers shown
Title
Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network
  using Truncated Gaussian Approximation
Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network using Truncated Gaussian Approximation
Zhezhi He
Deliang Fan
MQ
16
66
0
02 Oct 2018
Recent Advances in Object Detection in the Age of Deep Convolutional
  Neural Networks
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
Shivang Agarwal
Jean Ogier du Terrail
F. Jurie
ObjD
24
123
0
10 Sep 2018
PBGen: Partial Binarization of Deconvolution-Based Generators for Edge
  Intelligence
PBGen: Partial Binarization of Deconvolution-Based Generators for Edge Intelligence
Jinglan Liu
Jiaxin Zhang
Yukun Ding
Xiaowei Xu
Meng Jiang
Yiyu Shi
36
4
0
26 Feb 2018
Build a Compact Binary Neural Network through Bit-level Sensitivity and
  Data Pruning
Build a Compact Binary Neural Network through Bit-level Sensitivity and Data Pruning
Yixing Li
Fengbo Ren
MQ
14
12
0
03 Feb 2018
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
337
1,049
0
10 Feb 2017
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