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Incremental Network Quantization: Towards Lossless CNNs with
  Low-Precision Weights

Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights

10 February 2017
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
    MQ
ArXivPDFHTML

Papers citing "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"

14 / 464 papers shown
Title
WRPN: Wide Reduced-Precision Networks
WRPN: Wide Reduced-Precision Networks
Asit K. Mishra
Eriko Nurvitadhi
Jeffrey J. Cook
Debbie Marr
MQ
28
266
0
04 Sep 2017
Learning Accurate Low-Bit Deep Neural Networks with Stochastic
  Quantization
Learning Accurate Low-Bit Deep Neural Networks with Stochastic Quantization
Yinpeng Dong
Renkun Ni
Jianguo Li
Yurong Chen
Jun Zhu
Hang Su
MQ
26
62
0
03 Aug 2017
Streaming Architecture for Large-Scale Quantized Neural Networks on an
  FPGA-Based Dataflow Platform
Streaming Architecture for Large-Scale Quantized Neural Networks on an FPGA-Based Dataflow Platform
Chaim Baskin
Natan Liss
Evgenii Zheltonozhskii
A. Bronstein
A. Mendelson
GNN
MQ
28
35
0
31 Jul 2017
Extremely Low Bit Neural Network: Squeeze the Last Bit Out with ADMM
Extremely Low Bit Neural Network: Squeeze the Last Bit Out with ADMM
Cong Leng
Hao Li
Shenghuo Zhu
R. L. Jin
MQ
27
286
0
24 Jul 2017
Ternary Residual Networks
Ternary Residual Networks
Abhisek Kundu
K. Banerjee
Naveen Mellempudi
Dheevatsa Mudigere
Dipankar Das
Bharat Kaul
Pradeep Dubey
26
8
0
15 Jul 2017
Towards lightweight convolutional neural networks for object detection
Towards lightweight convolutional neural networks for object detection
Dmitriy Anisimov
T. Khanova
ObjD
11
40
0
05 Jul 2017
ShuffleNet: An Extremely Efficient Convolutional Neural Network for
  Mobile Devices
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
Xiangyu Zhang
Xinyu Zhou
Mengxiao Lin
Jian Sun
AI4TS
49
6,783
0
04 Jul 2017
ShiftCNN: Generalized Low-Precision Architecture for Inference of
  Convolutional Neural Networks
ShiftCNN: Generalized Low-Precision Architecture for Inference of Convolutional Neural Networks
Denis A. Gudovskiy
Luca Rigazio
MQ
19
52
0
07 Jun 2017
Training Quantized Nets: A Deeper Understanding
Training Quantized Nets: A Deeper Understanding
Hao Li
Soham De
Zheng Xu
Christoph Studer
H. Samet
Tom Goldstein
MQ
17
209
0
07 Jun 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
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
16
111
0
02 May 2017
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible
  Representations
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations
E. Agustsson
Fabian Mentzer
Michael Tschannen
Lukas Cavigelli
Radu Timofte
Luca Benini
Luc Van Gool
MQ
24
480
0
03 Apr 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
2,991
0
27 Mar 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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