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Quantized Neural Networks via {-1, +1} Encoding Decomposition and
  Acceleration

Quantized Neural Networks via {-1, +1} Encoding Decomposition and Acceleration

18 June 2021
Qigong Sun
Xiufang Li
Fanhua Shang
Hongying Liu
Kan Yang
L. Jiao
Zhouchen Lin
    MQ
ArXivPDFHTML

Papers citing "Quantized Neural Networks via {-1, +1} Encoding Decomposition and Acceleration"

21 / 21 papers shown
Title
BRECQ: Pushing the Limit of Post-Training Quantization by Block
  Reconstruction
BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction
Yuhang Li
Ruihao Gong
Xu Tan
Yang Yang
Peng Hu
Qi Zhang
F. Yu
Wei Wang
Shi Gu
MQ
95
426
0
10 Feb 2021
Up or Down? Adaptive Rounding for Post-Training Quantization
Up or Down? Adaptive Rounding for Post-Training Quantization
Markus Nagel
Rana Ali Amjad
M. V. Baalen
Christos Louizos
Tijmen Blankevoort
MQ
37
571
0
22 Apr 2020
Rethinking Differentiable Search for Mixed-Precision Neural Networks
Rethinking Differentiable Search for Mixed-Precision Neural Networks
Zhaowei Cai
Nuno Vasconcelos
MQ
16
125
0
13 Apr 2020
Robust Quantization: One Model to Rule Them All
Robust Quantization: One Model to Rule Them All
Moran Shkolnik
Brian Chmiel
Ron Banner
Gil Shomron
Yury Nahshan
A. Bronstein
U. Weiser
OOD
MQ
37
75
0
18 Feb 2020
Multi-Precision Quantized Neural Networks via Encoding Decomposition of
  -1 and +1
Multi-Precision Quantized Neural Networks via Encoding Decomposition of -1 and +1
Qigong Sun
Fanhua Shang
Kan Yang
Xiufang Li
Yan Ren
L. Jiao
MQ
58
12
0
31 May 2019
Defensive Quantization: When Efficiency Meets Robustness
Defensive Quantization: When Efficiency Meets Robustness
Ji Lin
Chuang Gan
Song Han
MQ
58
202
0
17 Apr 2019
DARTS: Differentiable Architecture Search
DARTS: Differentiable Architecture Search
Hanxiao Liu
Karen Simonyan
Yiming Yang
167
4,326
0
24 Jun 2018
From Hashing to CNNs: Training BinaryWeight Networks via Hashing
From Hashing to CNNs: Training BinaryWeight Networks via Hashing
Qinghao Hu
Peisong Wang
Jian Cheng
MQ
53
98
0
08 Feb 2018
Quantization and Training of Neural Networks for Efficient
  Integer-Arithmetic-Only Inference
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
Benoit Jacob
S. Kligys
Bo Chen
Menglong Zhu
Matthew Tang
Andrew G. Howard
Hartwig Adam
Dmitry Kalenichenko
MQ
124
3,090
0
15 Dec 2017
Apprentice: Using Knowledge Distillation Techniques To Improve
  Low-Precision Network Accuracy
Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy
Asit K. Mishra
Debbie Marr
FedML
60
330
0
15 Nov 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
37
210
0
07 Jun 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
380
1,050
0
10 Feb 2017
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOS
SSeg
356
11,941
0
04 Dec 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
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
283
10,149
0
16 Mar 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB
  model size
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
F. Iandola
Song Han
Matthew W. Moskewicz
Khalid Ashraf
W. Dally
Kurt Keutzer
118
7,448
0
24 Feb 2016
Fixed Point Quantization of Deep Convolutional Networks
Fixed Point Quantization of Deep Convolutional Networks
D. Lin
S. Talathi
V. Annapureddy
MQ
71
814
0
19 Nov 2015
Learning both Weights and Connections for Efficient Neural Networks
Learning both Weights and Connections for Efficient Neural Networks
Song Han
Jeff Pool
J. Tran
W. Dally
CVBM
231
6,628
0
08 Jun 2015
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual
  Recognition
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
ObjD
262
11,183
0
18 Jun 2014
Speeding up Convolutional Neural Networks with Low Rank Expansions
Speeding up Convolutional Neural Networks with Low Rank Expansions
Max Jaderberg
Andrea Vedaldi
Andrew Zisserman
123
1,458
0
15 May 2014
Exploiting Linear Structure Within Convolutional Networks for Efficient
  Evaluation
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation
Emily L. Denton
Wojciech Zaremba
Joan Bruna
Yann LeCun
Rob Fergus
FAtt
125
1,682
0
02 Apr 2014
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