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1803.08607
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A Quantization-Friendly Separable Convolution for MobileNets
22 March 2018
Tao Sheng
Chen Feng
Shaojie Zhuo
Xiaopeng Zhang
Liang Shen
M. Aleksic
MQ
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Papers citing
"A Quantization-Friendly Separable Convolution for MobileNets"
20 / 20 papers shown
Title
Make RepVGG Greater Again: A Quantization-aware Approach
Xiangxiang Chu
Liang Li
Bo-Wen Zhang
MQ
34
46
0
03 Dec 2022
Dynamic Neural Network Architectural and Topological Adaptation and Related Methods -- A Survey
Lorenz Kummer
AI4CE
37
0
0
28 Jul 2021
A White Paper on Neural Network Quantization
Markus Nagel
Marios Fournarakis
Rana Ali Amjad
Yelysei Bondarenko
M. V. Baalen
Tijmen Blankevoort
MQ
21
503
0
15 Jun 2021
Extremely Lightweight Quantization Robust Real-Time Single-Image Super Resolution for Mobile Devices
Mustafa Ayazoglu
8
56
0
21 May 2021
Do All MobileNets Quantize Poorly? Gaining Insights into the Effect of Quantization on Depthwise Separable Convolutional Networks Through the Eyes of Multi-scale Distributional Dynamics
S. Yun
Alexander Wong
MQ
19
25
0
24 Apr 2021
Dynamic Precision Analog Computing for Neural Networks
Sahaj Garg
Joe Lou
Anirudh Jain
Mitchell Nahmias
37
33
0
12 Feb 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Tailin Liang
C. Glossner
Lei Wang
Shaobo Shi
Xiaotong Zhang
MQ
135
674
0
24 Jan 2021
Deep Neural Network for Respiratory Sound Classification in Wearable Devices Enabled by Patient Specific Model Tuning
Jyotibdha Acharya
A. Basu
19
157
0
16 Apr 2020
FDFtNet: Facing Off Fake Images using Fake Detection Fine-tuning Network
Hyeonseong Jeon
Youngoh Bang
Simon S. Woo
16
54
0
05 Jan 2020
A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks
Zhaodong Chen
Lei Deng
Bangyan Wang
Guoqi Li
Yuan Xie
32
28
0
01 Jan 2020
Towards Efficient Training for Neural Network Quantization
Qing Jin
Linjie Yang
Zhenyu A. Liao
MQ
11
42
0
21 Dec 2019
Compressing Representations for Embedded Deep Learning
Juliano S. Assine
Alan Godoy
Eduardo Valle
13
2
0
23 Nov 2019
Bit Efficient Quantization for Deep Neural Networks
Prateeth Nayak
David C. Zhang
S. Chai
MQ
25
43
0
07 Oct 2019
Data-Free Quantization Through Weight Equalization and Bias Correction
Markus Nagel
M. V. Baalen
Tijmen Blankevoort
Max Welling
MQ
19
499
0
11 Jun 2019
Low-Power Computer Vision: Status, Challenges, Opportunities
S. Alyamkin
M. Ardi
Alexander C. Berg
Achille Brighton
Bo Chen
...
George K. Thiruvathukal
Baiwu Zhang
Jingchi Zhang
Xiaopeng Zhang
Shaojie Zhuo
21
10
0
15 Apr 2019
Progressive Stochastic Binarization of Deep Networks
David Hartmann
Michael Wand
MQ
12
1
0
03 Apr 2019
Same, Same But Different - Recovering Neural Network Quantization Error Through Weight Factorization
Eldad Meller
Alexander Finkelstein
Uri Almog
Mark Grobman
MQ
16
85
0
05 Feb 2019
Relaxed Quantization for Discretized Neural Networks
Christos Louizos
M. Reisser
Tijmen Blankevoort
E. Gavves
Max Welling
MQ
27
131
0
03 Oct 2018
AI Benchmark: Running Deep Neural Networks on Android Smartphones
Andrey D. Ignatov
Radu Timofte
William Chou
Ke Wang
Max Wu
Tim Hartley
Luc Van Gool
ELM
14
320
0
02 Oct 2018
Quantizing deep convolutional networks for efficient inference: A whitepaper
Raghuraman Krishnamoorthi
MQ
46
992
0
21 Jun 2018
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