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PROFIT: A Novel Training Method for sub-4-bit MobileNet Models

PROFIT: A Novel Training Method for sub-4-bit MobileNet Models

11 August 2020
Eunhyeok Park
S. Yoo
    MQ
ArXiv (abs)PDFHTML

Papers citing "PROFIT: A Novel Training Method for sub-4-bit MobileNet Models"

36 / 36 papers shown
Title
Dedicated Inference Engine and Binary-Weight Neural Networks for Lightweight Instance Segmentation
Dedicated Inference Engine and Binary-Weight Neural Networks for Lightweight Instance Segmentation
Tse-Wei Chen
Wei Tao
Dongyue Zhao
Kazuhiro Mima
Tadayuki Ito
Kinya Osa
Masami Kato
MQ
133
0
0
03 Jan 2025
2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency
2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency
Yonggan Fu
Yang Zhao
Qixuan Yu
Chaojian Li
Yingyan Lin
AAML
98
14
0
11 Sep 2021
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit
  Neural Networks
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks
Ruihao Gong
Xianglong Liu
Shenghu Jiang
Tian-Hao Li
Peng Hu
Jiazhen Lin
F. Yu
Junjie Yan
MQ
67
458
0
14 Aug 2019
Data-Free Quantization Through Weight Equalization and Bias Correction
Data-Free Quantization Through Weight Equalization and Bias Correction
Markus Nagel
M. V. Baalen
Tijmen Blankevoort
Max Welling
MQ
75
513
0
11 Jun 2019
Fighting Quantization Bias With Bias
Fighting Quantization Bias With Bias
Alexander Finkelstein
Uri Almog
Mark Grobman
MQ
75
57
0
07 Jun 2019
Searching for MobileNetV3
Searching for MobileNetV3
Andrew G. Howard
Mark Sandler
Grace Chu
Liang-Chieh Chen
Bo Chen
...
Yukun Zhu
Ruoming Pang
Vijay Vasudevan
Quoc V. Le
Hartwig Adam
348
6,782
0
06 May 2019
SCNN: A General Distribution based Statistical Convolutional Neural
  Network with Application to Video Object Detection
SCNN: A General Distribution based Statistical Convolutional Neural Network with Application to Video Object Detection
Tianchen Wang
Jinjun Xiong
Xiaowei Xu
Yiyu Shi
51
24
0
15 Mar 2019
Learned Step Size Quantization
Learned Step Size Quantization
S. K. Esser
J. McKinstry
Deepika Bablani
R. Appuswamy
D. Modha
MQ
75
806
0
21 Feb 2019
Precision Highway for Ultra Low-Precision Quantization
Precision Highway for Ultra Low-Precision Quantization
Eunhyeok Park
Dongyoung Kim
S. Yoo
Peter Vajda
MQAI4TS
127
12
0
24 Dec 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
94,891
0
11 Oct 2018
Learning to Quantize Deep Networks by Optimizing Quantization Intervals
  with Task Loss
Learning to Quantize Deep Networks by Optimizing Quantization Intervals with Task Loss
S. Jung
Changyong Son
Seohyung Lee
JinWoo Son
Youngjun Kwak
Jae-Joon Han
Sung Ju Hwang
Changkyu Choi
MQ
48
375
0
17 Aug 2018
Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved
  Representational Capability and Advanced Training Algorithm
Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm
Zechun Liu
Baoyuan Wu
Wenhan Luo
Xin Yang
Wen Liu
K. Cheng
MQ
89
556
0
01 Aug 2018
MnasNet: Platform-Aware Neural Architecture Search for Mobile
MnasNet: Platform-Aware Neural Architecture Search for Mobile
Mingxing Tan
Bo Chen
Ruoming Pang
Vijay Vasudevan
Mark Sandler
Andrew G. Howard
Quoc V. Le
MQ
123
3,010
0
31 Jul 2018
Bridging the Accuracy Gap for 2-bit Quantized Neural Networks (QNN)
Bridging the Accuracy Gap for 2-bit Quantized Neural Networks (QNN)
Jungwook Choi
P. Chuang
Zhuo Wang
Swagath Venkataramani
Vijayalakshmi Srinivasan
K. Gopalakrishnan
MQ
42
76
0
17 Jul 2018
Quantizing deep convolutional networks for efficient inference: A
  whitepaper
Quantizing deep convolutional networks for efficient inference: A whitepaper
Raghuraman Krishnamoorthi
MQ
141
1,016
0
21 Jun 2018
PACT: Parameterized Clipping Activation for Quantized Neural Networks
PACT: Parameterized Clipping Activation for Quantized Neural Networks
Jungwook Choi
Zhuo Wang
Swagath Venkataramani
P. Chuang
Vijayalakshmi Srinivasan
K. Gopalakrishnan
MQ
65
953
0
16 May 2018
UNIQ: Uniform Noise Injection for Non-Uniform Quantization of Neural
  Networks
UNIQ: Uniform Noise Injection for Non-Uniform Quantization of Neural Networks
Chaim Baskin
Eli Schwartz
Evgenii Zheltonozhskii
Natan Liss
Raja Giryes
A. Bronstein
A. Mendelson
MQ
63
45
0
29 Apr 2018
Averaging Weights Leads to Wider Optima and Better Generalization
Averaging Weights Leads to Wider Optima and Better Generalization
Pavel Izmailov
Dmitrii Podoprikhin
T. Garipov
Dmitry Vetrov
A. Wilson
FedMLMoMe
133
1,662
0
14 Mar 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
184
19,284
0
13 Jan 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
156
3,130
0
15 Dec 2017
High performance ultra-low-precision convolutions on mobile devices
High performance ultra-low-precision convolutions on mobile devices
Andrew Tulloch
Yangqing Jia
HAIMQ
55
28
0
06 Dec 2017
Bit Fusion: Bit-Level Dynamically Composable Architecture for
  Accelerating Deep Neural Networks
Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Networks
Hardik Sharma
Jongse Park
Naveen Suda
Liangzhen Lai
Benson Chau
Joo-Young Kim
Vikas Chandra
H. Esmaeilzadeh
MQ
58
491
0
05 Dec 2017
Towards Effective Low-bitwidth Convolutional Neural Networks
Towards Effective Low-bitwidth Convolutional Neural Networks
Bohan Zhuang
Chunhua Shen
Mingkui Tan
Lingqiao Liu
Ian Reid
MQ
70
232
0
01 Nov 2017
WRPN: Wide Reduced-Precision Networks
WRPN: Wide Reduced-Precision Networks
Asit K. Mishra
Eriko Nurvitadhi
Jeffrey J. Cook
Debbie Marr
MQ
78
267
0
04 Sep 2017
Balanced Quantization: An Effective and Efficient Approach to Quantized
  Neural Networks
Balanced Quantization: An Effective and Efficient Approach to Quantized Neural Networks
Shuchang Zhou
Yuzhi Wang
He Wen
Qinyao He
Yuheng Zou
MQ
82
110
0
22 Jun 2017
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Priya Goyal
Piotr Dollár
Ross B. Girshick
P. Noordhuis
Lukasz Wesolowski
Aapo Kyrola
Andrew Tulloch
Yangqing Jia
Kaiming He
3DH
126
3,681
0
08 Jun 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.2K
20,858
0
17 Apr 2017
Trained Ternary Quantization
Trained Ternary Quantization
Chenzhuo Zhu
Song Han
Huizi Mao
W. Dally
MQ
137
1,035
0
04 Dec 2016
Quantized Neural Networks: Training Neural Networks with Low Precision
  Weights and Activations
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations
Itay Hubara
Matthieu Courbariaux
Daniel Soudry
Ran El-Yaniv
Yoshua Bengio
MQ
149
1,866
0
22 Sep 2016
SGDR: Stochastic Gradient Descent with Warm Restarts
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
333
8,130
0
13 Aug 2016
DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low
  Bitwidth Gradients
DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients
Shuchang Zhou
Yuxin Wu
Zekun Ni
Xinyu Zhou
He Wen
Yuheng Zou
MQ
119
2,088
0
20 Jun 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
170
4,357
0
16 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
362
19,660
0
09 Mar 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
463
43,305
0
11 Feb 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.6K
100,386
0
04 Sep 2014
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