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Post-training Quantization for Neural Networks with Provable Guarantees
v1v2v3 (latest)

Post-training Quantization for Neural Networks with Provable Guarantees

26 January 2022
Jinjie Zhang
Yixuan Zhou
Rayan Saab
    MQ
ArXiv (abs)PDFHTML

Papers citing "Post-training Quantization for Neural Networks with Provable Guarantees"

28 / 28 papers shown
Title
Zero-shot Adversarial Quantization
Zero-shot Adversarial Quantization
Yuang Liu
Wei Zhang
Jun Wang
MQ
96
79
0
29 Mar 2021
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
138
442
0
10 Feb 2021
A Greedy Algorithm for Quantizing Neural Networks
A Greedy Algorithm for Quantizing Neural Networks
Eric Lybrand
Rayan Saab
MQ
36
27
0
29 Oct 2020
Improving Post Training Neural Quantization: Layer-wise Calibration and
  Integer Programming
Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
Itay Hubara
Yury Nahshan
Y. Hanani
Ron Banner
Daniel Soudry
MQ
101
128
0
14 Jun 2020
An Overview of Neural Network Compression
An Overview of Neural Network Compression
James OÑeill
AI4CE
106
98
0
05 Jun 2020
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
90
586
0
22 Apr 2020
Generative Low-bitwidth Data Free Quantization
Generative Low-bitwidth Data Free Quantization
Shoukai Xu
Haokun Li
Bohan Zhuang
Jing Liu
Jingyun Liang
Chuangrun Liang
Mingkui Tan
MQ
51
127
0
07 Mar 2020
Post-Training Piecewise Linear Quantization for Deep Neural Networks
Post-Training Piecewise Linear Quantization for Deep Neural Networks
Jun Fang
Ali Shafiee
Hamzah Abdel-Aziz
D. Thorsley
Georgios Georgiadis
Joseph Hassoun
MQ
65
147
0
31 Jan 2020
ZeroQ: A Novel Zero Shot Quantization Framework
ZeroQ: A Novel Zero Shot Quantization Framework
Yaohui Cai
Z. Yao
Zhen Dong
A. Gholami
Michael W. Mahoney
Kurt Keutzer
MQ
98
399
0
01 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
541
42,591
0
03 Dec 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
515
0
11 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DVMedIm
153
18,179
0
28 May 2019
HAWQ: Hessian AWare Quantization of Neural Networks with Mixed-Precision
HAWQ: Hessian AWare Quantization of Neural Networks with Mixed-Precision
Zhen Dong
Z. Yao
A. Gholami
Michael W. Mahoney
Kurt Keutzer
MQ
88
528
0
29 Apr 2019
Low-bit Quantization of Neural Networks for Efficient Inference
Low-bit Quantization of Neural Networks for Efficient Inference
Yoni Choukroun
Eli Kravchik
Fan Yang
P. Kisilev
MQ
72
364
0
18 Feb 2019
Improving Neural Network Quantization without Retraining using Outlier
  Channel Splitting
Improving Neural Network Quantization without Retraining using Outlier Channel Splitting
Ritchie Zhao
Yuwei Hu
Jordan Dotzel
Christopher De Sa
Zhiru Zhang
OODDMQ
101
311
0
28 Jan 2019
Quantization for Rapid Deployment of Deep Neural Networks
Quantization for Rapid Deployment of Deep Neural Networks
J. Lee
Sangwon Ha
Saerom Choi
Won-Jo Lee
Seungwon Lee
MQ
51
49
0
12 Oct 2018
Relaxed Quantization for Discretized Neural Networks
Relaxed Quantization for Discretized Neural Networks
Christos Louizos
M. Reisser
Tijmen Blankevoort
E. Gavves
Max Welling
MQ
96
132
0
03 Oct 2018
A Survey on Methods and Theories of Quantized Neural Networks
A Survey on Methods and Theories of Quantized Neural Networks
Yunhui Guo
MQ
80
234
0
13 Aug 2018
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep
  Neural Networks
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
Dongqing Zhang
Jiaolong Yang
Dongqiangzi Ye
G. Hua
MQ
63
703
0
26 Jul 2018
Quantizing deep convolutional networks for efficient inference: A
  whitepaper
Quantizing deep convolutional networks for efficient inference: A whitepaper
Raghuraman Krishnamoorthi
MQ
141
1,021
0
21 Jun 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
164
3,141
0
15 Dec 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
395
1,055
0
10 Feb 2017
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
129
2,090
0
20 Jun 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,426
0
10 Dec 2015
BinaryConnect: Training Deep Neural Networks with binary weights during
  propagations
BinaryConnect: Training Deep Neural Networks with binary weights during propagations
Matthieu Courbariaux
Yoshua Bengio
J. David
MQ
212
2,992
0
02 Nov 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
263
8,859
0
01 Oct 2015
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
485
43,694
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,508
0
04 Sep 2014
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