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ACQ: Improving Generative Data-free Quantization Via Attention
  Correction

ACQ: Improving Generative Data-free Quantization Via Attention Correction

18 January 2023
Jixing Li
Xiaozhou Guo
Benzhe Dai
Guoliang Gong
Min Jin
Gang Chen
Wenyu Mao
Huaxiang Lu
    MQ
ArXivPDFHTML

Papers citing "ACQ: Improving Generative Data-free Quantization Via Attention Correction"

40 / 40 papers shown
Title
Data Generation for Hardware-Friendly Post-Training Quantization
Data Generation for Hardware-Friendly Post-Training Quantization
Lior Dikstein
Ariel Lapid
Arnon Netzer
H. Habi
MQ
386
0
0
29 Oct 2024
It's All In the Teacher: Zero-Shot Quantization Brought Closer to the
  Teacher
It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher
Kanghyun Choi
Hye Yoon Lee
Deokki Hong
Joonsang Yu
Noseong Park
Youngsok Kim
Jinho Lee
MQ
48
33
0
31 Mar 2022
Overcoming Oscillations in Quantization-Aware Training
Overcoming Oscillations in Quantization-Aware Training
Markus Nagel
Marios Fournarakis
Yelysei Bondarenko
Tijmen Blankevoort
MQ
128
102
0
21 Mar 2022
Collapse by Conditioning: Training Class-conditional GANs with Limited
  Data
Collapse by Conditioning: Training Class-conditional GANs with Limited Data
Mohamad Shahbazi
Martin Danelljan
D. Paudel
Luc Van Gool
GAN
AI4CE
43
33
0
17 Jan 2022
A Generalized Zero-Shot Quantization of Deep Convolutional Neural
  Networks via Learned Weights Statistics
A Generalized Zero-Shot Quantization of Deep Convolutional Neural Networks via Learned Weights Statistics
Prasen Kumar Sharma
Arun Abraham
V. N. Rajendiran
MQ
74
8
0
06 Dec 2021
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for
  Zero-Shot Network Quantization
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization
Mingliang Xu
Mingbao Lin
Gongrui Nan
Jianzhuang Liu
Baochang Zhang
Yonghong Tian
Rongrong Ji
MQ
69
73
0
17 Nov 2021
How and When Random Feedback Works: A Case Study of Low-Rank Matrix
  Factorization
How and When Random Feedback Works: A Case Study of Low-Rank Matrix Factorization
Shivam Garg
Santosh Vempala
65
3
0
17 Nov 2021
Qimera: Data-free Quantization with Synthetic Boundary Supporting
  Samples
Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples
Kanghyun Choi
Deokki Hong
Noseong Park
Youngsok Kim
Jinho Lee
MQ
43
65
0
04 Nov 2021
AutoReCon: Neural Architecture Search-based Reconstruction for Data-free
  Compression
AutoReCon: Neural Architecture Search-based Reconstruction for Data-free Compression
Baozhou Zhu
P. Hofstee
J. Peltenburg
Jinho Lee
Zaid Al-Ars
34
23
0
25 May 2021
Zero-shot Adversarial Quantization
Zero-shot Adversarial Quantization
Yuang Liu
Wei Zhang
Jun Wang
MQ
73
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
95
426
0
10 Feb 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference
  and training in neural networks
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks
Torsten Hoefler
Dan Alistarh
Tal Ben-Nun
Nikoli Dryden
Alexandra Peste
MQ
255
703
0
31 Jan 2021
Generative Zero-shot Network Quantization
Generative Zero-shot Network Quantization
Xiangyu He
Qinghao Hu
Peisong Wang
Jian Cheng
GAN
MQ
45
23
0
21 Jan 2021
Computation-Efficient Knowledge Distillation via Uncertainty-Aware Mixup
Computation-Efficient Knowledge Distillation via Uncertainty-Aware Mixup
Guodong Xu
Ziwei Liu
Chen Change Loy
UQCV
30
39
0
17 Dec 2020
MixMix: All You Need for Data-Free Compression Are Feature and Data
  Mixing
MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing
Yuhang Li
Feng Zhu
Ruihao Gong
Mingzhu Shen
Xin Dong
F. Yu
Shaoqing Lu
Shi Gu
MQ
57
39
0
19 Nov 2020
Degree-Quant: Quantization-Aware Training for Graph Neural Networks
Degree-Quant: Quantization-Aware Training for Graph Neural Networks
Shyam A. Tailor
Javier Fernandez-Marques
Nicholas D. Lane
GNN
MQ
43
142
0
11 Aug 2020
EasyQuant: Post-training Quantization via Scale Optimization
EasyQuant: Post-training Quantization via Scale Optimization
Di Wu
Qingming Tang
Yongle Zhao
Ming Zhang
Ying Fu
Debing Zhang
MQ
55
77
0
30 Jun 2020
Knowledge Distillation: A Survey
Knowledge Distillation: A Survey
Jianping Gou
B. Yu
Stephen J. Maybank
Dacheng Tao
VLM
54
2,907
0
09 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
42
571
0
22 Apr 2020
A Learning Framework for n-bit Quantized Neural Networks toward FPGAs
A Learning Framework for n-bit Quantized Neural Networks toward FPGAs
Jun Chen
Lu Liu
Yong Liu
Xianfang Zeng
MQ
58
26
0
06 Apr 2020
Binary Neural Networks: A Survey
Binary Neural Networks: A Survey
Haotong Qin
Ruihao Gong
Xianglong Liu
Xiao Bai
Jingkuan Song
N. Sebe
MQ
95
463
0
31 Mar 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
33
127
0
07 Mar 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and
  Applications
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
Jie Gui
Zhenan Sun
Yonggang Wen
Dacheng Tao
Jieping Ye
EGVM
83
829
0
20 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
66
393
0
01 Jan 2020
Loss Aware Post-training Quantization
Loss Aware Post-training Quantization
Yury Nahshan
Brian Chmiel
Chaim Baskin
Evgenii Zheltonozhskii
Ron Banner
A. Bronstein
A. Mendelson
MQ
61
165
0
17 Nov 2019
Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural
  Networks
Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks
Mehdi Neshat
Zifan Wang
Bradley Alexander
Fan Yang
Zijian Zhang
Sirui Ding
Markus Wagner
Xia Hu
FAtt
72
1,056
0
03 Oct 2019
Additive Powers-of-Two Quantization: An Efficient Non-uniform
  Discretization for Neural Networks
Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural Networks
Yuhang Li
Xin Dong
Wei Wang
MQ
52
255
0
28 Sep 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
36
505
0
11 Jun 2019
Fighting Quantization Bias With Bias
Fighting Quantization Bias With Bias
Alexander Finkelstein
Uri Almog
Mark Grobman
MQ
54
56
0
07 Jun 2019
Zero-shot Knowledge Transfer via Adversarial Belief Matching
Zero-shot Knowledge Transfer via Adversarial Belief Matching
P. Micaelli
Amos Storkey
40
228
0
23 May 2019
Learned Step Size Quantization
Learned Step Size Quantization
S. K. Esser
J. McKinstry
Deepika Bablani
R. Appuswamy
D. Modha
MQ
55
792
0
21 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
OODD
MQ
75
307
0
28 Jan 2019
Post-training 4-bit quantization of convolution networks for
  rapid-deployment
Post-training 4-bit quantization of convolution networks for rapid-deployment
Ron Banner
Yury Nahshan
Elad Hoffer
Daniel Soudry
MQ
36
94
0
02 Oct 2018
Knowledge Distillation with Adversarial Samples Supporting Decision
  Boundary
Knowledge Distillation with Adversarial Samples Supporting Decision Boundary
Byeongho Heo
Minsik Lee
Sangdoo Yun
J. Choi
AAML
64
146
0
15 May 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
151
19,124
0
13 Jan 2018
Modulating early visual processing by language
Modulating early visual processing by language
H. D. Vries
Florian Strub
Jérémie Mary
Hugo Larochelle
Olivier Pietquin
Aaron Courville
103
484
0
02 Jul 2017
Paying More Attention to Attention: Improving the Performance of
  Convolutional Neural Networks via Attention Transfer
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer
Sergey Zagoruyko
N. Komodakis
104
2,561
0
12 Dec 2016
Grad-CAM: Why did you say that?
Grad-CAM: Why did you say that?
Ramprasaath R. Selvaraju
Abhishek Das
Ramakrishna Vedantam
Michael Cogswell
Devi Parikh
Dhruv Batra
FAtt
48
469
0
22 Nov 2016
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
279
24,976
0
30 Apr 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
359
43,154
0
11 Feb 2015
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