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2301.07266
Cited By
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
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Papers citing
"ACQ: Improving Generative Data-free Quantization Via Attention Correction"
40 / 40 papers shown
Title
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
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
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
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
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
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
Shivam Garg
Santosh Vempala
65
3
0
17 Nov 2021
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
Baozhou Zhu
P. Hofstee
J. Peltenburg
Jinho Lee
Zaid Al-Ars
34
23
0
25 May 2021
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
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
Torsten Hoefler
Dan Alistarh
Tal Ben-Nun
Nikoli Dryden
Alexandra Peste
MQ
255
703
0
31 Jan 2021
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
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
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
Shyam A. Tailor
Javier Fernandez-Marques
Nicholas D. Lane
GNN
MQ
43
142
0
11 Aug 2020
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
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
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
Jun Chen
Lu Liu
Yong Liu
Xianfang Zeng
MQ
58
26
0
06 Apr 2020
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
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
Jie Gui
Zhenan Sun
Yonggang Wen
Dacheng Tao
Jieping Ye
EGVM
83
829
0
20 Jan 2020
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
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
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
Yuhang Li
Xin Dong
Wei Wang
MQ
52
255
0
28 Sep 2019
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
Alexander Finkelstein
Uri Almog
Mark Grobman
MQ
54
56
0
07 Jun 2019
Zero-shot Knowledge Transfer via Adversarial Belief Matching
P. Micaelli
Amos Storkey
40
228
0
23 May 2019
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
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
Ron Banner
Yury Nahshan
Elad Hoffer
Daniel Soudry
MQ
36
94
0
02 Oct 2018
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
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
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
Sergey Zagoruyko
N. Komodakis
104
2,561
0
12 Dec 2016
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
Ross B. Girshick
ObjD
279
24,976
0
30 Apr 2015
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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