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Data-Free Network Quantization With Adversarial Knowledge Distillation

Data-Free Network Quantization With Adversarial Knowledge Distillation

8 May 2020
Yoojin Choi
Jihwan P. Choi
Mostafa El-Khamy
Jungwon Lee
    MQ
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Papers citing "Data-Free Network Quantization With Adversarial Knowledge Distillation"

19 / 69 papers shown
Title
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
Yunshan Zhong
Mingbao Lin
Gongrui Nan
Jianzhuang Liu
Baochang Zhang
Yonghong Tian
Rongrong Ji
MQ
46
71
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
19
64
0
04 Nov 2021
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data
Gongfan Fang
Yifan Bao
Jie Song
Xinchao Wang
Don Xie
Chengchao Shen
Xiuming Zhang
43
44
0
27 Oct 2021
Towards Data-Free Domain Generalization
Towards Data-Free Domain Generalization
A. Frikha
Haokun Chen
Denis Krompass
Thomas Runkler
Volker Tresp
OOD
41
14
0
09 Oct 2021
FedZKT: Zero-Shot Knowledge Transfer towards Resource-Constrained
  Federated Learning with Heterogeneous On-Device Models
FedZKT: Zero-Shot Knowledge Transfer towards Resource-Constrained Federated Learning with Heterogeneous On-Device Models
Lan Zhang
Dapeng Oliver Wu
Xiaoyong Yuan
FedML
38
47
0
08 Sep 2021
Diverse Sample Generation: Pushing the Limit of Generative Data-free
  Quantization
Diverse Sample Generation: Pushing the Limit of Generative Data-free Quantization
Haotong Qin
Yifu Ding
Xiangguo Zhang
Jiakai Wang
Xianglong Liu
Jiwen Lu
DiffM
MQ
21
49
0
01 Sep 2021
Preventing Catastrophic Forgetting and Distribution Mismatch in
  Knowledge Distillation via Synthetic Data
Preventing Catastrophic Forgetting and Distribution Mismatch in Knowledge Distillation via Synthetic Data
Kuluhan Binici
N. Pham
T. Mitra
K. Leman
20
40
0
11 Aug 2021
Privacy Vulnerability of Split Computing to Data-Free Model Inversion
  Attacks
Privacy Vulnerability of Split Computing to Data-Free Model Inversion Attacks
Xin Dong
Hongxu Yin
J. Álvarez
Jan Kautz
Pavlo Molchanov
H. T. Kung
MIACV
29
8
0
13 Jul 2021
Dual-Teacher Class-Incremental Learning With Data-Free Generative Replay
Dual-Teacher Class-Incremental Learning With Data-Free Generative Replay
Yoojin Choi
Mostafa El-Khamy
Jungwon Lee
CLL
19
41
0
17 Jun 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
22
22
0
25 May 2021
Contrastive Model Inversion for Data-Free Knowledge Distillation
Contrastive Model Inversion for Data-Free Knowledge Distillation
Gongfan Fang
Jie Song
Xinchao Wang
Chen Shen
Xingen Wang
Xiuming Zhang
25
79
0
18 May 2021
Integer-only Zero-shot Quantization for Efficient Speech Recognition
Integer-only Zero-shot Quantization for Efficient Speech Recognition
Sehoon Kim
A. Gholami
Z. Yao
Nicholas Lee
Patrick Wang
Aniruddha Nrusimha
Bohan Zhai
Tianren Gao
Michael W. Mahoney
Kurt Keutzer
MQ
18
23
0
31 Mar 2021
Diversifying Sample Generation for Accurate Data-Free Quantization
Diversifying Sample Generation for Accurate Data-Free Quantization
Xiangguo Zhang
Haotong Qin
Yifu Ding
Ruihao Gong
Qing Yan
Renshuai Tao
Yuhang Li
F. Yu
Xianglong Liu
MQ
56
94
0
01 Mar 2021
Enhancing Data-Free Adversarial Distillation with Activation
  Regularization and Virtual Interpolation
Enhancing Data-Free Adversarial Distillation with Activation Regularization and Virtual Interpolation
Xiaoyang Qu
Jianzong Wang
Jing Xiao
16
14
0
23 Feb 2021
Generative Zero-shot Network Quantization
Generative Zero-shot Network Quantization
Xiangyu He
Qinghao Hu
Peisong Wang
Jian Cheng
GAN
MQ
26
23
0
21 Jan 2021
Data-Free Model Extraction
Data-Free Model Extraction
Jean-Baptiste Truong
Pratyush Maini
R. Walls
Nicolas Papernot
MIACV
15
181
0
30 Nov 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
31
38
0
19 Nov 2020
Layer-Wise Data-Free CNN Compression
Layer-Wise Data-Free CNN Compression
Maxwell Horton
Yanzi Jin
Ali Farhadi
Mohammad Rastegari
MQ
19
17
0
18 Nov 2020
Universal Deep Neural Network Compression
Universal Deep Neural Network Compression
Yoojin Choi
Mostafa El-Khamy
Jungwon Lee
MQ
83
85
0
07 Feb 2018
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