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Deep Collective Knowledge Distillation

Deep Collective Knowledge Distillation

18 April 2023
Jihyeon Seo
Kyusam Oh
Chanho Min
Yongkeun Yun
Sungwoo Cho
ArXiv (abs)PDFHTML

Papers citing "Deep Collective Knowledge Distillation"

15 / 15 papers shown
Title
Distilling Knowledge via Knowledge Review
Distilling Knowledge via Knowledge Review
Pengguang Chen
Shu Liu
Hengshuang Zhao
Jiaya Jia
197
447
0
19 Apr 2021
Online Knowledge Distillation with Diverse Peers
Online Knowledge Distillation with Diverse Peers
Defang Chen
Jian-Ping Mei
Can Wang
Yan Feng
Chun-Yen Chen
FedML
77
302
0
01 Dec 2019
Contrastive Representation Distillation
Contrastive Representation Distillation
Yonglong Tian
Dilip Krishnan
Phillip Isola
178
1,054
0
23 Oct 2019
A Comprehensive Overhaul of Feature Distillation
A Comprehensive Overhaul of Feature Distillation
Byeongho Heo
Jeesoo Kim
Sangdoo Yun
Hyojin Park
Nojun Kwak
J. Choi
92
585
0
03 Apr 2019
Correlation Congruence for Knowledge Distillation
Correlation Congruence for Knowledge Distillation
Baoyun Peng
Xiao Jin
Jiaheng Liu
Shunfeng Zhou
Yichao Wu
Yu Liu
Dongsheng Li
Zhaoning Zhang
94
513
0
03 Apr 2019
Knowledge Distillation by On-the-Fly Native Ensemble
Knowledge Distillation by On-the-Fly Native Ensemble
Xu Lan
Xiatian Zhu
S. Gong
298
480
0
12 Jun 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
285
8,928
0
25 Aug 2017
ShuffleNet: An Extremely Efficient Convolutional Neural Network for
  Mobile Devices
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
Xiangyu Zhang
Xinyu Zhou
Mengxiao Lin
Jian Sun
AI4TS
152
6,896
0
04 Jul 2017
Deep Mutual Learning
Deep Mutual Learning
Ying Zhang
Tao Xiang
Timothy M. Hospedales
Huchuan Lu
FedML
155
1,656
0
01 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
20,900
0
17 Apr 2017
Regularizing Neural Networks by Penalizing Confident Output
  Distributions
Regularizing Neural Networks by Penalizing Confident Output Distributions
Gabriel Pereyra
George Tucker
J. Chorowski
Lukasz Kaiser
Geoffrey E. Hinton
NoLa
165
1,141
0
23 Jan 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
147
2,590
0
12 Dec 2016
SGDR: Stochastic Gradient Descent with Warm Restarts
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
350
8,179
0
13 Aug 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
362
8,005
0
23 May 2016
FitNets: Hints for Thin Deep Nets
FitNets: Hints for Thin Deep Nets
Adriana Romero
Nicolas Ballas
Samira Ebrahimi Kahou
Antoine Chassang
C. Gatta
Yoshua Bengio
FedML
330
3,906
0
19 Dec 2014
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