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Knowledge Amalgamation from Heterogeneous Networks by Common Feature
  Learning

Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning

24 June 2019
Sihui Luo
Xinchao Wang
Gongfan Fang
Yao Hu
Dapeng Tao
Xiuming Zhang
    MoMe
ArXivPDFHTML

Papers citing "Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning"

12 / 12 papers shown
Title
Training-free Heterogeneous Model Merging
Zhengqi Xu
Han Zheng
Jie Song
Li Sun
Mingli Song
MoMe
202
1
0
03 Jan 2025
Student Becoming the Master: Knowledge Amalgamation for Joint Scene
  Parsing, Depth Estimation, and More
Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More
Jingwen Ye
Yixin Ji
Xinchao Wang
Kairi Ou
Dapeng Tao
Xiuming Zhang
MoMe
87
75
0
23 Apr 2019
Amalgamating Knowledge towards Comprehensive Classification
Amalgamating Knowledge towards Comprehensive Classification
Chengchao Shen
L. Câlmâc
Mingli Song
Li Sun
Xiuming Zhang
MoMe
55
89
0
07 Nov 2018
Taskonomy: Disentangling Task Transfer Learning
Taskonomy: Disentangling Task Transfer Learning
Amir Zamir
Alexander Sax
Bokui (William) Shen
Leonidas Guibas
Jitendra Malik
Silvio Savarese
110
1,215
0
23 Apr 2018
Swapout: Learning an ensemble of deep architectures
Swapout: Learning an ensemble of deep architectures
Saurabh Singh
Derek Hoiem
David A. Forsyth
BDL
3DPC
OOD
UQCV
62
150
0
20 May 2016
Deep Networks with Stochastic Depth
Deep Networks with Stochastic Depth
Gao Huang
Yu Sun
Zhuang Liu
Daniel Sedra
Kilian Q. Weinberger
201
2,352
0
30 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.1K
193,426
0
10 Dec 2015
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
320
19,609
0
09 Mar 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.6K
149,842
0
22 Dec 2014
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
286
3,870
0
19 Dec 2014
Learning Face Representation from Scratch
Learning Face Representation from Scratch
Dong Yi
Zhen Lei
Tianran Ouyang
Stan Z. Li
CVBM
85
2,008
0
28 Nov 2014
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
413
43,589
0
17 Sep 2014
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