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Curriculum Dropout

Curriculum Dropout

18 March 2017
Pietro Morerio
Jacopo Cavazza
Riccardo Volpi
René Vidal
Vittorio Murino
    ODL
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Papers citing "Curriculum Dropout"

12 / 62 papers shown
Title
Regularizing CNN Transfer Learning with Randomised Regression
Regularizing CNN Transfer Learning with Randomised Regression
Yang Zhong
A. Maki
24
13
0
16 Aug 2019
Curriculum based Dropout Discriminator for Domain Adaptation
Curriculum based Dropout Discriminator for Domain Adaptation
V. Kurmi
Vipul Bajaj
K. Venkatesh
Vinay P. Namboodiri
OOD
16
14
0
24 Jul 2019
Survey of Dropout Methods for Deep Neural Networks
Survey of Dropout Methods for Deep Neural Networks
Alex Labach
Hojjat Salehinejad
S. Valaee
27
149
0
25 Apr 2019
Analysing Dropout and Compounding Errors in Neural Language Models
Analysing Dropout and Compounding Errors in Neural Language Models
James OÑeill
Danushka Bollegala
28
1
0
02 Nov 2018
DropFilter: Dropout for Convolutions
DropFilter: Dropout for Convolutions
Zhengsu Chen
9
4
0
23 Oct 2018
Dropout with Tabu Strategy for Regularizing Deep Neural Networks
Dropout with Tabu Strategy for Regularizing Deep Neural Networks
Zongjie Ma
A. Sattar
Jun Zhou
Qingliang Chen
Kaile Su
24
6
0
29 Aug 2018
Excitation Dropout: Encouraging Plasticity in Deep Neural Networks
Excitation Dropout: Encouraging Plasticity in Deep Neural Networks
Andrea Zunino
Sarah Adel Bargal
Pietro Morerio
Jianming Zhang
Stan Sclaroff
Vittorio Murino
21
23
0
23 May 2018
Regularization for Deep Learning: A Taxonomy
Regularization for Deep Learning: A Taxonomy
J. Kukačka
Vladimir Golkov
Daniel Cremers
38
335
0
29 Oct 2017
Dropout as a Low-Rank Regularizer for Matrix Factorization
Dropout as a Low-Rank Regularizer for Matrix Factorization
Jacopo Cavazza
Pietro Morerio
B. Haeffele
Connor Lane
Vittorio Murino
René Vidal
28
41
0
13 Oct 2017
An Analysis of Dropout for Matrix Factorization
An Analysis of Dropout for Matrix Factorization
Jacopo Cavazza
Connor Lane
B. Haeffele
Vittorio Murino
René Vidal
18
2
0
10 Oct 2017
When Kernel Methods meet Feature Learning: Log-Covariance Network for
  Action Recognition from Skeletal Data
When Kernel Methods meet Feature Learning: Log-Covariance Network for Action Recognition from Skeletal Data
Jacopo Cavazza
Pietro Morerio
Vittorio Murino
21
10
0
03 Aug 2017
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,639
0
03 Jul 2012
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