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Continual Learning in Deep Neural Network by Using a Kalman Optimiser
v1v2v3 (latest)

Continual Learning in Deep Neural Network by Using a Kalman Optimiser

20 May 2019
Honglin Li
Shirin Enshaeifar
F. Ganz
Payam Barnaghi
    CLLKELM
ArXiv (abs)PDFHTML

Papers citing "Continual Learning in Deep Neural Network by Using a Kalman Optimiser"

5 / 5 papers shown
Title
Online Natural Gradient as a Kalman Filter
Online Natural Gradient as a Kalman Filter
Yann Ollivier
70
68
0
01 Mar 2017
PathNet: Evolution Channels Gradient Descent in Super Neural Networks
PathNet: Evolution Channels Gradient Descent in Super Neural Networks
Chrisantha Fernando
Dylan Banarse
Charles Blundell
Yori Zwols
David R Ha
Andrei A. Rusu
Alexander Pritzel
Daan Wierstra
75
881
0
30 Jan 2017
Overcoming catastrophic forgetting in neural networks
Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
...
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
CLL
374
7,572
0
02 Dec 2016
Weight Uncertainty in Neural Networks
Weight Uncertainty in Neural Networks
Charles Blundell
Julien Cornebise
Koray Kavukcuoglu
Daan Wierstra
UQCVBDL
192
1,893
0
20 May 2015
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based
  Neural Networks
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks
Ian Goodfellow
M. Berk Mirza
Xia Da
Aaron Courville
Yoshua Bengio
153
1,455
0
21 Dec 2013
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