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Reducing Catastrophic Forgetting in Modular Neural Networks by Dynamic
  Information Balancing

Reducing Catastrophic Forgetting in Modular Neural Networks by Dynamic Information Balancing

10 December 2019
Mohammed Amer
Tomás Maul
ArXivPDFHTML

Papers citing "Reducing Catastrophic Forgetting in Modular Neural Networks by Dynamic Information Balancing"

12 / 12 papers shown
Title
Routing Networks and the Challenges of Modular and Compositional
  Computation
Routing Networks and the Challenges of Modular and Compositional Computation
Clemens Rosenbaum
Ignacio Cases
Matthew D Riemer
Tim Klinger
56
81
0
29 Apr 2019
Generative replay with feedback connections as a general strategy for
  continual learning
Generative replay with feedback connections as a general strategy for continual learning
Gido M. van de Ven
A. Tolias
CLL
KELM
69
226
0
27 Sep 2018
Continual Reinforcement Learning with Complex Synapses
Continual Reinforcement Learning with Complex Synapses
Christos Kaplanis
Murray Shanahan
Claudia Clopath
KELM
61
87
0
20 Feb 2018
Routing Networks: Adaptive Selection of Non-linear Functions for
  Multi-Task Learning
Routing Networks: Adaptive Selection of Non-linear Functions for Multi-Task Learning
Clemens Rosenbaum
Tim Klinger
Matthew D Riemer
81
245
0
03 Nov 2017
Dynamic Routing Between Capsules
Dynamic Routing Between Capsules
S. Sabour
Nicholas Frosst
Geoffrey E. Hinton
167
4,593
0
26 Oct 2017
Overcoming Catastrophic Forgetting by Incremental Moment Matching
Overcoming Catastrophic Forgetting by Incremental Moment Matching
Sang-Woo Lee
Jin-Hwa Kim
Jaehyun Jun
Jung-Woo Ha
Byoung-Tak Zhang
CLL
68
676
0
24 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
61
880
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
348
7,498
0
02 Dec 2016
Categorical Reparameterization with Gumbel-Softmax
Categorical Reparameterization with Gumbel-Softmax
Eric Jang
S. Gu
Ben Poole
BDL
303
5,364
0
03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random
  Variables
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables
Chris J. Maddison
A. Mnih
Yee Whye Teh
BDL
177
2,530
0
02 Nov 2016
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
139
1,441
0
21 Dec 2013
Playing Atari with Deep Reinforcement Learning
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih
Koray Kavukcuoglu
David Silver
Alex Graves
Ioannis Antonoglou
Daan Wierstra
Martin Riedmiller
119
12,223
0
19 Dec 2013
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