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An Empirical Investigation of Catastrophic Forgetting in Gradient-Based
  Neural Networks

An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks

21 December 2013
Ian Goodfellow
M. Berk Mirza
Xia Da
Aaron Courville
Yoshua Bengio
ArXivPDFHTML

Papers citing "An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks"

42 / 292 papers shown
Title
From Video Game to Real Robot: The Transfer between Action Spaces
From Video Game to Real Robot: The Transfer between Action Spaces
Janne Karttunen
Anssi Kanervisto
Ville Kyrki
Ville Hautamaki
22
8
0
02 May 2019
Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image
  Retrieval
Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image Retrieval
Qing Liu
Lingxi Xie
Huiyu Wang
Alan Yuille
VLM
27
108
0
05 Apr 2019
Learning to Remember: A Synaptic Plasticity Driven Framework for
  Continual Learning
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning
O. Ostapenko
M. Puscas
T. Klein
P. Jähnichen
Moin Nabi
CLL
60
297
0
05 Apr 2019
Class-incremental Learning via Deep Model Consolidation
Class-incremental Learning via Deep Model Consolidation
Junting Zhang
Jie Zhang
Shalini Ghosh
Dawei Li
Serafettin Tasci
Larry Heck
Heming Zhang
C.-C. Jay Kuo
CLL
27
335
0
19 Mar 2019
Robust and Communication-Efficient Federated Learning from Non-IID Data
Robust and Communication-Efficient Federated Learning from Non-IID Data
Felix Sattler
Simon Wiedemann
K. Müller
Wojciech Samek
FedML
24
1,335
0
07 Mar 2019
Never Forget: Balancing Exploration and Exploitation via Learning
  Optical Flow
Never Forget: Balancing Exploration and Exploitation via Learning Optical Flow
Hsuan-Kung Yang
Po-Han Chiang
Kuan-Wei Ho
Min-Fong Hong
Chun-Yi Lee
35
7
0
24 Jan 2019
Transfer learning to model inertial confinement fusion experiments
Transfer learning to model inertial confinement fusion experiments
K. Humbird
J. Peterson
R. McClarren
8
62
0
14 Dec 2018
Partitioned Variational Inference: A unified framework encompassing
  federated and continual learning
Partitioned Variational Inference: A unified framework encompassing federated and continual learning
T. Bui
Cuong V Nguyen
S. Swaroop
Richard Turner
FedML
27
55
0
27 Nov 2018
Concept-Oriented Deep Learning: Generative Concept Representations
Concept-Oriented Deep Learning: Generative Concept Representations
Daniel T. Chang
DRL
GAN
BDL
36
12
0
15 Nov 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning
A Survey and Critique of Multiagent Deep Reinforcement Learning
Pablo Hernandez-Leal
Bilal Kartal
Matthew E. Taylor
OffRL
43
551
0
12 Oct 2018
Continual Learning of Context-dependent Processing in Neural Networks
Continual Learning of Context-dependent Processing in Neural Networks
Guanxiong Zeng
Yang Chen
Bo Cui
Shan Yu
CLL
33
295
0
29 Sep 2018
Negative Update Intervals in Deep Multi-Agent Reinforcement Learning
Negative Update Intervals in Deep Multi-Agent Reinforcement Learning
Gregory Palmer
Rahul Savani
K. Tuyls
28
27
0
13 Sep 2018
Life-Long Disentangled Representation Learning with Cross-Domain Latent
  Homologies
Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies
Alessandro Achille
Tom Eccles
Loic Matthey
Christopher P. Burgess
Nicholas Watters
Alexander Lerchner
I. Higgins
BDL
29
119
0
20 Aug 2018
DynMat, a network that can learn after learning
DynMat, a network that can learn after learning
J. H. Lee
OffRL
24
5
0
16 Jun 2018
Selfless Sequential Learning
Selfless Sequential Learning
Rahaf Aljundi
Marcus Rohrbach
Tinne Tuytelaars
CLL
33
114
0
14 Jun 2018
Adding New Tasks to a Single Network with Weight Transformations using
  Binary Masks
Adding New Tasks to a Single Network with Weight Transformations using Binary Masks
Massimiliano Mancini
Elisa Ricci
Barbara Caputo
Samuel Rota Buló
25
51
0
28 May 2018
Keep and Learn: Continual Learning by Constraining the Latent Space for
  Knowledge Preservation in Neural Networks
Keep and Learn: Continual Learning by Constraining the Latent Space for Knowledge Preservation in Neural Networks
Hyo-Eun Kim
Seungwook Kim
Jaehwan Lee
CLL
14
31
0
28 May 2018
Self-Net: Lifelong Learning via Continual Self-Modeling
Self-Net: Lifelong Learning via Continual Self-Modeling
Blake Camp
J. Mandivarapu
Rolando Estrada
CLL
SSL
27
16
0
25 May 2018
Towards Robust Evaluations of Continual Learning
Towards Robust Evaluations of Continual Learning
Sebastian Farquhar
Y. Gal
CLL
28
305
0
24 May 2018
The Limits and Potentials of Deep Learning for Robotics
The Limits and Potentials of Deep Learning for Robotics
Niko Sünderhauf
Oliver Brock
Walter J. Scheirer
R. Hadsell
Dieter Fox
...
B. Upcroft
Pieter Abbeel
Wolfram Burgard
Michael Milford
Peter Corke
17
522
0
18 Apr 2018
Combating catastrophic forgetting with developmental compression
Combating catastrophic forgetting with developmental compression
Shawn L. E. Beaulieu
Sam Kriegman
Josh Bongard
25
4
0
12 Apr 2018
Selective Experience Replay for Lifelong Learning
Selective Experience Replay for Lifelong Learning
David Isele
Akansel Cosgun
CLL
34
449
0
28 Feb 2018
SeNA-CNN: Overcoming Catastrophic Forgetting in Convolutional Neural
  Networks by Selective Network Augmentation
SeNA-CNN: Overcoming Catastrophic Forgetting in Convolutional Neural Networks by Selective Network Augmentation
Abel S. Zacarias
Luís A. Alexandre
CLL
32
12
0
22 Feb 2018
Overcoming catastrophic forgetting with hard attention to the task
Overcoming catastrophic forgetting with hard attention to the task
Joan Serrà
Dídac Surís
M. Miron
Alexandros Karatzoglou
CLL
41
1,050
0
04 Jan 2018
Rapid Adaptation with Conditionally Shifted Neurons
Rapid Adaptation with Conditionally Shifted Neurons
Tsendsuren Munkhdalai
Xingdi Yuan
Soroush Mehri
Adam Trischler
21
13
0
28 Dec 2017
FearNet: Brain-Inspired Model for Incremental Learning
FearNet: Brain-Inspired Model for Incremental Learning
Ronald Kemker
Christopher Kanan
CLL
41
475
0
28 Nov 2017
Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory
Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory
Ron Amit
Ron Meir
BDL
MLT
32
175
0
03 Nov 2017
Variational Continual Learning
Variational Continual Learning
Cuong V Nguyen
Yingzhen Li
T. Bui
Richard Turner
CLL
VLM
BDL
36
728
0
29 Oct 2017
Continual Learning with Deep Generative Replay
Continual Learning with Deep Generative Replay
Hanul Shin
Jung Kwon Lee
Jaehong Kim
Jiwon Kim
KELM
CLL
21
2,033
0
24 May 2017
Diffusion-based neuromodulation can eliminate catastrophic forgetting in
  simple neural networks
Diffusion-based neuromodulation can eliminate catastrophic forgetting in simple neural networks
Roby Velez
Jeff Clune
DiffM
16
50
0
20 May 2017
CORe50: a New Dataset and Benchmark for Continuous Object Recognition
CORe50: a New Dataset and Benchmark for Continuous Object Recognition
Vincenzo Lomonaco
Davide Maltoni
34
489
0
09 May 2017
Molecular De Novo Design through Deep Reinforcement Learning
Molecular De Novo Design through Deep Reinforcement Learning
Marcus Olivecrona
T. Blaschke
Ola Engkvist
Hongming Chen
BDL
55
995
0
25 Apr 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
30
668
0
24 Mar 2017
ASP: Learning to Forget with Adaptive Synaptic Plasticity in Spiking
  Neural Networks
ASP: Learning to Forget with Adaptive Synaptic Plasticity in Spiking Neural Networks
Priyadarshini Panda
Jason M. Allred
S. Ramanathan
Kaushik Roy
11
49
0
22 Mar 2017
Continual Learning Through Synaptic Intelligence
Continual Learning Through Synaptic Intelligence
Friedemann Zenke
Ben Poole
Surya Ganguli
39
51
0
13 Mar 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
42
7,326
0
02 Dec 2016
Playing SNES in the Retro Learning Environment
Playing SNES in the Retro Learning Environment
Nadav Bhonker
Shai Rozenberg
Itay Hubara
23
19
0
07 Nov 2016
Less-forgetting Learning in Deep Neural Networks
Less-forgetting Learning in Deep Neural Networks
Heechul Jung
Jeongwoo Ju
Minju Jung
Junmo Kim
26
227
0
01 Jul 2016
Learning without Forgetting
Learning without Forgetting
Zhizhong Li
Derek Hoiem
CLL
OOD
SSL
101
4,319
0
29 Jun 2016
Active Long Term Memory Networks
Active Long Term Memory Networks
Tommaso Furlanello
Jiaping Zhao
Andrew M. Saxe
Laurent Itti
B. Tjan
KELM
CLL
32
41
0
07 Jun 2016
Disentangled Representations in Neural Models
Disentangled Representations in Neural Models
William F. Whitney
OOD
OCL
DRL
30
18
0
07 Feb 2016
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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