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Adversarial Feature Alignment: Avoid Catastrophic Forgetting in
  Incremental Task Lifelong Learning

Adversarial Feature Alignment: Avoid Catastrophic Forgetting in Incremental Task Lifelong Learning

24 October 2019
Hang Zhou
Ziwei Liu
Chenglei Wu
Ping Luo
Lifeng Sun
    CLL
ArXiv (abs)PDFHTML

Papers citing "Adversarial Feature Alignment: Avoid Catastrophic Forgetting in Incremental Task Lifelong Learning"

25 / 25 papers shown
Title
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
CLLKELM
75
226
0
27 Sep 2018
Continuous Learning in Single-Incremental-Task Scenarios
Continuous Learning in Single-Incremental-Task Scenarios
Davide Maltoni
Vincenzo Lomonaco
CLL
95
309
0
22 Jun 2018
Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation:
  the Benefit of Target Expectation Maximization
Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: the Benefit of Target Expectation Maximization
Guoliang Kang
Liang Zheng
Yan Yan
Yi Yang
OOD
76
122
0
30 Jan 2018
Memory Aware Synapses: Learning what (not) to forget
Memory Aware Synapses: Learning what (not) to forget
Rahaf Aljundi
F. Babiloni
Mohamed Elhoseiny
Marcus Rohrbach
Tinne Tuytelaars
KELMCLL
87
1,646
0
27 Nov 2017
Measuring Catastrophic Forgetting in Neural Networks
Measuring Catastrophic Forgetting in Neural Networks
Ronald Kemker
Marc McClure
Angelina Abitino
Tyler L. Hayes
Christopher Kanan
CLL
118
721
0
07 Aug 2017
Gradient Episodic Memory for Continual Learning
Gradient Episodic Memory for Continual Learning
David Lopez-Paz
MarcÁurelio Ranzato
VLMCLL
129
2,735
0
26 Jun 2017
Continual Learning with Deep Generative Replay
Continual Learning with Deep Generative Replay
Hanul Shin
Jung Kwon Lee
Jaehong Kim
Jiwon Kim
KELMCLL
80
2,086
0
24 May 2017
Incremental Learning Through Deep Adaptation
Incremental Learning Through Deep Adaptation
Amir Rosenfeld
John K. Tsotsos
CLL
76
278
0
11 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
181
494
0
09 May 2017
Encoder Based Lifelong Learning
Encoder Based Lifelong Learning
Amal Rannen Triki
Rahaf Aljundi
Mathew B. Blaschko
Tinne Tuytelaars
CLL
103
321
0
06 Apr 2017
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain Adaptation
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GANOOD
270
4,673
0
17 Feb 2017
Paying More Attention to Attention: Improving the Performance of
  Convolutional Neural Networks via Attention Transfer
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer
Sergey Zagoruyko
N. Komodakis
147
2,586
0
12 Dec 2016
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
7,561
0
02 Dec 2016
iCaRL: Incremental Classifier and Representation Learning
iCaRL: Incremental Classifier and Representation Learning
Sylvestre-Alvise Rebuffi
Alexander Kolesnikov
G. Sperl
Christoph H. Lampert
CLLOOD
160
3,781
0
23 Nov 2016
Expert Gate: Lifelong Learning with a Network of Experts
Expert Gate: Lifelong Learning with a Network of Experts
Rahaf Aljundi
Punarjay Chakravarty
Tinne Tuytelaars
CLL
87
662
0
18 Nov 2016
Learning without Forgetting
Learning without Forgetting
Zhizhong Li
Derek Hoiem
CLLOODSSL
306
4,428
0
29 Jun 2016
Progressive Neural Networks
Progressive Neural Networks
Andrei A. Rusu
Neil C. Rabinowitz
Guillaume Desjardins
Hubert Soyer
J. Kirkpatrick
Koray Kavukcuoglu
Razvan Pascanu
R. Hadsell
CLLAI4CE
79
2,464
0
15 Jun 2016
Deep Transfer Learning with Joint Adaptation Networks
Deep Transfer Learning with Joint Adaptation Networks
Mingsheng Long
Hanhua Zhu
Jianmin Wang
Michael I. Jordan
TTA
96
2,460
0
21 May 2016
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GANOOD
390
9,515
0
28 May 2015
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
364
19,733
0
09 Mar 2015
Learning Transferable Features with Deep Adaptation Networks
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long
Yue Cao
Jianmin Wang
Michael I. Jordan
OOD
223
5,211
0
10 Feb 2015
How transferable are features in deep neural networks?
How transferable are features in deep neural networks?
J. Yosinski
Jeff Clune
Yoshua Bengio
Hod Lipson
OOD
234
8,348
0
06 Nov 2014
Generative Adversarial Networks
Generative Adversarial Networks
Ian Goodfellow
Jean Pouget-Abadie
M. Berk Mirza
Bing Xu
David Warde-Farley
Sherjil Ozair
Aaron Courville
Yoshua Bengio
GAN
145
2,196
0
10 Jun 2014
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
151
1,452
0
21 Dec 2013
Fine-Grained Visual Classification of Aircraft
Fine-Grained Visual Classification of Aircraft
Subhransu Maji
Esa Rahtu
Arno Solin
Matthew Blaschko
Andrea Vedaldi
126
2,271
0
21 Jun 2013
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