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Adversarial Continual Learning

Adversarial Continual Learning

21 March 2020
Sayna Ebrahimi
Franziska Meier
Roberto Calandra
Trevor Darrell
Marcus Rohrbach
    CLL
    VLM
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Papers citing "Adversarial Continual Learning"

35 / 35 papers shown
Title
BECAME: BayEsian Continual Learning with Adaptive Model MErging
BECAME: BayEsian Continual Learning with Adaptive Model MErging
Mei Li
Yuxiang Lu
Qinyan Dai
Suizhi Huang
Yue Ding
Hongtao Lu
CLL
MoMe
86
0
0
03 Apr 2025
TinySubNets: An efficient and low capacity continual learning strategy
TinySubNets: An efficient and low capacity continual learning strategy
Marcin Pietroñ
Kamil Faber
Dominik Zurek
Roberto Corizzo
104
0
0
14 Dec 2024
Where are we in audio deepfake detection? A systematic analysis over generative and detection models
Where are we in audio deepfake detection? A systematic analysis over generative and detection models
Xiang Li
Pin-Yu Chen
Wenqi Wei
58
2
0
06 Oct 2024
Mixture of Experts Meets Prompt-Based Continual Learning
Mixture of Experts Meets Prompt-Based Continual Learning
Minh Le
An Nguyen
Huy Nguyen
Trang Nguyen
Trang Pham
L. Ngo
Nhat Ho
CLL
71
8
0
23 May 2024
Optimizing Reusable Knowledge for Continual Learning via Metalearning
Optimizing Reusable Knowledge for Continual Learning via Metalearning
J. Hurtado
Alain Raymond-Sáez
Alvaro Soto
CLL
53
37
0
09 Jun 2021
Uncertainty-guided Continual Learning with Bayesian Neural Networks
Uncertainty-guided Continual Learning with Bayesian Neural Networks
Sayna Ebrahimi
Mohamed Elhoseiny
Trevor Darrell
Marcus Rohrbach
CLL
BDL
35
196
0
06 Jun 2019
Variational Prototype Replays for Continual Learning
Variational Prototype Replays for Continual Learning
Mengmi Zhang
Tao Wang
J. Lim
Gabriel Kreiman
Jiashi Feng
VLM
CLL
19
15
0
23 May 2019
Variational Adversarial Active Learning
Variational Adversarial Active Learning
Samarth Sinha
Sayna Ebrahimi
Trevor Darrell
GAN
DRL
VLM
SSL
90
576
0
31 Mar 2019
On Tiny Episodic Memories in Continual Learning
On Tiny Episodic Memories in Continual Learning
Arslan Chaudhry
Marcus Rohrbach
Mohamed Elhoseiny
Thalaiyasingam Ajanthan
P. Dokania
Philip Torr
MarcÁurelio Ranzato
CLL
66
395
0
27 Feb 2019
Efficient Lifelong Learning with A-GEM
Efficient Lifelong Learning with A-GEM
Arslan Chaudhry
MarcÁurelio Ranzato
Marcus Rohrbach
Mohamed Elhoseiny
CLL
156
1,438
0
02 Dec 2018
Learning to Learn without Forgetting by Maximizing Transfer and
  Minimizing Interference
Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference
Matthew D Riemer
Ignacio Cases
R. Ajemian
Miao Liu
Irina Rish
Y. Tu
Gerald Tesauro
CLL
68
776
0
29 Oct 2018
Compositional GAN: Learning Image-Conditional Binary Composition
Compositional GAN: Learning Image-Conditional Binary Composition
S. Azadi
Deepak Pathak
Sayna Ebrahimi
Trevor Darrell
GAN
CoGe
44
26
0
19 Jul 2018
Disentangling by Factorising
Disentangling by Factorising
Hyunjik Kim
A. Mnih
CoGe
OOD
42
1,336
0
16 Feb 2018
Riemannian Walk for Incremental Learning: Understanding Forgetting and
  Intransigence
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence
Arslan Chaudhry
P. Dokania
Thalaiyasingam Ajanthan
Philip Torr
CLL
63
1,130
0
30 Jan 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
72
1,061
0
04 Jan 2018
FearNet: Brain-Inspired Model for Incremental Learning
FearNet: Brain-Inspired Model for Incremental Learning
Ronald Kemker
Christopher Kanan
CLL
70
476
0
28 Nov 2017
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
KELM
CLL
71
1,613
0
27 Nov 2017
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
Arun Mallya
Svetlana Lazebnik
CLL
86
1,284
0
15 Nov 2017
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
Judy Hoffman
Eric Tzeng
Taesung Park
Jun-Yan Zhu
Phillip Isola
Kate Saenko
Alexei A. Efros
Trevor Darrell
112
2,985
0
08 Nov 2017
Variational Continual Learning
Variational Continual Learning
Cuong V Nguyen
Yingzhen Li
T. Bui
Richard Turner
CLL
VLM
BDL
62
730
0
29 Oct 2017
Lifelong Learning with Dynamically Expandable Networks
Lifelong Learning with Dynamically Expandable Networks
Jaehong Yoon
Eunho Yang
Jeongtae Lee
Sung Ju Hwang
CLL
74
1,214
0
04 Aug 2017
Gradient Episodic Memory for Continual Learning
Gradient Episodic Memory for Continual Learning
David Lopez-Paz
MarcÁurelio Ranzato
VLM
CLL
72
2,684
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
KELM
CLL
62
2,051
0
24 May 2017
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain Adaptation
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GAN
OOD
186
4,638
0
17 Feb 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
31
879
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
254
7,410
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
CLL
OOD
89
3,713
0
23 Nov 2016
Domain Separation Networks
Domain Separation Networks
Konstantinos Bousmalis
George Trigeorgis
N. Silberman
Dilip Krishnan
D. Erhan
OOD
75
1,442
0
22 Aug 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
CLL
AI4CE
43
2,428
0
15 Jun 2016
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
277
7,286
0
13 Jun 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB
  model size
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
F. Iandola
Song Han
Matthew W. Moskewicz
Khalid Ashraf
W. Dally
Kurt Keutzer
110
7,448
0
24 Feb 2016
Adversarial Autoencoders
Adversarial Autoencoders
Alireza Makhzani
Jonathon Shlens
Navdeep Jaitly
Ian Goodfellow
Brendan J. Frey
GAN
66
2,224
0
18 Nov 2015
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
GAN
OOD
326
9,418
0
28 May 2015
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
119
2,191
0
10 Jun 2014
A Survey on Multi-view Learning
A Survey on Multi-view Learning
Chang Xu
Dacheng Tao
Chao Xu
AI4TS
57
1,123
0
20 Apr 2013
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