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Overcoming catastrophic forgetting in neural networks
v1v2 (latest)

Overcoming catastrophic forgetting in neural networks

2 December 2016
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
Andrei A. Rusu
Kieran Milan
John Quan
Tiago Ramalho
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
    CLL
ArXiv (abs)PDFHTML

Papers citing "Overcoming catastrophic forgetting in neural networks"

50 / 3,800 papers shown
Title
Self-Supervised training for blind multi-frame video denoising
Self-Supervised training for blind multi-frame video denoising
Valéry Dewil
J. Anger
Axel Davy
T. Ehret
Pablo Arias
Gabriele Facciolo
66
37
0
15 Apr 2020
Continuous learning of face attribute synthesis
Continuous learning of face attribute synthesis
Xin Ning
Shaohui Xu
Xiaoli Dong
Weijun Li
Fangzhe Nan
Yuanzhou Yao
CVBMGAN
26
8
0
15 Apr 2020
Compositional Visual Generation and Inference with Energy Based Models
Compositional Visual Generation and Inference with Energy Based Models
Yilun Du
Shuang Li
Igor Mordatch
CoGe
90
23
0
13 Apr 2020
Reducing Gender Bias in Neural Machine Translation as a Domain
  Adaptation Problem
Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem
Danielle Saunders
Bill Byrne
AI4CE
158
140
0
09 Apr 2020
Injecting Numerical Reasoning Skills into Language Models
Injecting Numerical Reasoning Skills into Language Models
Mor Geva
Ankit Gupta
Jonathan Berant
AIMatLRM
100
227
0
09 Apr 2020
Continual Learning with Gated Incremental Memories for sequential data
  processing
Continual Learning with Gated Incremental Memories for sequential data processing
Andrea Cossu
Antonio Carta
D. Bacciu
BDLCLL
51
22
0
08 Apr 2020
Towards Reusable Network Components by Learning Compatible
  Representations
Towards Reusable Network Components by Learning Compatible Representations
Michael Gygli
J. Uijlings
V. Ferrari
54
1
0
08 Apr 2020
CALM: Continuous Adaptive Learning for Language Modeling
CALM: Continuous Adaptive Learning for Language Modeling
Kristjan Arumae
Parminder Bhatia
CLLKELM
34
6
0
08 Apr 2020
Evaluating Online Continual Learning with CALM
Evaluating Online Continual Learning with CALM
Germán Kruszewski
Ionut-Teodor Sorodoc
Tomas Mikolov
CLL
52
1
0
07 Apr 2020
Cross-lingual Supervision Improves Unsupervised Neural Machine
  Translation
Cross-lingual Supervision Improves Unsupervised Neural Machine Translation
Mingxuan Wang
Hongxiao Bai
Hai Zhao
Lei Li
96
6
0
07 Apr 2020
Dictionary-based Data Augmentation for Cross-Domain Neural Machine
  Translation
Dictionary-based Data Augmentation for Cross-Domain Neural Machine Translation
Wei Peng
Chongxuan Huang
Tianhao Li
Yun-Nung Chen
Qun Liu
92
23
0
06 Apr 2020
Continual Domain-Tuning for Pretrained Language Models
Continual Domain-Tuning for Pretrained Language Models
Subendhu Rongali
Abhyuday N. Jagannatha
Bhanu Pratap Singh Rawat
Hong-ye Yu
CLLKELM
59
7
0
05 Apr 2020
Any-Shot Sequential Anomaly Detection in Surveillance Videos
Any-Shot Sequential Anomaly Detection in Surveillance Videos
Keval Doshi
Y. Yilmaz
166
75
0
05 Apr 2020
Memory-Efficient Incremental Learning Through Feature Adaptation
Memory-Efficient Incremental Learning Through Feature Adaptation
Ahmet Iscen
Jeffrey O. Zhang
Svetlana Lazebnik
Cordelia Schmid
CLLVLM
89
165
0
01 Apr 2020
Semantic Drift Compensation for Class-Incremental Learning
Semantic Drift Compensation for Class-Incremental Learning
Lu Yu
Bartlomiej Twardowski
Xialei Liu
Luis Herranz
Kai Wang
Yongmei Cheng
Shangling Jui
Joost van de Weijer
CLL
111
346
0
01 Apr 2020
Editable Neural Networks
Editable Neural Networks
A. Sinitsin
Vsevolod Plokhotnyuk
Dmitriy V. Pyrkin
Sergei Popov
Artem Babenko
KELM
138
183
0
01 Apr 2020
Towards Lifelong Self-Supervision For Unpaired Image-to-Image
  Translation
Towards Lifelong Self-Supervision For Unpaired Image-to-Image Translation
Victor Schmidt
Makesh Narsimhan Sreedhar
M. Elaraby
Irina Rish
SSLCLL
61
2
0
31 Mar 2020
Conditional Channel Gated Networks for Task-Aware Continual Learning
Conditional Channel Gated Networks for Task-Aware Continual Learning
Davide Abati
Jakub M. Tomczak
Tijmen Blankevoort
Simone Calderara
Rita Cucchiara
B. Bejnordi
CLL
115
187
0
31 Mar 2020
SS-IL: Separated Softmax for Incremental Learning
SS-IL: Separated Softmax for Incremental Learning
Hongjoon Ahn
Jihwan Kwak
S. Lim
Hyeonsu Bang
Hyojun Kim
Taesup Moon
CLL
174
181
0
31 Mar 2020
Continual Learning with Node-Importance based Adaptive Group Sparse
  Regularization
Continual Learning with Node-Importance based Adaptive Group Sparse Regularization
Sangwon Jung
Hongjoon Ahn
Sungmin Cha
Taesup Moon
CLL
109
128
0
30 Mar 2020
Incremental Learning In Online Scenario
Incremental Learning In Online Scenario
Jiangpeng He
Runyu Mao
Zeman Shao
Fengqing Zhu
CLL
109
153
0
30 Mar 2020
Disturbance-immune Weight Sharing for Neural Architecture Search
Disturbance-immune Weight Sharing for Neural Architecture Search
Shuaicheng Niu
Jiaxiang Wu
Yifan Zhang
Yong Guo
P. Zhao
Junzhou Huang
Mingkui Tan
89
27
0
29 Mar 2020
iTAML: An Incremental Task-Agnostic Meta-learning Approach
iTAML: An Incremental Task-Agnostic Meta-learning Approach
Jathushan Rajasegaran
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
M. Shah
CLLOOD
159
157
0
25 Mar 2020
Overcoming Catastrophic Forgetting in Graph Neural Networks with
  Experience Replay
Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay
Fan Zhou
Chengtai Cao
CLL
85
10
0
22 Mar 2020
Adversarial Continual Learning
Adversarial Continual Learning
Sayna Ebrahimi
Franziska Meier
Roberto Calandra
Trevor Darrell
Marcus Rohrbach
CLLVLM
211
200
0
21 Mar 2020
Few-Shot Learning with Geometric Constraints
Few-Shot Learning with Geometric Constraints
Hong G Jung
Seong-Whan Lee
78
49
0
20 Mar 2020
Online Continual Learning on Sequences
Online Continual Learning on Sequences
G. I. Parisi
Vincenzo Lomonaco
CLL
61
25
0
20 Mar 2020
XtarNet: Learning to Extract Task-Adaptive Representation for
  Incremental Few-Shot Learning
XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning
Sung Whan Yoon
Do-Yeon Kim
Jun Seo
Jaekyun Moon
CLL
254
46
0
19 Mar 2020
Lifelong Learning with Searchable Extension Units
Lifelong Learning with Searchable Extension Units
Wenjin Wang
Yunqing Hu
Yin Zhang
KELMCLL
121
3
0
19 Mar 2020
The State of Lifelong Learning in Service Robots: Current Bottlenecks in
  Object Perception and Manipulation
The State of Lifelong Learning in Service Robots: Current Bottlenecks in Object Perception and Manipulation
S. Kasaei
J. Melsen
Floris van Beers
Christiaan Steenkist
K. Vončina
88
12
0
18 Mar 2020
Incremental Object Detection via Meta-Learning
Incremental Object Detection via Meta-Learning
K. J. Joseph
Jathushan Rajasegaran
Salman Khan
Fahad Shahbaz Khan
V. Balasubramanian
ObjDCLLVLM
237
104
0
17 Mar 2020
Improving Performance in Reinforcement Learning by Breaking
  Generalization in Neural Networks
Improving Performance in Reinforcement Learning by Breaking Generalization in Neural Networks
Sina Ghiassian
Banafsheh Rafiee
Y. Lo
Adam White
66
32
0
16 Mar 2020
A Survey on Contextual Embeddings
A Survey on Contextual Embeddings
Qi Liu
Matt J. Kusner
Phil Blunsom
285
151
0
16 Mar 2020
Sample Efficient Reinforcement Learning through Learning from
  Demonstrations in Minecraft
Sample Efficient Reinforcement Learning through Learning from Demonstrations in Minecraft
Christian Scheller
Yanick Schraner
Manfred Vogel
84
27
0
12 Mar 2020
Online Fast Adaptation and Knowledge Accumulation: a New Approach to
  Continual Learning
Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning
Massimo Caccia
Pau Rodríguez López
O. Ostapenko
Fabrice Normandin
Min Lin
...
I. Laradji
Irina Rish
Alexande Lacoste
David Vazquez
Laurent Charlin
CLLKELM
99
66
0
12 Mar 2020
Continuous Domain Adaptation with Variational Domain-Agnostic Feature
  Replay
Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay
Qicheng Lao
Xiang Jiang
Mohammad Havaei
Yoshua Bengio
VLM
70
33
0
09 Mar 2020
FoCL: Feature-Oriented Continual Learning for Generative Models
FoCL: Feature-Oriented Continual Learning for Generative Models
Qicheng Lao
Mehrzad Mortazavi
Marzieh S. Tahaei
Francis Dutil
T. Fevens
Mohammad Havaei
CLL
78
15
0
09 Mar 2020
Synaptic Metaplasticity in Binarized Neural Networks
Synaptic Metaplasticity in Binarized Neural Networks
Axel Laborieux
M. Ernoult
T. Hirtzlin
D. Querlioz
CLL
107
65
0
07 Mar 2020
Federated Continual Learning with Weighted Inter-client Transfer
Federated Continual Learning with Weighted Inter-client Transfer
Jaehong Yoon
Wonyoung Jeong
Giwoong Lee
Eunho Yang
Sung Ju Hwang
FedML
185
213
0
06 Mar 2020
Triple Memory Networks: a Brain-Inspired Method for Continual Learning
Triple Memory Networks: a Brain-Inspired Method for Continual Learning
Liyuan Wang
Bo Lei
Qian Li
Hang Su
Jun Zhu
Yi Zhong
AAML
77
43
0
06 Mar 2020
On Catastrophic Interference in Atari 2600 Games
On Catastrophic Interference in Atari 2600 Games
W. Fedus
Dibya Ghosh
John D. Martin
Marc G. Bellemare
Yoshua Bengio
Hugo Larochelle
87
27
0
28 Feb 2020
Cognitively-Inspired Model for Incremental Learning Using a Few Examples
Cognitively-Inspired Model for Incremental Learning Using a Few Examples
Ali Ayub
Alan Wagner
CLL
67
3
0
27 Feb 2020
A Free-Energy Principle for Representation Learning
A Free-Energy Principle for Representation Learning
Yansong Gao
Pratik Chaudhari
DRL
65
9
0
27 Feb 2020
Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real
  Domain Shift and Improve Depth Estimation
Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation
Yunhan Zhao
Shu Kong
Daeyun Shin
Charless C. Fowlkes
MDE
86
44
0
27 Feb 2020
Review, Analysis and Design of a Comprehensive Deep Reinforcement
  Learning Framework
Review, Analysis and Design of a Comprehensive Deep Reinforcement Learning Framework
Ngoc Duy Nguyen
Thanh Thi Nguyen
Hai V. Nguyen
Doug Creighton
S. Nahavandi
175
4
0
27 Feb 2020
Training Binary Neural Networks using the Bayesian Learning Rule
Training Binary Neural Networks using the Bayesian Learning Rule
Xiangming Meng
Roman Bachmann
Mohammad Emtiyaz Khan
BDLMQ
117
43
0
25 Feb 2020
Machine Translation System Selection from Bandit Feedback
Machine Translation System Selection from Bandit Feedback
Jason Naradowsky
Xuan Zhang
Kevin Duh
OffRL
68
8
0
22 Feb 2020
Learning to Continually Learn
Learning to Continually Learn
Shawn L. E. Beaulieu
Lapo Frati
Thomas Miconi
Joel Lehman
Kenneth O. Stanley
Jeff Clune
Nick Cheney
KELMCLL
120
148
0
21 Feb 2020
Using Hindsight to Anchor Past Knowledge in Continual Learning
Using Hindsight to Anchor Past Knowledge in Continual Learning
Arslan Chaudhry
Albert Gordo
P. Dokania
Philip Torr
David Lopez-Paz
KELMCLL
116
237
0
19 Feb 2020
Targeted Forgetting and False Memory Formation in Continual Learners
  through Adversarial Backdoor Attacks
Targeted Forgetting and False Memory Formation in Continual Learners through Adversarial Backdoor Attacks
Muhammad Umer
Glenn Dawson
R. Polikar
AAML
49
17
0
17 Feb 2020
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