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Overcoming catastrophic forgetting in neural networks

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
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Papers citing "Overcoming catastrophic forgetting in neural networks"

50 / 3,712 papers shown
Title
A Simple Baseline for Bayesian Uncertainty in Deep Learning
A Simple Baseline for Bayesian Uncertainty in Deep Learning
Wesley J. Maddox
T. Garipov
Pavel Izmailov
Dmitry Vetrov
A. Wilson
BDL
UQCV
47
800
0
07 Feb 2019
Depthwise Convolution is All You Need for Learning Multiple Visual
  Domains
Depthwise Convolution is All You Need for Learning Multiple Visual Domains
Yunhui Guo
Yandong Li
Rogerio Feris
Liqiang Wang
Tajana Simunic
OOD
31
147
0
03 Feb 2019
Incremental Learning with Maximum Entropy Regularization: Rethinking
  Forgetting and Intransigence
Incremental Learning with Maximum Entropy Regularization: Rethinking Forgetting and Intransigence
Dahyun Kim
Jihwan Bae
Yeonsik Jo
Jonghyun Choi
OOD
CLL
36
20
0
03 Feb 2019
Review Conversational Reading Comprehension
Review Conversational Reading Comprehension
Hu Xu
Bing-Quan Liu
Lei Shu
Philip S. Yu
31
18
0
03 Feb 2019
Parameter-Efficient Transfer Learning for NLP
Parameter-Efficient Transfer Learning for NLP
N. Houlsby
A. Giurgiu
Stanislaw Jastrzebski
Bruna Morrone
Quentin de Laroussilhe
Andrea Gesmundo
Mona Attariyan
Sylvain Gelly
130
4,320
0
02 Feb 2019
Policy Consolidation for Continual Reinforcement Learning
Policy Consolidation for Continual Reinforcement Learning
Christos Kaplanis
Murray Shanahan
Claudia Clopath
CLL
OffRL
27
49
0
01 Feb 2019
Learning and Evaluating General Linguistic Intelligence
Learning and Evaluating General Linguistic Intelligence
Dani Yogatama
Cyprien de Masson dÁutume
Jerome T. Connor
Tomás Kociský
Mike Chrzanowski
...
Angeliki Lazaridou
Wang Ling
Lei Yu
Chris Dyer
Phil Blunsom
ELM
AI4CE
38
210
0
31 Jan 2019
Functional Regularisation for Continual Learning with Gaussian Processes
Functional Regularisation for Continual Learning with Gaussian Processes
Michalis K. Titsias
Jonathan Richard Schwarz
A. G. Matthews
Razvan Pascanu
Yee Whye Teh
CLL
BDL
17
186
0
31 Jan 2019
Go-Explore: a New Approach for Hard-Exploration Problems
Go-Explore: a New Approach for Hard-Exploration Problems
Adrien Ecoffet
Joost Huizinga
Joel Lehman
Kenneth O. Stanley
Jeff Clune
AI4TS
29
364
0
30 Jan 2019
Transfer in Deep Reinforcement Learning Using Successor Features and
  Generalised Policy Improvement
Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement
André Barreto
Diana Borsa
John Quan
Tom Schaul
David Silver
Matteo Hessel
D. Mankowitz
Augustin Žídek
Rémi Munos
OffRL
45
162
0
30 Jan 2019
DELTA: DEep Learning Transfer using Feature Map with Attention for
  Convolutional Networks
DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks
Xingjian Li
Haoyi Xiong
Hanchao Wang
Yuxuan Rao
Liping Liu
Zeyu Chen
Jun Huan
21
171
0
26 Jan 2019
Deep Neural Linear Bandits: Overcoming Catastrophic Forgetting through
  Likelihood Matching
Deep Neural Linear Bandits: Overcoming Catastrophic Forgetting through Likelihood Matching
Tom Zahavy
Shie Mannor
HAI
41
30
0
24 Jan 2019
Deep Reinforcement Learning for Multi-Agent Systems: A Review of
  Challenges, Solutions and Applications
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications
Thanh Thi Nguyen
Ngoc Duy Nguyen
S. Nahavandi
37
776
0
31 Dec 2018
Exploring the Challenges towards Lifelong Fact Learning
Exploring the Challenges towards Lifelong Fact Learning
Mohamed Elhoseiny
F. Babiloni
Rahaf Aljundi
Marcus Rohrbach
Manohar Paluri
Tinne Tuytelaars
21
12
0
26 Dec 2018
Generative Models from the perspective of Continual Learning
Generative Models from the perspective of Continual Learning
Timothée Lesort
Hugo Caselles-Dupré
Michael Garcia Ortiz
Andrei Stoian
David Filliat
VLM
DiffM
21
156
0
21 Dec 2018
Deep Online Learning via Meta-Learning: Continual Adaptation for
  Model-Based RL
Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL
Anusha Nagabandi
Chelsea Finn
Sergey Levine
OffRL
CLL
30
192
0
18 Dec 2018
Universal Successor Features Approximators
Universal Successor Features Approximators
Diana Borsa
André Barreto
John Quan
D. Mankowitz
Rémi Munos
H. V. Hasselt
David Silver
Tom Schaul
30
114
0
18 Dec 2018
Domain Adaptation for Reinforcement Learning on the Atari
Domain Adaptation for Reinforcement Learning on the Atari
Thomas Carr
Maria Chli
George Vogiatzis
12
22
0
18 Dec 2018
Reconciling meta-learning and continual learning with online mixtures of
  tasks
Reconciling meta-learning and continual learning with online mixtures of tasks
Ghassen Jerfel
Erin Grant
Thomas Griffiths
Katherine A. Heller
FedML
CLL
BDL
21
12
0
14 Dec 2018
An Empirical Study of Example Forgetting during Deep Neural Network
  Learning
An Empirical Study of Example Forgetting during Deep Neural Network Learning
Mariya Toneva
Alessandro Sordoni
Rémi Tachet des Combes
Adam Trischler
Yoshua Bengio
Geoffrey J. Gordon
61
719
0
12 Dec 2018
Task-Free Continual Learning
Task-Free Continual Learning
Rahaf Aljundi
Klaas Kelchtermans
Tinne Tuytelaars
CLL
46
355
0
10 Dec 2018
Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without
  Catastrophic Forgetting
Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic Forgetting
C. Atkinson
B. McCane
Lech Szymanski
Anthony Robins
VLM
CLL
13
102
0
06 Dec 2018
Overcoming Catastrophic Forgetting by Soft Parameter Pruning
Overcoming Catastrophic Forgetting by Soft Parameter Pruning
Jian-wei Peng
Jiang Hao
Zhuo Li
Enqiang Guo
X. Wan
Min Deng
Qing Zhu
Haifeng Li
CLL
25
5
0
04 Dec 2018
Towards Continuous Domain adaptation for Healthcare
Towards Continuous Domain adaptation for Healthcare
Rahul Venkataramani
Hariharan Ravishankar
Saihareesh Anamandra
OOD
MedIm
19
11
0
04 Dec 2018
Transferring Knowledge across Learning Processes
Transferring Knowledge across Learning Processes
Sebastian Flennerhag
Pablo G. Moreno
Neil D. Lawrence
Andreas C. Damianou
21
64
0
03 Dec 2018
Few-Shot Self Reminder to Overcome Catastrophic Forgetting
Few-Shot Self Reminder to Overcome Catastrophic Forgetting
Junfeng Wen
Yanshuai Cao
Ruitong Huang
CLL
16
24
0
03 Dec 2018
Efficient Lifelong Learning with A-GEM
Efficient Lifelong Learning with A-GEM
Arslan Chaudhry
MarcÁurelio Ranzato
Marcus Rohrbach
Mohamed Elhoseiny
CLL
119
1,432
0
02 Dec 2018
An Introduction to Deep Reinforcement Learning
An Introduction to Deep Reinforcement Learning
Vincent François-Lavet
Peter Henderson
Riashat Islam
Marc G. Bellemare
Joelle Pineau
OffRL
AI4CE
88
1,239
0
30 Nov 2018
Experience Replay for Continual Learning
Experience Replay for Continual Learning
David Rolnick
Arun Ahuja
Jonathan Richard Schwarz
Timothy Lillicrap
Greg Wayne
CLL
34
1,124
0
28 Nov 2018
Self-Supervised GANs via Auxiliary Rotation Loss
Self-Supervised GANs via Auxiliary Rotation Loss
Ting Chen
Xiaohua Zhai
Marvin Ritter
Mario Lucic
N. Houlsby
SSL
GAN
24
302
0
27 Nov 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
32
55
0
27 Nov 2018
Generative Adversarial Network Training is a Continual Learning Problem
Generative Adversarial Network Training is a Continual Learning Problem
Kevin J. Liang
Chunyuan Li
Guoyin Wang
Lawrence Carin
GAN
11
50
0
27 Nov 2018
Learning without Memorizing
Learning without Memorizing
Prithviraj Dhar
Rajat Vikram Singh
Kuan-Chuan Peng
Ziyan Wu
Rama Chellappa
CLL
22
474
0
20 Nov 2018
Towards Training Recurrent Neural Networks for Lifelong Learning
Towards Training Recurrent Neural Networks for Lifelong Learning
Shagun Sodhani
A. Chandar
Yoshua Bengio
CLL
27
19
0
16 Nov 2018
Co-Representation Learning For Classification and Novel Class Detection via Deep Networks
Zhuoyi Wang
Zelun Kong
Hemeng Tao
Swarup Chandra
Latifur Khan
16
2
0
13 Nov 2018
A Framework of Transfer Learning in Object Detection for Embedded
  Systems
A Framework of Transfer Learning in Object Detection for Embedded Systems
Ioannis Athanasiadis
Panagiotis G. Mousouliotis
L. Petrou
ObjD
19
14
0
12 Nov 2018
Towards continual learning in medical imaging
Towards continual learning in medical imaging
Chaitanya Baweja
Ben Glocker
Konstantinos Kamnitsas
CLL
26
57
0
06 Nov 2018
Kalman Filter Modifier for Neural Networks in Non-stationary
  Environments
Kalman Filter Modifier for Neural Networks in Non-stationary Environments
Honglin Li
F. Ganz
Shirin Enshaeifar
Payam Barnaghi
OOD
11
0
0
06 Nov 2018
On the role of neurogenesis in overcoming catastrophic forgetting
On the role of neurogenesis in overcoming catastrophic forgetting
G. I. Parisi
Jongsoo Keum
Hojung Nam
CLL
OffRL
24
13
0
06 Nov 2018
Closed-Loop Memory GAN for Continual Learning
Closed-Loop Memory GAN for Continual Learning
A. Rios
Laurent Itti
BDL
VLM
29
22
0
03 Nov 2018
Progressive Memory Banks for Incremental Domain Adaptation
Progressive Memory Banks for Incremental Domain Adaptation
Nabiha Asghar
Lili Mou
Kira A. Selby
Kevin D. Pantasdo
Pascal Poupart
Xin Jiang
CLL
8
25
0
01 Nov 2018
Don't forget, there is more than forgetting: new metrics for Continual
  Learning
Don't forget, there is more than forgetting: new metrics for Continual Learning
Natalia Díaz Rodríguez
Vincenzo Lomonaco
David Filliat
Davide Maltoni
CLL
13
160
0
31 Oct 2018
Re-evaluating Continual Learning Scenarios: A Categorization and Case
  for Strong Baselines
Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines
Yen-Chang Hsu
Yen-Cheng Liu
Anita Ramasamy
Z. Kira
CLL
ELM
27
351
0
30 Oct 2018
Incremental Learning for Semantic Segmentation of Large-Scale Remote
  Sensing Data
Incremental Learning for Semantic Segmentation of Large-Scale Remote Sensing Data
O. Tasar
Y. Tarabalka
Pierre Alliez
CLL
24
127
0
29 Oct 2018
Marginal Replay vs Conditional Replay for Continual Learning
Marginal Replay vs Conditional Replay for Continual Learning
Timothée Lesort
A. Gepperth
Andrei Stoian
David Filliat
BDL
37
34
0
29 Oct 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
38
772
0
29 Oct 2018
Low-shot Learning via Covariance-Preserving Adversarial Augmentation
  Networks
Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks
Hang Gao
Zheng Shou
Alireza Zareian
Hanwang Zhang
Shih-Fu Chang
GAN
23
135
0
27 Oct 2018
Self-Supervised GAN to Counter Forgetting
Self-Supervised GAN to Counter Forgetting
Ting Chen
Xiaohua Zhai
N. Houlsby
CLL
GAN
SSL
21
8
0
27 Oct 2018
Attended Temperature Scaling: A Practical Approach for Calibrating Deep
  Neural Networks
Attended Temperature Scaling: A Practical Approach for Calibrating Deep Neural Networks
A. Mozafari
H. Gomes
Wilson Leão
Steeven Janny
Christian Gagné
26
26
0
27 Oct 2018
Continual Classification Learning Using Generative Models
Continual Classification Learning Using Generative Models
Frantzeska Lavda
Jason Ramapuram
Magda Gregorova
Alexandros Kalousis
VLM
BDL
CLL
10
50
0
24 Oct 2018
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