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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
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
154
796
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
56
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
VLMDiffM
85
158
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
OffRLCLL
133
191
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
112
117
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
48
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
FedMLCLLBDL
132
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
282
745
0
12 Dec 2018
Task-Free Continual Learning
Task-Free Continual Learning
Rahaf Aljundi
Klaas Kelchtermans
Tinne Tuytelaars
CLL
168
362
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
VLMCLL
88
104
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
32
5
0
04 Dec 2018
Towards Continuous Domain adaptation for Healthcare
Towards Continuous Domain adaptation for Healthcare
Rahul Venkataramani
Hariharan Ravishankar
Saihareesh Anamandra
OODMedIm
56
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
75
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
54
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
259
1,467
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
OffRLAI4CE
211
1,279
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
212
1,179
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
SSLGAN
109
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
103
56
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
57
50
0
27 Nov 2018
Learning without Memorizing
Learning without Memorizing
Prithviraj Dhar
Rajat Vikram Singh
Kuan-Chuan Peng
Ziyan Wu
Rama Chellappa
CLL
155
487
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
79
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
35
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
59
14
0
12 Nov 2018
Towards continual learning in medical imaging
Towards continual learning in medical imaging
Chaitanya Baweja
Ben Glocker
Konstantinos Kamnitsas
CLL
85
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
32
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
CLLOffRL
54
14
0
06 Nov 2018
Closed-Loop Memory GAN for Continual Learning
Closed-Loop Memory GAN for Continual Learning
A. Rios
Laurent Itti
BDLVLM
109
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
77
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
85
166
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
CLLELM
108
359
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
115
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
135
35
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
131
792
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
118
137
0
27 Oct 2018
Self-Supervised GAN to Counter Forgetting
Self-Supervised GAN to Counter Forgetting
Ting Chen
Xiaohua Zhai
N. Houlsby
CLLGANSSL
98
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
94
28
0
27 Oct 2018
Continual Classification Learning Using Generative Models
Continual Classification Learning Using Generative Models
Frantzeska Lavda
Jason Ramapuram
Magda Gregorova
Alexandros Kalousis
VLMBDLCLL
60
52
0
24 Oct 2018
Toward an AI Physicist for Unsupervised Learning
Toward an AI Physicist for Unsupervised Learning
Tailin Wu
Max Tegmark
DRLAI4CESSLOOD
110
69
0
24 Oct 2018
Incremental Few-Shot Learning with Attention Attractor Networks
Incremental Few-Shot Learning with Attention Attractor Networks
Mengye Ren
Renjie Liao
Ethan Fetaya
R. Zemel
CLL
121
182
0
16 Oct 2018
Deep Reinforcement Learning
Deep Reinforcement Learning
Yuxi Li
VLMOffRL
196
144
0
15 Oct 2018
Multi-Institutional Deep Learning Modeling Without Sharing Patient Data:
  A Feasibility Study on Brain Tumor Segmentation
Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation
Micah J. Sheller
G. A. Reina
Brandon Edwards
Jason Martin
Spyridon Bakas
FedML
127
474
0
10 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
149
311
0
29 Sep 2018
Generalization and Regularization in DQN
Generalization and Regularization in DQN
Jesse Farebrother
Marlos C. Machado
Michael Bowling
146
208
0
29 Sep 2018
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
135
226
0
27 Sep 2018
Active Learning for Deep Object Detection
Active Learning for Deep Object Detection
C. Brust
Christoph Käding
Joachim Denzler
VLMObjD
84
119
0
26 Sep 2018
Non-Iterative Knowledge Fusion in Deep Convolutional Neural Networks
Non-Iterative Knowledge Fusion in Deep Convolutional Neural Networks
M. Leontev
V. Islenteva
S. Sukhov
MoMeFedML
51
24
0
25 Sep 2018
Semi-Supervised Sequence Modeling with Cross-View Training
Semi-Supervised Sequence Modeling with Cross-View Training
Kevin Clark
Minh-Thang Luong
Christopher D. Manning
Quoc V. Le
SSL
83
334
0
22 Sep 2018
Learning, Planning, and Control in a Monolithic Neural Event Inference
  Architecture
Learning, Planning, and Control in a Monolithic Neural Event Inference Architecture
Martin Volker Butz
D. Bilkey
Dania Humaidan
A. Knott
S. Otte
AI4TS
44
50
0
19 Sep 2018
Memory Efficient Experience Replay for Streaming Learning
Memory Efficient Experience Replay for Streaming Learning
Tyler L. Hayes
N. Cahill
Christopher Kanan
101
233
0
16 Sep 2018
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