Papers
Communities
Organizations
Events
Blog
Pricing
Search
Open menu
Home
Papers
1612.00796
Cited By
v1
v2 (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
Re-assign community
ArXiv (abs)
PDF
HTML
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
Thanh Thi Nguyen
Ngoc Duy Nguyen
S. Nahavandi
154
796
0
31 Dec 2018
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
Timothée Lesort
Hugo Caselles-Dupré
Michael Garcia Ortiz
Andrei Stoian
David Filliat
VLM
DiffM
85
158
0
21 Dec 2018
Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL
Anusha Nagabandi
Chelsea Finn
Sergey Levine
OffRL
CLL
133
191
0
18 Dec 2018
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
Thomas Carr
Maria Chli
George Vogiatzis
48
22
0
18 Dec 2018
Reconciling meta-learning and continual learning with online mixtures of tasks
Ghassen Jerfel
Erin Grant
Thomas Griffiths
Katherine A. Heller
FedML
CLL
BDL
132
12
0
14 Dec 2018
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
Rahaf Aljundi
Klaas Kelchtermans
Tinne Tuytelaars
CLL
168
362
0
10 Dec 2018
Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic Forgetting
C. Atkinson
B. McCane
Lech Szymanski
Anthony Robins
VLM
CLL
88
104
0
06 Dec 2018
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
Rahul Venkataramani
Hariharan Ravishankar
Saihareesh Anamandra
OOD
MedIm
56
11
0
04 Dec 2018
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
Junfeng Wen
Yanshuai Cao
Ruitong Huang
CLL
54
24
0
03 Dec 2018
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
Vincent François-Lavet
Peter Henderson
Riashat Islam
Marc G. Bellemare
Joelle Pineau
OffRL
AI4CE
211
1,279
0
30 Nov 2018
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
Ting Chen
Xiaohua Zhai
Marvin Ritter
Mario Lucic
N. Houlsby
SSL
GAN
109
302
0
27 Nov 2018
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
Kevin J. Liang
Chunyuan Li
Guoyin Wang
Lawrence Carin
GAN
57
50
0
27 Nov 2018
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
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
Ioannis Athanasiadis
Panagiotis G. Mousouliotis
L. Petrou
ObjD
59
14
0
12 Nov 2018
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
Honglin Li
F. Ganz
Shirin Enshaeifar
Payam Barnaghi
OOD
32
0
0
06 Nov 2018
On the role of neurogenesis in overcoming catastrophic forgetting
G. I. Parisi
Jongsoo Keum
Hojung Nam
CLL
OffRL
54
14
0
06 Nov 2018
Closed-Loop Memory GAN for Continual Learning
A. Rios
Laurent Itti
BDL
VLM
109
22
0
03 Nov 2018
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
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
Yen-Chang Hsu
Yen-Cheng Liu
Anita Ramasamy
Z. Kira
CLL
ELM
108
359
0
30 Oct 2018
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
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
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
Hang Gao
Zheng Shou
Alireza Zareian
Hanwang Zhang
Shih-Fu Chang
GAN
118
137
0
27 Oct 2018
Self-Supervised GAN to Counter Forgetting
Ting Chen
Xiaohua Zhai
N. Houlsby
CLL
GAN
SSL
98
8
0
27 Oct 2018
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
Frantzeska Lavda
Jason Ramapuram
Magda Gregorova
Alexandros Kalousis
VLM
BDL
CLL
60
52
0
24 Oct 2018
Toward an AI Physicist for Unsupervised Learning
Tailin Wu
Max Tegmark
DRL
AI4CE
SSL
OOD
110
69
0
24 Oct 2018
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
Yuxi Li
VLM
OffRL
196
144
0
15 Oct 2018
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
Guanxiong Zeng
Yang Chen
Bo Cui
Shan Yu
CLL
149
311
0
29 Sep 2018
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
Gido M. van de Ven
A. Tolias
CLL
KELM
135
226
0
27 Sep 2018
Active Learning for Deep Object Detection
C. Brust
Christoph Käding
Joachim Denzler
VLM
ObjD
84
119
0
26 Sep 2018
Non-Iterative Knowledge Fusion in Deep Convolutional Neural Networks
M. Leontev
V. Islenteva
S. Sukhov
MoMe
FedML
51
24
0
25 Sep 2018
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
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
Tyler L. Hayes
N. Cahill
Christopher Kanan
101
233
0
16 Sep 2018
Previous
1
2
3
...
72
73
74
75
76
Next