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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
Option Encoder: A Framework for Discovering a Policy Basis in
  Reinforcement Learning
Option Encoder: A Framework for Discovering a Policy Basis in Reinforcement Learning
Arjun Manoharan
Rahul Ramesh
Balaraman Ravindran
53
3
0
09 Sep 2019
Understanding the Effects of Pre-Training for Object Detectors via
  Eigenspectrum
Understanding the Effects of Pre-Training for Object Detectors via Eigenspectrum
Yosuke Shinya
E. Simo-Serra
Taiji Suzuki
56
12
0
09 Sep 2019
Efficient Continual Learning in Neural Networks with Embedding
  Regularization
Efficient Continual Learning in Neural Networks with Embedding Regularization
Jary Pomponi
Simone Scardapane
Vincenzo Lomonaco
A. Uncini
CLL
102
42
0
09 Sep 2019
LAMOL: LAnguage MOdeling for Lifelong Language Learning
LAMOL: LAnguage MOdeling for Lifelong Language Learning
Fan-Keng Sun
Cheng-Hao Ho
Hung-yi Lee
CLLKELM
110
214
0
07 Sep 2019
Personalization of Deep Learning
Personalization of Deep Learning
Johannes Schneider
M. Vlachos
117
37
0
06 Sep 2019
Investigating Multilingual NMT Representations at Scale
Investigating Multilingual NMT Representations at Scale
Sneha Kudugunta
Ankur Bapna
Isaac Caswell
N. Arivazhagan
Orhan Firat
LRM
215
126
0
05 Sep 2019
Lifelong Machine Learning with Deep Streaming Linear Discriminant
  Analysis
Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis
Tyler L. Hayes
Christopher Kanan
CLL
113
144
0
04 Sep 2019
BooVAE: Boosting Approach for Continual Learning of VAE
BooVAE: Boosting Approach for Continual Learning of VAE
Anna Kuzina
Evgenii Egorov
Evgeny Burnaev
CLL
103
26
0
30 Aug 2019
Learning Continually from Low-shot Data Stream
Learning Continually from Low-shot Data Stream
Canyu Le
Xihan Wei
Biao Wang
L. Zhang
Zhonggui Chen
CLL
41
3
0
27 Aug 2019
The many faces of deep learning
The many faces of deep learning
Raul Vicente
FedMLAI4CE
60
0
0
25 Aug 2019
Spiking Neural Predictive Coding for Continual Learning from Data
  Streams
Spiking Neural Predictive Coding for Continual Learning from Data Streams
Alexander Ororbia
113
28
0
23 Aug 2019
Design Space of Behaviour Planning for Autonomous Driving
Design Space of Behaviour Planning for Autonomous Driving
M. Ilievski
Sean Sedwards
Ashish Gaurav
Aravind Balakrishnan
Atrisha Sarkar
Jaeyoung Lee
F. Bouchard
Ryan De Iaco
Krzysztof Czarnecki
54
9
0
21 Aug 2019
Improved Cardinality Estimation by Learning Queries Containment Rates
Improved Cardinality Estimation by Learning Queries Containment Rates
Rojeh Hayek
O. Shmueli
62
19
0
21 Aug 2019
A survey on intrinsic motivation in reinforcement learning
A survey on intrinsic motivation in reinforcement learning
A. Aubret
L. Matignon
S. Hassas
AI4CE
132
144
0
19 Aug 2019
Interleaved Multitask Learning for Audio Source Separation with
  Independent Databases
Interleaved Multitask Learning for Audio Source Separation with Independent Databases
Clement S. J. Doire
Olumide Okubadejo
58
8
0
14 Aug 2019
Online Continual Learning with Maximally Interfered Retrieval
Online Continual Learning with Maximally Interfered Retrieval
Rahaf Aljundi
Lucas Caccia
Eugene Belilovsky
Massimo Caccia
Min Lin
Laurent Charlin
Tinne Tuytelaars
CLL
155
552
0
11 Aug 2019
Continual Learning by Asymmetric Loss Approximation with Single-Side
  Overestimation
Continual Learning by Asymmetric Loss Approximation with Single-Side Overestimation
Dongmin Park
Seokil Hong
Bohyung Han
Kyoung Mu Lee
AAMLCLL
158
40
0
08 Aug 2019
Toward Understanding Catastrophic Forgetting in Continual Learning
Toward Understanding Catastrophic Forgetting in Continual Learning
Cuong V Nguyen
Alessandro Achille
Michael Lam
Tal Hassner
Vijay Mahadevan
Stefano Soatto
82
96
0
02 Aug 2019
Weight Friction: A Simple Method to Overcome Catastrophic Forgetting and
  Enable Continual Learning
Weight Friction: A Simple Method to Overcome Catastrophic Forgetting and Enable Continual Learning
Gabrielle K. Liu
27
0
0
02 Aug 2019
Continual Learning via Online Leverage Score Sampling
Continual Learning via Online Leverage Score Sampling
D. Teng
Sakyasingha Dasgupta
CLL
55
5
0
01 Aug 2019
Biologically inspired sleep algorithm for artificial neural networks
Biologically inspired sleep algorithm for artificial neural networks
G. Krishnan
Timothy Tadros
Ramyaa Ramyaa
M. Bazhenov
52
18
0
01 Aug 2019
Uncertainty Quantification in Deep Learning for Safer Neuroimage
  Enhancement
Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement
Ryutaro Tanno
Daniel E. Worrall
Enrico Kaden
Aurobrata Ghosh
Francesco Grussu
A. Bizzi
S. Sotiropoulos
A. Criminisi
Daniel C. Alexander
MedImDiffM
111
33
0
31 Jul 2019
Incremental Learning Techniques for Semantic Segmentation
Incremental Learning Techniques for Semantic Segmentation
Umberto Michieli
Pietro Zanuttigh
SSegCLLVLM
131
238
0
31 Jul 2019
Overcoming Catastrophic Forgetting by Neuron-level Plasticity Control
Overcoming Catastrophic Forgetting by Neuron-level Plasticity Control
Inyoung Paik
Sangjun Oh
Taeyeong Kwak
Injung Kim
CLL
102
49
0
31 Jul 2019
Modulation of early visual processing alleviates capacity limits in
  solving multiple tasks
Modulation of early visual processing alleviates capacity limits in solving multiple tasks
Sushrut Thorat
G. Aldegheri
Marcel van Gerven
M. Peelen
MoE
39
3
0
29 Jul 2019
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference
Cuong C. Nguyen
Thanh-Toan Do
G. Carneiro
OODBDLUQCV
83
54
0
27 Jul 2019
Context-Aware Multipath Networks
Context-Aware Multipath Networks
Dumindu Tissera
Kumara Kahatapitiya
Rukshan Wijesinghe
Subha Fernando
Ranga Rodrigo
52
7
0
26 Jul 2019
Lifelong GAN: Continual Learning for Conditional Image Generation
Lifelong GAN: Continual Learning for Conditional Image Generation
Mengyao Zhai
Lei Chen
Frederick Tung
Jiawei He
Megha Nawhal
Greg Mori
CLL
120
183
0
23 Jul 2019
Adaptive Compression-based Lifelong Learning
Adaptive Compression-based Lifelong Learning
Shivangi Srivastava
Maxim Berman
Matthew B. Blaschko
D. Tuia
CLL
82
10
0
23 Jul 2019
Self-Attentional Credit Assignment for Transfer in Reinforcement
  Learning
Self-Attentional Credit Assignment for Transfer in Reinforcement Learning
Johan Ferret
Raphaël Marinier
Matthieu Geist
Olivier Pietquin
OffRL
88
6
0
18 Jul 2019
Autoencoder-Based Incremental Class Learning without Retraining on Old
  Data
Autoencoder-Based Incremental Class Learning without Retraining on Old Data
Euntae Choi
Kyungmi Lee
Kiyoung Choi
CLL
53
13
0
18 Jul 2019
Addressing Delayed Feedback for Continuous Training with Neural Networks
  in CTR prediction
Addressing Delayed Feedback for Continuous Training with Neural Networks in CTR prediction
S. Ktena
Alykhan Tejani
Lucas Theis
Pranay K. Myana
D. Dilipkumar
Ferenc Huszár
Steven Yoo
Wenzhe Shi
NoLa
98
53
0
15 Jul 2019
DisCoRL: Continual Reinforcement Learning via Policy Distillation
DisCoRL: Continual Reinforcement Learning via Policy Distillation
Kalifou René Traoré
Hugo Caselles-Dupré
Timothée Lesort
Te Sun
Guanghang Cai
Natalia Díaz Rodríguez
David Filliat
OffRL
94
61
0
11 Jul 2019
Massively Multilingual Neural Machine Translation in the Wild: Findings
  and Challenges
Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges
N. Arivazhagan
Ankur Bapna
Orhan Firat
Dmitry Lepikhin
Melvin Johnson
...
George F. Foster
Colin Cherry
Wolfgang Macherey
Zhiwen Chen
Yonghui Wu
119
429
0
11 Jul 2019
Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches
Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches
Vincenzo Lomonaco
Davide Maltoni
Lorenzo Pellegrini
CLLVLM
115
67
0
08 Jul 2019
Incremental Concept Learning via Online Generative Memory Recall
Incremental Concept Learning via Online Generative Memory Recall
Huaiyu Li
Weiming Dong
Bao-Gang Hu
CLL
62
23
0
05 Jul 2019
Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale
  Bayesian Deep Learning
Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning
Sebastian Farquhar
Michael A. Osborne
Y. Gal
UQCVBDL
128
58
0
01 Jul 2019
NetTailor: Tuning the Architecture, Not Just the Weights
NetTailor: Tuning the Architecture, Not Just the Weights
Pedro Morgado
Nuno Vasconcelos
MQ
70
29
0
29 Jun 2019
Continual Learning for Robotics: Definition, Framework, Learning
  Strategies, Opportunities and Challenges
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges
Timothée Lesort
Vincenzo Lomonaco
Andrei Stoian
Davide Maltoni
David Filliat
Natalia Díaz Rodríguez
CLL
162
250
0
29 Jun 2019
Continual Rare-Class Recognition with Emerging Novel Subclasses
Continual Rare-Class Recognition with Emerging Novel Subclasses
Hung T. Nguyen
Xuejian Wang
Leman Akoglu
55
3
0
28 Jun 2019
Lifelong Learning Starting From Zero
Lifelong Learning Starting From Zero
Claes Strannegård
Herman Carlström
Niklas Engsner
Fredrik Mäkeläinen
Filip Slottner Seholm
M. Chehreghani
AI4CEKELMCLL
18
3
0
24 Jun 2019
Beneficial perturbation network for continual learning
Beneficial perturbation network for continual learning
Shixian Wen
Laurent Itti
CLLKELM
34
2
0
22 Jun 2019
Fast and Flexible Multi-Task Classification Using Conditional Neural
  Adaptive Processes
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes
James Requeima
Jonathan Gordon
J. Bronskill
Sebastian Nowozin
Richard Turner
80
244
0
18 Jun 2019
Rapid online learning and robust recall in a neuromorphic olfactory
  circuit
Rapid online learning and robust recall in a neuromorphic olfactory circuit
N. Imam
T. A. Cleland
79
145
0
17 Jun 2019
Conditional Computation for Continual Learning
Conditional Computation for Continual Learning
Min Lin
Jie Fu
Yoshua Bengio
CLL
83
10
0
16 Jun 2019
Variational Federated Multi-Task Learning
Variational Federated Multi-Task Learning
Luca Corinzia
Ami Beuret
J. M. Buhmann
FedML
115
161
0
14 Jun 2019
Continual and Multi-Task Architecture Search
Continual and Multi-Task Architecture Search
Ramakanth Pasunuru
Joey Tianyi Zhou
CLL
70
48
0
12 Jun 2019
Task Agnostic Continual Learning via Meta Learning
Task Agnostic Continual Learning via Meta Learning
Xu He
Jakub Sygnowski
Alexandre Galashov
Andrei A. Rusu
Yee Whye Teh
Razvan Pascanu
OODCLLFedML
78
94
0
12 Jun 2019
Cued@wmt19:ewc&lms
Cued@wmt19:ewc&lms
Felix Stahlberg
Danielle Saunders
Adria de Gispert
Bill Byrne
66
13
0
11 Jun 2019
Continual Reinforcement Learning deployed in Real-life using Policy
  Distillation and Sim2Real Transfer
Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer
Kalifou René Traoré
Hugo Caselles-Dupré
Timothée Lesort
Te Sun
Natalia Díaz Rodríguez
David Filliat
CLLOffRL
125
45
0
11 Jun 2019
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