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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 / 3,798 papers shown
Title
Abstraction Learning
Abstraction Learning
Fei Deng
Jinsheng Ren
Feng Chen
3DHOCL
18
0
0
11 Sep 2018
StackNet: Stacking Parameters for Continual learning
StackNet: Stacking Parameters for Continual learning
Jangho Kim
Jeesoo Kim
Nojun Kwak
CLL
38
6
0
07 Sep 2018
Memory Replay GANs: learning to generate images from new categories
  without forgetting
Memory Replay GANs: learning to generate images from new categories without forgetting
Chenshen Wu
Luis Herranz
Xialei Liu
Yaxing Wang
Joost van de Weijer
Bogdan Raducanu
CLLVLMGAN
107
197
0
06 Sep 2018
Recurrent World Models Facilitate Policy Evolution
Recurrent World Models Facilitate Policy Evolution
David R Ha
Jürgen Schmidhuber
SyDaTPM
185
959
0
04 Sep 2018
Life-Long Disentangled Representation Learning with Cross-Domain Latent
  Homologies
Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies
Alessandro Achille
Tom Eccles
Loic Matthey
Christopher P. Burgess
Nicholas Watters
Alexander Lerchner
I. Higgins
BDL
89
120
0
20 Aug 2018
Metric Learning for Novelty and Anomaly Detection
Metric Learning for Novelty and Anomaly Detection
Marc Masana
Idoia Ruiz
J. Serrat
Joost van de Weijer
Antonio M. López
OODD
97
81
0
16 Aug 2018
On the Decision Boundary of Deep Neural Networks
On the Decision Boundary of Deep Neural Networks
Yu Li
Lizhong Ding
Xin Gao
UQCV
77
37
0
16 Aug 2018
Small Sample Learning in Big Data Era
Small Sample Learning in Big Data Era
Jun Shu
Zongben Xu
Deyu Meng
119
72
0
14 Aug 2018
Addressee and Response Selection for Multilingual Conversation
Addressee and Response Selection for Multilingual Conversation
Motoki Sato
Hiroki Ouchi
Yuta Tsuboi
32
7
0
12 Aug 2018
Deep Stacked Stochastic Configuration Networks for Lifelong Learning of
  Non-Stationary Data Streams
Deep Stacked Stochastic Configuration Networks for Lifelong Learning of Non-Stationary Data Streams
Mahardhika Pratama
Dianhui Wang
BDL
51
54
0
07 Aug 2018
End-to-End Incremental Learning
End-to-End Incremental Learning
F. M. Castro
M. Marín-Jiménez
Nicolás Guil Mata
Cordelia Schmid
Alahari Karteek
CLL
173
1,163
0
25 Jul 2018
Expressive power of outer product manifolds on feed-forward neural
  networks
Expressive power of outer product manifolds on feed-forward neural networks
Balint Daroczy
Rita Aleksziev
András A. Benczúr
39
0
0
17 Jul 2018
NEUZZ: Efficient Fuzzing with Neural Program Smoothing
NEUZZ: Efficient Fuzzing with Neural Program Smoothing
Dongdong She
Kexin Pei
Dave Epstein
Junfeng Yang
Baishakhi Ray
Suman Jana
96
186
0
15 Jul 2018
On Catastrophic Forgetting and Mode Collapse in Generative Adversarial
  Networks
On Catastrophic Forgetting and Mode Collapse in Generative Adversarial Networks
Hoang Thanh-Tung
T. Tran
GAN
148
59
0
11 Jul 2018
Revisiting Distillation and Incremental Classifier Learning
Revisiting Distillation and Incremental Classifier Learning
Khurram Javed
Faisal Shafait
68
66
0
08 Jul 2018
Distillation Techniques for Pseudo-rehearsal Based Incremental Learning
Distillation Techniques for Pseudo-rehearsal Based Incremental Learning
Haseeb Shah
Khurram Javed
Faisal Shafait
CLL
62
12
0
08 Jul 2018
How To Backdoor Federated Learning
How To Backdoor Federated Learning
Eugene Bagdasaryan
Andreas Veit
Yiqing Hua
D. Estrin
Vitaly Shmatikov
SILMFedML
191
1,945
0
02 Jul 2018
Continuous Learning in Single-Incremental-Task Scenarios
Continuous Learning in Single-Incremental-Task Scenarios
Davide Maltoni
Vincenzo Lomonaco
CLL
142
311
0
22 Jun 2018
The Natural Language Decathlon: Multitask Learning as Question Answering
The Natural Language Decathlon: Multitask Learning as Question Answering
Bryan McCann
N. Keskar
Caiming Xiong
R. Socher
AIMatMLLMBDL
211
647
0
20 Jun 2018
Uncertainty in Multitask Transfer Learning
Uncertainty in Multitask Transfer Learning
Alexandre Lacoste
Boris N. Oreshkin
Wonchang Chung
Thomas Boquet
Negar Rostamzadeh
David M. Krueger
BDLUQCVSSL
105
21
0
20 Jun 2018
DynMat, a network that can learn after learning
DynMat, a network that can learn after learning
J. H. Lee
OffRL
122
6
0
16 Jun 2018
Motion Planning Networks
Motion Planning Networks
A. H. Qureshi
Anthony Simeonov
M. J. Bency
Michael C. Yip
3DPC
84
239
0
14 Jun 2018
Selfless Sequential Learning
Selfless Sequential Learning
Rahaf Aljundi
Marcus Rohrbach
Tinne Tuytelaars
CLL
93
114
0
14 Jun 2018
Fast Approximate Natural Gradient Descent in a Kronecker-factored
  Eigenbasis
Fast Approximate Natural Gradient Descent in a Kronecker-factored Eigenbasis
Thomas George
César Laurent
Xavier Bouthillier
Nicolas Ballas
Pascal Vincent
ODL
125
156
0
11 Jun 2018
Meta Continual Learning
Meta Continual Learning
Risto Vuorio
D.-Y. Cho
Daejoong Kim
Jiwon Kim
CLL
70
28
0
11 Jun 2018
SupportNet: solving catastrophic forgetting in class incremental
  learning with support data
SupportNet: solving catastrophic forgetting in class incremental learning with support data
Yu Li
Zhongxiao Li
Lizhong Ding
Yijie Pan
Peng Yang
Yuhui Hu
Wei Chen
Xin Gao
CLL
102
29
0
08 Jun 2018
A New Framework for Machine Intelligence: Concepts and Prototype
A New Framework for Machine Intelligence: Concepts and Prototype
Abel Torres Montoya
56
0
0
06 Jun 2018
Human-like generalization in a machine through predicate learning
Human-like generalization in a machine through predicate learning
L. Doumas
Guillermo Puebla
Andrea E. Martin
NAI
66
9
0
05 Jun 2018
Universal Statistics of Fisher Information in Deep Neural Networks: Mean
  Field Approach
Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach
Ryo Karakida
S. Akaho
S. Amari
FedML
238
146
0
04 Jun 2018
NAM: Non-Adversarial Unsupervised Domain Mapping
NAM: Non-Adversarial Unsupervised Domain Mapping
Yedid Hoshen
Lior Wolf
GAN
70
24
0
03 Jun 2018
Reinforced Continual Learning
Reinforced Continual Learning
Ju Xu
Zhanxing Zhu
CLL
127
380
0
31 May 2018
Bayesian Inference with Anchored Ensembles of Neural Networks, and
  Application to Exploration in Reinforcement Learning
Bayesian Inference with Anchored Ensembles of Neural Networks, and Application to Exploration in Reinforcement Learning
Tim Pearce
Nicolas Anastassacos
Mohamed H. Zaki
A. Neely
BDLUQCV
83
17
0
29 May 2018
Adding New Tasks to a Single Network with Weight Transformations using
  Binary Masks
Adding New Tasks to a Single Network with Weight Transformations using Binary Masks
Massimiliano Mancini
Elisa Ricci
Barbara Caputo
Samuel Rota Buló
103
52
0
28 May 2018
Distributed Weight Consolidation: A Brain Segmentation Case Study
Distributed Weight Consolidation: A Brain Segmentation Case Study
Patrick McClure
C. Zheng
Jakub R. Kaczmarzyk
John Rogers-Lee
Satrajit S. Ghosh
D. Nielson
P. Bandettini
Francisco Pereira
103
28
0
28 May 2018
Keep and Learn: Continual Learning by Constraining the Latent Space for
  Knowledge Preservation in Neural Networks
Keep and Learn: Continual Learning by Constraining the Latent Space for Knowledge Preservation in Neural Networks
Hyo-Eun Kim
Seungwook Kim
Jaehwan Lee
CLL
55
31
0
28 May 2018
Self-Net: Lifelong Learning via Continual Self-Modeling
Self-Net: Lifelong Learning via Continual Self-Modeling
Blake Camp
J. Mandivarapu
Rolando Estrada
CLLSSL
75
16
0
25 May 2018
Towards Robust Evaluations of Continual Learning
Towards Robust Evaluations of Continual Learning
Sebastian Farquhar
Y. Gal
CLL
115
308
0
24 May 2018
Been There, Done That: Meta-Learning with Episodic Recall
Been There, Done That: Meta-Learning with Episodic Recall
Samuel Ritter
Jane X. Wang
Z. Kurth-Nelson
Siddhant M. Jayakumar
Charles Blundell
Razvan Pascanu
M. Botvinick
CLL
85
84
0
24 May 2018
Teaching Multiple Concepts to a Forgetful Learner
Teaching Multiple Concepts to a Forgetful Learner
Anette Hunziker
Yuxin Chen
Oisin Mac Aodha
Manuel Gomez Rodriguez
Andreas Krause
Pietro Perona
Yisong Yue
Adish Singla
CLL
144
39
0
21 May 2018
Measuring and regularizing networks in function space
Measuring and regularizing networks in function space
Ari S. Benjamin
David Rolnick
Konrad Paul Kording
102
140
0
21 May 2018
Online Structured Laplace Approximations For Overcoming Catastrophic
  Forgetting
Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting
H. Ritter
Aleksandar Botev
David Barber
BDLCLL
111
335
0
20 May 2018
Model Aggregation via Good-Enough Model Spaces
Model Aggregation via Good-Enough Model Spaces
Neel Guha
Virginia Smith
FedML
20
0
0
20 May 2018
Overcoming catastrophic forgetting problem by weight consolidation and
  long-term memory
Overcoming catastrophic forgetting problem by weight consolidation and long-term memory
Shixian Wen
Laurent Itti
CLL
58
16
0
18 May 2018
Progress & Compress: A scalable framework for continual learning
Progress & Compress: A scalable framework for continual learning
Jonathan Richard Schwarz
Jelena Luketina
Wojciech M. Czarnecki
A. Grabska-Barwinska
Yee Whye Teh
Razvan Pascanu
R. Hadsell
CLL
201
889
0
16 May 2018
Continuous Learning in a Hierarchical Multiscale Neural Network
Continuous Learning in a Hierarchical Multiscale Neural Network
Thomas Wolf
Julien Chaumond
Clement Delangue
CLLAI4CENoLaBDL
31
6
0
15 May 2018
Power Law in Sparsified Deep Neural Networks
Power Law in Sparsified Deep Neural Networks
Lu Hou
James T. Kwok
52
3
0
04 May 2018
Measuring the Intrinsic Dimension of Objective Landscapes
Measuring the Intrinsic Dimension of Objective Landscapes
Chunyuan Li
Heerad Farkhoor
Rosanne Liu
J. Yosinski
95
418
0
24 Apr 2018
Direct Network Transfer: Transfer Learning of Sentence Embeddings for
  Semantic Similarity
Direct Network Transfer: Transfer Learning of Sentence Embeddings for Semantic Similarity
Li Zhang
Steven R. Wilson
Rada Mihalcea
FedML
49
1
0
20 Apr 2018
Combating catastrophic forgetting with developmental compression
Combating catastrophic forgetting with developmental compression
Shawn L. E. Beaulieu
Sam Kriegman
Josh Bongard
81
4
0
12 Apr 2018
Learning to generate classifiers
Learning to generate classifiers
N. Guttenberg
Ryota Kanai
18
3
0
30 Mar 2018
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