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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 / 3,693 papers shown
Title
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
27
80
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
14
35
0
16 Aug 2018
Small Sample Learning in Big Data Era
Small Sample Learning in Big Data Era
Jun Shu
Zongben Xu
Deyu Meng
29
71
0
14 Aug 2018
Addressee and Response Selection for Multilingual Conversation
Addressee and Response Selection for Multilingual Conversation
Motoki Sato
Hiroki Ouchi
Yuta Tsuboi
11
6
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
11
53
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
37
1,142
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
19
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
25
185
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
18
58
0
11 Jul 2018
Revisiting Distillation and Incremental Classifier Learning
Revisiting Distillation and Incremental Classifier Learning
Khurram Javed
Faisal Shafait
13
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
21
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
SILM
FedML
13
1,874
0
02 Jul 2018
Continuous Learning in Single-Incremental-Task Scenarios
Continuous Learning in Single-Incremental-Task Scenarios
Davide Maltoni
Vincenzo Lomonaco
CLL
38
307
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
AIMat
MLLM
BDL
25
640
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
BDL
UQCV
SSL
24
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
24
5
0
16 Jun 2018
Motion Planning Networks
Motion Planning Networks
A. H. Qureshi
Anthony Simeonov
M. J. Bency
Michael C. Yip
3DPC
15
237
0
14 Jun 2018
Selfless Sequential Learning
Selfless Sequential Learning
Rahaf Aljundi
Marcus Rohrbach
Tinne Tuytelaars
CLL
33
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
29
150
0
11 Jun 2018
Meta Continual Learning
Meta Continual Learning
Risto Vuorio
D.-Y. Cho
Daejoong Kim
Jiwon Kim
CLL
11
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
20
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
35
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
33
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
47
140
0
04 Jun 2018
NAM: Non-Adversarial Unsupervised Domain Mapping
NAM: Non-Adversarial Unsupervised Domain Mapping
Yedid Hoshen
Lior Wolf
GAN
11
24
0
03 Jun 2018
Reinforced Continual Learning
Reinforced Continual Learning
Ju Xu
Zhanxing Zhu
CLL
14
375
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
BDL
UQCV
17
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
25
51
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
22
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
14
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
CLL
SSL
27
16
0
25 May 2018
Towards Robust Evaluations of Continual Learning
Towards Robust Evaluations of Continual Learning
Sebastian Farquhar
Y. Gal
CLL
28
305
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
9
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
29
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
21
138
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
BDL
CLL
9
327
0
20 May 2018
Model Aggregation via Good-Enough Model Spaces
Model Aggregation via Good-Enough Model Spaces
Neel Guha
Virginia Smith
FedML
9
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
10
15
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
39
872
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
CLL
AI4CE
NoLa
BDL
13
6
0
15 May 2018
Power Law in Sparsified Deep Neural Networks
Power Law in Sparsified Deep Neural Networks
Lu Hou
James T. Kwok
21
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
29
398
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
15
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
25
4
0
12 Apr 2018
Learning to generate classifiers
Learning to generate classifiers
N. Guttenberg
Ryota Kanai
10
3
0
30 Mar 2018
Meta-Learning a Dynamical Language Model
Meta-Learning a Dynamical Language Model
Thomas Wolf
Julien Chaumond
Clement Delangue
29
4
0
28 Mar 2018
Task Agnostic Continual Learning Using Online Variational Bayes
Task Agnostic Continual Learning Using Online Variational Bayes
Chen Zeno
Itay Golan
Elad Hoffer
Daniel Soudry
CLL
FedML
BDL
17
109
0
27 Mar 2018
World Models
World Models
David R Ha
Jürgen Schmidhuber
SyDa
32
1,031
0
27 Mar 2018
Efficient parametrization of multi-domain deep neural networks
Efficient parametrization of multi-domain deep neural networks
Sylvestre-Alvise Rebuffi
Hakan Bilen
Andrea Vedaldi
OOD
36
360
0
27 Mar 2018
Memorization Precedes Generation: Learning Unsupervised GANs with Memory
  Networks
Memorization Precedes Generation: Learning Unsupervised GANs with Memory Networks
Youngjin Kim
Minjung Kim
Gunhee Kim
GAN
26
40
0
05 Mar 2018
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