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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
Online Learned Continual Compression with Adaptive Quantization Modules
Online Learned Continual Compression with Adaptive Quantization Modules
Lucas Caccia
Eugene Belilovsky
Massimo Caccia
Joelle Pineau
97
5
0
19 Nov 2019
Towards Making Deep Transfer Learning Never Hurt
Towards Making Deep Transfer Learning Never Hurt
Ruosi Wan
Haoyi Xiong
Xingjian Li
Zhanxing Zhu
Jun Huan
74
21
0
18 Nov 2019
REFIT: A Unified Watermark Removal Framework For Deep Learning Systems
  With Limited Data
REFIT: A Unified Watermark Removal Framework For Deep Learning Systems With Limited Data
Xinyun Chen
Wenxiao Wang
Chris Bender
Yiming Ding
R. Jia
Yue Liu
Basel Alomair
AAML
95
109
0
17 Nov 2019
Maintaining Discrimination and Fairness in Class Incremental Learning
Maintaining Discrimination and Fairness in Class Incremental Learning
Bowen Zhao
Xi Xiao
Guojun Gan
Bin Zhang
Shutao Xia
CLL
175
434
0
16 Nov 2019
Self-supervised GAN: Analysis and Improvement with Multi-class Minimax
  Game
Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game
Ngoc-Trung Tran
Viet-Hung Tran
Ngoc-Bao Nguyen
Linxiao Yang
Ngai-Man Cheung
SSLGAN
91
61
0
16 Nov 2019
OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong
  Deep Learning
OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong Deep Learning
Qi She
Fan Feng
Xinyue Hao
Qihan Yang
Chuanlin Lan
...
Zhengwei Wang
Yao Guo
Yimin Zhang
Fei Qiao
Rosa H. M. Chan
VLM
137
76
0
15 Nov 2019
Adversarial Examples in Modern Machine Learning: A Review
Adversarial Examples in Modern Machine Learning: A Review
R. Wiyatno
Anqi Xu
Ousmane Amadou Dia
A. D. Berker
AAML
127
105
0
13 Nov 2019
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep
  Networks
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks
Aditya Golatkar
Alessandro Achille
Stefano Soatto
CLLMU
116
509
0
12 Nov 2019
Making Good on LSTMs' Unfulfilled Promise
Making Good on LSTMs' Unfulfilled Promise
Daniel Philps
Artur Garcez
Tillman Weyde
AI4TS
71
2
0
11 Nov 2019
Knowledge Distillation for Incremental Learning in Semantic Segmentation
Knowledge Distillation for Incremental Learning in Semantic Segmentation
Umberto Michieli
Pietro Zanuttigh
CLLVLM
118
100
0
08 Nov 2019
Forget Me Not: Reducing Catastrophic Forgetting for Domain Adaptation in
  Reading Comprehension
Forget Me Not: Reducing Catastrophic Forgetting for Domain Adaptation in Reading Comprehension
Ying Xu
Xu Zhong
Antonio Jimeno Yepes
Jey Han Lau
AI4CECLL
74
45
0
01 Nov 2019
Continual Unsupervised Representation Learning
Continual Unsupervised Representation Learning
Dushyant Rao
Francesco Visin
Andrei A. Rusu
Yee Whye Teh
Razvan Pascanu
R. Hadsell
BDLCLLSSLDRL
48
264
0
31 Oct 2019
Overcoming Catastrophic Interference in Online Reinforcement Learning
  with Dynamic Self-Organizing Maps
Overcoming Catastrophic Interference in Online Reinforcement Learning with Dynamic Self-Organizing Maps
Y. Lo
Sina Ghiassian
CLL
31
8
0
29 Oct 2019
Adversarial Feature Alignment: Avoid Catastrophic Forgetting in
  Incremental Task Lifelong Learning
Adversarial Feature Alignment: Avoid Catastrophic Forgetting in Incremental Task Lifelong Learning
Hang Zhou
Ziwei Liu
Chenglei Wu
Ping Luo
Lifeng Sun
CLL
133
22
0
24 Oct 2019
Robust Neural Machine Translation for Clean and Noisy Speech Transcripts
Robust Neural Machine Translation for Clean and Noisy Speech Transcripts
Mattia Antonino Di Gangi
Robert Enyedi
A. Brusadin
Marcello Federico
88
25
0
22 Oct 2019
Self-Supervised Sim-to-Real Adaptation for Visual Robotic Manipulation
Self-Supervised Sim-to-Real Adaptation for Visual Robotic Manipulation
Rae Jeong
Y. Aytar
D. Khosid
Yuxiang Zhou
Jackie Kay
Thomas Lampe
Konstantinos Bousmalis
F. Nori
SSL
55
58
0
21 Oct 2019
Image Difficulty Curriculum for Generative Adversarial Networks (CuGAN)
Image Difficulty Curriculum for Generative Adversarial Networks (CuGAN)
Petru Soviany
Claudiu Ardei
Radu Tudor Ionescu
Marius Leordeanu
GAN
107
49
0
20 Oct 2019
On Warm-Starting Neural Network Training
On Warm-Starting Neural Network Training
Jordan T. Ash
Ryan P. Adams
AI4CE
71
21
0
18 Oct 2019
Overcoming Forgetting in Federated Learning on Non-IID Data
Overcoming Forgetting in Federated Learning on Non-IID Data
N. Shoham
Tomer Avidor
Aviv Keren
Nadav Tal-Israel
Daniel Benditkis
Liron Mor Yosef
Itai Zeitak
CLLFedML
145
228
0
17 Oct 2019
Orthogonal Gradient Descent for Continual Learning
Orthogonal Gradient Descent for Continual Learning
Mehrdad Farajtabar
Navid Azizan
Alex Mott
Ang Li
CLL
133
376
0
15 Oct 2019
Embodiment dictates learnability in neural controllers
Embodiment dictates learnability in neural controllers
Joshua P. Powers
Ryan Grindle
Sam Kriegman
Lapo Frati
Nick Cheney
Josh Bongard
60
5
0
15 Oct 2019
Compacting, Picking and Growing for Unforgetting Continual Learning
Compacting, Picking and Growing for Unforgetting Continual Learning
Steven C. Y. Hung
Cheng-Hao Tu
Cheng-En Wu
Chien-Hung Chen
Yi-Ming Chan
Chu-Song Chen
CLL
134
318
0
15 Oct 2019
Pathological spectra of the Fisher information metric and its variants
  in deep neural networks
Pathological spectra of the Fisher information metric and its variants in deep neural networks
Ryo Karakida
S. Akaho
S. Amari
84
28
0
14 Oct 2019
A Theory of Relation Learning and Cross-domain Generalization
A Theory of Relation Learning and Cross-domain Generalization
L. Doumas
Guillermo Puebla
Andrea E. Martin
J. Hummel
NAI
123
30
0
11 Oct 2019
On-chip Few-shot Learning with Surrogate Gradient Descent on a
  Neuromorphic Processor
On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor
Kenneth Stewart
Garrick Orchard
S. Shrestha
Emre Neftci
BDL
83
26
0
11 Oct 2019
Learning to Remember from a Multi-Task Teacher
Learning to Remember from a Multi-Task Teacher
Yuwen Xiong
Mengye Ren
R. Urtasun
CLLKELMOOD
86
4
0
10 Oct 2019
Continual Learning Using Bayesian Neural Networks
Continual Learning Using Bayesian Neural Networks
Honglin Li
Payam Barnaghi
Shirin Enshaeifar
F. Ganz
BDL
68
39
0
09 Oct 2019
Derivative-Free & Order-Robust Optimisation
Derivative-Free & Order-Robust Optimisation
Victor Gabillon
Rasul Tutunov
Michal Valko
Haitham Bou-Ammar
41
6
0
09 Oct 2019
Ctrl-Z: Recovering from Instability in Reinforcement Learning
Ctrl-Z: Recovering from Instability in Reinforcement Learning
Vibhavari Dasagi
Jake Bruce
T. Peynot
Jurgen Leitner
61
10
0
09 Oct 2019
DEVDAN: Deep Evolving Denoising Autoencoder
DEVDAN: Deep Evolving Denoising Autoencoder
Andri Ashfahani
Mahardhika Pratama
E. Lughofer
Yew-Soon Ong
109
99
0
08 Oct 2019
Automatic Construction of Multi-layer Perceptron Network from Streaming
  Examples
Automatic Construction of Multi-layer Perceptron Network from Streaming Examples
Mahardhika Pratama
Choiru Za’in
Andri Ashfahani
Yew-Soon Ong
Weiping Ding
AI4CE
137
52
0
08 Oct 2019
Continual Learning in Neural Networks
Continual Learning in Neural Networks
Rahaf Aljundi
CLL
101
34
0
07 Oct 2019
REMIND Your Neural Network to Prevent Catastrophic Forgetting
REMIND Your Neural Network to Prevent Catastrophic Forgetting
Tyler L. Hayes
Kushal Kafle
Robik Shrestha
Manoj Acharya
Christopher Kanan
CLL
160
303
0
06 Oct 2019
Self-supervised learning for autonomous vehicles perception: A
  conciliation between analytical and learning methods
Self-supervised learning for autonomous vehicles perception: A conciliation between analytical and learning methods
Florent Chiaroni
Zhenyang Li
Weitong Chen
Frederic Dufaux
SSL
67
15
0
03 Oct 2019
Incremental learning for the detection and classification of
  GAN-generated images
Incremental learning for the detection and classification of GAN-generated images
Francesco Marra
Cristiano Saltori
G. Boato
Luisa Verdoliva
134
134
0
03 Oct 2019
Domain Expansion in DNN-based Acoustic Models for Robust Speech
  Recognition
Domain Expansion in DNN-based Acoustic Models for Robust Speech Recognition
Shahram Ghorbani
S. Khorram
John H. L. Hansen
51
19
0
01 Oct 2019
Gated Linear Networks
Gated Linear Networks
William H. Guss
Tor Lattimore
David Budden
Avishkar Bhoopchand
Christopher Mattern
...
Ruslan Salakhutdinov
Jianan Wang
Peter Toth
Simon Schmitt
Marcus Hutter
AI4CE
133
41
0
30 Sep 2019
Blessing of dimensionality at the edge
Blessing of dimensionality at the edge
I. Tyukin
Alexander N. Gorban
A. McEwan
Sepehr Meshkinfamfard
Lixin Tang
61
8
0
30 Sep 2019
Test-Time Training with Self-Supervision for Generalization under
  Distribution Shifts
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
Yu Sun
Xiaolong Wang
Zhuang Liu
John Miller
Alexei A. Efros
Moritz Hardt
TTAOOD
112
96
0
29 Sep 2019
Towards Understanding the Transferability of Deep Representations
Towards Understanding the Transferability of Deep Representations
Hong Liu
Mingsheng Long
Jianmin Wang
Michael I. Jordan
68
26
0
26 Sep 2019
Deep Learning for RF Signal Classification in Unknown and Dynamic
  Spectrum Environments
Deep Learning for RF Signal Classification in Unknown and Dynamic Spectrum Environments
Yi Shi
Kemal Davaslioglu
Y. Sagduyu
William C. Headley
Michael Fowler
Gilbert Green
66
93
0
25 Sep 2019
Improved Schemes for Episodic Memory-based Lifelong Learning
Improved Schemes for Episodic Memory-based Lifelong Learning
Yunhui Guo
Mingrui Liu
Tianbao Yang
Tajana Simunic
CLL
88
9
0
25 Sep 2019
Towards continuous learning for glioma segmentation with elastic weight
  consolidation
Towards continuous learning for glioma segmentation with elastic weight consolidation
Karin A. van Garderen
S. V. D. Voort
Fatih Incekara
M. Smits
S. Klein
CLL
48
20
0
25 Sep 2019
Mixout: Effective Regularization to Finetune Large-scale Pretrained
  Language Models
Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models
Cheolhyoung Lee
Kyunghyun Cho
Wanmo Kang
MoE
318
209
0
25 Sep 2019
AHA! an Ártificial Hippocampal Algorithm' for Episodic Machine Learning
AHA! an Ártificial Hippocampal Algorithm' for Episodic Machine Learning
Gideon Kowadlo
Abdelrahman Ahmed
D. Rawlinson
76
11
0
23 Sep 2019
Multi-task Learning and Catastrophic Forgetting in Continual
  Reinforcement Learning
Multi-task Learning and Catastrophic Forgetting in Continual Reinforcement Learning
Joao G. Ribeiro
Francisco S. Melo
João Dias
CLL
62
12
0
22 Sep 2019
A continual learning survey: Defying forgetting in classification tasks
A continual learning survey: Defying forgetting in classification tasks
Matthias De Lange
Rahaf Aljundi
Marc Masana
Sarah Parisot
Xu Jia
A. Leonardis
Greg Slabaugh
Tinne Tuytelaars
CLLKELM
83
246
0
18 Sep 2019
Analyzing machine-learned representations: A natural language case study
Analyzing machine-learned representations: A natural language case study
Ishita Dasgupta
Demi Guo
S. Gershman
Noah D. Goodman
NAI
80
13
0
12 Sep 2019
Modular Meta-Learning with Shrinkage
Modular Meta-Learning with Shrinkage
Yutian Chen
A. Friesen
Feryal M. P. Behbahani
Arnaud Doucet
David Budden
Matthew W. Hoffman
Nando de Freitas
KELMOffRL
117
35
0
12 Sep 2019
Meta-learnt priors slow down catastrophic forgetting in neural networks
Meta-learnt priors slow down catastrophic forgetting in neural networks
G. Spigler
CLL
55
10
0
09 Sep 2019
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