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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
Coresets via Bilevel Optimization for Continual Learning and Streaming
Coresets via Bilevel Optimization for Continual Learning and Streaming
Zalan Borsos
Mojmír Mutný
Andreas Krause
CLL
115
241
0
06 Jun 2020
Brain-inspired global-local learning incorporated with neuromorphic
  computing
Brain-inspired global-local learning incorporated with neuromorphic computing
Yujie Wu
R. Zhao
Jun Zhu
F. Chen
Mingkun Xu
...
Hao Zheng
Jing Pei
Youhui Zhang
Mingguo Zhao
Luping Shi
82
89
0
05 Jun 2020
Balancing Reinforcement Learning Training Experiences in Interactive
  Information Retrieval
Balancing Reinforcement Learning Training Experiences in Interactive Information Retrieval
Lim Chen
Zhiwen Tang
G. Yang
62
10
0
05 Jun 2020
Continual Learning of Predictive Models in Video Sequences via
  Variational Autoencoders
Continual Learning of Predictive Models in Video Sequences via Variational Autoencoders
Damian Campo
Giulia Slavic
Mohamad Baydoun
L. Marcenaro
C. Regazzoni
CLLBDL
34
3
0
02 Jun 2020
Artificial neural networks for neuroscientists: A primer
Artificial neural networks for neuroscientists: A primer
G. R. Yang
Xiao-Jing Wang
114
255
0
01 Jun 2020
Machine Learning for Condensed Matter Physics
Machine Learning for Condensed Matter Physics
Edwin Bedolla
L. C. Padierna
R. Castañeda-Priego
AI4CE
84
68
0
28 May 2020
English Intermediate-Task Training Improves Zero-Shot Cross-Lingual
  Transfer Too
English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too
Jason Phang
Iacer Calixto
Phu Mon Htut
Yada Pruksachatkun
Haokun Liu
Clara Vania
Katharina Kann
Samuel R. Bowman
LRM
89
66
0
26 May 2020
A reinforcement learning approach to rare trajectory sampling
A reinforcement learning approach to rare trajectory sampling
Dominic C. Rose
Jamie F. Mair
J. P. Garrahan
94
52
0
26 May 2020
Continual Local Training for Better Initialization of Federated Models
Continual Local Training for Better Initialization of Federated Models
Xin Yao
Lifeng Sun
FedML
67
72
0
26 May 2020
Unsupervised Domain Adaptation in Semantic Segmentation: a Review
Unsupervised Domain Adaptation in Semantic Segmentation: a Review
Marco Toldo
Andrea Maracani
Umberto Michieli
Pietro Zanuttigh
SSeg
165
185
0
21 May 2020
A Further Study of Unsupervised Pre-training for Transformer Based
  Speech Recognition
A Further Study of Unsupervised Pre-training for Transformer Based Speech Recognition
Dongwei Jiang
Wubo Li
Ruixiong Zhang
Miao Cao
Ne Luo
Yang Han
Wei Zou
Xiangang Li
SSL
79
29
0
20 May 2020
Prediction error-driven memory consolidation for continual learning. On
  the case of adaptive greenhouse models
Prediction error-driven memory consolidation for continual learning. On the case of adaptive greenhouse models
G. Schillaci
L. Miranda
Uwe Schmidt
CLL
39
9
0
19 May 2020
Controlled Language and Baby Turing Test for General Conversational
  Intelligence
Controlled Language and Baby Turing Test for General Conversational Intelligence
Anton Kolonin
ELM
26
1
0
19 May 2020
Self-Supervised Deep Visual Odometry with Online Adaptation
Self-Supervised Deep Visual Odometry with Online Adaptation
Shunkai Li
Xin Wang
Yingdian Cao
Fei Xue
Zike Yan
H. Zha
TTA
65
72
0
13 May 2020
Class-Incremental Learning for Semantic Segmentation Re-Using Neither
  Old Data Nor Old Labels
Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels
Marvin Klingner
Andreas Bär
Philipp Donn
Tim Fingscheidt
CLL
169
45
0
12 May 2020
Neural Polysynthetic Language Modelling
Neural Polysynthetic Language Modelling
Lane Schwartz
Francis M. Tyers
Lori S. Levin
Christo Kirov
Patrick Littell
...
Vasilisa Andriyanets
Aldrian Obaja Muis
Naoki Otani
J. Park
Zhisong Zhang
73
24
0
11 May 2020
Continual Learning Using Multi-view Task Conditional Neural Networks
Continual Learning Using Multi-view Task Conditional Neural Networks
Honglin Li
Payam Barnaghi
Shirin Enshaeifar
F. Ganz
CLL
58
1
0
08 May 2020
Incremental Few-Shot Object Detection for Robotics
Incremental Few-Shot Object Detection for Robotics
Yiting Li
H. Zhu
Sichao Tian
Fan Feng
Jun Ma
C. Teo
Cheng Xiang
P. Vadakkepat
T. Lee
ObjDCLL
98
11
0
06 May 2020
Explaining How Deep Neural Networks Forget by Deep Visualization
Explaining How Deep Neural Networks Forget by Deep Visualization
Giang Nguyen
Shuan Chen
Tae Joon Jun
Daeyoung Kim
AAML
83
10
0
03 May 2020
Physical reservoir computing -- An introductory perspective
Physical reservoir computing -- An introductory perspective
Kohei Nakajima
99
313
0
03 May 2020
Sources of Transfer in Multilingual Named Entity Recognition
Sources of Transfer in Multilingual Named Entity Recognition
David Mueller
Nicholas Andrews
Mark Dredze
55
21
0
02 May 2020
A neural network walks into a lab: towards using deep nets as models for
  human behavior
A neural network walks into a lab: towards using deep nets as models for human behavior
Wei-Ying Ma
B. Peters
HAIAI4CE
96
55
0
02 May 2020
Visually Grounded Continual Learning of Compositional Phrases
Visually Grounded Continual Learning of Compositional Phrases
Xisen Jin
Junyi Du
Arka Sadhu
Ram Nevatia
Xiang Ren
CLL
86
4
0
02 May 2020
Intermediate-Task Transfer Learning with Pretrained Models for Natural
  Language Understanding: When and Why Does It Work?
Intermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: When and Why Does It Work?
Yada Pruksachatkun
Jason Phang
Haokun Liu
Phu Mon Htut
Xiaoyi Zhang
Richard Yuanzhe Pang
Clara Vania
Katharina Kann
Samuel R. Bowman
CLLLRM
90
197
0
01 May 2020
Addressing Catastrophic Forgetting in Few-Shot Problems
Addressing Catastrophic Forgetting in Few-Shot Problems
Pauching Yap
H. Ritter
David Barber
CLLBDL
108
19
0
30 Apr 2020
Importance Driven Continual Learning for Segmentation Across Domains
Importance Driven Continual Learning for Segmentation Across Domains
S. Özgün
Anne-Marie Rickmann
Abhijit Guha Roy
Christian Wachinger
OODCLL
67
33
0
30 Apr 2020
Consistent Video Depth Estimation
Consistent Video Depth Estimation
Xuan Luo
Jia-Bin Huang
Richard Szeliski
Kevin Blackburn-Matzen
Johannes Kopf
3DVMDE
98
338
0
30 Apr 2020
Don't Use English Dev: On the Zero-Shot Cross-Lingual Evaluation of
  Contextual Embeddings
Don't Use English Dev: On the Zero-Shot Cross-Lingual Evaluation of Contextual Embeddings
Phillip Keung
Y. Lu
Julian Salazar
Vikas Bhardwaj
93
14
0
30 Apr 2020
Elastic weight consolidation for better bias inoculation
Elastic weight consolidation for better bias inoculation
James Thorne
Andreas Vlachos
54
11
0
29 Apr 2020
Exploring Fine-tuning Techniques for Pre-trained Cross-lingual Models
  via Continual Learning
Exploring Fine-tuning Techniques for Pre-trained Cross-lingual Models via Continual Learning
Zihan Liu
Genta Indra Winata
Andrea Madotto
Pascale Fung
CLL
92
18
0
29 Apr 2020
Neural Network Retraining for Model Serving
Neural Network Retraining for Model Serving
Diego Klabjan
Xiaofeng Zhu
CLL
97
10
0
29 Apr 2020
Continual Deep Learning by Functional Regularisation of Memorable Past
Continual Deep Learning by Functional Regularisation of Memorable Past
Pingbo Pan
S. Swaroop
Alexander Immer
Runa Eschenhagen
Richard Turner
Mohammad Emtiyaz Khan
KELMCLL
109
144
0
29 Apr 2020
PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning
PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning
Arthur Douillard
Matthieu Cord
Charles Ollion
Thomas Robert
Eduardo Valle
CLL
74
6
0
28 Apr 2020
Assessing the Bilingual Knowledge Learned by Neural Machine Translation
  Models
Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models
Shilin He
Xing Wang
Shuming Shi
Michael R. Lyu
Zhaopeng Tu
81
5
0
28 Apr 2020
Lifelong Learning Process: Self-Memory Supervising and Dynamically
  Growing Networks
Lifelong Learning Process: Self-Memory Supervising and Dynamically Growing Networks
You-Cheng Huang
Tangchen Wei
Jundong Zhou
Chunxin Yang
CLL
18
0
0
27 Apr 2020
Natural Way to Overcome the Catastrophic Forgetting in Neural Networks
Natural Way to Overcome the Catastrophic Forgetting in Neural Networks
Alexey Kutalev
CLL
44
8
0
27 Apr 2020
Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less
  Forgetting
Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting
Sanyuan Chen
Yutai Hou
Yiming Cui
Wanxiang Che
Ting Liu
Xiangzhan Yu
KELMCLL
157
226
0
27 Apr 2020
IROS 2019 Lifelong Robotic Vision Challenge -- Lifelong Object
  Recognition Report
IROS 2019 Lifelong Robotic Vision Challenge -- Lifelong Object Recognition Report
Qi She
Fan Feng
Qi Liu
Rosa H. M. Chan
Xinyue Hao
...
Di Xie
Yangsheng Xu
Lin Yang
Qiaoyong Zhong
Liguang Zhou
33
2
0
26 Apr 2020
A Tailored Pre-Training Model for Task-Oriented Dialog Generation
A Tailored Pre-Training Model for Task-Oriented Dialog Generation
Jing Gu
Qingyang Wu
Chongruo Wu
Weiyan Shi
Zhou Yu
78
19
0
24 Apr 2020
Dropout as an Implicit Gating Mechanism For Continual Learning
Dropout as an Implicit Gating Mechanism For Continual Learning
Seyed Iman Mirzadeh
Mehrdad Farajtabar
H. Ghasemzadeh
CLL
74
43
0
24 Apr 2020
Few-Shot Class-Incremental Learning
Few-Shot Class-Incremental Learning
Xiaoyu Tao
Xiaopeng Hong
Xinyuan Chang
Songlin Dong
Xing Wei
Yihong Gong
CLL
123
419
0
23 Apr 2020
Continual Learning of Object Instances
Continual Learning of Object Instances
Kishan Parshotam
Mert Kilickaya
CLL
61
4
0
22 Apr 2020
Continual Learning using a Bayesian Nonparametric Dictionary of Weight
  Factors
Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors
Nikhil Mehta
Kevin J. Liang
Vinay K Verma
Lawrence Carin
CLL
110
5
0
21 Apr 2020
Domain-Guided Task Decomposition with Self-Training for Detecting
  Personal Events in Social Media
Domain-Guided Task Decomposition with Self-Training for Detecting Personal Events in Social Media
Payam Karisani
Joyce C. Ho
Eugene Agichtein
49
15
0
21 Apr 2020
EGFC: Evolving Gaussian Fuzzy Classifier from Never-Ending
  Semi-Supervised Data Streams -- With Application to Power Quality Disturbance
  Detection and Classification
EGFC: Evolving Gaussian Fuzzy Classifier from Never-Ending Semi-Supervised Data Streams -- With Application to Power Quality Disturbance Detection and Classification
Daniel F Leite
Leticia Decker
Marcio Santana
P. Souza
35
16
0
17 Apr 2020
Continual Reinforcement Learning with Multi-Timescale Replay
Continual Reinforcement Learning with Multi-Timescale Replay
Christos Kaplanis
Claudia Clopath
Murray Shanahan
CLL
69
15
0
16 Apr 2020
Continual Learning with Extended Kronecker-factored Approximate
  Curvature
Continual Learning with Extended Kronecker-factored Approximate Curvature
Janghyeon Lee
H. Hong
Donggyu Joo
Junmo Kim
CLL
131
56
0
16 Apr 2020
Dark Experience for General Continual Learning: a Strong, Simple
  Baseline
Dark Experience for General Continual Learning: a Strong, Simple Baseline
Pietro Buzzega
Matteo Boschini
Angelo Porrello
Davide Abati
Simone Calderara
BDLCLL
114
929
0
15 Apr 2020
Continual Learning for Anomaly Detection in Surveillance Videos
Continual Learning for Anomaly Detection in Surveillance Videos
Keval Doshi
Y. Yilmaz
407
110
0
15 Apr 2020
Defining Benchmarks for Continual Few-Shot Learning
Defining Benchmarks for Continual Few-Shot Learning
Antreas Antoniou
Massimiliano Patacchiola
Mateusz Ochal
Amos Storkey
61
38
0
15 Apr 2020
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