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Continual Learning in Sensor-based Human Activity Recognition: an
  Empirical Benchmark Analysis

Continual Learning in Sensor-based Human Activity Recognition: an Empirical Benchmark Analysis

19 April 2021
Saurav Jha
Martin Schiemer
F. Zambonelli
Juan Ye
ArXivPDFHTML

Papers citing "Continual Learning in Sensor-based Human Activity Recognition: an Empirical Benchmark Analysis"

43 / 43 papers shown
Title
Optimal Continual Learning has Perfect Memory and is NP-hard
Optimal Continual Learning has Perfect Memory and is NP-hard
Jeremias Knoblauch
Hisham Husain
Tom Diethe
CLL
115
105
0
09 Jun 2020
Continual Learning with Node-Importance based Adaptive Group Sparse
  Regularization
Continual Learning with Node-Importance based Adaptive Group Sparse Regularization
Sangwon Jung
Hongjoon Ahn
Sungmin Cha
Taesup Moon
CLL
48
125
0
30 Mar 2020
Incremental Learning In Online Scenario
Incremental Learning In Online Scenario
Jiangpeng He
Runyu Mao
Zeman Shao
Fengqing Zhu
CLL
68
151
0
30 Mar 2020
Deep Learning for Sensor-based Human Activity Recognition: Overview,
  Challenges and Opportunities
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
Kaixuan Chen
Dalin Zhang
Lina Yao
Bin Guo
Zhiwen Yu
Yunhao Liu
HAI
59
632
0
21 Jan 2020
Adjusting Decision Boundary for Class Imbalanced Learning
Adjusting Decision Boundary for Class Imbalanced Learning
Byungju Kim
Junmo Kim
114
76
0
04 Dec 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
121
428
0
16 Nov 2019
Orthogonal Gradient Descent for Continual Learning
Orthogonal Gradient Descent for Continual Learning
Mehrdad Farajtabar
Navid Azizan
Alex Mott
Ang Li
CLL
92
365
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
54
309
0
15 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
108
300
0
06 Oct 2019
Contrastively Smoothed Class Alignment for Unsupervised Domain
  Adaptation
Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation
Shuyang Dai
Yu Cheng
Yizhe Zhang
Zhe Gan
Jingjing Liu
Lawrence Carin
38
28
0
11 Sep 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
79
183
0
23 Jul 2019
Large Scale Incremental Learning
Large Scale Incremental Learning
Yue Wu
Yinpeng Chen
Lijuan Wang
Yuancheng Ye
Zicheng Liu
Yandong Guo
Y. Fu
CLL
96
1,256
0
30 May 2019
A comprehensive, application-oriented study of catastrophic forgetting
  in DNNs
A comprehensive, application-oriented study of catastrophic forgetting in DNNs
Benedikt Pfülb
A. Gepperth
52
90
0
20 May 2019
Three scenarios for continual learning
Three scenarios for continual learning
Gido M. van de Ven
A. Tolias
CLL
94
891
0
15 Apr 2019
Learning to Remember: A Synaptic Plasticity Driven Framework for
  Continual Learning
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning
O. Ostapenko
M. Puscas
T. Klein
P. Jähnichen
Moin Nabi
CLL
149
302
0
05 Apr 2019
Few-Shot Self Reminder to Overcome Catastrophic Forgetting
Few-Shot Self Reminder to Overcome Catastrophic Forgetting
Junfeng Wen
Yanshuai Cao
Ruitong Huang
CLL
43
24
0
03 Dec 2018
Efficient Lifelong Learning with A-GEM
Efficient Lifelong Learning with A-GEM
Arslan Chaudhry
MarcÁurelio Ranzato
Marcus Rohrbach
Mohamed Elhoseiny
CLL
199
1,453
0
02 Dec 2018
Learning without Memorizing
Learning without Memorizing
Prithviraj Dhar
Rajat Vikram Singh
Kuan-Chuan Peng
Ziyan Wu
Rama Chellappa
CLL
85
482
0
20 Nov 2018
Greedy Frank-Wolfe Algorithm for Exemplar Selection
Greedy Frank-Wolfe Algorithm for Exemplar Selection
M. Doan
Armin Askari
Sutharshan Rajasegarar
L. Ghaoui
60
2
0
06 Nov 2018
Closed-Loop Memory GAN for Continual Learning
Closed-Loop Memory GAN for Continual Learning
A. Rios
Laurent Itti
BDL
VLM
65
22
0
03 Nov 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
30
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
85
1,157
0
25 Jul 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
46
16
0
25 May 2018
Towards Robust Evaluations of Continual Learning
Towards Robust Evaluations of Continual Learning
Sebastian Farquhar
Y. Gal
CLL
90
307
0
24 May 2018
Continual Lifelong Learning with Neural Networks: A Review
Continual Lifelong Learning with Neural Networks: A Review
G. I. Parisi
Ronald Kemker
Jose L. Part
Christopher Kanan
S. Wermter
KELM
CLL
185
2,886
0
21 Feb 2018
Rotate your Networks: Better Weight Consolidation and Less Catastrophic
  Forgetting
Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting
Xialei Liu
Marc Masana
Luis Herranz
Joost van de Weijer
Antonio M. López
Andrew D. Bagdanov
CLL
81
275
0
08 Feb 2018
Riemannian Walk for Incremental Learning: Understanding Forgetting and
  Intransigence
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence
Arslan Chaudhry
P. Dokania
Thalaiyasingam Ajanthan
Philip Torr
CLL
102
1,139
0
30 Jan 2018
On Quadratic Penalties in Elastic Weight Consolidation
On Quadratic Penalties in Elastic Weight Consolidation
Ferenc Huszár
60
98
0
11 Dec 2017
Memory Aware Synapses: Learning what (not) to forget
Memory Aware Synapses: Learning what (not) to forget
Rahaf Aljundi
F. Babiloni
Mohamed Elhoseiny
Marcus Rohrbach
Tinne Tuytelaars
KELM
CLL
85
1,633
0
27 Nov 2017
Measuring Catastrophic Forgetting in Neural Networks
Measuring Catastrophic Forgetting in Neural Networks
Ronald Kemker
Marc McClure
Angelina Abitino
Tyler L. Hayes
Christopher Kanan
CLL
105
719
0
07 Aug 2017
Lifelong Learning with Dynamically Expandable Networks
Lifelong Learning with Dynamically Expandable Networks
Jaehong Yoon
Eunho Yang
Jeongtae Lee
Sung Ju Hwang
CLL
121
1,222
0
04 Aug 2017
Deep Learning for Sensor-based Activity Recognition: A Survey
Deep Learning for Sensor-based Activity Recognition: A Survey
Jindong Wang
Yiqiang Chen
Shuji Hao
Xiaohui Peng
Lisha Hu
HAI
40
1,631
0
12 Jul 2017
Gradient Episodic Memory for Continual Learning
Gradient Episodic Memory for Continual Learning
David Lopez-Paz
MarcÁurelio Ranzato
VLM
CLL
127
2,711
0
26 Jun 2017
Continual Learning with Deep Generative Replay
Continual Learning with Deep Generative Replay
Hanul Shin
Jung Kwon Lee
Jaehong Kim
Jiwon Kim
KELM
CLL
80
2,071
0
24 May 2017
Overcoming catastrophic forgetting in neural networks
Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
...
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
CLL
357
7,504
0
02 Dec 2016
iCaRL: Incremental Classifier and Representation Learning
iCaRL: Incremental Classifier and Representation Learning
Sylvestre-Alvise Rebuffi
Alexander Kolesnikov
G. Sperl
Christoph H. Lampert
CLL
OOD
145
3,755
0
23 Nov 2016
Expert Gate: Lifelong Learning with a Network of Experts
Expert Gate: Lifelong Learning with a Network of Experts
Rahaf Aljundi
Punarjay Chakravarty
Tinne Tuytelaars
CLL
75
660
0
18 Nov 2016
Learning without Forgetting
Learning without Forgetting
Zhizhong Li
Derek Hoiem
CLL
OOD
SSL
292
4,402
0
29 Jun 2016
Progressive Neural Networks
Progressive Neural Networks
Andrei A. Rusu
Neil C. Rabinowitz
Guillaume Desjardins
Hubert Soyer
J. Kirkpatrick
Koray Kavukcuoglu
Razvan Pascanu
R. Hadsell
CLL
AI4CE
77
2,446
0
15 Jun 2016
Deep neural networks are robust to weight binarization and other
  non-linear distortions
Deep neural networks are robust to weight binarization and other non-linear distortions
P. Merolla
R. Appuswamy
John V. Arthur
S. K. Esser
D. Modha
OOD
MQ
79
96
0
07 Jun 2016
Net2Net: Accelerating Learning via Knowledge Transfer
Net2Net: Accelerating Learning via Knowledge Transfer
Tianqi Chen
Ian Goodfellow
Jonathon Shlens
159
668
0
18 Nov 2015
BinaryConnect: Training Deep Neural Networks with binary weights during
  propagations
BinaryConnect: Training Deep Neural Networks with binary weights during propagations
Matthieu Courbariaux
Yoshua Bengio
J. David
MQ
209
2,985
0
02 Nov 2015
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
347
19,643
0
09 Mar 2015
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