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Continual Learning with Deep Streaming Regularized Discriminant Analysis

Continual Learning with Deep Streaming Regularized Discriminant Analysis

15 September 2023
Joe Khawand
P. Hanappe
David Colliaux
    CLL
ArXiv (abs)PDFHTML

Papers citing "Continual Learning with Deep Streaming Regularized Discriminant Analysis"

21 / 21 papers shown
Title
Sustainable Artificial Intelligence through Continual Learning
Sustainable Artificial Intelligence through Continual Learning
Andrea Cossu
M. Ziosi
Vincenzo Lomonaco
CLL
34
6
0
17 Nov 2021
Continual Learning for Real-World Autonomous Systems: Algorithms,
  Challenges and Frameworks
Continual Learning for Real-World Autonomous Systems: Algorithms, Challenges and Frameworks
Khadija Shaheen
Muhammad Abdullah Hanif
Osman Hasan
Mohamed Bennai
CLL
78
93
0
26 May 2021
Supervised Contrastive Replay: Revisiting the Nearest Class Mean
  Classifier in Online Class-Incremental Continual Learning
Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning
Zheda Mai
Ruiwen Li
Hyunwoo J. Kim
Scott Sanner
CLL
91
186
0
22 Mar 2021
Online Continual Learning in Image Classification: An Empirical Survey
Online Continual Learning in Image Classification: An Empirical Survey
Zheda Mai
Ruiwen Li
Jihwan Jeong
David Quispe
Hyunwoo J. Kim
Scott Sanner
VLMCLL
114
419
0
25 Jan 2021
Class-incremental learning: survey and performance evaluation on image
  classification
Class-incremental learning: survey and performance evaluation on image classification
Marc Masana
Xialei Liu
Bartlomiej Twardowski
Mikel Menta
Andrew D. Bagdanov
Joost van de Weijer
CLL
79
698
0
28 Oct 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
85
925
0
15 Apr 2020
Lifelong Machine Learning with Deep Streaming Linear Discriminant
  Analysis
Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis
Tyler L. Hayes
Christopher Kanan
CLL
70
143
0
04 Sep 2019
Online Continual Learning with Maximally Interfered Retrieval
Online Continual Learning with Maximally Interfered Retrieval
Rahaf Aljundi
Lucas Caccia
Eugene Belilovsky
Massimo Caccia
Min Lin
Laurent Charlin
Tinne Tuytelaars
CLL
85
549
0
11 Aug 2019
Large Scale Incremental Learning
Large Scale Incremental Learning
Yue Wu
Yinpeng Chen
Lijuan Wang
Yuancheng Ye
Zicheng Liu
Yandong Guo
Y. Fu
CLL
102
1,259
0
30 May 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DVMedIm
172
18,193
0
28 May 2019
Learn to Grow: A Continual Structure Learning Framework for Overcoming
  Catastrophic Forgetting
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting
Xilai Li
Yingbo Zhou
Tianfu Wu
R. Socher
Caiming Xiong
CLL
108
434
0
31 Mar 2019
Experience Replay for Continual Learning
Experience Replay for Continual Learning
David Rolnick
Arun Ahuja
Jonathan Richard Schwarz
Timothy Lillicrap
Greg Wayne
CLL
116
1,171
0
28 Nov 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
97
1,160
0
25 Jul 2018
FearNet: Brain-Inspired Model for Incremental Learning
FearNet: Brain-Inspired Model for Incremental Learning
Ronald Kemker
Christopher Kanan
CLL
126
480
0
28 Nov 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
KELMCLL
90
1,647
0
27 Nov 2017
Encoder Based Lifelong Learning
Encoder Based Lifelong Learning
Amal Rannen Triki
Rahaf Aljundi
Mathew B. Blaschko
Tinne Tuytelaars
CLL
110
321
0
06 Apr 2017
Overcoming Catastrophic Forgetting by Incremental Moment Matching
Overcoming Catastrophic Forgetting by Incremental Moment Matching
Sang-Woo Lee
Jin-Hwa Kim
Jaehyun Jun
Jung-Woo Ha
Byoung-Tak Zhang
CLL
72
679
0
24 Mar 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
374
7,572
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
CLLOOD
162
3,782
0
23 Nov 2016
Learning without Forgetting
Learning without Forgetting
Zhizhong Li
Derek Hoiem
CLLOODSSL
311
4,432
0
29 Jun 2016
How transferable are features in deep neural networks?
How transferable are features in deep neural networks?
J. Yosinski
Jeff Clune
Yoshua Bengio
Hod Lipson
OOD
238
8,363
0
06 Nov 2014
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