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Self-Supervised Training Enhances Online Continual Learning

Self-Supervised Training Enhances Online Continual Learning

25 March 2021
Jhair Gallardo
Tyler L. Hayes
Christopher Kanan
    CLL
ArXivPDFHTML

Papers citing "Self-Supervised Training Enhances Online Continual Learning"

50 / 62 papers shown
Title
CLDyB: Towards Dynamic Benchmarking for Continual Learning with Pre-trained Models
Shengzhuang Chen
Yikai Liao
Xiaoxiao Sun
Kede Ma
Ying Wei
87
0
0
06 Mar 2025
ScaleNet: An Unsupervised Representation Learning Method for Limited
  Information
ScaleNet: An Unsupervised Representation Learning Method for Limited Information
Huili Huang
M. M. Roozbahani
SSL
66
806
0
03 Oct 2023
Replay in Deep Learning: Current Approaches and Missing Biological
  Elements
Replay in Deep Learning: Current Approaches and Missing Biological Elements
Tyler L. Hayes
G. Krishnan
M. Bazhenov
H. Siegelmann
T. Sejnowski
Christopher Kanan
CLL
55
129
0
01 Apr 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Jure Zbontar
Li Jing
Ishan Misra
Yann LeCun
Stéphane Deny
SSL
177
2,321
0
04 Mar 2021
How Well Do Self-Supervised Models Transfer?
How Well Do Self-Supervised Models Transfer?
Linus Ericsson
Henry Gouk
Timothy M. Hospedales
SSL
70
275
0
26 Nov 2020
A Comprehensive Study of Class Incremental Learning Algorithms for
  Visual Tasks
A Comprehensive Study of Class Incremental Learning Algorithms for Visual Tasks
Eden Belouadah
Adrian Daniel Popescu
Ioannis Kanellos
CLL
34
215
0
03 Nov 2020
RODEO: Replay for Online Object Detection
RODEO: Replay for Online Object Detection
Manoj Acharya
Tyler L. Hayes
Christopher Kanan
ObjD
CLL
36
46
0
14 Aug 2020
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCL
SSL
78
4,032
0
17 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
231
6,718
0
13 Jun 2020
Prototypical Contrastive Learning of Unsupervised Representations
Prototypical Contrastive Learning of Unsupervised Representations
Junnan Li
Pan Zhou
Caiming Xiong
Guosheng Lin
SSL
DRL
100
965
0
11 May 2020
Few-Shot Class-Incremental Learning
Few-Shot Class-Incremental Learning
Xiaoyu Tao
Xiaopeng Hong
Xinyuan Chang
Songlin Dong
Xing Wei
Yihong Gong
CLL
61
408
0
23 Apr 2020
How Useful is Self-Supervised Pretraining for Visual Tasks?
How Useful is Self-Supervised Pretraining for Visual Tasks?
Alejandro Newell
Jia Deng
SSL
35
136
0
31 Mar 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
405
3,397
0
09 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
142
18,523
0
13 Feb 2020
Modeling the Background for Incremental Learning in Semantic
  Segmentation
Modeling the Background for Incremental Learning in Semantic Segmentation
Fabio Cermelli
Massimiliano Mancini
Samuel Rota Buló
Elisa Ricci
Barbara Caputo
CLL
VLM
28
279
0
03 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
75
11,959
0
13 Nov 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
91
297
0
06 Oct 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
CLL
KELM
20
246
0
18 Sep 2019
Lifelong Machine Learning with Deep Streaming Linear Discriminant
  Analysis
Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis
Tyler L. Hayes
Christopher Kanan
CLL
31
142
0
04 Sep 2019
Incremental Learning Techniques for Semantic Segmentation
Incremental Learning Techniques for Semantic Segmentation
Umberto Michieli
Pietro Zanuttigh
SSeg
CLL
VLM
69
234
0
31 Jul 2019
Growing a Brain: Fine-Tuning by Increasing Model Capacity
Growing a Brain: Fine-Tuning by Increasing Model Capacity
Yu-Xiong Wang
Deva Ramanan
M. Hebert
CLL
34
149
0
18 Jul 2019
Continual Learning for Robotics: Definition, Framework, Learning
  Strategies, Opportunities and Challenges
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges
Timothée Lesort
Vincenzo Lomonaco
Andrei Stoian
Davide Maltoni
David Filliat
Natalia Díaz Rodríguez
CLL
45
249
0
29 Jun 2019
Large Scale Incremental Learning
Large Scale Incremental Learning
Yue Wu
Yinpeng Chen
Lijuan Wang
Yuancheng Ye
Zicheng Liu
Yandong Guo
Y. Fu
CLL
70
1,241
0
30 May 2019
Class-incremental Learning via Deep Model Consolidation
Class-incremental Learning via Deep Model Consolidation
Junting Zhang
Jie Zhang
Shalini Ghosh
Dawei Li
Serafettin Tasci
Larry Heck
Heming Zhang
C.-C. Jay Kuo
CLL
29
336
0
19 Mar 2019
Selective Kernel Networks
Selective Kernel Networks
Xiang Li
Wenhai Wang
Xiaolin Hu
Jian Yang
58
2,015
0
15 Mar 2019
Efficient Lifelong Learning with A-GEM
Efficient Lifelong Learning with A-GEM
Arslan Chaudhry
MarcÁurelio Ranzato
Marcus Rohrbach
Mohamed Elhoseiny
CLL
147
1,438
0
02 Dec 2018
Learning without Memorizing
Learning without Memorizing
Prithviraj Dhar
Rajat Vikram Singh
Kuan-Chuan Peng
Ziyan Wu
Rama Chellappa
CLL
43
476
0
20 Nov 2018
Memory Efficient Experience Replay for Streaming Learning
Memory Efficient Experience Replay for Streaming Learning
Tyler L. Hayes
N. Cahill
Christopher Kanan
24
229
0
16 Sep 2018
DeeSIL: Deep-Shallow Incremental Learning
DeeSIL: Deep-Shallow Incremental Learning
Eden Belouadah
Adrian Daniel Popescu
CLL
63
73
0
20 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
63
1,149
0
25 Jul 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and
  Adversarial Attacks
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks
Kimin Lee
Kibok Lee
Honglak Lee
Jinwoo Shin
OODD
81
2,024
0
10 Jul 2018
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRL
SSL
191
10,152
0
10 Jul 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
61
329
0
20 May 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
50
363
0
27 Mar 2018
Unsupervised Representation Learning by Predicting Image Rotations
Unsupervised Representation Learning by Predicting Image Rotations
Spyros Gidaris
Praveer Singh
N. Komodakis
OOD
SSL
DRL
163
3,272
0
21 Mar 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
103
2,854
0
21 Feb 2018
Tree-CNN: A Hierarchical Deep Convolutional Neural Network for
  Incremental Learning
Tree-CNN: A Hierarchical Deep Convolutional Neural Network for Incremental Learning
Deboleena Roy
Priyadarshini Panda
Kaushik Roy
BDL
OOD
CLL
39
212
0
15 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
56
1,130
0
30 Jan 2018
Overcoming catastrophic forgetting with hard attention to the task
Overcoming catastrophic forgetting with hard attention to the task
Joan Serrà
Dídac Surís
M. Miron
Alexandros Karatzoglou
CLL
70
1,061
0
04 Jan 2018
FearNet: Brain-Inspired Model for Incremental Learning
FearNet: Brain-Inspired Model for Incremental Learning
Ronald Kemker
Christopher Kanan
CLL
68
476
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
KELM
CLL
66
1,613
0
27 Nov 2017
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
Arun Mallya
Svetlana Lazebnik
CLL
77
1,284
0
15 Nov 2017
Incremental Learning of Object Detectors without Catastrophic Forgetting
Incremental Learning of Object Detectors without Catastrophic Forgetting
K. Shmelkov
Cordelia Schmid
Alahari Karteek
ObjD
43
515
0
23 Aug 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
81
713
0
07 Aug 2017
Gradient Episodic Memory for Continual Learning
Gradient Episodic Memory for Continual Learning
David Lopez-Paz
MarcÁurelio Ranzato
VLM
CLL
60
2,684
0
26 Jun 2017
Enhancing The Reliability of Out-of-distribution Image Detection in
  Neural Networks
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks
Shiyu Liang
Yixuan Li
R. Srikant
UQCV
OODD
84
2,046
0
08 Jun 2017
Joint Geometrical and Statistical Alignment for Visual Domain Adaptation
Joint Geometrical and Statistical Alignment for Visual Domain Adaptation
Jing Zhang
W. Li
P. Ogunbona
36
498
0
16 May 2017
Incremental Learning Through Deep Adaptation
Incremental Learning Through Deep Adaptation
Amir Rosenfeld
John K. Tsotsos
CLL
31
276
0
11 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
194
7,410
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
78
3,713
0
23 Nov 2016
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