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On the Effectiveness of Equivariant Regularization for Robust Online
  Continual Learning

On the Effectiveness of Equivariant Regularization for Robust Online Continual Learning

5 May 2023
Lorenzo Bonicelli
Matteo Boschini
Emanuele Frascaroli
Angelo Porrello
M. Pennisi
Giovanni Bellitto
S. Palazzo
C. Spampinato
Simone Calderara
    CLL
ArXiv (abs)PDFHTML

Papers citing "On the Effectiveness of Equivariant Regularization for Robust Online Continual Learning"

42 / 42 papers shown
Title
Towards Efficient and Effective Self-Supervised Learning of Visual
  Representations
Towards Efficient and Effective Self-Supervised Learning of Visual Representations
Sravanti Addepalli
Kaushal Bhogale
Priyam Dey
R. Venkatesh Babu
SSL
39
9
0
18 Oct 2022
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning
Lorenzo Bonicelli
Matteo Boschini
Angelo Porrello
C. Spampinato
Simone Calderara
CLL
61
48
0
12 Oct 2022
A simple but strong baseline for online continual learning: Repeated
  Augmented Rehearsal
A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal
Yaqian Zhang
Bernhard Pfahringer
E. Frank
Albert Bifet
N. Lim
Yunzhe Jia
CLL
161
44
0
28 Sep 2022
Entropy-based Stability-Plasticity for Lifelong Learning
Entropy-based Stability-Plasticity for Lifelong Learning
Vladimir Araujo
J. Hurtado
Alvaro Soto
Marie-Francine Moens
CLL
64
15
0
18 Apr 2022
R-DFCIL: Relation-Guided Representation Learning for Data-Free Class
  Incremental Learning
R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning
Qiankun Gao
Chen Zhao
Guohao Li
Jian Zhang
CLL
61
70
0
24 Mar 2022
Class-Incremental Continual Learning into the eXtended DER-verse
Class-Incremental Continual Learning into the eXtended DER-verse
Matteo Boschini
Lorenzo Bonicelli
Pietro Buzzega
Angelo Porrello
Simone Calderara
CLLBDL
92
141
0
03 Jan 2022
Self-Supervised Models are Continual Learners
Self-Supervised Models are Continual Learners
Enrico Fini
Victor G. Turrisi da Costa
Xavier Alameda-Pineda
Elisa Ricci
Alahari Karteek
Julien Mairal
BDLCLLSSL
88
166
0
08 Dec 2021
Equivariant Contrastive Learning
Equivariant Contrastive Learning
Rumen Dangovski
Li Jing
Charlotte Loh
Seung-Jun Han
Akash Srivastava
Brian Cheung
Pulkit Agrawal
Marin Soljacic
88
79
0
28 Oct 2021
Towards Better Plasticity-Stability Trade-off in Incremental Learning: A
  Simple Linear Connector
Towards Better Plasticity-Stability Trade-off in Incremental Learning: A Simple Linear Connector
Guoliang Lin
Hanlu Chu
Hanjiang Lai
MoMeCLL
59
49
0
15 Oct 2021
Continual Learning on Noisy Data Streams via Self-Purified Replay
Continual Learning on Noisy Data Streams via Self-Purified Replay
C. Kim
Jinseo Jeong
Sang-chul Moon
Gunhee Kim
CLL
103
41
0
14 Oct 2021
DualNet: Continual Learning, Fast and Slow
DualNet: Continual Learning, Fast and Slow
Quang Pham
Chenghao Liu
Guosheng Lin
CLL
131
45
0
01 Oct 2021
Kernel Continual Learning
Kernel Continual Learning
Mohammad Mahdi Derakhshani
Xiantong Zhen
Ling Shao
Cees G. M. Snoek
CLLBDLVLM
101
38
0
12 Jul 2021
Co$^2$L: Contrastive Continual Learning
Co2^22L: Contrastive Continual Learning
Hyuntak Cha
Jaeho Lee
Jinwoo Shin
CLLSSLVLM
116
306
0
28 Jun 2021
Always Be Dreaming: A New Approach for Data-Free Class-Incremental
  Learning
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning
James Smith
Yen-Chang Hsu
John C. Balloch
Yilin Shen
Hongxia Jin
Z. Kira
CLL
106
168
0
17 Jun 2021
VICReg: Variance-Invariance-Covariance Regularization for
  Self-Supervised Learning
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning
Adrien Bardes
Jean Ponce
Yann LeCun
SSLDML
153
944
0
11 May 2021
New Insights on Reducing Abrupt Representation Change in Online
  Continual Learning
New Insights on Reducing Abrupt Representation Change in Online Continual Learning
Lucas Caccia
Rahaf Aljundi
Nader Asadi
Tinne Tuytelaars
Joelle Pineau
Eugene Belilovsky
CLL
89
201
0
11 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
347
2,362
0
04 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
98
418
0
25 Jan 2021
Exploring Simple Siamese Representation Learning
Exploring Simple Siamese Representation Learning
Xinlei Chen
Kaiming He
SSL
258
4,072
0
20 Nov 2020
Continual Prototype Evolution: Learning Online from Non-Stationary Data
  Streams
Continual Prototype Evolution: Learning Online from Non-Stationary Data Streams
Matthias De Lange
Tinne Tuytelaars
CLL
53
206
0
02 Sep 2020
Supervised Contrastive Learning
Supervised Contrastive Learning
Prannay Khosla
Piotr Teterwak
Chen Wang
Aaron Sarna
Yonglong Tian
Phillip Isola
Aaron Maschinot
Ce Liu
Dilip Krishnan
SSL
165
4,572
0
23 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
85
922
0
15 Apr 2020
Adversarial Continual Learning
Adversarial Continual Learning
Sayna Ebrahimi
Franziska Meier
Roberto Calandra
Trevor Darrell
Marcus Rohrbach
CLLVLM
195
200
0
21 Mar 2020
Using Hindsight to Anchor Past Knowledge in Continual Learning
Using Hindsight to Anchor Past Knowledge in Continual Learning
Arslan Chaudhry
Albert Gordo
P. Dokania
Philip Torr
David Lopez-Paz
KELMCLL
96
237
0
19 Feb 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
381
18,866
0
13 Feb 2020
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
78
547
0
11 Aug 2019
Importance Estimation for Neural Network Pruning
Importance Estimation for Neural Network Pruning
Pavlo Molchanov
Arun Mallya
Stephen Tyree
I. Frosio
Jan Kautz
3DPC
81
885
0
25 Jun 2019
Boosting Few-Shot Visual Learning with Self-Supervision
Boosting Few-Shot Visual Learning with Self-Supervision
Spyros Gidaris
Andrei Bursuc
N. Komodakis
P. Pérez
Matthieu Cord
SSL
79
404
0
12 Jun 2019
Gradient based sample selection for online continual learning
Gradient based sample selection for online continual learning
Rahaf Aljundi
Min Lin
Baptiste Goujaud
Yoshua Bengio
BDLCLL
104
837
0
20 Mar 2019
Filter Pruning via Geometric Median for Deep Convolutional Neural
  Networks Acceleration
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration
Yang He
Ping Liu
Ziwei Wang
Zhilan Hu
Yi Yang
AAML3DPC
96
1,049
0
01 Nov 2018
Learning to Learn without Forgetting by Maximizing Transfer and
  Minimizing Interference
Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference
Matthew D Riemer
Ignacio Cases
R. Ajemian
Miao Liu
Irina Rish
Y. Tu
Gerald Tesauro
CLL
95
788
0
29 Oct 2018
Towards Robust Evaluations of Continual Learning
Towards Robust Evaluations of Continual Learning
Sebastian Farquhar
Y. Gal
CLL
93
308
0
24 May 2018
Unsupervised Representation Learning by Predicting Image Rotations
Unsupervised Representation Learning by Predicting Image Rotations
Spyros Gidaris
Praveer Singh
N. Komodakis
OODSSLDRL
264
3,298
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
KELMCLL
203
2,896
0
21 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
105
1,145
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
111
1,081
0
04 Jan 2018
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
107
1,308
0
15 Nov 2017
Gradient Episodic Memory for Continual Learning
Gradient Episodic Memory for Continual Learning
David Lopez-Paz
MarcÁurelio Ranzato
VLMCLL
131
2,735
0
26 Jun 2017
iCaRL: Incremental Classifier and Representation Learning
iCaRL: Incremental Classifier and Representation Learning
Sylvestre-Alvise Rebuffi
Alexander Kolesnikov
G. Sperl
Christoph H. Lampert
CLLOOD
160
3,781
0
23 Nov 2016
Learning without Forgetting
Learning without Forgetting
Zhizhong Li
Derek Hoiem
CLLOODSSL
308
4,428
0
29 Jun 2016
Unsupervised Learning of Visual Representations by Solving Jigsaw
  Puzzles
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
M. Noroozi
Paolo Favaro
SSL
177
2,985
0
30 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,426
0
10 Dec 2015
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