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2110.06976
Cited By
Representational Continuity for Unsupervised Continual Learning
13 October 2021
Divyam Madaan
Jaehong Yoon
Yuanchun Li
Yunxin Liu
Sung Ju Hwang
CLL
SSL
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Papers citing
"Representational Continuity for Unsupervised Continual Learning"
43 / 43 papers shown
Title
Prototype Augmented Hypernetworks for Continual Learning
Neil De La Fuente
Maria Pilligua
Daniel Vidal
Albin Soutiff
Cecilia Curreli
Daniel Cremers
Andrey Barsky
CLL
57
1
0
12 May 2025
BECAME: BayEsian Continual Learning with Adaptive Model MErging
Mei Li
Yuxiang Lu
Qinyan Dai
Suizhi Huang
Yue Ding
Hongtao Lu
CLL
MoMe
103
0
0
03 Apr 2025
A Plasticity-Aware Method for Continual Self-Supervised Learning in Remote Sensing
Lars Möllenbrok
Behnood Rasti
Begüm Demir
CLL
71
0
0
31 Mar 2025
Multiple Queries with Multiple Keys: A Precise Prompt Matching Paradigm for Prompt-based Continual Learning
Dunwei Tu
Huiyu Yi
Yanjie Wang
Baile Xu
Jian Zhao
Furao Shen
CLL
160
0
0
28 Jan 2025
PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis
Satoki Ishikawa
Makoto Yamada
Han Bao
Yuki Takezawa
118
0
0
23 May 2024
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Jure Zbontar
Li Jing
Ishan Misra
Yann LeCun
Stéphane Deny
SSL
291
2,338
0
04 Mar 2021
Exploring Simple Siamese Representation Learning
Xinlei Chen
Kaiming He
SSL
247
4,047
0
20 Nov 2020
Towards Domain-Agnostic Contrastive Learning
Vikas Verma
Minh-Thang Luong
Kenji Kawaguchi
Hieu H. Pham
Quoc V. Le
SSL
59
118
0
09 Nov 2020
MixCo: Mix-up Contrastive Learning for Visual Representation
Sungnyun Kim
Gihun Lee
Sangmin Bae
Seyoung Yun
SSL
137
80
0
13 Oct 2020
How Does Mixup Help With Robustness and Generalization?
Linjun Zhang
Zhun Deng
Kenji Kawaguchi
Amirata Ghorbani
James Zou
AAML
73
250
0
09 Oct 2020
What is being transferred in transfer learning?
Behnam Neyshabur
Hanie Sedghi
Chiyuan Zhang
86
519
0
26 Aug 2020
CrossTransformers: spatially-aware few-shot transfer
Carl Doersch
Ankush Gupta
Andrew Zisserman
ViT
247
333
0
22 Jul 2020
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCL
SSL
215
4,070
0
17 Jun 2020
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
343
6,773
0
13 Jun 2020
Understanding the Role of Training Regimes in Continual Learning
Seyed Iman Mirzadeh
Mehrdad Farajtabar
Razvan Pascanu
H. Ghasemzadeh
CLL
67
225
0
12 Jun 2020
Dark Experience for General Continual Learning: a Strong, Simple Baseline
Pietro Buzzega
Matteo Boschini
Angelo Porrello
Davide Abati
Simone Calderara
BDL
CLL
72
909
0
15 Apr 2020
Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning
Zhiqiang Shen
Zechun Liu
Zhuang Liu
Marios Savvides
Trevor Darrell
Eric P. Xing
OCL
SSL
62
103
0
11 Mar 2020
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
452
3,422
0
09 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
335
18,721
0
13 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
175
12,065
0
13 Nov 2019
Continual Unsupervised Representation Learning
Dushyant Rao
Francesco Visin
Andrei A. Rusu
Yee Whye Teh
Razvan Pascanu
R. Hadsell
BDL
CLL
SSL
DRL
34
258
0
31 Oct 2019
Uncertainty-based Continual Learning with Adaptive Regularization
Hongjoon Ahn
Sungmin Cha
Donggyu Lee
Taesup Moon
BDL
59
214
0
28 May 2019
Similarity of Neural Network Representations Revisited
Simon Kornblith
Mohammad Norouzi
Honglak Lee
Geoffrey E. Hinton
136
1,408
0
01 May 2019
Unsupervised Progressive Learning and the STAM Architecture
James Smith
Cameron Taylor
Seth Baer
C. Dovrolis
OffRL
CLL
51
39
0
03 Apr 2019
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting
Xilai Li
Yingbo Zhou
Tianfu Wu
R. Socher
Caiming Xiong
CLL
70
428
0
31 Mar 2019
Gradient based sample selection for online continual learning
Rahaf Aljundi
Min Lin
Baptiste Goujaud
Yoshua Bengio
BDL
CLL
98
827
0
20 Mar 2019
On Tiny Episodic Memories in Continual Learning
Arslan Chaudhry
Marcus Rohrbach
Mohamed Elhoseiny
Thalaiyasingam Ajanthan
P. Dokania
Philip Torr
MarcÁurelio Ranzato
CLL
82
397
0
27 Feb 2019
Efficient Lifelong Learning with A-GEM
Arslan Chaudhry
MarcÁurelio Ranzato
Marcus Rohrbach
Mohamed Elhoseiny
CLL
188
1,449
0
02 Dec 2018
Experience Replay for Continual Learning
David Rolnick
Arun Ahuja
Jonathan Richard Schwarz
Timothy Lillicrap
Greg Wayne
CLL
112
1,156
0
28 Nov 2018
Progress & Compress: A scalable framework for continual learning
Jonathan Richard Schwarz
Jelena Luketina
Wojciech M. Czarnecki
A. Grabska-Barwinska
Yee Whye Teh
Razvan Pascanu
R. Hadsell
CLL
108
886
0
16 May 2018
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
Zhirong Wu
Yuanjun Xiong
Stella X. Yu
Dahua Lin
SSL
170
3,450
0
05 May 2018
Visualizing the Loss Landscape of Neural Nets
Hao Li
Zheng Xu
Gavin Taylor
Christoph Studer
Tom Goldstein
240
1,885
0
28 Dec 2017
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
271
9,743
0
25 Oct 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
256
8,876
0
25 Aug 2017
Lifelong Learning with Dynamically Expandable Networks
Jaehong Yoon
Eunho Yang
Jeongtae Lee
Sung Ju Hwang
CLL
109
1,220
0
04 Aug 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
806
11,866
0
09 Mar 2017
iCaRL: Incremental Classifier and Representation Learning
Sylvestre-Alvise Rebuffi
Alexander Kolesnikov
G. Sperl
Christoph H. Lampert
CLL
OOD
129
3,741
0
23 Nov 2016
Learning without Forgetting
Zhizhong Li
Derek Hoiem
CLL
OOD
SSL
282
4,391
0
29 Jun 2016
Progressive Neural Networks
Andrei A. Rusu
Neil C. Rabinowitz
Guillaume Desjardins
Hubert Soyer
J. Kirkpatrick
Koray Kavukcuoglu
Razvan Pascanu
R. Hadsell
CLL
AI4CE
77
2,442
0
15 Jun 2016
End to End Learning for Self-Driving Cars
Mariusz Bojarski
D. Testa
Daniel Dworakowski
Bernhard Firner
B. Flepp
...
Urs Muller
Jiakai Zhang
Xin Zhang
Jake Zhao
Karol Zieba
SSL
87
4,163
0
25 Apr 2016
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.1K
193,426
0
10 Dec 2015
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks
Ian Goodfellow
M. Berk Mirza
Xia Da
Aaron Courville
Yoshua Bengio
137
1,441
0
21 Dec 2013
Learning Task Grouping and Overlap in Multi-task Learning
Abhishek Kumar
Hal Daumé
251
526
0
27 Jun 2012
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