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Continually Learning Self-Supervised Representations with Projected
  Functional Regularization
v1v2 (latest)

Continually Learning Self-Supervised Representations with Projected Functional Regularization

30 December 2021
Alex Gomez-Villa
Bartlomiej Twardowski
Lu Yu
Andrew D. Bagdanov
Joost van de Weijer
    CLLSSL
ArXiv (abs)PDFHTML

Papers citing "Continually Learning Self-Supervised Representations with Projected Functional Regularization"

25 / 25 papers shown
Title
Flashbacks to Harmonize Stability and Plasticity in Continual Learning
Flashbacks to Harmonize Stability and Plasticity in Continual Learning
Leila Mahmoodi
Peyman Moghadam
Munawar Hayat
Christian Simon
Mehrtash Harandi
CLLVLMAI4CE
27
0
0
31 May 2025
Language Guided Concept Bottleneck Models for Interpretable Continual Learning
Language Guided Concept Bottleneck Models for Interpretable Continual Learning
Lu Yu
Haoyu Han
Zhe Tao
Hantao Yao
Changsheng Xu
CLL
117
1
0
30 Mar 2025
Replay-free Online Continual Learning with Self-Supervised MultiPatches
Replay-free Online Continual Learning with Self-Supervised MultiPatches
Giacomo Cignoni
Andrea Cossu
Alex Gomez-Villa
Joost van de Weijer
Antonio Carta
CLL
119
0
0
13 Feb 2025
Exemplar-free Continual Representation Learning via Learnable Drift
  Compensation
Exemplar-free Continual Representation Learning via Learnable Drift Compensation
Alex Gomez-Villa
Dipam Goswami
Kai Wang
Andrew D. Bagdanov
Bartlomiej Twardowski
Joost van de Weijer
CLLSSL
74
11
0
11 Jul 2024
ViLCo-Bench: VIdeo Language COntinual learning Benchmark
ViLCo-Bench: VIdeo Language COntinual learning Benchmark
Tianqi Tang
Shohreh Deldari
Hao Xue
Celso De Melo
Flora D. Salim
CLL
75
2
0
19 Jun 2024
Integrating Present and Past in Unsupervised Continual Learning
Integrating Present and Past in Unsupervised Continual Learning
Yipeng Zhang
Laurent Charlin
R. Zemel
Mengye Ren
CLL
74
4
0
29 Apr 2024
Continual Learning on a Diet: Learning from Sparsely Labeled Streams
  Under Constrained Computation
Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation
Wenxuan Zhang
Youssef Mohamed
Guohao Li
Philip Torr
Adel Bibi
Mohamed Elhoseiny
CLL
102
5
0
19 Apr 2024
Data Stream Sampling with Fuzzy Task Boundaries and Noisy Labels
Data Stream Sampling with Fuzzy Task Boundaries and Noisy Labels
Yu-Hsi Chen
54
0
0
07 Apr 2024
Branch-Tuning: Balancing Stability and Plasticity for Continual
  Self-Supervised Learning
Branch-Tuning: Balancing Stability and Plasticity for Continual Self-Supervised Learning
Wenzhuo Liu
Fei Zhu
Cheng-Lin Liu
CLL
122
2
0
27 Mar 2024
Continual Learning and Catastrophic Forgetting
Continual Learning and Catastrophic Forgetting
Gido M. van de Ven
Nicholas Soures
Dhireesha Kudithipudi
94
58
0
08 Mar 2024
Class incremental learning with probability dampening and cascaded gated
  classifier
Class incremental learning with probability dampening and cascaded gated classifier
Jary Pomponi
Alessio Devoto
Simone Scardapane
CLL
53
0
0
02 Feb 2024
Revisiting Supervision for Continual Representation Learning
Revisiting Supervision for Continual Representation Learning
Daniel Marczak
Sebastian Cygert
Tomasz Trzciñski
Bartlomiej Twardowski
SSLCLL
100
2
0
22 Nov 2023
Plasticity-Optimized Complementary Networks for Unsupervised Continual
  Learning
Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning
Alex Gomez-Villa
Bartlomiej Twardowski
Kai Wang
Joost van de Weijer
SSLCLL
67
9
0
12 Sep 2023
Category Adaptation Meets Projected Distillation in Generalized
  Continual Category Discovery
Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery
Grzegorz Rype'sć
Daniel Marczak
Sebastian Cygert
Tomasz Trzciñski
Bartlomiej Twardowski
VLMCLL
103
3
0
23 Aug 2023
Self-supervised Activity Representation Learning with Incremental Data:
  An Empirical Study
Self-supervised Activity Representation Learning with Incremental Data: An Empirical Study
Jason Liu
Shohreh Deldari
Hao Xue
Van-Hau Nguyen
Flora D. Salim
AI4TSCLLSSL
57
2
0
01 May 2023
Density Map Distillation for Incremental Object Counting
Density Map Distillation for Incremental Object Counting
Chenshen Wu
Joost van de Weijer
60
2
0
11 Apr 2023
Projected Latent Distillation for Data-Agnostic Consolidation in
  Distributed Continual Learning
Projected Latent Distillation for Data-Agnostic Consolidation in Distributed Continual Learning
Antonio Carta
Andrea Cossu
Vincenzo Lomonaco
D. Bacciu
Joost van de Weijer
FedML
52
5
0
28 Mar 2023
Preserving Linear Separability in Continual Learning by Backward Feature
  Projection
Preserving Linear Separability in Continual Learning by Backward Feature Projection
Qiao Gu
Dongsub Shim
Florian Shkurti
CLLKELM
52
12
0
26 Mar 2023
CSSL-MHTR: Continual Self-Supervised Learning for Scalable Multi-script Handwritten Text Recognition
M. Dhiaf
Mohamed Ali Souibgui
Kai Wang
Yuyang Liu
Yousri Kessentini
Alicia Fornés
Ahmed Cheikh Rouhou
CLL
51
2
0
16 Mar 2023
Efficient Self-supervised Continual Learning with Progressive
  Task-correlated Layer Freezing
Efficient Self-supervised Continual Learning with Progressive Task-correlated Layer Freezing
Li Yang
Sen Lin
Fan Zhang
Junshan Zhang
Deliang Fan
CLL
59
6
0
13 Mar 2023
Towards Label-Efficient Incremental Learning: A Survey
Towards Label-Efficient Incremental Learning: A Survey
Mert Kilickaya
Joost van de Weijer
Yuki M. Asano
CLL
92
4
0
01 Feb 2023
Are Labels Needed for Incremental Instance Learning?
Are Labels Needed for Incremental Instance Learning?
Mert Kilickaya
Joaquin Vanschoren
CLLSSL
116
2
0
26 Jan 2023
Exemplar-free Continual Learning of Vision Transformers via Gated
  Class-Attention and Cascaded Feature Drift Compensation
Exemplar-free Continual Learning of Vision Transformers via Gated Class-Attention and Cascaded Feature Drift Compensation
Marco Cotogni
Fei Yang
C. Cusano
Andrew D. Bagdanov
Joost van de Weijer
CLL
74
0
0
22 Nov 2022
Is Multi-Task Learning an Upper Bound for Continual Learning?
Is Multi-Task Learning an Upper Bound for Continual Learning?
Zihao Wu
Huy Tran
Hamed Pirsiavash
Soheil Kolouri
SSLCLL
57
5
0
26 Oct 2022
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
OCLSSL
326
4,109
0
17 Jun 2020
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