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Continually Learning Self-Supervised Representations with Projected
  Functional Regularization

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
    CLL
    SSL
ArXivPDFHTML

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

11 / 11 papers shown
Title
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 H. S. Torr
Adel Bibi
Mohamed Elhoseiny
CLL
45
5
0
19 Apr 2024
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
SSL
CLL
33
8
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
VLM
CLL
33
2
0
23 Aug 2023
Density Map Distillation for Incremental Object Counting
Density Map Distillation for Incremental Object Counting
Chenshen Wu
Joost van de Weijer
24
2
0
11 Apr 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
27
4
0
01 Feb 2023
Are Labels Needed for Incremental Instance Learning?
Are Labels Needed for Incremental Instance Learning?
Mert Kilickaya
Joaquin Vanschoren
CLL
SSL
37
1
0
26 Jan 2023
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
SSL
CLL
28
4
0
26 Oct 2022
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
326
5,785
0
29 Apr 2021
Distilling Causal Effect of Data in Class-Incremental Learning
Distilling Causal Effect of Data in Class-Incremental Learning
Xinting Hu
Kaihua Tang
C. Miao
Xiansheng Hua
Hanwang Zhang
CML
176
175
0
02 Mar 2021
Understanding self-supervised Learning Dynamics without Contrastive
  Pairs
Understanding self-supervised Learning Dynamics without Contrastive Pairs
Yuandong Tian
Xinlei Chen
Surya Ganguli
SSL
138
281
0
12 Feb 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,375
0
09 Mar 2020
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