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ScatSimCLR: self-supervised contrastive learning with pretext task
  regularization for small-scale datasets

ScatSimCLR: self-supervised contrastive learning with pretext task regularization for small-scale datasets

31 August 2021
Vitaliy Kinakh
O. Taran
S. Voloshynovskiy
ArXivPDFHTML

Papers citing "ScatSimCLR: self-supervised contrastive learning with pretext task regularization for small-scale datasets"

10 / 10 papers shown
Title
Multi-modal Masked Siamese Network Improves Chest X-Ray Representation
  Learning
Multi-modal Masked Siamese Network Improves Chest X-Ray Representation Learning
Saeed Shurrab
Alejandro Guerra-Manzanares
Farah E. Shamout
31
1
0
05 Jul 2024
Few-Shot Class-Incremental Learning with Prior Knowledge
Few-Shot Class-Incremental Learning with Prior Knowledge
Wenhao Jiang
Duo Li
Menghan Hu
Guangtao Zhai
Xiaokang Yang
Xiao-Ping Zhang
CLL
47
1
0
02 Feb 2024
Variational Self-Supervised Contrastive Learning Using Beta Divergence
Variational Self-Supervised Contrastive Learning Using Beta Divergence
Mehmet Can Yavuz
Berrin Yanikoglu
SSL
27
0
0
05 Sep 2023
MV-MR: multi-views and multi-representations for self-supervised
  learning and knowledge distillation
MV-MR: multi-views and multi-representations for self-supervised learning and knowledge distillation
Vitaliy Kinakh
M. Drozdova
Slava Voloshynovskiy
40
1
0
21 Mar 2023
Self-Supervised Learning for Place Representation Generalization across
  Appearance Changes
Self-Supervised Learning for Place Representation Generalization across Appearance Changes
M. A. Musallam
Vincent Gaudillière
Djamila Aouada
SSL
40
2
0
04 Mar 2023
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
15
8
0
18 Oct 2022
Neural Manifold Clustering and Embedding
Neural Manifold Clustering and Embedding
Zengyi Li
Yubei Chen
Yann LeCun
Friedrich T. Sommer
DRL
22
41
0
24 Jan 2022
Parametric Scattering Networks
Parametric Scattering Networks
Shanel Gauthier
Benjamin Thérien
Laurent Alsene-Racicot
Muawiz Chaudhary
Irina Rish
Eugene Belilovsky
Michael Eickenberg
Guy Wolf
24
16
0
20 Jul 2021
Self-Supervised Feature Learning by Learning to Spot Artifacts
Self-Supervised Feature Learning by Learning to Spot Artifacts
Simon Jenni
Paolo Favaro
SSL
150
127
0
13 Jun 2018
Boosting Self-Supervised Learning via Knowledge Transfer
Boosting Self-Supervised Learning via Knowledge Transfer
M. Noroozi
Ananth Vinjimoor
Paolo Favaro
Hamed Pirsiavash
SSL
209
292
0
01 May 2018
1