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pNNCLR: Stochastic Pseudo Neighborhoods for Contrastive Learning based
  Unsupervised Representation Learning Problems

pNNCLR: Stochastic Pseudo Neighborhoods for Contrastive Learning based Unsupervised Representation Learning Problems

14 August 2023
Momojit Biswas
Himanshu Buckchash
Dilip K. Prasad
    SSL
ArXivPDFHTML

Papers citing "pNNCLR: Stochastic Pseudo Neighborhoods for Contrastive Learning based Unsupervised Representation Learning Problems"

5 / 5 papers shown
Title
Understanding the limitations of self-supervised learning for tabular
  anomaly detection
Understanding the limitations of self-supervised learning for tabular anomaly detection
Kimberly T. Mai
Toby O. Davies
Lewis D. Griffin
SSL
24
0
0
15 Sep 2023
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D
  biomedical image classification
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification
Jiancheng Yang
Rui Shi
D. Wei
Zequan Liu
Lin Zhao
B. Ke
Hanspeter Pfister
Bingbing Ni
VLM
166
647
0
27 Oct 2021
Decoupled Contrastive Learning
Decoupled Contrastive Learning
Chun-Hsiao Yeh
Cheng-Yao Hong
Yen-Chi Hsu
Tyng-Luh Liu
Yubei Chen
Yann LeCun
178
182
0
13 Oct 2021
With a Little Help from My Friends: Nearest-Neighbor Contrastive
  Learning of Visual Representations
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations
Debidatta Dwibedi
Y. Aytar
Jonathan Tompson
P. Sermanet
Andrew Zisserman
SSL
185
452
0
29 Apr 2021
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
305
5,773
0
29 Apr 2021
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