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Leveraging Superfluous Information in Contrastive Representation
  Learning

Leveraging Superfluous Information in Contrastive Representation Learning

19 August 2024
Xuechu Yu
    SSL
ArXivPDFHTML

Papers citing "Leveraging Superfluous Information in Contrastive Representation Learning"

3 / 3 papers shown
Title
Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax
Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax
I. Butakov
Alexander Sememenko
Alexander Tolmachev
Andrey Gladkov
Marina Munkhoeva
Alexey Frolov
32
0
0
09 Oct 2024
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
305
7,434
0
11 Nov 2021
A Mutual Information Maximization Perspective of Language Representation
  Learning
A Mutual Information Maximization Perspective of Language Representation Learning
Lingpeng Kong
Cyprien de Masson dÁutume
Wang Ling
Lei Yu
Zihang Dai
Dani Yogatama
SSL
212
165
0
18 Oct 2019
1