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Representation Synthesis by Probabilistic Many-Valued Logic Operation in
  Self-Supervised Learning

Representation Synthesis by Probabilistic Many-Valued Logic Operation in Self-Supervised Learning

8 September 2023
Hiroki Nakamura
Masashi Okada
T. Taniguchi
    SSL
    NAI
ArXivPDFHTML

Papers citing "Representation Synthesis by Probabilistic Many-Valued Logic Operation in Self-Supervised Learning"

5 / 5 papers shown
Title
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
283
5,723
0
29 Apr 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
253
4,735
0
24 Feb 2021
Understanding self-supervised Learning Dynamics without Contrastive
  Pairs
Understanding self-supervised Learning Dynamics without Contrastive Pairs
Yuandong Tian
Xinlei Chen
Surya Ganguli
SSL
132
278
0
12 Feb 2021
MixCo: Mix-up Contrastive Learning for Visual Representation
MixCo: Mix-up Contrastive Learning for Visual Representation
Sungnyun Kim
Gihun Lee
Sangmin Bae
Seyoung Yun
SSL
89
69
0
13 Oct 2020
Dialog-based Interactive Image Retrieval
Dialog-based Interactive Image Retrieval
Xiaoxiao Guo
Hui Wu
Yu Cheng
Steven J. Rennie
Gerald Tesauro
Rogerio Feris
48
201
0
01 May 2018
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