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InfoNCE is variational inference in a recognition parameterised model

InfoNCE is variational inference in a recognition parameterised model

6 July 2021
Laurence Aitchison
Stoil Ganev
    BDL
ArXivPDFHTML

Papers citing "InfoNCE is variational inference in a recognition parameterised model"

6 / 6 papers shown
Title
Understanding the Role of Equivariance in Self-supervised Learning
Understanding the Role of Equivariance in Self-supervised Learning
Yifei Wang
Kaiwen Hu
Sharut Gupta
Ziyu Ye
Yisen Wang
Stefanie Jegelka
SSL
42
2
0
10 Nov 2024
Contrastive Factor Analysis
Contrastive Factor Analysis
Zhibin Duan
Tiansheng Wen
Yifei Wang
Chen Zhu
Bo Chen
Mingyuan Zhou
24
1
0
31 Jul 2024
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI
Theodore Papamarkou
Maria Skoularidou
Konstantina Palla
Laurence Aitchison
Julyan Arbel
...
David Rügamer
Yee Whye Teh
Max Welling
Andrew Gordon Wilson
Ruqi Zhang
UQCV
BDL
40
27
0
01 Feb 2024
ContrastVAE: Contrastive Variational AutoEncoder for Sequential
  Recommendation
ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation
Yu Wang
Hengrui Zhang
Zhiwei Liu
Liangwei Yang
Philip S. Yu
DRL
29
48
0
27 Aug 2022
Generalized Variational Inference in Function Spaces: Gaussian Measures
  meet Bayesian Deep Learning
Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning
Veit Wild
Robert Hu
Dino Sejdinovic
BDL
45
11
0
12 May 2022
Contrastive Learning Inverts the Data Generating Process
Contrastive Learning Inverts the Data Generating Process
Roland S. Zimmermann
Yash Sharma
Steffen Schneider
Matthias Bethge
Wieland Brendel
SSL
236
207
0
17 Feb 2021
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