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InfoNCE is variational inference in a recognition parameterised model
v1v2v3 (latest)

InfoNCE is variational inference in a recognition parameterised model

6 July 2021
Laurence Aitchison
Stoil Ganev
    BDL
ArXiv (abs)PDFHTML

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

6 / 6 papers shown
Understanding Self-supervised Contrastive Learning through Supervised Objectives
Understanding Self-supervised Contrastive Learning through Supervised Objectives
Byeongchan Lee
SSL
246
0
0
12 Oct 2025
Variational Supervised Contrastive Learning
Variational Supervised Contrastive Learning
Ziwen Wang
Jiajun Fan
Thao Nguyen
Heng Ji
Ge Liu
DRLSSL
294
3
0
09 Jun 2025
Understanding the Role of Equivariance in Self-supervised Learning
Understanding the Role of Equivariance in Self-supervised LearningNeural Information Processing Systems (NeurIPS), 2024
Yifei Wang
Kaiwen Hu
Sharut Gupta
Ziyu Ye
Yisen Wang
Stefanie Jegelka
SSL
442
7
0
10 Nov 2024
Contrastive Factor Analysis
Contrastive Factor Analysis
Zhibin Duan
Tiansheng Wen
Yifei Wang
Chen Zhu
Bo Chen
Mingyuan Zhou
450
2
0
31 Jul 2024
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference
Benjamin Eysenbach
Vivek Myers
Ruslan Salakhutdinov
Sergey Levine
AI4TS
839
19
0
06 Mar 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
UQCVBDL
485
63
0
01 Feb 2024
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