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Towards a Unified Framework of Contrastive Learning for Disentangled
  Representations

Towards a Unified Framework of Contrastive Learning for Disentangled Representations

8 November 2023
Stefan Matthes
Zhiwei Han
Hao Shen
ArXivPDFHTML

Papers citing "Towards a Unified Framework of Contrastive Learning for Disentangled Representations"

6 / 6 papers shown
Title
Self-supervised contrastive learning performs non-linear system
  identification
Self-supervised contrastive learning performs non-linear system identification
Rodrigo González Laiz
Tobias Schmidt
Steffen Schneider
SSL
32
0
0
18 Oct 2024
InfoNCE: Identifying the Gap Between Theory and Practice
InfoNCE: Identifying the Gap Between Theory and Practice
E. Rusak
Patrik Reizinger
Attila Juhos
Oliver Bringmann
Roland S. Zimmermann
Wieland Brendel
33
5
0
28 Jun 2024
Causal Contrastive Learning for Counterfactual Regression Over Time
Causal Contrastive Learning for Counterfactual Regression Over Time
Mouad El Bouchattaoui
Myriam Tami
Benoit Lepetit
P. Cournède
CML
AI4TS
38
2
0
01 Jun 2024
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
Contrastive Representation Learning: A Framework and Review
Contrastive Representation Learning: A Framework and Review
Phúc H. Lê Khắc
Graham Healy
A. Smeaton
SSL
AI4TS
164
678
0
10 Oct 2020
Weakly-Supervised Disentanglement Without Compromises
Weakly-Supervised Disentanglement Without Compromises
Francesco Locatello
Ben Poole
Gunnar Rätsch
Bernhard Schölkopf
Olivier Bachem
Michael Tschannen
CoGe
OOD
DRL
171
313
0
07 Feb 2020
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