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Right for the Right Latent Factors: Debiasing Generative Models via
  Disentanglement

Right for the Right Latent Factors: Debiasing Generative Models via Disentanglement

1 February 2022
Xiaoting Shao
Karl Stelzner
Kristian Kersting
    CML
    DRL
ArXivPDFHTML

Papers citing "Right for the Right Latent Factors: Debiasing Generative Models via Disentanglement"

3 / 3 papers shown
Title
A survey on Concept-based Approaches For Model Improvement
A survey on Concept-based Approaches For Model Improvement
Avani Gupta
P. J. Narayanan
LRM
37
5
0
21 Mar 2024
Leveraging Explanations in Interactive Machine Learning: An Overview
Leveraging Explanations in Interactive Machine Learning: An Overview
Stefano Teso
Öznur Alkan
Wolfgang Stammer
Elizabeth M. Daly
XAI
FAtt
LRM
31
62
0
29 Jul 2022
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
184
314
0
07 Feb 2020
1