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Enforcing Conditional Independence for Fair Representation Learning and
  Causal Image Generation

Enforcing Conditional Independence for Fair Representation Learning and Causal Image Generation

21 April 2024
Jensen Hwa
Qingyu Zhao
Aditya Lahiri
Adnan Masood
Babak Salimi
Ehsan Adeli
    OOD
    CML
ArXivPDFHTML

Papers citing "Enforcing Conditional Independence for Fair Representation Learning and Causal Image Generation"

6 / 6 papers shown
Title
Revisiting Diffusion Autoencoder Training for Image Reconstruction Quality
Revisiting Diffusion Autoencoder Training for Image Reconstruction Quality
Pramook Khungurn
Sukit Seripanitkarn
Phonphrm Thawatdamrongkit
Supasorn Suwajanakorn
DiffM
68
0
0
30 Apr 2025
Few-Shot Diffusion Models
Few-Shot Diffusion Models
Giorgio Giannone
Didrik Nielsen
Ole Winther
DiffM
171
49
0
30 May 2022
Through the Data Management Lens: Experimental Analysis and Evaluation
  of Fair Classification
Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification
Maliha Tashfia Islam
Anna Fariha
A. Meliou
Babak Salimi
FaML
23
24
0
18 Jan 2021
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
294
4,187
0
23 Aug 2019
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
213
669
0
17 Feb 2018
Measuring and testing dependence by correlation of distances
Measuring and testing dependence by correlation of distances
G. Székely
Maria L. Rizzo
N. K. Bakirov
164
2,572
0
28 Mar 2008
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