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Diagnosing failures of fairness transfer across distribution shift in
  real-world medical settings

Diagnosing failures of fairness transfer across distribution shift in real-world medical settings

2 February 2022
Jessica Schrouff
Natalie Harris
Oluwasanmi Koyejo
Ibrahim M. Alabdulmohsin
Eva Schnider
Krista Opsahl-Ong
Alex Brown
Subhrajit Roy
Diana Mincu
Christina W. Chen
Awa Dieng
Yuan Liu
Vivek Natarajan
Alan Karthikesalingam
Katherine A. Heller
Silvia Chiappa
Alexander DÁmour
    OOD
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Papers citing "Diagnosing failures of fairness transfer across distribution shift in real-world medical settings"

8 / 8 papers shown
Title
Rethinking Fair Representation Learning for Performance-Sensitive Tasks
Rethinking Fair Representation Learning for Performance-Sensitive Tasks
Charles Jones
Fabio De Sousa Ribeiro
Mélanie Roschewitz
Daniel Coelho De Castro
Ben Glocker
FaML
OOD
CML
51
1
0
05 Oct 2024
Mind the Graph When Balancing Data for Fairness or Robustness
Mind the Graph When Balancing Data for Fairness or Robustness
Jessica Schrouff
Alexis Bellot
Amal Rannen-Triki
Alan Malek
Isabela Albuquerque
A. Gretton
Alexander DÁmour
Silvia Chiappa
OOD
CML
24
1
0
25 Jun 2024
No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning
  for Medical Imaging
No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning for Medical Imaging
Charles Jones
Daniel Coelho De Castro
Fabio De Sousa Ribeiro
Ozan Oktay
Melissa McCradden
Ben Glocker
FaML
CML
17
9
0
31 Jul 2023
Classical Out-of-Distribution Detection Methods Benchmark in Text
  Classification Tasks
Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks
M. Baran
Joanna Baran
Mateusz Wójcik
Maciej Ziȩba
Adam Gonczarek
OODD
13
4
0
13 Jul 2023
Globalizing Fairness Attributes in Machine Learning: A Case Study on
  Health in Africa
Globalizing Fairness Attributes in Machine Learning: A Case Study on Health in Africa
M. Asiedu
Awa Dieng
Abigail Oppong
Margaret Nagawa
Sanmi Koyejo
Katherine A. Heller
37
7
0
05 Apr 2023
Fairness in Machine Learning
Fairness in Machine Learning
L. Oneto
Silvia Chiappa
FaML
225
485
0
31 Dec 2020
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
286
4,143
0
23 Aug 2019
Discriminatory Transfer
Discriminatory Transfer
Chao Lan
Jun Huan
FaML
189
18
0
03 Jul 2017
1