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Gender Slopes: Counterfactual Fairness for Computer Vision Models by
  Attribute Manipulation

Gender Slopes: Counterfactual Fairness for Computer Vision Models by Attribute Manipulation

21 May 2020
Jungseock Joo
Kimmo Karkkainen
ArXivPDFHTML

Papers citing "Gender Slopes: Counterfactual Fairness for Computer Vision Models by Attribute Manipulation"

13 / 13 papers shown
Title
Do Fairness Interventions Come at the Cost of Privacy: Evaluations for Binary Classifiers
Huan Tian
Guangsheng Zhang
Bo Liu
Tianqing Zhu
Ming Ding
Wanlei Zhou
53
0
0
08 Mar 2025
Constructing Fair Latent Space for Intersection of Fairness and Explainability
Constructing Fair Latent Space for Intersection of Fairness and Explainability
Hyungjun Joo
Hyeonggeun Han
Sehwan Kim
Sangwoo Hong
Jungwoo Lee
40
0
0
23 Dec 2024
Fairness Explainability using Optimal Transport with Applications in
  Image Classification
Fairness Explainability using Optimal Transport with Applications in Image Classification
Philipp Ratz
Franccois Hu
Arthur Charpentier
23
0
0
22 Aug 2023
On Counterfactual Data Augmentation Under Confounding
On Counterfactual Data Augmentation Under Confounding
Abbavaram Gowtham Reddy
Saketh Bachu
Saloni Dash
Charchit Sharma
Amit Sharma
V. Balasubramanian
CML
BDL
33
0
0
29 May 2023
Manifestations of Xenophobia in AI Systems
Manifestations of Xenophobia in AI Systems
Nenad Tomašev
J. L. Maynard
Iason Gabriel
24
9
0
15 Dec 2022
Finding Differences Between Transformers and ConvNets Using
  Counterfactual Simulation Testing
Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing
Nataniel Ruiz
Sarah Adel Bargal
Cihang Xie
Kate Saenko
Stan Sclaroff
ViT
36
5
0
29 Nov 2022
FairGRAPE: Fairness-aware GRAdient Pruning mEthod for Face Attribute
  Classification
FairGRAPE: Fairness-aware GRAdient Pruning mEthod for Face Attribute Classification
Xiao-Ze Lin
Seungbae Kim
Jungseock Joo
CVBM
37
38
0
22 Jul 2022
What's in a Caption? Dataset-Specific Linguistic Diversity and Its
  Effect on Visual Description Models and Metrics
What's in a Caption? Dataset-Specific Linguistic Diversity and Its Effect on Visual Description Models and Metrics
David M. Chan
Austin Myers
Sudheendra Vijayanarasimhan
David A. Ross
Bryan Seybold
John F. Canny
28
6
0
12 May 2022
Anatomizing Bias in Facial Analysis
Anatomizing Bias in Facial Analysis
Richa Singh
P. Majumdar
S. Mittal
Mayank Vatsa
CVBM
33
23
0
13 Dec 2021
Latent Space Smoothing for Individually Fair Representations
Latent Space Smoothing for Individually Fair Representations
Momchil Peychev
Anian Ruoss
Mislav Balunović
Maximilian Baader
Martin Vechev
FaML
36
19
0
26 Nov 2021
Understanding and Mitigating Annotation Bias in Facial Expression
  Recognition
Understanding and Mitigating Annotation Bias in Facial Expression Recognition
Yunliang Chen
Jungseock Joo
CVBM
32
81
0
19 Aug 2021
Discover the Unknown Biased Attribute of an Image Classifier
Discover the Unknown Biased Attribute of an Image Classifier
Zhiheng Li
Chenliang Xu
25
50
0
29 Apr 2021
Evaluating and Mitigating Bias in Image Classifiers: A Causal
  Perspective Using Counterfactuals
Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals
Saloni Dash
V. Balasubramanian
Amit Sharma
CML
27
65
0
17 Sep 2020
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