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TARA: Training and Representation Alteration for AI Fairness and Domain
  Generalization
v1v2v3v4 (latest)

TARA: Training and Representation Alteration for AI Fairness and Domain Generalization

Neural Computation (Neural Comput.), 2020
11 December 2020
William Paul
Armin Hadzic
Neil J. Joshi
F. Alajaji
Philippe Burlina
ArXiv (abs)PDFHTML

Papers citing "TARA: Training and Representation Alteration for AI Fairness and Domain Generalization"

11 / 11 papers shown
Mitigating Algorithmic Bias in Multiclass CNN Classifications Using Causal Modeling
Mitigating Algorithmic Bias in Multiclass CNN Classifications Using Causal Modeling
Min Sik Byun
Wendy Hui
Wai Kwong Lau
CVBMFaML
171
1
0
14 Jan 2025
FairREAD: Re-fusing Demographic Attributes after Disentanglement for Fair Medical Image Classification
FairREAD: Re-fusing Demographic Attributes after Disentanglement for Fair Medical Image Classification
Yicheng Gao
Jinkui Hao
Bo Zhou
399
1
0
20 Dec 2024
Detecting and Mitigating Algorithmic Bias in Binary Classification using
  Causal Modeling
Detecting and Mitigating Algorithmic Bias in Binary Classification using Causal Modeling
Wendy Hui
Wai Kwong Lau
FaML
297
5
0
19 Oct 2023
Survey of Trustworthy AI: A Meta Decision of AI
Survey of Trustworthy AI: A Meta Decision of AI
Caesar Wu
Yuan-Fang Li
Pascal Bouvry
415
3
0
01 Jun 2023
Evaluating Trade-offs in Computer Vision Between Attribute Privacy,
  Fairness and Utility
Evaluating Trade-offs in Computer Vision Between Attribute Privacy, Fairness and Utility
William Paul
P. Mathew
F. Alajaji
Philippe Burlina
194
2
0
15 Feb 2023
Classification Utility, Fairness, and Compactness via Tunable
  Information Bottleneck and Rényi Measures
Classification Utility, Fairness, and Compactness via Tunable Information Bottleneck and Rényi MeasuresIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022
A. Gronowski
William Paul
F. Alajaji
Bahman Gharesifard
Philippe Burlina
FaML
346
7
0
20 Jun 2022
Renyi Fair Information Bottleneck for Image Classification
Renyi Fair Information Bottleneck for Image ClassificationCanadian Workshop on Information Theory (CWIT), 2022
A. Gronowski
William Paul
F. Alajaji
Bahman Gharesifard
Philippe Burlina
FaML
183
8
0
09 Mar 2022
Robustness and Adaptation to Hidden Factors of Variation
Robustness and Adaptation to Hidden Factors of Variation
William Paul
Philippe Burlina
182
0
0
03 Mar 2022
EdgeMixup: Improving Fairness for Skin Disease Classification and
  Segmentation
EdgeMixup: Improving Fairness for Skin Disease Classification and Segmentation
Haolin Yuan
Armin Hadzic
William Paul
D. Flores
P. Mathew
J. Aucott
Yinzhi Cao
Philippe Burlina
179
11
0
28 Feb 2022
Adaptation and Generalization for Unknown Sensitive Factors of
  Variations
Adaptation and Generalization for Unknown Sensitive Factors of Variations
William Paul
Philippe Burlina
AAML
284
0
0
28 Jul 2021
Fairness in Machine Learning: A Survey
Fairness in Machine Learning: A SurveyACM Computing Surveys (ACM CSUR), 2020
Simon Caton
C. Haas
FaML
760
841
0
04 Oct 2020
1
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