Race/Bias-conflicting
1 papers with code • 1 benchmarks • 1 datasets
UTKFace
Most implemented papers
FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations
gsarridis/flac
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To overcome these limitations, this work introduces FLAC, a methodology that minimizes mutual information between the features extracted by the model and a protected attribute, without the use of attribute labels.
