2 papers with code • 1 benchmarks • 1 datasets

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Most implemented papers

EnD: Entangling and Disentangling deep representations for bias correction

EIDOSlab/entangling-disentangling-bias CVPR 2021

Artificial neural networks perform state-of-the-art in an ever-growing number of tasks, and nowadays they are used to solve an incredibly large variety of tasks.

FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations

gsarridis/flac 27 Apr 2023

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.