Adversarial Reweighting Guided by Wasserstein Distance for Bias Mitigation

no code implementations • 21 Nov 2023 • Xuan Zhao, Simone Fabbrizzi, Paula Reyero Lobo, Siamak Ghodsi, Klaus Broelemann, Steffen Staab, Gjergji Kasneci

To balance the data distribution between the majority and the minority groups, our approach deemphasizes samples from the majority group.

Fairness

A Survey on Bias in Visual Datasets

no code implementations • 16 Jul 2021 • Simone Fabbrizzi, Symeon Papadopoulos, Eirini Ntoutsi, Ioannis Kompatsiaris

Hence, this work aims to: i) describe the biases that might manifest in visual datasets; ii) review the literature on methods for bias discovery and quantification in visual datasets; iii) discuss existing attempts to collect bias-aware visual datasets.