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Camille Olivia Little

2 accepted papers

2024

Data Augmentation via Subgroup Mixup for Improving Fairness

ICASSP 2024accepted

In this work, we propose data augmentation via pairwise mixup across subgroups to improve group fairness. Many real-world applications of machine learning systems exhibit biases across certain groups due to underrepresentation or training data that reflects societal biases. Inspired by the successes…

Cited by 0SourceScholar