A combined logit-adjusted loss and CVaR objective improves macro F1 and reduces gender disparity in 3D CT classification of lung cancers, COVID-19, and normal cases on a benchmark with severe class and group imbalance.
Rethinking individual fair- ness in deepfake detection,
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Robust Fair Disease Diagnosis in CT Images
A combined logit-adjusted loss and CVaR objective improves macro F1 and reduces gender disparity in 3D CT classification of lung cancers, COVID-19, and normal cases on a benchmark with severe class and group imbalance.