2024
Mitigating Underfitting in Learning to Defer with Consistent Losses
AISTATS 2024poster
Learning to defer (L2D) allows the classifier to defer its prediction to an expert for safer predictions, by balancing the system’s accuracy and extra costs incurred by consulting the expert. Various loss functions have been proposed for L2D, but they were shown to cause the underfitting of trained…