A toy model and two datasets suggest higher in-distribution bias can reduce out-of-distribution error, yielding the ADB training-order selection method.
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Bias as a Virtue: Rethinking Generalization under Distribution Shifts
A toy model and two datasets suggest higher in-distribution bias can reduce out-of-distribution error, yielding the ADB training-order selection method.