Maximum Likelihood with Bias-Corrected Calibration is Hard-To-Beat at Label Shift Adaptation

3 code implementations • 21 Jan 2019 • Amr Alexandari, Anshul Kundaje, Avanti Shrikumar

Label shift refers to the phenomenon where the prior class probability p(y) changes between the training and test distributions, while the conditional probability p(x|y) stays fixed.

Diabetic Retinopathy Detection Domain Adaptation +2