Slide 42
Slide 42 text
42
Assaying Out-Of-Distribution Generalization in Transfer Learning
Background (ECE: Expacted Calibration Error)
Modern DNNs do well on ranking performance (such as accuracy, AUC),
but known to be bad in uncertainty (calibration, ECE).
This prevents the use of DNNs in automated driving, medical image
diagnostics, and recommendation systems.
Figure Taken From [Chuan et al 2017]