72dad95a24fae750f8ab1cb3dab5e58d-Supplemental-Conference.pdf

Forclassification tasks, asmentioned inboth ofthe experiments, we could easily adopt a human-machine collaboration framework: since our model is capable of conveying the prediction confidence along with the prediction itself, we could pass thecases where themodel islessassertivetohumans forfurther evaluation. Thistraitisespecially valuable for classification tasks with exceptionally imbalanced data,e.g., fraud detection, and ad click-through rate prediction, where the volume of one class could be orders of magnitude more than the other.