Zhizhong Li

Improving Confidence Estimates for Unfamiliar Examples

2020

Intuitively, unfamiliarity should lead to lack of confidence. In reality, current algorithms often make highly confident yet wrong predictions when faced with relevant but unfamiliar examples. A classifier we trained to recognize gender is 12 …