Vijay Iyengar

Confidence Scoring Using Whitebox Meta-models with Linear Classifier Probes

We propose a novel confidence scoring mechanism for deep neural networks based on a two-model paradigm involving a base model and a meta-model. The confidence score is learned by the meta-model observing the base model succeeding/failing at its task. As features to the meta-model, we investigate lin…