Harshavardhan Sunil Abichandani

Robust Relatable Explanations of Machine Learning with Disentangled Cue-specific Saliency

Concept-based explanations help users understand the relation between model predictions and meaningful cues. However, under noisy real-world conditions, data perturbations lead to distorted and deviated explanations. We hypothesize that these corruptions affect specific cues rather than all, so disentangling them may…