13 citations · 13 across the 1 of their papers we have counts for
2 papers
cs.CV2021
Explaining the Black-box Smoothly- A Counterfactual Approach
Sumedha Singla, Motahhare Eslami, Brian Pollack +2
We propose a BlackBox Counterfactual Explainer, designed to explain image classification models for medical applications. Classical approaches (e.g., saliency maps) that assess fea…
cs.LG2019★ 13 cited
Explanation by Progressive Exaggeration
Sumedha Singla, Brian Pollack, Junxiang Chen +1
As machine learning methods see greater adoption and implementation in high stakes applications such as medical image diagnosis, the need for model interpretability and explanation…