Interpretable Active Learning

1 code implementation • 31 Jul 2017 • Richard L. Phillips, Kyu Hyun Chang, Sorelle A. Friedler

We demonstrate how LIME can be used to generate locally faithful explanations for an active learning strategy, and how these explanations can be used to understand how different models and datasets explore a problem space over time.

Active Learning