Influence

AIDE - Antithetical, Intent-based, and Diverse Example-Based Explanations

For many use-cases, it is often important to explain the prediction of a black-box model by identifying the most influential training data samples. We propose AIDE, Antithetical, Intent-based, and Diverse Example-Based Explanations, an approach for providing antithetical (i.

Ikhtiyor Nematov, Dimitris Sacharidis, Katja Hose, Tomer Sagi