Example Importance

Label-Free Explainability for Unsupervised Models
We extend existing feature and example importance methods to unsupervised learning.
Jonathan Crabbé, Mihaela van der Schaar
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Label-Free Explainability for Unsupervised Models
Explaining Latent Representations with a Corpus of Examples
We introduce SimplEx, a case-based reasoning explanation method that permits to decompose latent representations with a corpus of example.
Jonathan Crabbé, Zhaozhi Qian, Fergus Imrie, Mihaela van der Schaar
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Explaining Latent Representations with a Corpus of Examples