PRIME: Prioritizing Interpretability in Failure Mode Extraction

In this work, we study the challenge of providing human-understandable descriptions for failure modes in trained image classification models. Existing works address this problem by first identifying clusters (or directions) of incorrectly classified samples in a latent space and then aiming to provi...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Rezaei, Keivan, Saberi, Mehrdad, Moayeri, Mazda, Feizi, Soheil
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!