Interpretable Machine Learning: Moving From Mythos to Diagnostics

Despite increasing interest in the field of Interpretable Machine Learning (IML), a significant gap persists between the technical objectives targeted by researchers' methods and the high-level goals of consumers' use cases. In this work, we synthesize foundational work on IML methods and...

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Hauptverfasser:	Chen, Valerie, Li, Jeffrey, Kim, Joon Sik, Plumb, Gregory, Talwalkar, Ameet
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning
Online-Zugang:	Volltext bestellen
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