ProactiV : Studying Deep Learning Model Behavior Under Input Transformations

Deep learning (DL) models have shown performance benefits across many applications, from classification to image-to-image translation. However, low interpretability often leads to unexpected model behavior once deployed in the real world. Usually, this unexpected behavior is because the training dat...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on visualization and computer graphics. - 1996. - 30(2024), 8 vom: 18. Aug., Seite 5651-5665
1. Verfasser:	Prasad, Vidya (VerfasserIn)
Weitere Verfasser:	van Sloun, Ruud J G, Vilanova, Anna, Pezzotti, Nicola
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2024
Zugriff auf das übergeordnete Werk:	IEEE transactions on visualization and computer graphics
Schlagworte:	Journal Article