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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Publié dans:	IEEE transactions on visualization and computer graphics. - 1996. - 30(2024), 8 vom: 18. Aug., Seite 5651-5665
Auteur principal:	Prasad, Vidya (Auteur)
Autres auteurs:	van Sloun, Ruud J G, Vilanova, Anna, Pezzotti, Nicola
Format:	Article en ligne
Langue:	English
Publié:	2024
Accès à la collection:	IEEE transactions on visualization and computer graphics
Sujets:	Journal Article