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Structurally Prune Anything: Any Architecture, Any Framework, Any Time

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Wang, Xun, Rachwan, John, Günnemann, Stephan, Charpentier, Bertrand
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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