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QUTE: Quantifying Uncertainty in TinyML with Early-exit-assisted ensembles for model-monitoring

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Ghanathe, Nikhil P, Wilton, Steven J E
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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