Correlated Input-Dependent Label Noise in Large-Scale Image Classification

Large scale image classification datasets often contain noisy labels. We take a principled probabilistic approach to modelling input-dependent, also known as heteroscedastic, label noise in these datasets. We place a multivariate Normal distributed latent variable on the final hidden layer of a neur...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	arXiv.org 2021-05
Hauptverfasser:	Collier, Mark, Mustafa, Basil, Kokiopoulou, Efi, Jenatton, Rodolphe, Berent, Jesse
Format:	Artikel
Sprache:	eng
Schlagworte:	Classifiers Covariance matrix Datasets Image classification Neural networks Noise Training
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!