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Iterative Label Improvement: Robust Training by Confidence Based
  Filtering and Dataset Partitioning

Iterative Label Improvement: Robust Training by Confidence Based Filtering and Dataset Partitioning

7 February 2020
Christian Haase-Schuetz
Rainer Stal
Heinz Hertlein
Bernhard Sick
    NoLa
ArXivPDFHTML

Papers citing "Iterative Label Improvement: Robust Training by Confidence Based Filtering and Dataset Partitioning"

1 / 1 papers shown
Title
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,145
0
06 Jun 2015
1