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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

Christian Haase-Schuetz
Rainer Stal
Heinz Hertlein
Bernhard Sick
    NoLa
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Papers citing "Iterative Label Improvement: Robust Training by Confidence Based Filtering and Dataset Partitioning"

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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
287
9,156
0
06 Jun 2015