Uncertainty Quantification in Deep Residual Neural Networks

9 Jul 2020Lukasz WandzikRaul Vicente GarciaJörg Krüger

Uncertainty quantification is an important and challenging problem in deep learning. Previous methods rely on dropout layers which are not present in modern deep architectures or batch normalization which is sensitive to batch sizes... (read more)

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