Uncertainty in Deep Learning
@inproceedings{Gal2016UncertaintyID,
title={Uncertainty in Deep Learning},
author={Y. Gal},
year={2016}
}Deep learning has attracted tremendous attention from researchers in various fields of information engineering such as AI, computer vision, and language processing [Kalchbrenner and Blunsom, 2013; Krizhevsky et al., 2012; Mnih et al., 2013], but also from more traditional sciences such as physics, biology, and manufacturing [Anjos et al., 2015; Baldi et al., 2014; Bergmann et al., 2014]. Neural networks, image processing tools such as convolutional neural networks, sequence processing models… Expand
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