In this work, we provide a systematic study to the prevailing ResNet architecture by showing a connection from a general deeply-fused net view to ensembling. Our empirical results uncover that the ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
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