Efficient variational Bayesian neural network ensembles for outlier detectionDownload PDF

May 16, 2022 (edited Apr 22, 2017)ICLR 2017 workshop submissionReaders: Everyone
  • TL;DR: Efficient variational approximation of neural network parameters applied to outlier detection.
  • Abstract: In this work we perform outlier detection using ensembles of neural networks obtained by variational approximation of the posterior in a Bayesian neural network setting. The variational parameters are obtained by sampling from the true posterior by gradient descent. We show our outlier detection results are comparable to those obtained using other efficient ensembling methods.
  • Keywords: Deep learning
  • Conflicts: ic.ac.uk, imperial.ac.uk
5 Replies