On the Validity of Bayesian Neural Networks for Uncertainty Estimation

3 Dec 2019John MitrosBrian Mac Namee

Deep neural networks (DNN) are versatile parametric models utilised successfully in a diverse number of tasks and domains. However, they have limitations---particularly from their lack of robustness and over-sensitivity to out of distribution samples... (read more)

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