Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings

John Mitros, Arjun Pakrashi, Brian Mac Namee. Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings. In Adrien Bartoli, Andrea Fusiello, editors, Computer Vision - ECCV 2020 Workshops - Glasgow, UK, August 23-28, 2020, Proceedings, Part I. Volume 12535 of Lecture Notes in Computer Science, pages 71-87, Springer, 2020. [doi]

Abstract

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