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

researchr

You are not signed in
Sign in
Sign up

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]

This author has not been identified. Look up 'John Mitros' in GoogleThis author has not been identified. Look up 'Arjun Pakrashi' in GoogleThis author has not been identified. Look up 'Brian Mac Namee' in Google

runs on WebDSL