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Bayesian neural networks (BNNs) allow us to reason about uncertainty in a principled way.
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Detecting adversarial samples from artifacts
Feinman, R., Curtin, R. R., Shintre, S., and Gardner, A. B · 2017
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Deep Bayesian active learning with image data
Gal, Y., Islam, R., and Ghahramani, Z · 2017
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Improved training of Wasserstein GANs
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Multiplicative normalizing flows for variational Bayesian neural networks
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Madry, A., Makelov, A., Schmidt, L., Tsipras, D., and Vladu, A · 2017
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Variational approaches for auto-encoding generative adversarial networks
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Improving GANs using optimal transport
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Wei, X., Liu, Z., Wang, L., and Gong, B · 2018
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