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Deterministic neural nets have been shown to learn effective predictors on a wide range of machine learning problems.
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Variational dropout and the local reparameterization trick
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Subjective Logic: A Formalism for Reasoning Under Uncertainty
A. Josang · 2016
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Cleverhans v2. 0.0: An adversarial machine learning library
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Variational dropout sparsifies deep neural networks
D. Molchanov, A. Ashukha, and D. Vetrov · 2017
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Variational dropout sparsifies deep neural networks
D. Molchanov, A. Ashukha, and D. Vetrov · 2017
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