Learning Bayesian Deep Learning, Uncertainty & Variational Techniques

  1. Blogs
  2. Papers on Theories
  3. Papers on Applications

What am I working on now? Discussions are Welcome!

  • Interpreting \(p(y\|x)\) and modelling example weighting

  • Going to stop treating \(p(y\|x)\) as a classfication confidence metric, since it is determinstic. \(p(y\|x)\) is not for deciding whether certain or uncertain.

  • \(p(y\|x)\) is good as a metric of whether x matches y, though not a good metric indicating whether x is blur or not.

  • Utilities of Uncertainties


Papers on Theories

Papers on Applications

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