TAGS: Uncertainty Estimation Bayesian Inference Active Learning Reinforcement Learning

Uncertainty at ICLR 2020
ICLR 2020 brought a lot of valuable insights about uncertainty of modern deep learning models and in this post I would like to describe shortly the most interesting papers which were presented during the conference.

Uncertainty in Deep Learning
Recent advances in areas of Deep Learning and Neural Networks have solved a large number of different problems in a dozen of areas: computer vision, natural language processing, reinforcement learning, speech recognition and etc. The widespread availability of computational resources made it possible even for nonprofessionals to develop complex and sophisticated models. But do we really understand how do they work? Uncertainty Estimation is one of the ways to figure that our.
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