## Efficient uncertainty estimations --- ### Sample Efficient Uncertainty Estimation for Deep Learning Safety (Mallick et al.) Problem (in the paper): overconfidence with small datasets --- ### Problem example  --- ### NCA Neighborhood component analysis    --- ### PNCA Probabilistic Neighborhood Component Analysis  --- ### Results   --- ### Notes - GP? - Accuracy is poor, not really relevant - Presentation is good --- ### Simple and Scalable Epistemic Uncertainty Estimation Using a Single Deep Deterministic Neural Network (van Amersfoort et al.)  --- ### Uncertainties types - epistemic (bad model), AL/RL - aleatoric (inherent in the data), Safety-first --- ### RBF networks   --- ### Regularization by gradient penalties (Gulrajani et al. (2017))   --- ### Results   --- ### Notes - Need a parameter - Entropy for ensembles? - OOD is a choice