Prediction Confidence from Neighbors

31 Mar 2020Mark Philip PhilipsenThomas Baltzer Moeslund

The inability of Machine Learning (ML) models to successfully extrapolate correct predictions from out-of-distribution (OoD) samples is a major hindrance to the application of ML in critical applications. Until the generalization ability of ML methods is improved it is necessary to keep humans in the loop... (read more)

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