MultifacetedUncertaintyEstimationfor Label-EfficientDeepLearning

Deep learning (DL) models establish dominating status among other types ofsupervised learning models by achieving the state-of-the-art performance in various application domains. However, such an advantage only emerges when a huge amount of labeled training data is available.