Pierre Thiel

Deep Learning Uncertainty in Machine Teaching

Machine Learning models can output confident but incorrect predictions. To address this, ML researchers use various techniques to reliably estimate ML uncertainty, usually performed on controlled benchmarks once the model has been trained. We explore how the two types of uncertainty—aleatoric and epistemic—can help…