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Bat-Sheva Einbinder

1 accepted papers

2022

Training Uncertainty-Aware Classifiers with Conformalized Deep Learning

NeurIPS 2022accept

Deep neural networks are powerful tools to detect hidden patterns in data and leverage them to make predictions, but they are not designed to understand uncertainty and estimate reliable probabilities. In particular, they tend to be overconfident. We begin to address this problem in the context of m…