Asa Cooper Stickland

Diverse Ensembles Improve Calibration

2020 · arXiv (Cornell University)

Modern deep neural networks can produce badly calibrated predictions, especially when train and test distributions are mismatched. Training an ensemble of models and averaging their predictions can help alleviate these issues. We propose a simple …