Stuart Golodetz

Calibrating Deep Neural Networks using Focal Loss

2020 · arXiv (Cornell University)

Miscalibration - a mismatch between a model's confidence and its correctness - of Deep Neural Networks (DNNs) makes their predictions hard to rely on. Ideally, we want networks to be accurate, calibrated and confident. We …