Rodrigo Caye Daudt

FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation

2022 · arXiv (Cornell University)

The ability to estimate epistemic uncertainty is often crucial when deploying machine learning in the real world, but modern methods often produce overconfident, uncalibrated uncertainty predictions. A common approach to quantify epistemic uncertainty, usable across …