Calibrated uncertainty for deep predictive models
Published in Advances in Neural Information Processing Systems (NeurIPS), 2022
We introduce a lightweight post-hoc procedure that yields well-calibrated predictive uncertainty for deep neural networks. (Example entry — replace with your own paper.)
Recommended citation: Khan, S., Carter, E., & Vasquez, T. (2022). "Calibrated uncertainty for deep predictive models." NeurIPS.