An Uncertainty-aware Loss Function for Training Neural Networks with Calibrated Predictions

7 October 2021

Papers citing "An Uncertainty-aware Loss Function for Training Neural Networks with Calibrated Predictions"

6 / 6 papers shown

Title
The Craft of Selective Prediction: Towards Reliable Case Outcome Classification -- An Empirical Study on European Court of Human Rights Cases T. Y. S. S. Santosh Irtiza Chowdhury Shanshan Xu Matthias Grabmair AILaw 20 0 0 27 Sep 2024
Trust-informed Decision-Making Through An Uncertainty-Aware Stacked Neural Networks Framework: Case Study in COVID-19 Classification Hassan Gharoun M. S. Khorshidi Fang Chen Amir H. Gandomi 23 0 0 19 Sep 2024
Enhanced Uncertainty Estimation in Ultrasound Image Segmentation with MSU-Net Rohini Banerjee Cecilia G. Morales Artur Dubrawski 17 1 0 31 Jul 2024
Error-Driven Uncertainty Aware Training Pedro Mendes Paolo Romano David Garlan UQCV 19 0 0 02 May 2024
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015