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Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks., , , , , , , , and . CoRR, (2022)Bayesian Layers: A Module for Neural Network Uncertainty., , , and . CoRR, (2018)Morse Neural Networks for Uncertainty Quantification., , , , and . CoRR, (2023)A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models., , , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 547-568. PMLR, (2023)Analyzing the role of model uncertainty for electronic health records., , , , , , , and . CHIL, page 204-213. ACM, (2020)Plex: Towards Reliability using Pretrained Large Model Extensions., , , , , , , , , and 16 other author(s). CoRR, (2022)Graph Convolutional Transformer: Learning the Graphical Structure of Electronic Health Records., , , , , , and . CoRR, (2019)Measuring Calibration in Deep Learning., , , , and . CVPR Workshops, page 38-41. Computer Vision Foundation / IEEE, (2019)Combining Ensembles and Data Augmentation Can Harm Your Calibration., , , , , , and . ICLR, OpenReview.net, (2021)Combining Ensembles and Data Augmentation can Harm your Calibration., , , , , , and . CoRR, (2020)