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Subspace Inference for Bayesian Deep Learning.

, , , , , and . UAI, volume 115 of Proceedings of Machine Learning Research, page 1169-1179. AUAI Press, (2019)

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There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average., , , and . ICLR (Poster), OpenReview.net, (2019)Subspace Inference for Bayesian Deep Learning., , , , , and . UAI, volume 115 of Proceedings of Machine Learning Research, page 1169-1179. AUAI Press, (2019)Averaging Weights Leads to Wider Optima and Better Generalization., , , , and . UAI, page 876-885. AUAI Press, (2018)On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification., , , and . NeurIPS, (2022)Dangers of Bayesian Model Averaging under Covariate Shift., , , and . NeurIPS, page 3309-3322. (2021)Why Normalizing Flows Fail to Detect Out-of-Distribution Data., , and . NeurIPS, (2020)FlexiViT: One Model for All Patch Sizes., , , , , , , , , and . CVPR, page 14496-14506. IEEE, (2023)Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs., , , , and . NeurIPS, page 8803-8812. (2018)A Simple Baseline for Bayesian Uncertainty in Deep Learning., , , , and . NeurIPS, page 13132-13143. (2019)On Feature Learning in the Presence of Spurious Correlations., , , and . NeurIPS, (2022)