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Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs.

, , , , и . NeurIPS, стр. 8803-8812. (2018)

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Dietrich Pavel

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Faster variational inducing input Gaussian process classification., и . CoRR, (2016)There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average., , , и . ICLR (Poster), OpenReview.net, (2019)Tensor Train Decomposition on TensorFlow (T3F)., , , , и . J. Mach. Learn. Res., (2020)Subspace Inference for Bayesian Deep Learning., , , , , и . UAI, том 115 из Proceedings of Machine Learning Research, стр. 1169-1179. AUAI Press, (2019)Averaging Weights Leads to Wider Optima and Better Generalization., , , , и . UAI, стр. 876-885. AUAI Press, (2018)Dangers of Bayesian Model Averaging under Covariate Shift., , , и . NeurIPS, стр. 3309-3322. (2021)Why Normalizing Flows Fail to Detect Out-of-Distribution Data., , и . NeurIPS, (2020)FlexiViT: One Model for All Patch Sizes., , , , , , , , , и . CVPR, стр. 14496-14506. IEEE, (2023)On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification., , , и . NeurIPS, (2022)Can a Confident Prior Replace a Cold Posterior?, , и . CoRR, (2024)