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Mean Embeddings with Test-Time Data Augmentation for Ensembling of Representations., , and . CoRR, (2021)Semi-Conditional Normalizing Flows for Semi-Supervised Learning., , , , and . CoRR, (2019)Bayesian Incremental Learning for Deep Neural Networks., , , , , and . ICLR (Workshop), OpenReview.net, (2018)Resolution-robust Large Mask Inpainting with Fourier Convolutions., , , , , , , , , and . CoRR, (2021)Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning., , , and . CoRR, (2020)Structured Bayesian Pruning via Log-Normal Multiplicative Noise., , , and . NIPS, page 6775-6784. (2017)Uncertainty Estimation via Stochastic Batch Normalization., , , , and . ISNN (1), volume 11554 of Lecture Notes in Computer Science, page 261-269. Springer, (2019)Variance Networks: When Expectation Does Not Meet Your Expectations, , , and . International Conference on Learning Representations, (2019)Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation., , , , and . UAI, volume 124 of Proceedings of Machine Learning Research, page 1308-1317. AUAI Press, (2020)Resolution-robust Large Mask Inpainting with Fourier Convolutions., , , , , , , , , and . WACV, page 3172-3182. IEEE, (2022)