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