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Flexible Few-Shot Learning with Contextual Similarity., , , , , , , and . CoRR, (2020)Quantile Risk Control: A Flexible Framework for Bounding the Probability of High-Loss Predictions., , , , and . ICLR, OpenReview.net, (2023)Lorentzian Distance Learning for Hyperbolic Representations., , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 3672-3681. PMLR, (2019)Dimensionality Reduction for Representing the Knowledge of Probabilistic Models., , , , and . ICLR (Poster), OpenReview.net, (2019)Meta-Learning for Semi-Supervised Few-Shot Classification., , , , , , , and . ICLR (Poster), OpenReview.net, (2018)Learning to Build Probabilistic Models with Limited Data.. University of Toronto, Canada, (2021)Stochastic Segmentation Trees for Multiple Ground Truths., and . UAI, AUAI Press, (2017)Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes., and . ICLR, OpenReview.net, (2021)Learning to generate images with perceptual similarity metrics., , , , and . CoRR, (2015)Learning to generate images with perceptual similarity metrics., , , , , and . ICIP, page 4277-4281. IEEE, (2017)