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Dropout as a Bayesian Approximation: Appendix, and . (2015)cite arxiv:1506.02157Comment: 20 pages, 1 figure; ICML proceedings version.VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning., , , , , , and . ICLR, OpenReview.net, (2020)Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning, , and . (2019)cite arxiv:1907.00865.Single Shot Structured Pruning Before Training., , , , and . CoRR, (2020)Uncertainty Quantification with Statistical Guarantees in End-to-End Autonomous Driving Control., , , , , and . ICRA, page 7344-7350. IEEE, (2020)Differentially Private Continual Learning., and . CoRR, (2019)Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks., , , , , , , , , and 5 other author(s). CoRR, (2021)Prioritized training on points that are learnable, worth learning, and not yet learned., , , , , , , , , and . CoRR, (2021)Global Earth Magnetic Field Modeling and Forecasting with Spherical Harmonics Decomposition., , , , , , , , and . CoRR, (2021)Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks., , , , , , , , and . CoRR, (2022)