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Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play., , , , , , и . CoRR, (2023)Distributed Bayesian Learning with Stochastic Natural-gradient Expectation Propagation and the Posterior Server., , , , , , и . CoRR, (2015)Mondrian Forests: Efficient Online Random Forests., , и . NIPS, стр. 3140-3148. (2014)Combining Ensembles and Data Augmentation Can Harm Your Calibration., , , , , , и . ICLR, OpenReview.net, (2021)Training independent subnetworks for robust prediction., , , , , , , и . ICLR, OpenReview.net, (2021)Out-of-Distribution Detection and Selective Generation for Conditional Language Models., , , , , , и . ICLR, OpenReview.net, (2023)Plex: Towards Reliability using Pretrained Large Model Extensions., , , , , , , , , и 16 other автор(ы). CoRR, (2022)Does your dermatology classifier know what it doesn't know? Detecting the long-tail of unseen conditions., , , , , , , , , и 11 other автор(ы). Medical Image Anal., (2022)Normalizing Flows for Probabilistic Modeling and Inference., , , , и . J. Mach. Learn. Res., (2021)Test Sample Accuracy Scales with Training Sample Density in Neural Networks., , , , и . CoLLAs, том 199 из Proceedings of Machine Learning Research, стр. 629-646. PMLR, (2022)