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Interpretable machine learning: moving from mythos to diagnostics.

, , , , и . Commun. ACM, 65 (8): 43-50 (2022)

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Towards Connecting Use Cases and Methods in Interpretable Machine Learning., , , , и . CoRR, (2021)A Learning Theoretic Perspective on Local Explainability., , , и . CoRR, (2020)CODA: an open-source platform for federated analysis and machine learning on distributed healthcare data., , , , , , , , , и 8 other автор(ы). J. Am. Medical Informatics Assoc., 31 (3): 651-665 (февраля 2024)Interpretable machine learning: moving from mythos to diagnostics., , , , и . Commun. ACM, 65 (8): 43-50 (2022)A Learning Theoretic Perspective on Local Explainability., , , и . ICLR, OpenReview.net, (2021)Differentially Private Meta-Learning., , , и . ICLR, OpenReview.net, (2020)Language models scale reliably with over-training and on downstream tasks., , , , , , , , , и 13 other автор(ы). CoRR, (2024)An Advanced Private Social Activity Invitation Framework with Friendship Protection., , , , и . Wirel. Commun. Mob. Comput., (2017)Interpretable Machine Learning: Moving from mythos to diagnostics., , , , и . ACM Queue, 19 (6): 28-56 (2021)Differentially Private Meta-Learning., , , и . CoRR, (2019)