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Efficient Online ML API Selection for Multi-Label Classification Tasks., , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 3716-3746. PMLR, (2022)HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions., , , , , и . NeurIPS, (2022)Estimating and Explaining Model Performance When Both Covariates and Labels Shift., , и . NeurIPS, (2022)Demonstration of Nimbus: Model-based Pricing for Machine Learning in a Data Marketplace., , , , и . SIGMOD Conference, стр. 1885-1888. ACM, (2019)Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews., , , , , , , , , и 2 other автор(ы). CoRR, (2024)Tuple-oriented Compression for Large-scale Mini-batch Stochastic Gradient Descent., , , , , , и . SIGMOD Conference, стр. 1517-1534. ACM, (2019)Enabling and Optimizing Non-linear Feature Interactions in Factorized Linear Algebra., , и . SIGMOD Conference, стр. 1571-1588. ACM, (2019)A Novel Public Key Encryption Scheme for Large Image., , и . TrustCom, стр. 955-960. IEEE Computer Society, (2014)Model ChangeLists: Characterizing Updates to ML Models., , , , , , и . FAccT, стр. 2432-2453. ACM, (2024)Model-based Pricing: Do Not Pay for More than What You Learn!, , и . DEEM@SIGMOD, стр. 1:1-1:4. ACM, (2017)