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Which Model to Transfer? Finding the Needle in the Growing Haystack.

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A Data Quality-Driven View of MLOps., , , , , и . CoRR, (2021)DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation., , , , , и . CCS, стр. 2146-2168. ACM, (2021)On Automatic Feasibility Study for Machine Learning Application Development with ease.ml/snoopy., , , , , и . CoRR, (2020)Evaluating Bayes Error Estimators on Read-World Datasets with FeeBee., , , и . CoRR, (2021)Automatic Feasibility Study via Data Quality Analysis for ML: A Case-Study on Label Noise., , , , и . ICDE, стр. 218-231. IEEE, (2023)Fine-tuning Language Models over Slow Networks using Activation Compression with Guarantees., , , , , , , и . CoRR, (2022)Which Model to Transfer? Finding the Needle in the Growing Haystack., , , , , , и . CoRR, (2020)Ease.ML: A Lifecycle Management System for Machine Learning., , , , , , , , , и 10 other автор(ы). CIDR, www.cidrdb.org, (2021)Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks., , , , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 3976-3987. PMLR, (2021)Fine-tuning Language Models over Slow Networks using Activation Quantization with Guarantees., , , , , , , и . NeurIPS, (2022)