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Towards Observability for Machine Learning Pipelines., and . CIDR, www.cidrdb.org, (2022)Adversarial Examples that Fool both Computer Vision and Time-Limited Humans., , , , , , and . NeurIPS, page 3914-3924. (2018)Optimal Transfer Learning Model for Binary Classification of Funduscopic Images through Simple Heuristics., , and . CoRR, (2020)"We Have No Idea How Models will Behave in Production until Production": How Engineers Operationalize Machine Learning., , , and . Proc. ACM Hum. Comput. Interact., 8 (CSCW1): 1-34 (2024)It Took Longer than I was Expecting: Why is Dataset Search Still so Hard?, , , and . HILDA@SIGMOD, page 1-4. ACM, (2024)Operationalizing Machine Learning: An Interview Study., , , and . CoRR, (2022)Eighth Workshop on Data Management for End-to-End Machine Learning (DEEM)., , and . SIGMOD Conference Companion, page 651-652. ACM, (2024)SPADE: Synthesizing Data Quality Assertions for Large Language Model Pipelines., , , , , , , , , and . Proc. VLDB Endow., 17 (12): 4173-4186 (August 2024)Seventh Workshop on Data Management for End-to-End Machine Learning (DEEM)., , , and . SIGMOD Conference Companion, page 305-306. ACM, (2023)Automatic and Precise Data Validation for Machine Learning., , , and . CIKM, page 2198-2207. ACM, (2023)