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Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale., , , , , , , , , and 3 other author(s). SIGMOD Conference, page 362-375. ACM, (2019)DMLR: Data-centric Machine Learning Research - Past, Present and Future., , , , , , , , , and 28 other author(s). CoRR, (2023)The Role of Massively Multi-Task and Weak Supervision in Software 2.0., , and . CIDR, www.cidrdb.org, (2019)Collective Supervision of Topic Models for Predicting Surveys with Social Media., , , and . AAAI, page 2892-2898. AAAI Press, (2016)Generating Titles for Web Tables., , and . WWW, page 638-647. ACM, (2019)Training Classifiers with Natural Language Explanations., , , , , and . ACL (1), page 1884-1895. Association for Computational Linguistics, (2018)Learning from Dialogue after Deployment: Feed Yourself, Chatbot!, , , and . ACL (1), page 3667-3684. Association for Computational Linguistics, (2019)Weak supervision from high-level abstractions.. Stanford University, USA, (2019)Snorkel MeTaL: Weak Supervision for Multi-Task Learning., , , , and . DEEM@SIGMOD, page 3:1-3:4. ACM, (2018)Parallel Vectorized Algebraic AES in MATLAB for Rapid Prototyping of Encrypted Sensor Processing Algorithms and Database Analytics., , , , , and . CoRR, (2015)