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Snorkel MeTaL: Weak Supervision for Multi-Task Learning., , , , and . DEEM@SIGMOD, page 3:1-3:4. ACM, (2018)Snorkel: rapid training data creation with weak supervision, , , , , and . The VLDB Journal, 29 (2): 709--730 (May 1, 2020)Learning the Structure of Generative Models without Labeled Data., , , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 273-282. PMLR, (2017)Cross-Modal Data Programming Enables Rapid Medical Machine Learning., , , , , , , , , and 1 other author(s). CoRR, (2019)On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-training., , , , and . CoRR, (2023)Snorkel: A System for Lightweight Extraction., , , , , and . CIDR, www.cidrdb.org, (2017)Training Complex Models with Multi-Task Weak Supervision., , , , , and . AAAI, page 4763-4771. AAAI Press, (2019)Doubly Weak Supervision of Deep Learning Models for Head CT., , , , , , and . MICCAI (3), volume 11766 of Lecture Notes in Computer Science, page 811-819. Springer, (2019)Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias., , , , , , , and . CoRR, (2023)Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices., , , , and . CoRR, (2019)