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Why you should use weak supervision in refinery
Break Through ML Data Bottlenecks With Weak Supervision
Exploring the power of weak supervised learning
Can Pre-Trained Embeddings Augment Weak Supervision
FlyingSquid: Speeding Up Weak Supervision with Triplet Methods (ICML 2020)
What is Weak Supervision
MedAI Session 20: Many Faces of Weak Supervision in Medical Representation Learning | Jared Dunnmon
Semi-Weak Supervised Learning
Weak Supervision for Diverse Datatypes - Fred Sala | Stanford MLSys #51
Maria Mestre: Efficient data labelling with weak supervision
ODSC Webinar | Applying Interactive Weak Supervision to NLP Tasks
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Last Updated: October 1, 2026
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From the "635: The Perils of Manually Labeling Data for Machine Learning Models" in which speaks with ... Getting labeled training data is almost always the hardest part of an NLP program. In this video I describe how to use label ... In this video, Johannes is going to show you how we can integrate our different heuristics via Understanding the label model. Machine learning whiteboard (MLW) open-source series Frederic Sala, is an assistant professor ... In this video, we show you the basic concept of Join Braden Hancock, co-founder and head of technology at Snorkel AI, as he discusses Embark on an adventure as we delve into the unexplored realm of ML Whiteboard is an informal session where data scientists, machine learning engineers, and developers along with Snorkel AI ... Research Paper: arxiv.org/pdf/1905.00546.pdf Blog Post: ... Episode 51 of the Stanford MLSys Seminar Series! Efficiently Constructing Datasets for Diverse Datatypes Speaker: Fred Sala ... Speaker:: Maria Mestre Track: PyData: Natural Language Processing Data labelling is often considered a separate task that takes ...