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Found 2 papers, 1 papers with code
Active WeaSuL: Improving Weak Supervision with Active Learning
In Active WeaSuL, experts do not only define rules, but they also iteratively provide the true label for a small set of points where the weak supervision model is most likely to be mistaken, which are then used to better estimate the probabilistic labels.
Generalized Simultaneous Component Analysis of Binary and Quantitative data
To this end, we propose the generalized SCA (GSCA) model, which takes into account the distinct mathematical properties of binary and quantitative measurements in the maximum likelihood framework.
Methodology
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