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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.
Analysing Symbolic Regression Benchmarks under a Meta-Learning Approach
An initial analysis of 63 datasets showed that current benchmarks are concentrated in a small region of this benchmark space.
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