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Found 2 papers, 2 papers with code
Hitting the Target: Stopping Active Learning at the Cost-Based Optimum
This work enables practitioners to employ active learning by providing actionable recommendations for which stopping criteria are best for a given real-world scenario.
Memento: Facilitating Effortless, Efficient, and Reliable ML Experiments
Running complex sets of machine learning experiments is challenging and time-consuming due to the lack of a unified framework.
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