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Weakly supervised label learning flows

Neural Networks
Supervised learning usually requires a large amount of labelled data. However, attaining ground-truth labels is costly for many tasks. Alternatively, weakly supervised methods learn with cheap weak signals that only approximately label some data.
Wenzhuo Song, You Lu, Bert Huang
exaly   +2 more sources

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