Socratic Learning: Augmenting Generative Models to Incorporate Latent Subsets in Training Data

25 Oct 2016Paroma VarmaBryan HeDan IterPeng XuRose YuChristopher De SaChristopher Ré

A challenge in training discriminative models like neural networks is obtaining enough labeled training data. Recent approaches use generative models to combine weak supervision sources, like user-defined heuristics or knowledge bases, to label training data... (read more)

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