Data Programming: Creating Large Training Sets, Quickly

NeurIPS 2016 Alexander RatnerChristopher De SaSen WuDaniel SelsamChristopher Ré

Large labeled training sets are the critical building blocks of supervised learning methods and are key enablers of deep learning techniques. For some applications, creating labeled training sets is the most time-consuming and expensive part of applying machine learning... (read more)

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