Weakly supervised clustering: Learning fine-grained signals from coarse labels

4 Oct 2013Stefan WagerAlexander BlockerNiall Cardin

Consider a classification problem where we do not have access to labels for individual training examples, but only have average labels over subpopulations. We give practical examples of this setup and show how such a classification task can usefully be analyzed as a weakly supervised clustering problem... (read more)

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