Stochastic Negative Mining for Learning with Large Output Spaces

16 Oct 2018Sashank J. ReddiSatyen KaleFelix YuDan Holtmann-RiceJiecao ChenSanjiv Kumar

We consider the problem of retrieving the most relevant labels for a given input when the size of the output space is very large. Retrieval methods are modeled as set-valued classifiers which output a small set of classes for each input, and a mistake is made if the label is not in the output set... (read more)

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