Multilabel reductions: what is my loss optimising?

NeurIPS 2019 Aditya K. MenonAnkit Singh RawatSashank ReddiSanjiv Kumar

Multilabel classification is a challenging problem arising in applications ranging from information retrieval to image tagging. A popular approach to this problem is to employ a reduction to a suitable series of binary or multiclass problems (e.g., computing a softmax based cross-entropy over the relevant labels)... (read more)

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