UniMLR uses positive-positive label pairs and Gaussian significance scores to unify multi-label classification and ranking, evaluated on new Ranked MNIST datasets.
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UniMLR: Modeling Implicit Class Significance for Multi-Label Ranking
UniMLR uses positive-positive label pairs and Gaussian significance scores to unify multi-label classification and ranking, evaluated on new Ranked MNIST datasets.