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Jiaqi Lv

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  1. Provably Consistent Partial-Label Learning

    2020 · Neural Information Processing Systems

    Partial-label learning (PLL) is a multi-class classification problem, where each training example is associated with a set of candidate labels. Even though many practical PLL methods have been proposed in the last two decades, there …