Bidirectional Loss Function for Label Enhancement and Distribution Learning

7 Jul 2020Xinyuan LiuJihua ZhuQinghai ZhengZhongyu LiRuixin LiuJun Wang

Label distribution learning (LDL) is an interpretable and general learning paradigm that has been applied in many real-world applications. In contrast to the simple logical vector in single-label learning (SLL) and multi-label learning (MLL), LDL assigns labels with a description degree to each instance... (read more)

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