Large-scale Multi-label Learning with Missing Labels

  title={Large-scale Multi-label Learning with Missing Labels},
  author={Hsiang-Fu Yu and Prateek Jain and Inderjit S. Dhillon},
The multi-label classification problem has generated significant interest in recent years. However, existing approaches do not adequately address two key challenges: (a) the ability to tackle problems with a large number (say millions) of labels, and (b) the ability to handle data with missing labels. In this paper, we directly address both these problems by studying the multi-label problem in a generic empirical risk minimization (ERM) framework. Our framework, despite being simple, is… CONTINUE READING
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