The document discusses developing active learning algorithms to jointly discover rare categories and learn to classify them from data. It proposes a unified active learning model that can adapt query criteria online to achieve both goals simultaneously. The model combines generative and discriminative classifiers, switching between them as learning progresses. An evaluation on standard datasets demonstrates the approach outperforms existing methods.