Learning with Inadequate and Incorrect Supervision

Chen Gong, Hengmin Zhang, Jian Yang +1

Practically, we are often in the dilemma that the labeled data at hand are inadequate to train a reliable classifier, and more seriously, some of these labeled data may be mistaken…