Exploratory Machine Learning with Unknown Unknowns

5 Feb 2020Yu-Jie ZhangPeng ZhaoZhi-Hua Zhou

In conventional supervised learning, a training dataset is given with ground-truth labels from a known label set, and the learned model will classify unseen instances to the known labels. In this paper, we study a new problem setting in which there are unknown classes in the training dataset misperceived as other labels, and thus their existence appears unknown from the given supervision... (read more)

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