Yungang Zhu

Forming Auxiliary High-confident Instance-level Loss to Promote Learning from Label Proportions

Learning from label proportions (LLP), i.e. a challenging weakly-supervised learning task, aims to train a classifier by using bags of instances and the proportions of classes within bags, rather than annotated labels for each instance. Beyond the traditional bag-level loss, the mainstream methodolo…