Takanori Asanomi

MixBag: Bag-Level Data Augmentation for Learning from Label Proportions

Learning from label proportions (LLP) is a promising weakly supervised learning problem. In LLP, a set of instances (bag) has label proportions but no instance-level labels. LLP aims to train an instance-level classifier by using the label proportions of the bag. In this paper, we propose a bag-le…