Learning from Label Proportions with Instance-wise Consistency

1 code implementation • 24 Mar 2022 • Ryoma Kobayashi, Yusuke Mukuta, Tatsuya Harada

Learning from Label Proportions (LLP) is a weakly supervised learning method that aims to perform instance classification from training data consisting of pairs of bags containing multiple instances and the class label proportions within the bags.

Learning Theory Stochastic Optimization +1