2021
Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training
ICML 2021spotlight
Self-training is a standard approach to semi-supervised learning where the learner’s own predictions on unlabeled data are used as supervision during training. In this paper, we reinterpret this label assignment process as an optimal transportation problem between examples and classes, wherein the c…