Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training

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...

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Veröffentlicht in:	arXiv.org 2021-06
Hauptverfasser:	Kai Sheng Tai, Bailis, Peter, Valiant, Gregory
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Annealing Optimization Transportation problem Upper bounds
Online-Zugang:	Volltext
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