ReMixMatch: Semi-Supervised Learning with Distribution Matching and Augmentation Anchoring

We improve the recently-proposed ``MixMatch semi-supervised learning algorithm by introducing two new techniques: distribution alignment and augmentation anchoring. - Distribution alignment encourages the marginal distribution of predictions on unlabeled data to be close to the marginal distribution of ground-truth labels... (read more)

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