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We improve the recently-proposed "MixMatch" semi-supervised learning algorithm by introducing two new techniques: distribution alignment and augmentation anchoring.
Verification of forecasts expressed in terms of probability
Glenn W. Brier · 1950
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Iterative reclassification procedure for constructing an asymptotically optimal rule of allocation in discriminant analysis
Geoffrey J. McLachlan · 1975
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John S. Bridle, Anthony J. R. Heading, and David J. C. MacKay · 1992
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Junbo Zhao, Michael Mathieu, Ross Goroshin, and Yann Lecun · 1992
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Label Propagation and Quadratic Criterion , chapter 11
Yoshua Bengio, Olivier Delalleau, and Nicolas Le Roux · 2006
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Spyros Gidaris, Praveer Singh, and Nikos Komodakis · 2018
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Takeru Miyato, Shin-ichi Maeda, Shin Ishii, and Masanori Koyama · 2018
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Guodong Zhang, Chaoqi Wang, Bowen Xu, and Roger Grosse · 2018
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Mixmatch: A holistic approach to semi-supervised learning
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