- 1.Papers[]
- 2.Paper Reading Notes
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Temporal ensembling for semi-supervised learning. Samuli Laine and Timo Aila. paper_url
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Mean teacher: Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results. paper_url
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VAT: Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning. paper_url
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fast SWA: There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average. paper_url
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ICT by Bengio: Interpolation Consistency Training for Semi-Supervised Learning. paper_url
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MixMatch by Ian Goodfellow: Interpolation Consistency Training for Semi-Supervised Learning. paper_url
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