====== Semi-Supervised Learning ======

===== Overviews =====
  * [[https://arxiv.org/pdf/2103.00550.pdf|Yang et al 2021 - A Survey on Deep Semi-supervised Learning]]

===== Papers =====
  * **NoisyStudent:** [[https://arxiv.org/pdf/1911.04252.pdf|Xie et al 2019 - Self-training with Noisy Student improves ImageNet classification]] Works even with lots of labeled data. Used in [[https://aclanthology.org/2022.aacl-short.37.pdf|Zhang 2022]]

===== Related Pages =====
  * [[Data Augmentation]]
  * [[nlp:Domain Adaptation]]