Methods › General › Self-Training Methods
Self-Training Methods
Semi-Supervised Learning methods leverage unlabelled data as well as labelled data to increase performance on machine learning tasks. Below you can find a continuously updating list of semi-supervised learning methods (this may have overlap with self-supervised methods due to evaluation protocol similarity).
Methods
All 2 methods in this collection, most-tagged first. Year is the archive's introduced_year; the archive stores 2000 when it has none, shown here as “–”. Papers counts distinct papers the archive tags with the method. Click a heading to sort.
| STraTA Self-Training with Task Augmentation | – | 1 |
| self-mem + new data | – | 1 |