Methods › Natural Language Processing › Sentence Embeddings
Sentence Embeddings
Self-Supervised Learning refers to a category of methods where we learn representations in a self-supervised way (i.e without labels). These methods generally involve a pretext task that is solved to learn a good representation and a loss function to learn with. Below you can find a continuously updating list of self-supervised methods.
Methods
All 8 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.
| MTS Matching The Statements | – | 107 |
| SBERT Sentence-BERT | – | 64 |
| SimCSE | – | 52 |
| Mirror-BERT | – | 6 |
| DeCLUTR | – | 3 |
| TSDAE | – | 3 |
| PAUSE | – | 2 |
| Trans-Encoder | – | 1 |