Methods › General › Twin Networks
Twin Networks
Twin Networks are a type of neural network architecture where we use two of the same network architecture to perform a task. For example, Siamese Networks are used to learn representations that differentiate between inputs (learning their similarity). Below you can find a continuously updating list of twin network architectures.
Methods
All 1 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.
| Siamese Network | 1993 | 343 |