additive attention
E2185174
UNEXPLORED
Additive attention is a neural network mechanism that computes attention scores using a learned feedforward network, enabling models to focus on relevant parts of the input sequence for tasks like machine translation.
All labels observed (1)
| Label | Occurrences |
|---|---|
| additive attention canonical | 1 |
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.