Methods › General › Output Functions
Output Functions
Output functions are layers used towards the end of a network to transform to the desired form for a loss function. For example, the softmax relies on logits to construct a conditional probability. Below you can find a continuously updating list of output functions.
Methods
All 10 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.
| Softmax | – | 37,443 |
| Heatmap | – | 437 |
| Mixture of Logistic Distributions | – | 170 |
| Adaptive Softmax | – | 72 |
| EVM Extreme Value Machine | – | 32 |
| Sparsemax | – | 27 |
| Hierarchical Softmax | – | 12 |
| PAFs Part Affinity Fields | – | 6 |
| Mixture of Softmaxes | – | 3 |
| ADRM Adaptive Dynamic Recursive Mapping | – | 1 |