Output Functions
Softmax
The Softmax output function transforms a previous layer's output into a vector of probabilities. It is commonly used for multiclass classification. Given an input vector $x$ and a weighting vector $w$ we have:
$$ P(y=j \mid{x}) = \frac{e^{x^{T}w_{j}}}{\sum^{K}_{k=1}e^{x^{T}wk}} $$
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| RAG | 60 | 6.81% |
| Retrieval-augmented Generation | 51 | 5.79% |
| Retrieval | 43 | 4.88% |
| Language Modeling | 22 | 2.50% |
| Language Modelling | 22 | 2.50% |
| Semantic Segmentation | 19 | 2.16% |
| Question Answering | 15 | 1.70% |
| Large Language Model | 13 | 1.48% |
| Decoder | 12 | 1.36% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
