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:
$$ P(y=j \mid{x}) = \frac{e^{x^{T}w_{j}}}{\sum^{K}_{k=1}e^{x^{T}wk}} $$
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Task | Papers | Share |
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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% |
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Large Language Model | 13 | 1.48% |
Decoder | 12 | 1.36% |
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