A Gated Linear Unit, or GLU computes:
$$ \text{GLU}\left(a, b\right) = a\otimes \sigma\left(b\right) $$
It is used in natural language processing architectures, for example the Gated CNN, because here $b$ is the gate that control what information from $a$ is passed up to the following layer. Intuitively, for a language modeling task, the gating mechanism allows selection of words or features that are important for predicting the next word. The GLU also has non-linear capabilities, but has a linear path for the gradient so diminishes the vanishing gradient problem.
Source: Language Modeling with Gated Convolutional NetworksPaper | Code | Results | Date | Stars |
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Task | Papers | Share |
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Language Modelling | 93 | 9.43% |
Question Answering | 59 | 5.98% |
Text Generation | 39 | 3.96% |
Sentence | 39 | 3.96% |
Retrieval | 33 | 3.35% |
Translation | 27 | 2.74% |
Machine Translation | 22 | 2.23% |
Natural Language Understanding | 21 | 2.13% |
Semantic Parsing | 18 | 1.83% |
Component | Type |
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🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |