Language Models

Gated Convolution Network

Introduced by Dauphin et al. in Language Modeling with Gated Convolutional Networks

A Gated Convolutional Network is a type of language model that combines convolutional networks with a gating mechanism. Zero padding is used to ensure future context can not be seen. Gated convolutional layers can be stacked on top of other hierarchically. Model predictions are then obtained with an adaptive softmax layer.

Source: Language Modeling with Gated Convolutional Networks

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Tasks


Task Papers Share
Continual Learning 1 50.00%
Language Modelling 1 50.00%

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