The parameters of the two NN are jointly learned by using a training set and the back-propagation algorithm. The resulting architecture can then be viewed as an underparametrized graph-aware ...

Pointer NN differs from the previous attention attempts in that, instead of using attention to weight hidden units of an encoder, it uses attention as a pointer to select a member of the input ...

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Encoder-Decoder Architectures Encoder-decoder architectures are a broad category of models used primarily for tasks that involve transforming input data into output data of a different form or ...