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 ...

Ptr-NN solves problems such as sorting arrays using neural attention mechanism. It differs from other attentions because instead of using it as a mask to weight the encoder outputs it is used as a "C ...

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In their paper, “LegoNN: Building Modular Encoder-Decoder Models,” they propose a modality agnostic encoder for the sequence prediction task. These encoders use an output length controller (OLC) unit ...