990641d09f71bcee0060a8f1704ab8e2-Paper-Conference.pdf

Neural Information Processing Systems 

Due to the recurrent structure of RNN, the long information propagation path poses limitations in capturing long-term dependencies, gradient explosion/vanishing issues, and inefficient sequential execution. Based on this, we propose a novel paradigm called Parallel Gated Network (PGN) as the new successor to RNN.

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