CANONICAL HISTORY
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever, Oriol Vinyals, and Quoc V. Le submitted 'Sequence to Sequence Learning with Neural Networks' on September 10, 2014, presenting an end-to-end sequence-learning approach that uses one multilayer LSTM to encode an input sequence into a fixed-dimensional vector and another deep LSTM to decode the target sequence.
Evidence / resource
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Record identity
LINEAiGE IDseq2seq-2014