SourceScore

Verified claim · AI-ML · 100% confidence

Sequence-to-Sequence Learning (seq2seq) introduced in paper: Sequence to Sequence Learning with Neural Networks (Sutskever, Vinyals, Le, 2014).

Last verified 2026-05-16 · Methodology veritas-v0.1 · ff80a25ed7e83b45

Structured fields

Subject
Sequence-to-Sequence Learning (seq2seq)
Predicate
introduced_in_paper
Object
Sequence to Sequence Learning with Neural Networks (Sutskever, Vinyals, Le, 2014)
Confidence
100%
Tags
seq2seq · encoder-decoder · lstm · foundational · 2014 · nips · google

Sources (2)

  1. [1] preprint · arXiv (Sutskever, Vinyals, Le) · 2014-09-10

    Sequence to Sequence Learning with Neural Networks
    We present a general end-to-end approach to sequence learning that makes minimal assumptions on the sequence structure. Our method uses a multilayered Long Short-Term Memory (LSTM) to map the input sequence to a vector of a fixed dimensionality, and then another deep LSTM to decode the target sequence from the vector.
  2. [2] peer reviewed · NeurIPS Foundation · 2014-12-08

    Sequence to Sequence Learning with Neural Networks (NeurIPS 2014)

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