GRU Encoder-Decoder
2014RNN encoder-decoder using gated recurrent units to map a variable-length input sequence to a variable-length output sequence for statistical machine translation (Cho et al., "Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation," arXiv:1406.1078, 2014). A simpler gated-recurrence alternative to LSTM, and the architecture Bahdanau et al.'s attention mechanism was built on top of.
Originators
- Cho, K.
- van Merrienboer, B.
- Gulcehre, C.
- Bahdanau, D.
- Bougares, F.
- Schwenk, H.
- Bengio, Y.
Landmark Paper
Checked 2026-09-19 — interim signal only, see docs/BASIC_ROADMAP.md Phase 10
Connections
- is component of Attention Mechanismbasis: reasoned
Bahdanau, Cho & Bengio's attention mechanism (ref [2]) was introduced inside the RNN encoder-decoder architecture from Cho et al. 2014 (ref [5]); the encoder-decoder is the structural context attention was added to, not a separate downstream consumer of it.