Convolutional Sequence to Sequence Learning

Jonas GehringMichael AuliDavid GrangierDenis YaratsYann N. Dauphin

   Papers with code   Abstract  PDF

The prevalent approach to sequence to sequence learning maps an input sequence to a variable length output sequence via recurrent neural networks. We introduce an architecture based entirely on convolutional neural networks... (read more)

Benchmarked Models

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MODEL
REPO
CODE RESULT
PAPER RESULT
ε-REPRODUCED
BUILD
1
ConvS2S
25.70
25.16
2
ConvS2S
22.81
25.16
RANK
MODEL
REPO
CODE RESULT
PAPER RESULT
ε-REPRODUCED
BUILD
RANK
MODEL
REPO
CODE RESULT
PAPER RESULT
ε-REPRODUCED
BUILD
1
ConvS2S
40.13
40.46