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01 / Understand

Attention Is All You Need

Vaswani et al. · 2017 · arXiv:1706.03762

The question: Can attention alone support a strong sequence-to-sequence model?
The main idea: The Transformer replaces recurrence and convolution with attention. The paper evaluates it on translation tasks.
A point to check: Results on these benchmarks do not establish performance on every language or task.

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02 / Check references

A preprint has a published version

Your reference

Vaswani et al., 2017
arXiv:1706.03762

Publication to review

Advances in Neural Information Processing Systems 30 (2017)

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03 / Keep up

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Attention Is All You Need

A model built around attention for sequence-to-sequence learning. This paper introduces the Transformer and evaluates machine translation performance.

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