Papers with self-attention mechanism complexity

1 papers
On the Locality of Attention in Direct Speech Translation (2022.acl-srw)

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Challenge: Recent advances in NLP have created problems with the complexity of the self-attention layer.
Approach: They propose to substitute standard self-attention with a local efficient one to avoid the computation of attention weights.
Outcome: The proposed model matches the baseline performance and improves efficiency by skipping the computation of weights that standard attention discards.

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