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Talking-Heads Attention

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arxiv 2003.02436 v1 pith:D7VLL33G submitted 2020-03-05 cs.LG cs.NEcs.SDeess.ASstat.ML

Talking-Heads Attention

Noam Shazeer , Zhenzhong Lan , Youlong Cheng , Nan Ding , Le Hou This is my paper
classification cs.LG cs.NEcs.SDeess.ASstat.ML
keywords attentiontalking-headsbetterlanguagetasksacrossadditionaladditionalcomputation
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We introduce "talking-heads attention" - a variation on multi-head attention which includes linearprojections across the attention-heads dimension, immediately before and after the softmax operation.While inserting only a small number of additional parameters and a moderate amount of additionalcomputation, talking-heads attention leads to better perplexities on masked language modeling tasks, aswell as better quality when transfer-learning to language comprehension and question answering tasks.

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