Talking-Heads Attention
March 05, 2020 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Noam Shazeer, Zhenzhong Lan, Youlong Cheng, Nan Ding, Le Hou
arXiv ID
2003.02436
Category
cs.LG: Machine Learning
Cross-listed
cs.NE,
cs.SD,
eess.AS,
stat.ML
Citations
95
Venue
arXiv.org
Last Checked
4 months ago
Abstract
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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