Talking-Heads Attention

March 05, 2020 ยท Declared Dead ยท ๐Ÿ› arXiv.org

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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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