  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.
