most citedAnalyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned

70 citations · 70 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CL2019★ 70 cited

Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned

Elena Voita, David Talbot, Fedor Moiseev +2

Multi-head self-attention is a key component of the Transformer, a state-of-the-art architecture for neural machine translation. In this work we evaluate the contribution made by i…