Papers with pruned attention heads

1 papers
On the weak link between importance and prunability of attention heads (2020.emnlp-main)

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Challenge: a large fraction of attention heads can be randomly pruned with limited effect on accuracy, a new study finds . a second study finds no advantage in pruning attention heads identified to be important based on the location of a head .
Approach: They examine the importance of pruning attention heads on a Transformer-based model . they find no advantage in pruning attention head positions on the BERT model based on location .
Outcome: The results show that pruning strategies on Transformer and BERT models are not important based on location . the results suggest that interpretation of attention heads does not strongly inform pruning strategies.

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