Papers by Sai Prasanna

1 papers
When BERT Plays the Lottery, All Tickets Are Winning (2020.emnlp-main)

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Challenge: Large Transformer-based models are reduced to a smaller number of self-attention heads and layers.
Approach: They propose to prune BERT self-attention heads and layers to find subnetworks with comparable performance . they also extend this technique to multi-layer perceptrons to find out if they are unstable .
Outcome: The proposed models are able to achieve 90% of full model performance with structured pruning and similar-sized subnetworks sampled from the rest of the model perform worse.

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