Papers with thresholding operator

1 papers
Pruning Redundant Mappings in Transformer Models via Spectral-Normalized Identity Prior (2020.findings-emnlp)

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Challenge: Spectral-normalized identity priors (SNIP) is a structured pruning approach for a Transformer model.
Approach: They propose a structured pruning approach which penalizes an entire residual module toward an identity mapping.
Outcome: The proposed method improves on 5 GLUE benchmark tasks while maintaining comparable performance.

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