"Train Big, Then Compress: Rethinking Model Size for Efficient Training and ..."

Zhuohan Li et al. (2020)

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DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2024-02-21

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  dblp key:
  - conf/icml/LiWSLKKG20
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  - https://dblp.org/rec/conf/icml/LiWSLKKG20
Zhuohan Li, Eric Wallace, Sheng Shen, Kevin Lin, Kurt Keutzer, Dan Klein, Joey Gonzalez:
Train Big, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers. ICML 2020: 5958-5968

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