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"MATE: Multi-view Attention for Table Transformer Efficiency."

Julian Martin Eisenschlos et al. (2021)

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DOI: 10.18653/V1/2021.EMNLP-MAIN.600

access: open

type: Conference or Workshop Paper

metadata version: 2023-07-17

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  dblp key:
  - conf/emnlp/EisenschlosG0C21
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  persistent URL:
  - https://dblp.org/rec/conf/emnlp/EisenschlosG0C21
Julian Martin Eisenschlos, Maharshi Gor, Thomas Müller, William W. Cohen:
MATE: Multi-view Attention for Table Transformer Efficiency. EMNLP (1) 2021: 7606-7619

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