"Towards Computationally Feasible Deep Active Learning."

Akim Tsvigun et al. (2022)

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DOI: 10.18653/V1/2022.FINDINGS-NAACL.90

access: open

type: Conference or Workshop Paper

metadata version: 2022-08-01

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  dblp key:
  - conf/naacl/TsvigunSKSLGAZ22
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  - https://dblp.org/rec/conf/naacl/TsvigunSKSLGAZ22
Akim Tsvigun, Artem Shelmanov, Gleb Kuzmin, Leonid Sanochkin, Daniil Larionov, Gleb Gusev, Manvel Avetisian, Leonid Zhukov:
Towards Computationally Feasible Deep Active Learning. NAACL-HLT (Findings) 2022: 1198-1218

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