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Towards Computationally Feasible Deep Active Learning
Findings (NAACL) 2022 7
from 1 papers
Akim Tsvigun
Artem Shelmanov
Daniil Larionov
Gleb Gusev
Gleb Kuzmin
Leonid Sanochkin
Leonid Zhukov