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Towards Computationally Feasible Deep Active Learning

May 07, 2022
Akim Tsvigun, Artem Shelmanov, Gleb Kuzmin, Leonid Sanochkin, Daniil Larionov, Gleb Gusev, Manvel Avetisian, Leonid Zhukov

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* Accepted at NAACL-2022 Findings 

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