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pro vyhledávání: '"Kim, NakYil"'
Knowledge distillation (KD), transferring knowledge from a cumbersome teacher model to a lightweight student model, has been investigated to design efficient neural architectures. Generally, the objective function of KD is the Kullback-Leibler (KL) d
Externí odkaz:
http://arxiv.org/abs/2105.08919
In the machine learning algorithms, the choice of the hyperparameter is often an art more than a science, requiring labor-intensive search with expert experience. Therefore, automation on hyperparameter optimization to exclude human intervention is a
Externí odkaz:
http://arxiv.org/abs/2012.03501