Металлернинговый алгоритм
method
ID: metalearningalgorithm
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On Negative Interference in Multilingual Models: Findings and A Meta-Learning Treatment
AbstractModern multilingual models are trained on concatenated text from multiple languages in hopes of conferring benefits to each (positive transfer), with the most pronounced benefits accruing to low-resource languages. However, …...
Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning
AbstractUnsupervised machine translation, which utilizes unpaired monolingual corpora as training data, has achieved comparable performance against supervised machine translation. However, it still suffers from data-scarce domains. To address this issue, …...