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Related Papers

Masking as an Efficient Alternative to Finetuning for Pretrained Language Models

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractWe present an efficient method of utilizing pretrained language models, where we learn selective binary masks for pretrained weights in lieu of modifying them through finetuning. Extensive evaluations of masking …...

30784

On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractPre-Training (PT) of text representations has been successfully applied to low-resource Neural Machine Translation (NMT). However, it usually fails to achieve notable gains (some- times, even worse) on resource-rich NMT …...

4776

On the Interaction of Regularization Factors in Low-resource Neural Machine Translation

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractWe explore the roles and interactions of the hyper-parameters governing regularization, and propose a range of values applicable to low-resource neural machine translation. We demonstrate that default or recommended values …...

3071