Случайные автоэнкодеры

method ID: randomautoencoders

Related Papers

Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractDue to the huge amount of parameters, finetuning of pretrained language models (PLMs) is prone to overfitting in the low resource scenarios. In this work, we present a novel method …...

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