Construct · 1 fields · 1 citations

parameter-efficient fine-tuning: a standalone construct

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Deep learning

adapting a large pretrained network to new tasks by training a small number of added or selected parameters, such as adapter layers, while the rest stay frozen.

In deep learning, parameter-efficient fine-tuning refers to adapting a large pretrained network to new tasks by training a small number of added or selected parameters, such as adapter layers, while the rest stay frozen. This meaning comes from Houlsby (2019) in arXiv.[1]

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deep learning1 fields · 1 citationsanchor · a standalone construct fine-tuning3 fields · 6 citationsjingle · one word, three constructs learning6 fields · 14 citationsjingle · one name, six constructs

References

Houlsby, N., Giurgiu, A., Jastrzebski, S., Morrone, B., de Laroussilhe, Q., Gesmundo, A., Attariyan, M., & Gelly, S. (2019). Parameter-Efficient Transfer Learning for NLP. arXiv. https://doi.org/10.48550/arxiv.1902.00751

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