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20192026
most citedOn the Reduction of Variance and Overestimation of Deep Q-Learning

7 citations · 14 across the 6 of their papers we have counts for

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Showing 2023 · cs.CLShow all

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cs.CL2023★ 4 cited

PEFT-Ref: A Modular Reference Architecture and Typology for Parameter-Efficient Finetuning Techniques

Mohammed Sabry, Anya Belz

Recent parameter-efficient finetuning (PEFT) techniques aim to improve over the considerable cost of fully finetuning large pretrained language models (PLM). As different PEFT tech…