most citedEfficient Fine-Tuning of BERT Models on the Edge

31 citations · 32 across the 3 of their papers we have counts for

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cs.CL2022

Efficient Fine-Tuning of Compressed Language Models with Learners

Danilo Vucetic, Mohammadreza Tayaranian, Maryam Ziaeefard +3

Fine-tuning BERT-based models is resource-intensive in memory, computation, and time. While many prior works aim to improve inference efficiency via compression techniques, e.g., p…