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Found 2 papers, 2 papers with code
Low-Rank Rescaled Vision Transformer Fine-Tuning: A Residual Design Approach
Parameter-efficient fine-tuning for pre-trained Vision Transformers aims to adeptly tailor a model to downstream tasks by learning a minimal set of new adaptation parameters while preserving the frozen majority of pre-trained parameters.
Efficient Adaptation of Large Vision Transformer via Adapter Re-Composing
Consequently, effectively adapting large pre-trained models to downstream tasks in an efficient manner has become a prominent research area.
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