TR-PTS combines Fisher-information-based parameter selection with attention-based token pruning and merging to achieve state-of-the-art accuracy in efficient vision transformer fine-tuning.
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TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning
TR-PTS combines Fisher-information-based parameter selection with attention-based token pruning and merging to achieve state-of-the-art accuracy in efficient vision transformer fine-tuning.