LoRA fine-tuning delivers better GI disease classification accuracy than full end-to-end fine-tuning while using far fewer parameters.
A new low-rank adaptation method for brain structure and metastasis segmentation via decoupled principal weight direction and magnitude.Scien- tific Reports, 15:27388
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Parameter Efficient Fine-tuning for Domain-specific Gastrointestinal Disease Recognition
LoRA fine-tuning delivers better GI disease classification accuracy than full end-to-end fine-tuning while using far fewer parameters.