
The author introduces Fine-grained Prompt Tuning (FPT) as a parameter-efficient method for medical image classification, reducing memory consumption in high-resolution contexts.


coremsg

fine-grained-prompt-tuning-for-efficient-medical-image-classification


Fine-grained Prompt Tuning for Efficient Medical Image Classification


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DoRA verbessert die Leistung von LoRA durch Gewichtszerlegung und zeigt überlegene Ergebnisse in verschiedenen Aufgaben.


dora-weight-decomposed-low-rank-adaptation-in-machine-learning


DoRA: Weight-Decomposed Low-Rank Adaptation in Machine Learning
