Abstract: Deep neural networks often require large-scale, accurately labeled datasets to perform well, but in practice the labels are frequently corrupted by noise in medical imaging, especially ...
Abstract: Prompt-based learning has demonstrated remarkable success in few-shot text classification, outperforming the traditional fine-tuning approach. This method transforms a text input into a ...
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