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Found 2 papers, 1 papers with code
A Comparison of Self-Supervised Pretraining Approaches for Predicting Disease Risk from Chest Radiograph Images
Deep learning is the state-of-the-art for medical imaging tasks, but requires large, labeled datasets.
Prompt-Based Metric Learning for Few-Shot NER
Few-shot named entity recognition (NER) targets generalizing to unseen labels and/or domains with few labeled examples.
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