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Found 2 papers, 2 papers with code
ATCON: Attention Consistency for Vision Models
We propose an unsupervised fine-tuning method that optimizes the consistency of attention maps and show that it improves both classification performance and the quality of attention maps.
Improving Clinical Efficiency and Reducing Medical Errors through NLP-enabled diagnosis of Health Conditions from Transcription Reports
Misdiagnosis rates are one of the leading causes of medical errors in hospitals, affecting over 12 million adults across the US.
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