Reweighting the training loss to emphasize semantically salient tokens lets ophthalmological report generation models reach similar quality with up to ten times less data.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages=
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Weighting What Matters: Boosting Sample Efficiency in Medical Report Generation via Token Reweighting
Reweighting the training loss to emphasize semantically salient tokens lets ophthalmological report generation models reach similar quality with up to ten times less data.