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Updated: Jun 15, 2025

A Two-interval Forced-choice Task for Multisensory Comparisons
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Published on: November 9, 2018

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调整任务算法以解决多机构数据集上训练的模型中的偏差.

Xiruo Ding1, Zhecheng Sheng2, Brian Hur1

  • 1Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, USA.

Journal of biomedical informatics
|June 10, 2025
PubMed
概括

深度学习模型可以从数据源中显示偏差,称为来源混. 新的方法,TAPER和DAPPER,使用任务算法来减少自然语言处理模型中的这种偏差.

关键词:
造成混的转移.大型语言模型.低级别的适应 (LoRA)多机构数据集多机构数据集坚固性 坚固性任务算术 任务算术

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