BriefGPT.xyz
Jul, 2023
路径,解释,重复:模糊了事后可解释性与可解释模型之间的界限
Route, Interpret, Repeat: Blurring the line between post hoc explainability and interpretable models
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Shantanu Ghosh, Ke Yu, Forough Arabshahi, Kayhan Batmanghelich
TL;DR
本文提出了一种混合解释性模型和灵活模型来实现机器学习模型设计的方法,其中以一种新的方式使用一阶逻辑来实现解释性模型,同时通过不断的迭代优化过程从而达到较好的性能表现,并为混合符号连接网络提供了框架。
Abstract
The current approach to
ml model design
is either to choose a flexible
blackbox model
and explain it post hoc or to start with an interpretable model. Blackbox models are flexible but difficult to explain, wherea
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