BriefGPT.xyz
Jul, 2017
一个形式化的框架来表征可解释性程序
A Formal Framework to Characterize Interpretability of Procedures
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Amit Dhurandhar, Vijay Iyengar, Ronny Luss, Karthikeyan Shanmugam
TL;DR
我们提供了一个新颖的解释概念，其定义与目标模型有关，通过将其与准确性和鲁棒性等实际因素相联系，可以比较可解释程序的优劣，描绘了当前许多最先进的可解释方法的适用性。
Abstract
We provide a novel notion of what it means to be
interpretable
, looking past the usual association with human understanding. Our key insight is that interpretability is not an absolute concept and so we define it relative to a
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