论文标题
消融路径显着
Ablation Path Saliency
论文作者
论文摘要
已经提出了各种类型的显着性方法来解释黑盒分类。在图像应用程序中，这意味着要突出显示与当前决策最相关的图像的一部分。不幸的是，不同的方法可能不同意，很难量化这一解释的代表性和忠实。但是，我们观察到，这些方法中的几种可以看作是基于通过分类器域找到特定路径的单个，更通用过程的边缘情况。这为现有方法提供了其他几何解释。我们还证明，消融路径可以直接用作其本身的技术。这能够与现有基准的文献方法竞争，同时提供更多细粒度的信息和更好的验证解释忠诚的机会。
Various types of saliency methods have been proposed for explaining black-box classification. In image applications, this means highlighting the part of the image that is most relevant for the current decision. Unfortunately, the different methods may disagree and it can be hard to quantify how representative and faithful the explanation really is. We observe however that several of these methods can be seen as edge cases of a single, more general procedure based on finding a particular path through the classifier's domain. This offers additional geometric interpretation to the existing methods. We demonstrate furthermore that ablation paths can be directly used as a technique of its own right. This is able to compete with literature methods on existing benchmarks, while giving more fine-grained information and better opportunities for validation of the explanations' faithfulness.
