论文标题
Relu代码空间：除精度外，评级网络质量的基础
ReLU Code Space: A Basis for Rating Network Quality Besides Accuracy
论文作者
论文摘要
我们提出了一个新的Relu激活代码的新度量空间，该指数配备有截短的锤距，该锤距离在输入空间中建立了其元素和多面体体之间的等轴测图，最近已显示出与安全性，稳健性和置信度密切相关。该等距允许有效地计算多面体物体之间的邻接关系。关于MNIST和CIFAR-10的实验表明，除精度外，信息可能存储在代码空间中。
We propose a new metric space of ReLU activation codes equipped with a truncated Hamming distance which establishes an isometry between its elements and polyhedral bodies in the input space which have recently been shown to be strongly related to safety, robustness, and confidence. This isometry allows the efficient computation of adjacency relations between the polyhedral bodies. Experiments on MNIST and CIFAR-10 indicate that information besides accuracy might be stored in the code space.
