论文标题
Airepair：神经网络的维修平台
AIREPAIR: A Repair Platform for Neural Networks
论文作者
论文摘要
我们提出了Airepair，这是一个修复神经网络的平台。它具有现有网络维修工具的集成。基于Airepair，可以在同一模型上运行不同的维修方法，从而可以对不同的维修技术进行公平比较。我们通过流行的深入学习数据集和模型的三种最先进的维修工具评估了空中舞会。我们的评估通过比较和分析不同维修技术的结果来证实空中飞机的效用。可以在https://youtu.be/ukkw5neewhw上获得演示。
We present AIREPAIR, a platform for repairing neural networks. It features the integration of existing network repair tools. Based on AIREPAIR, one can run different repair methods on the same model, thus enabling the fair comparison of different repair techniques. We evaluate AIREPAIR with three state-of-the-art repair tools on popular deep-learning datasets and models. Our evaluation confirms the utility of AIREPAIR, by comparing and analyzing the results from different repair techniques. A demonstration is available at https://youtu.be/UkKw5neeWhw.
