Web: http://arxiv.org/abs/2205.01938

May 5, 2022, 1:12 a.m. | Jialun Cao, Meiziniu Li, Xiao Chen, Ming Wen, Yongqiang Tian, Bo Wu, Shing-Chi Cheung

cs.LG updates on arXiv.org arxiv.org

As Deep Learning (DL) systems are widely deployed for mission-critical
applications, debugging such systems becomes essential. Most existing works
identify and repair suspicious neurons on the trained Deep Neural Network
(DNN), which, unfortunately, might be a detour. Specifically, several existing
studies have reported that many unsatisfactory behaviors are actually
originated from the faults residing in DL programs. Besides, locating faulty
neurons is not actionable for developers, while locating the faulty statements
in DL programs can provide developers with more useful …

arxiv deep deep learning diagnosis learning localization

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