An empirical comparison of four deep learning fault localisation tools on 22 faults shows low accuracy under a single ground truth, with measured recall rising when alternative equivalent fixes are included.
Autotrainer: An automatic dnn training problem detection and repair system,
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An Empirical Study of Fault Localisation Techniques for Deep Learning
An empirical comparison of four deep learning fault localisation tools on 22 faults shows low accuracy under a single ground truth, with measured recall rising when alternative equivalent fixes are included.