testing

Human-in-the-Loop Synthetic Text Data Inspection with Provenance Tracking

Data augmentation techniques apply transformations to existing texts to generate additional data. The transformations may produce low-quality texts, where the meaning of the text is changed and the text may even be mangled beyond human comprehension. …

Is Neuron Coverage a Meaningful Measure for Testing Deep Neural Networks?

Recent effort to test deep learning systems has produced an intuitive and compelling test criterion called neuron coverage (NC), which resembles the notion of traditional code coverage. NC measures the proportion of neurons activated in a neural …

MODE: Automated Neural Network Debugging Replication Project

Open source implementation based on the original paper by Shiqing Ma *et al.* with a comparison of newly considered distance functions for selecting next training inputs.