Before revision:  In order to evaluate the applicability of our approach to real-world applications, the framework is evaluated on tasks where distributional shiftsare introduced to unstructured input data , for which pre-trained neural networks are likely to predict incorrectly and with high confidence.
After revision:  In order to evaluate the applicability of our approach to real-world applications, the framework is evaluated on tasks where distributional shiftsare introduced to unstructured input data , for which pre-trained NNs may give incorrect predictions with high confidence.