Much research on Machine Learning testing relies on empirical studies th...
Testing deep learning-based systems is crucial but challenging due to th...
Representing source code in a generic input format is crucial to automat...
The costly human effort required to prepare the training data of machine...
The next era of program understanding is being propelled by the use of
m...
Recently, deep neural networks (DNNs) have been widely applied in progra...
Graph neural networks (GNNs) have recently been popular in natural langu...
Deep learning plays a more and more important role in our daily life due...
Over the past few years, deep learning (DL) has been continuously expand...
Deep Neural Networks (DNNs) have gained considerable attention in the pa...
Various deep neural networks (DNNs) are developed and reported for their...
Active learning is an established technique to reduce the labeling cost ...
Deep Neural Networks (DNNs) are vulnerable to adversarial examples, whic...