Achieving high reliability in AI systems—such as autonomous vehicles that stay on course even in snowstorms or medical AI ...

Abstract Model robustness indicates a model's capability to generalize well on unforeseen distributional shifts, including data corruptions and ...

Currently, deep learning is the most important technique for solving many complex machine vision problems. State-of-the-art deep learning models typically contain a very large number of parameters ...

Deep learning (DL) is a type of artificial intelligence (AI) that utilizes artificial neural networks (ANNs) to process data through two or more layers, each of which can recognize complex features of ...