Environmental changes can profoundly impact the performance of artificial intelligence
systems operating in the real world, with effects ranging from overt catastrophic failures to …

Various approaches have been proposed for out-of-distribution (OOD) detection by
augmenting models, input examples, training set, and optimization objectives. Deviating …

The safe application of machine learning systems in healthcare relies on valid performance
claims. Such claims are typically established in a clinical validation setting designed to be as …

Performance of convolutional neural networks (CNNs) in image analysis tasks is often
marred in the presence of acquisition-related distribution shifts between training and test …

Machine learning algorithms-in particular, those based on convolutional neural networks
(CNNs)-have demonstrated remarkable promise in a number of medical image analysis …

Although recent successes of deep learning and novel machine learning techniques
improved the performance of classification and (anomaly) detection in computer vision …