Identifying datapoints that substantially differ from normality is the task of anomaly detection
(AD). While AD has gained widespread attention in rich data domains such as images …

Biological and artificial agents need to deal with constant changes in the real world. We
study this problem in four classical continuous control environments, augmented with …

The scheme of adaptation via meta-learning is seen as an ingredient for solving the problem
of data shortage or distribution shift in real-world applications, but it also brings the new risk …

Das maschinelle Lernen befasst sich mit dem Lernen von Modellen anhand von Daten. Die
Kombination mit neuronalen Netzen wird gemeinhin als Deep Learning bezeichnet und hat …

El seguimiento preciso de manos, tanto en especies humanas como no humanas, es
fundamental en campos como la biomecánica y neurología. La inteligencia artificial (IA) ha …

Accurately scientific disciplines, including biomechanics, genetics, ethology, and neurology,
it is essential to accurately track the behavior of animals throughout studies, particularly …