The recent success of large language models (LLMs) trained on static, pre-collected,
general datasets has sparked numerous research directions and applications. One such …

Reliability and robustness are fundamental requisites for the successful integration of deep-
learning models into real-world applications. Deployed models must exhibit an awareness …

When deploying a trained machine learning model in the real world, it is inevitable to
receive inputs from out-of-distribution (OOD) sources. For instance, in continual learning …