• computer vision
• continual learning
• deep learning
• machine learning
• prompt continual learning

In this thesis work, we propose a new family of Continual Learning scenarios, called
Concepts-based scenarios, for realizing Continual Learning benchmarks that are compliant
with real-world applications. Then, we illustrate how such scenarios can be faced using
Prompt-based methodologies for Continual Learning. Lastly, we discuss how the afore-
mentioned methods compare with the state-of-the-art Continual Learning techniques, and
we explore interesting future research directions.