What can be said about the tasks used in curriculum learning?

In curriculum learning, the tasks are designed to progressively increase in complexity. This approach mirrors educational practices where learners begin with simpler concepts and gradually tackle more difficult ones as they build their understanding and skills. By structuring the learning process in this way, models can achieve better performance and generalization, as they are allowed to develop foundational knowledge before confronting more challenging scenarios.

This incremental difficulty helps prevent overwhelming the model, enabling it to learn effectively by first mastering easier tasks, which can then serve as stepping stones to tackle more complex tasks. This understanding is key for designing effective learning schedules in machine learning environments.