Curriculum Learning

Curriculum Learning is an approach in machine learning that involves training models on progressively complex tasks or datasets. The idea is to start with easier tasks that the model can learn quickly and then gradually introduce more challenging tasks as the model improves. This method mimics the way humans often learn, where foundational knowledge is built before tackling more difficult concepts. By structuring the learning process in this way, Curriculum Learning aims to enhance the efficiency and effectiveness of the training process, helping models converge faster and achieve better performance on complex problems. It is often applied in various areas, including natural language processing, computer vision, and reinforcement learning.