Disentanglement

Disentanglement is a method that addresses the fundamental structure of a primary problem by representing it as separate, unrelated parts, thereby solving a variety of tasks in a data-efficient manner. This approach aims to identify and separate the "transformative" attributes of the world to enhance the model's generalization and interpretability, and to strengthen the understanding and application of complex systems.