We start from an intuition that many complex visual data, e.g., videos and 3D scenes, are represented

First, we define distributionally equivalent and Max-Information model extraction attacks, and reduce them into a variational optimisation problem.

That is, we propose to formulate continual learning as a sequence modeling problem, allowing advanced sequence models to be utilized for continual learning.