In class-incremental learning, the objective is to learn a number of classes sequentially without having access whole training data. However, due problem known as catastrophic forgetting, neural networks suffer substantial performance drop in such settings. The often approached by experience replay, method that stores limited samples be replayed future steps reduce forgetting learned classes. W...