2 datasets found

The paper proposes a Class-Prototype conditional Diffusion Model (CPDM) for continual learning with generative replay. The model uses a diffusion-based generator and a...

FashionMNIST and MNIST datasets are used for continual unsupervised learning with variational autoencoders and generative replay.