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Class-Prototype Conditional Diffusion Model for Continual Learning with Gener...
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... -
Split CIFAR
The dataset used in this paper for Continual Learning, Catastrophic Forgetting and PCA-OGD. -
Permuted MNIST
The Permuted MNIST dataset is a variation of MNIST where new tasks of comparable difficulty to the original MNIST classification task are created by permuting the pixels of... -
Split MNIST
The dataset used in this paper for Continual Learning, Catastrophic Forgetting and PCA-OGD. -
Rotated MNIST
The Rotated MNIST dataset is a subset of the MNIST dataset with images of handwritten digits rotated by 90 degrees.
