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CIFAR-10, CIFAR-100, and MNIST
The dataset used in the paper is a benchmark dataset for diffusion models, specifically denoising diffusion probabilistic models (DDPM). The dataset consists of images from... -
MNIST and Fashion MNIST datasets
The MNIST dataset is a large dataset of handwritten digits, and the Fashion MNIST dataset is a similar dataset but with different styles. -
CIFAR10 and MNIST datasets
The CIFAR10 and MNIST datasets are used for image classification tasks. -
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. -
MNIST Database
The MNIST database of handwritten digits is a popular benchmark data set for classification algorithms. -
MNIST, CIFAR10, CIFAR100, DVS-Gesture
The dataset used in this paper is a spiking neural network dataset. -
MNIST, CIFAR-10, SVHN Datasets
The Modified National Institute of Standards and Technology database (MNIST), Canadian Institute For Advanced Research (CIFAR) and Street View House Numbers (SVHN) datasets are... -
MNIST and FashionMNIST Datasets
The MNIST and FashionMNIST datasets are used for image classification tasks. -
CycleAdvGAN: integration of adversarial attack and defense
The MNIST and CIFAR10 datasets are used to evaluate the Cycle-Consistent Adversarial GAN (CycleAdvGAN) for image classification. -
MNIST Dataset
The MNIST dataset (Lecun et al., 1998), which consists of 60,000 gray-scale images of handwritten digits. Each image has an accompanying label in {0, 1,..., 9}, and is stored as...