-
FashionMNIST and CIFAR-10
The dataset used in the paper is FashionMNIST and CIFAR-10, which are commonly used datasets for image classification tasks. -
Negative Correlation Ensemble for Adversarial Examples Defense
The FashionMNIST and CIFAR-10 datasets are used to evaluate the performance of the Negative Correlation Ensemble (NCEn) defense strategy. -
FashionMNIST, CelebA, Cat vs Dog, and Imagenet
The dataset used in this paper is FashionMNIST, CelebA, Cat vs Dog, and Imagenet. -
Hierarchical Exponential-family Energy-based (HEE) model
The HEE model uses 2D synthetic datasets and FashionMNIST to validate its capabilities. -
CIFAR-10, CIFAR-100, FashionMNIST, and SVHN datasets
The dataset used in the paper is a benchmark dataset for multi-class image classification: CIFAR-10, CIFAR-100, FashionMNIST, and SVHN. -
CIFAR-10, CIFAR-100, SVHN, MNIST, KMNIST, FashionMNIST
CIFAR-10, CIFAR-100, SVHN, MNIST, KMNIST, FashionMNIST -
MNIST and FashionMNIST
The MNIST and FashionMNIST datasets are used to test the performance of the proposed generative autoencoders. -
FashionMNIST dataset
The dataset used in this paper is the FashionMNIST dataset, which consists of 60,000 images of clothing items from 10 different classes. -
CULT: Continual Unsupervised Learning with Typicality-Based Environment Detec...
FashionMNIST and MNIST datasets are used for continual unsupervised learning with variational autoencoders and generative replay. -
MNIST, FashionMNIST, and KuzushijiMNIST datasets
The dataset contains 30 multi-instance classification datasets generated from the MNIST, FashionMNIST, and KuzushijiMNIST datasets. -
MNIST and FashionMNIST Datasets
The MNIST and FashionMNIST datasets are used for image classification tasks.
