85 datasets found

The y-CMNIST dataset adds a dependency between environment e and label y.

The d-CMNIST dataset adds a dependency between environment e and digit d.

The upper half of the MNIST images and the lower half of the MNIST images

The MNIST images and their mirrored images

Federated cINN Clustering Algorithm (FCCA) uses MNIST, FMNIST, Cifar10, Cifar100 and Synthetic datasets for experiments.

The Color MNIST dataset is used for visual concepts from the Color MNIST dataset of Seo et al. (2017).

The MNIST-USPS dataset is a dataset of handwritten digits from the MNIST dataset and the USPS dataset.

The MNIST, SVHN, and CelebA datasets are used for conditional density estimation tasks.

The proposed DJSCC scheme uses CIFAR-10 and MNIST datasets for image semantic transmission.

The MNIST dataset is a large dataset of handwritten digits, and the MIMIC-CXR-JPG dataset is a large dataset of chest x-ray images.

The MNIST-Scale and FMNIST-Scale datasets are used to evaluate the performance of the proposed scale-steerable CNN framework.

The MNIST dataset is a large collection of handwritten digit images.

The MNIST-Superpixel dataset is a collection of images with superpixels, where each superpixel is a region of similar color.

The MNIST environment does not elicit any actions from an agent. Instead, the prediction network simply needs to learn one step mappings between pairs of MNIST handwritten digits.

The MNIST data set is a dataset used for testing the performance of the DisDF.

MultiMNIST dataset, a multi-task learning version of the MNIST dataset.

The 3s vs 7s MNIST problem is a classic dataset in machine learning. It consists of 28x28 grayscale images of handwritten digits, with 3s and 7s in the images.

The dataset used in the paper is MNIST-4.

The dataset used in the paper is MNIST-0.

The dataset used in the paper is AutoML-3, OnlineNewsPop, MNIST-0, MNIST-4, and Zillow.