5 datasets found

Tags: Image Classification

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  • Generative Adversarial Nets

    Generative adversarial nets (GANs) are a class of deep learning models that consist of two neural networks: a generator and a discriminator.

  • STL-10 dataset

    The dataset used in this paper is a collection of images from the STL-10 dataset, preprocessed and used for training and evaluation of the proposed diffusion spectral entropy...

  • Mixup: Beyond empirical risk minimization

    The dataset used in the paper is not explicitly described, but it is mentioned that the authors used CIFAR-10, CIFAR-100, ImageNet, CUB-200-2011, and Stanford Dogs datasets.

  • SelectAugment

    The dataset used in the paper is not explicitly described, but it is mentioned that the authors used CIFAR-10, CIFAR-100, ImageNet, CUB-200-2011, and Stanford Dogs datasets.

  • Synthetic Data

    The dataset used in the paper is a synthetic dataset for off-policy contextual bandits, with contexts x ∈ X, a finite set of actions A, and bounded real rewards r ∈ A → [0, 1].