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Manifold Adversarial Training
Manifold Adversarial Training (MAT) is a novel method to smooth the distributional manifold in the latent space. -
Noisy Scale
The dataset used in the paper is a synthetic 2D dataset generated from a Gaussian Mixture Model. -
GMM Clustering
The dataset used in the paper is a synthetic 2D dataset generated from a Gaussian Mixture Model.