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Gradient-based Data Augmentation for Semi-Supervised Learning
It has been proved that the diversity of data used in CR is extremely important to obtain a model with high discrimination performance by CR.
ROI Regularization for Semi-supervised and Supervised Learning
ROIreg focuses on the maximum probability of a posterior probability distribution g(x) obtained when inputting an unlabeled data sample x into a convolutional neural network (CNN).
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