AN EXPLORATION OF CONSISTENCY LEARNING WITH DATA AUGMENTATION

An Exploration of Consistency Learning with Data Augmentation

Deep Learning has achieved remarkable success with Replacement Windows Supervised Learning.Nearly all of these successes require very large manually annotated datasets.Data augmentation has enabled Supervised Learning with less labeled data, while avoiding the pitfalls of overfitting.However, Supervised Learning still fails to be Robust, making dif

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