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https://arxiv.org/abs/1909.11862v2 Convolutional Neural Networks with Dynamic Regularization Regularization is commonly used for alleviating overfitting in machine learning. For convolutional neural networks (CNNs), regularization methods, such as DropBlock and Shake-Shake, have illustrated the improvement in the generalization performance. Howeve arxiv.org abstract 본 논문은 CNN을 위한 동적 정규화(Regulari..