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Defense against adversarial attacks on deep convolutional neural networks through nonlocal denoising
Despite substantial advances in network architecture performance, the susceptibility of adversarial attacks makes deep learning challenging to implement in safety-critical applications.
Transfer learning for cancer diagnosis in histopathological images
Transfer learning allows us to exploit knowledge gained from one task to assist in solving another but relevant task.
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