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An Ultra-Low-Power Image Signal Processor for Hierarchical Image Recognition With Deep Neural Networks

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An Ultra-Low-Power Image Signal Processor for Hierarchical Image Recognition With Deep Neural Networks

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BLACK-BOX ATTACKS ON IMAGE ACTIVITY PREDICTION AND ITS NATURAL LANGUAGE EXPLANATIONS

Fixing the problems of deep neural networks will require better training data and learning algorithms

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SafeAMC: Adversarial training for robust modulation classification models

BLACK-BOX ATTACKS ON IMAGE ACTIVITY PREDICTION AND ITS NATURAL LANGUAGE EXPLANATIONS

Fixing the problems of deep neural networks will require better training data and learning algorithms

Regularization of polynomial networks for image recognition

Regularization of polynomial networks for image recognition

Impulsive noise removal via a blind CNN enhanced by an iterative post-processing

Stop Wasting my FLOPS: Improving the Efficiency of Deep Learning Models