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NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning
When applied to image classification models, NeuroMask identifies the image parts that are most important to classifier results by applying a mask that hides/reveals different parts of the image, before feeding it back into the model.
Gradient-Based Interpretability Methods and Binarized Neural Networks
Binarized Neural Networks (BNNs) have the potential to revolutionize the way that deep learning is carried out in edge computing platforms.
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