Abstract:With the rapid advancements of deep learning in the past decade, it can be foreseen that deep learning will be continuously deployed in more and more safety-critical applications such as autonomous driving and robotics. In this context, reliability turns out to be critical to the deployment of deep learning in these applications and gradually becomes a firstclass citizen among the major design metrics like performance and energy efficiency. Nevertheless, the back-box deep learning models combined with the dive… Show more
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