Abstract: Asynchronous circuits with low power and robustness are revived in emerging applications such as the Internet of Things (IoT) and neuromorphic chips, thanks to clock-less and event-driven ...
Abstract: Data augmentation is an effective way to overcome the overfitting problem of deep learning models. However, most existing studies on data augmentation work on framelike data (e.g., images), ...
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