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Lecture Notes in Computer Science
Recent breakthroughs in Neural Architectural Search (NAS) have achieved state-of-the-art performances in applications such as image classification and language modeling. However, these techniques typically ignore device-related objectives such as inference time, memory usage, and power consumption. Optimizing neural architecture for devicerelated objectives is immensely crucial for deploying deep networks on portable devices with limited computing resources. We propose DPP-Net: Device-awaredoi:10.1007/978-3-030-01252-6_32 fatcat:ff45jydddjbc3puknmo7r4qghy