Accelerating Multi-Objective Neural Architecture Search by Random-Weight Evaluation

Shengran Hu, Ran Cheng, Cheng He +3

For the goal of automated design of high-performance deep convolutional neural networks (CNNs), Neural Architecture Search (NAS) methodology is becoming increasingly important for…