Before revision:  The proposed EfficientTDNN contains three phases . First, supernet designconstructs a dynamic neural architecture that consists of sequential cells and enables network pruning. Second , progressive training optimizes randomly sampled subnets that inherit the weights of the supernet .
After revision:  The proposed EfficientTDNN contains three phases : supernet design , progressive training optimizes randomly sampled subnets that inherit the weights of the supernet .