Neural Architecture Search (NAS) aims to automatically excavate the opti...
Training large deep neural network models is highly challenging due to t...
Co-exploration of an optimal neural architecture and its hardware accele...
This paper analyses the design choices of face detection architecture th...
Model quantization is considered as a promising method to greatly reduce...
Non-linear operations such as GELU, Layer normalization, and Softmax are...
To cope with the ever-increasing computational demand of the DNN executi...
This paper proposes network recasting as a general method for network
ar...