This contains the PyTorch implementation of the SNAS-Series papers, including
SNAS: Stochastic Neural Architecture Search, ICLR 2019.
By Sirui Xie, Hehui Zheng, Chunxiao Liu, Liang Lin.
Figure: Visualization for forward pass and gradient back-propagation within SNAS.
DSNAS: Direct Neural Architecture Search without Parameter Retraining, CVPR 2020.
By Shoukang Hu*, Sirui Xie*, Hehui Zheng, Chunxiao Liu, Jianping Shi, Xunying Liu, Dahua Lin.
Figure: Visualization for forward pass and gradient back-propagation within DSNAS.
ANALYSIS: Understanding the wiring evolution in differentiable neural architecture search, AISTATS 2021.
By Sirui Xie*, Shoukang Hu*, Xinjiang Wang, Chunxiao Liu, Jianping Shi, Xunying Liu, Dahua Lin.
Figure: Visualization for cost and gradient back-propagation within cell-based differentiable NAS.