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SNAS-Series

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.

Paper-arxiv

snas

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.

Paper-arxiv

dsnas

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.

Paper-arxiv

dsnas

Figure: Visualization for cost and gradient back-propagation within cell-based differentiable NAS.

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This repo contains the PyTorch implementation of the SNAS-Series papers

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