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MixPath: A Unified Approach for One-shot Neural Architecture Search [article]

Xiangxiang Chu, Xudong Li, Shun Lu, Bo Zhang, Jixiang Li
2020 arXiv   pre-print
However, current neural architecture search approaches are mainly limited to stacked single-path search space. How can the one-shot doctrine search for multi-path models remains unresolved.  ...  Kendall Tau 0.597 tested on NAS-Bench-101). We call our unified multi-path one-shot approach as MixPath, which generates a series of models that achieve state-of-the-art results on ImageNet.  ...  Conclusion In this paper, we propose a unified approach for one-shot neural architecture search, which bridges the gap between one-shot methodology and multi-path search space.  ... 
arXiv:2001.05887v3 fatcat:33juwz5vxjcshfuyk5zmt2dbhy

Cyclic Differentiable Architecture Search [article]

Hongyuan Yu, Houwen Peng, Yan Huang, Jianlong Fu, Hao Du, Liang Wang, Haibin Ling
2022 arXiv   pre-print
Differentiable ARchiTecture Search, i.e., DARTS, has drawn great attention in neural architecture search.  ...  It tries to find the optimal architecture in a shallow search network and then measures its performance in a deep evaluation network.  ...  One is that our approach integrates the search and evaluation networks into a unified architecture.  ... 
arXiv:2006.10724v4 fatcat:vbq6g2arfndxlmyceqoqfg22qi