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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
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