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2021-05-19 07:23:50 +00:00
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docs/CVPR-2019-GDAS.md
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# [Searching for A Robust Neural Architecture in Four GPU Hours](https://arxiv.org/abs/1910.04465)
<img align="right" src="https://d-x-y.github.com/resources/paper-icon/CVPR-2019-GDAS.png" width="300">
<img align="right" src="http://xuanyidong.com/resources/paper-icon/CVPR-2019-GDAS.png" width="300">
Searching for A Robust Neural Architecture in Four GPU Hours is accepted at CVPR 2019.
In this paper, we proposed a Gradient-based searching algorithm using Differentiable Architecture Sampling (GDAS).

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docs/ICCV-2019-SETN.md
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# [One-Shot Neural Architecture Search via Self-Evaluated Template Network](https://arxiv.org/abs/1910.05733)
<img align="right" src="https://d-x-y.github.com/resources/paper-icon/ICCV-2019-SETN.png" width="450">
<img align="right" src="http://xuanyidong.com/resources/paper-icon/ICCV-2019-SETN.png" width="450">
<strong>Highlight</strong>: we equip one-shot NAS with an architecture sampler and train network weights using uniformly sampling.