Neural Architecture Search at CVPR 2019

英文原博：

https://drsleep.github.io/NAS-at-CVPR-2019/   

中文翻译：

https://mp.weixin.qq.com/s/c7S_hV_8iRhR4ZoFxQYGYQ

1.Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation

2.Searching for A Robust Neural Architecture in Four GPU Hours

3.MnasNet: Platform-Aware Neural Architecture Search for Mobile

4.RENAS: Reinforced Evolutionary Neural Architecture Search

5.NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection

6.IRLAS: Inverse Reinforcement Learning for Architecture Search

7.Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells

8.FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search

9.Customizable Architecture Search for Semantic Segmentation

10.MFAS: Multimodal Fusion Architecture Search

11.A Neurobiological Evaluation Metric for Neural Network Model Search