BigNAS: Scaling up Neural Architecture Search with Big Single-Stage Models

Author:

Yu Jiahui,Jin Pengchong,Liu Hanxiao,Bender Gabriel,Kindermans Pieter-Jan,Tan Mingxing,Huang Thomas,Song Xiaodan,Pang Ruoming,Le Quoc

Publisher

Springer International Publishing

Reference39 articles.

1. Bender, G., Kindermans, P.J., Zoph, B., Vasudevan, V., Le, Q.: Understanding and simplifying one-shot architecture search. In: International Conference on Machine Learning, pp. 549–558 (2018)

2. Berman, M., Pishchulin, L., Xu, N., Blaschko, M.B., Medioni, G.: Aows: adaptive and optimal network width search with latency constraints. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2020

3. Brock, A., Lim, T., Ritchie, J., Weston, N.: SMASH: one-shot model architecture search through hypernetworks. In: International Conference on Learning Representations (2018). https://openreview.net/forum?id=rydeCEhs-

4. Cai, H., Gan, C., Wang, T., Zhang, Z., Han, S.: Once-for-all: train one network and specialize it for efficient deployment. In: International Conference on Learning Representations (2020). https://openreview.net/forum?id=HylxE1HKwS

5. Cai, H., Zhu, L., Han, S.: ProxylessNAS: direct neural architecture search on target task and hardware. In: International Conference on Learning Representations (2019). https://openreview.net/forum?id=HylVB3AqYm

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