Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search

Author:

Chu XiangxiangORCID,Zhou TianbaoORCID,Zhang BoORCID,Li JixiangORCID

Publisher

Springer International Publishing

Reference36 articles.

1. Bi, K., Hu, C., Xie, L., Chen, X., Wei, L., Tian, Q.: Stabilizing DARTS with amended gradient estimation on architectural parameters. arXiv preprint arXiv:1910.11831 (2019)

2. Brock, A., Lim, T., Ritchie, J.M., Weston, N.: SMASH: one-shot model architecture search through hypernetworks. In: International Conference on Learning Representations (2018)

3. Cai, H., Zhu, L., Han, S.: ProxylessNAS: direct neural architecture search on target task and hardware. In: International Conference on Learning Representations (2019)

4. Chen, X., Xie, L., Wu, J., Tian, Q.: Progressive differentiable architecture search: bridging the depth gap between search and evaluation. In: International Conference on Computer Vision (2019)

5. Chu, X., Zhang, B., Li, Q., Xu, R.: SCARLET-NAS: bridging the gap between scalability and fairness in neural architecture search. arXiv preprint arXiv:1908.06022 (2019)

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