Author:
Xu Ju,Li Mengzhang,Zhu Zhanxing
Publisher
Springer International Publishing
Reference18 articles.
1. Akimoto, Y., Shirakawa, S., Yoshinari, N., Uchida, K., Saito, S., Nishida, K.: Adaptive stochastic natural gradient method for one-shot neural architecture search. arXiv preprint arXiv:1905.08537 (2019)
2. Alom, M.Z., Hasan, M., Yakopcic, C., Taha, T.M., Asari, V.K.: Recurrent residual convolutional neural network based on u-net (r2u-net) for medical image segmentation. arXiv preprint arXiv:1802.06955 (2018)
3. Amari, S.I.: Natural gradient works efficiently in learning. Neural Comput. 10(2), 251–276 (1998)
4. Lecture Notes in Computer Science;W Bae,2019
5. Cubuk, E.D., Zoph, B., Mane, D., Vasudevan, V., Le, Q.V.: Autoaugment: learning augmentation strategies from data. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 113–123 (2019)
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