Author:
Liu Dianqi,Bai Liang,Yu Tianyuan
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software
Reference45 articles.
1. Snell J, Swersky K, Zemel R (2017) Prototypical networks for few-shot learning. Advances in neural information processing systems 30
2. Vinyals O, Blundell C, Lillicrap T, Wierstra D et al (2016) Matching networks for one shot learning. In: Advances in neural information processing systems, vol 29
3. Gidaris S, Komodakis N (2019) Generating classification weights with GNN denoising autoencoders for few-shot learning. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp 21–30
4. Sung F, Yang Y, Zhang L, Xiang T, Torr PH, Hospedales TM (2018) Learning to compare: relation network for few-shot learning. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 1199–1208
5. Ye H-J, Hu H, Zhan D-C, Sha F (2020) Few-shot learning via embedding adaptation with set-to-set functions. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp 8808–8817
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