1. Vinyals O, Blundell C, Lillicrap T, Kavukcuoglu K, Wierstra D. Matching networks for one shot learning. In: Proceedings of the 30th International Conference on Neural Information Processing Systems. 2016, 3637–3645
2. Ravi S, Larochelle H. Optimization as a model for few-shot learning. In: Proceedings of the International Conference on Learning Representations. 2017, 1–11
3. Snell J, Swersky K, Zemel R S. Prototypical networks for few-shot learning. In: Proceedings of the 31st International Conference on Neural Information Processing Systems. 2017, 4080–4090
4. Sung F, Yang Y, Zhang L, Xiang T, Torr P H S, Hospedales T M. Learning to compare: relation network for few-shot learning. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2018, 1199–1208
5. Finn C, Abbeel P, Levine S. Model-agnostic meta-learning for fast adaptation of deep networks. In: Proceedings of the 34th International Conference on Machine Learning. 2017, 1126–1135