[Relation Networks] Learning to Compare: Relation Network for Few-Shot Learning
by Snell, Jake, et al.
[Prototypical Networks] Prototypical networks for few-shot learning
by Koch, Gregory, et al.
[Siamese Networks] Siamese neural networks for one-shot image recognition
by Santoro, Adam, et al.
[MANN] Meta-learning with memory-augmented neural networks
by Mishra, Nikhil, et al.
[SNAIL] A simple neural attentive meta-learner
by Finn, Chelsea, et al.
[MAML] Model-agnostic meta-learning for fast adaptation of deep networks
by Li, Zhenguo, et al.
[MetaSGD] Meta-sgd: Learning to learn quickly for few-shot learning
by Nichol, Alex, et al.
[Reptile] On first-order meta-learning algorithms