A collection of Deep Meta Learning algorithms
- Learning to learn by gradient descent by gradient descent [1]
- Learning to learn without gradient descent by gradient descent
- Neural architecture search with reinforcement learning
- Learning to reinforcement learn
- Optimization as a model for few-shot learning
- Fast reinforcement learning via slow reinforcement learning
- PathNet