Few-shot learning

TaskNorm: Rethinking Batch Normalization for Meta-Learning

Deriving a form of batch normalization tailored towards the meta-learning models.

Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes

Powerful meta-learning system based on the neural process framework (Spotlight)

Meta Learning Probabilistic Inference for Prediction

We introduce ML-PIP, a general probabilistic framework for meta-learning

VERSA: Versatile and Efficient Few-shot Learning

Introducing VERSA, an efficient and flexible few-shot learner based on amortized inference.