Few-Shot Learning with Metric-Agnostic Conditional Embeddings

Nathan Hilliard, Lawrence Phillips, Scott Howland +3

Learning high quality class representations from few examples is a key problem in metric-learning approaches to few-shot learning. To accomplish this, we introduce a novel architec…