Few-Shot Learning with Metric-Agnostic Conditional Embeddings

no code implementations • 12 Feb 2018 • Nathan Hilliard, Lawrence Phillips, Scott Howland, Artëm Yankov, Courtney D. Corley, Nathan O. Hodas

Learning high quality class representations from few examples is a key problem in metric-learning approaches to few-shot learning.

Few-Shot Learning General Classification +1