Few-Shot Learning with Per-Sample Rich Supervision

Roman Visotsky, Yuval Atzmon, Gal Chechik

Learning with few samples is a major challenge for parameter-rich models like deep networks. In contrast, people learn complex new concepts even from very few examples, suggesting…