1 INTRODUCTION  

2 FEW-SHOT LEARNING VS. ACTIVE LEARNING  

3 APPROXIMATELY GENERALIZATION ANALYSIS  

4 A GEOMETRIC PERSPECTIVE  

5 OPTIMIZATION SOLVERS  

6 LEARNING ON SMALL DATA REPRESENTATION  

7 PARAMETER OPTIMIZATION WITH SMALL DATA: A META FASHION  

8 CHALLENGES  

9 CONCLUSION  