With limited labeled samples, few-shot classification poses a challenge to standard deep models and has attracted a surge of concern. Metric learning based approaches stand out for the minimalist and ...

This article provides a zeroth-order optimization framework for nonsmooth and possibly nonconvex cost functions with matrix parameters that are real and symmetric. We provide complexity bounds on the ...