Meta-learning with differentiable closed-form solvers

Luca Bertinetto, João F. Henriques, Philip H. S. Torr, Andrea Vedaldi

Abstract: We propose a meta-learning approach for few-shot classification that achieves strong performance at high-speed by back-propagating through the solution of fast solvers, such as ridge regression or logistic regression.