ALEXANDRIA, Va., Nov. 3 -- United States Patent no. 12,783,904, issued on Nov. 3, was assigned to CARNEGIE MELLON UNIVERSITY (Pittsburgh).
"Fine-tuning strategy for few shot learning" was invented by Zhiqiang Shen (Pittsburgh), Zechun Liu (Pittsburgh) and Marios Savvides (Wexford, Pa.).
According to the abstract* released by the U.S. Patent & Trademark Office: "Disclosed herein is a method providing a flexible way to transfer knowledge from base to novel classes in a few shot learning scenario. The invention introduces a partial transfer paradigm for the few-shot classification task in which a model is first trained on the base classes. Then, instead of transferring the learned representation by freezing the whole backbone network, an eff...