no code implementations • 31 Oct 2020 • Shuman Peng, Weilian Song, Martin Ester
The goal of few-shot classification is to learn a model that can classify novel classes using only a few training examples.
no code implementations • 25 Sep 2019 • Hossein Sharifi-Noghabi, Shuman Peng, Olga Zolotareva, Colin C. Collins, Martin Ester
To the best of our knowledge, AITL is the first adversarial inductive transfer learning method to address both input and output discrepancies.