ProtoSimNet: Exploiting Prototype Similarity for Few-shot Learning

SSRN Electronic Journal

Authors 4

1. Kai He corresponding Aachen

   Leiden University

   Affiliation as printed

   Leiden University

   Leiden University, Master of Laws Advanced Studies in Public Intl Law

2. Nan Pu

   University of Trento

   Affiliation as printed

   University of Trento

   University of Trento, Via Giuseppe Verdi 26, Trento, 38152, Italy

3. Erwin M. Bakker Aachen

   Leiden University

   Affiliation as printed

   Leiden University

   Leiden University, Master of Laws Advanced Studies in Public Intl Law

4. Michael S. Lew Aachen

   Leiden University

   Affiliation as printed

   Leiden University

   Leiden University, Master of Laws Advanced Studies in Public Intl Law