A Maximum Log-Likelihood Method for Imbalanced Few-Shot Learning Tasks

Samuel Hess, Gregory Ditzler

Few-shot learning is a rapidly evolving area of research in machine learning where the goal is to classify unlabeled data with only one or "a few" labeled exemplary samples. Neural…