Angélique Loesch

Improving Few-Shot Learning through Multi-task Representation Learning Theory

"In this paper, we consider the framework of multi-task representation (MTR) learning where the goal is to use source tasks to learn a representation that reduces the sample complexity of solving a target task. We start by reviewing recent advances in MTR theory and show that they can provide novel…