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 i...

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Hauptverfasser:	Bouniot, Quentin, Redko, Ievgen, Audigier, Romaric, Loesch, Angélique, Habrard, Amaury
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Computer Vision and Pattern Recognition Computer Science - Learning Statistics - Machine Learning
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