Fuzzy Simplicial Networks: A Topology-Inspired Model to Improve Task Generalization in Few-shot Learning

Deep learning has shown great success in settings with massive amounts of data but has struggled when data is limited. Few-shot learning algorithms, which seek to address this limitation, are designed to generalize well to new tasks with limited data. Typically, models are evaluated on unseen classe...

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Hauptverfasser:	Kvinge, Henry, New, Zachary, Courts, Nico, Lee, Jung H, Phillips, Lauren A, Corley, Courtney D, Tuor, Aaron, Avila, Andrew, Hodas, Nathan O
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Computer Vision and Pattern Recognition Computer Science - Learning Mathematics - General Topology Statistics - Machine Learning
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