9 citations · 15 across the 8 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
eess.AS2020★ 4 cited
A Study of Few-Shot Audio Classification
Piper Wolters, Chris Careaga, Brian Hutchinson +1
Advances in deep learning have resulted in state-of-the-art performance for many audio classification tasks but, unlike humans, these systems traditionally require large amounts of…
cs.LG2020★ 1 cited
Fuzzy Simplicial Networks: A Topology-Inspired Model to Improve Task Generalization in Few-shot Learning
Henry Kvinge, Zachary New, Nico Courts +6
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 limi…