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

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

23 September 2020
Henry Kvinge
Zach New
Nico Courts
J. H. Lee
Lauren A. Phillips
Court D. Corley
Aaron Tuor
Andrew Avila
Nathan Oken Hodas
ArXivPDFHTML

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

2 / 2 papers shown
Title
Advances in MetaDL: AAAI 2021 challenge and workshop
Advances in MetaDL: AAAI 2021 challenge and workshop
Adrian El Baz
Isabelle M Guyon
Zhengying Liu
J. V. Rijn
Sébastien Treguer
Joaquin Vanschoren
20
7
0
01 Feb 2022
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
383
11,700
0
09 Mar 2017
1