Henry Kvinge, Zachary New, Nico Courts, Jung H. Lee, Lauren A. Phillips, Courtney D. Corley, Aaron Tuor, Andrew Avila, Nathan O. Hodas. Fuzzy Simplicial Networks: A Topology-Inspired Model to Improve Task Generalization in Few-shot Learning. In Isabelle Guyon, Jan N. van Rijn, Sébastien Treguer, Joaquin Vanschoren, editors, AAAI Workshop on Meta-Learning and MetaDL Challenge, MetaDL@AAAI 2021, virtual, February 9, 2021. Volume 140 of Proceedings of Machine Learning Research, pages 77-89, PMLR, 2021. [doi]
@inproceedings{KvingeNCLPCTAH21,
title = {Fuzzy Simplicial Networks: A Topology-Inspired Model to Improve Task Generalization in Few-shot Learning},
author = {Henry Kvinge and Zachary New and Nico Courts and Jung H. Lee and Lauren A. Phillips and Courtney D. Corley and Aaron Tuor and Andrew Avila and Nathan O. Hodas},
year = {2021},
url = {https://proceedings.mlr.press/v140/kvinge21a.html},
researchr = {https://researchr.org/publication/KvingeNCLPCTAH21},
cites = {0},
citedby = {0},
pages = {77-89},
booktitle = {AAAI Workshop on Meta-Learning and MetaDL Challenge, MetaDL@AAAI 2021, virtual, February 9, 2021},
editor = {Isabelle Guyon and Jan N. van Rijn and Sébastien Treguer and Joaquin Vanschoren},
volume = {140},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}