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

researchr

You are not signed in
Sign in
Sign up

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]

This author has not been identified. Look up 'Henry Kvinge' in GoogleThis author has not been identified. Look up 'Zachary New' in GoogleThis author has not been identified. Look up 'Nico Courts' in GoogleThis author has not been identified. Look up 'Jung H. Lee' in GoogleThis author has not been identified. Look up 'Lauren A. Phillips' in GoogleThis author has not been identified. Look up 'Courtney D. Corley' in GoogleThis author has not been identified. Look up 'Aaron Tuor' in GoogleThis author has not been identified. Look up 'Andrew Avila' in GoogleThis author has not been identified. Look up 'Nathan O. Hodas' in Google

runs on WebDSL