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Adaptive Transfer Learning: a simple but effective transfer learning

Nov 22, 2021
Jung H Lee, Henry J Kvinge, Scott Howland, Zachary New, John Buckheit, Lauren A. Phillips, Elliott Skomski, Jessica Hibler, Courtney D. Corley, Nathan O. Hodas

* 10 pages, 7 figures 

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One Representation to Rule Them All: Identifying Out-of-Support Examples in Few-shot Learning with Generic Representations

Jun 02, 2021
Henry Kvinge, Scott Howland, Nico Courts, Lauren A. Phillips, John Buckheit, Zachary New, Elliott Skomski, Jung H. Lee, Sandeep Tiwari, Jessica Hibler, Courtney D. Corley, Nathan O. Hodas

* 15 pages 

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Prototypical Region Proposal Networks for Few-Shot Localization and Classification

Apr 08, 2021
Elliott Skomski, Aaron Tuor, Andrew Avila, Lauren Phillips, Zachary New, Henry Kvinge, Courtney D. Corley, Nathan Hodas

* 9 pages, 1 figure. Submitted to 4th Workshop on Meta-Learning at NeurIPS 2020 

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Argumentative Topology: Finding Loop(holes) in Logic

Nov 17, 2020
Sarah Tymochko, Zachary New, Lucius Bynum, Emilie Purvine, Timothy Doster, Julien Chaput, Tegan Emerson

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

Sep 23, 2020
Henry Kvinge, Zachary New, Nico Courts, Jung H. Lee, Lauren A. Phillips, Courtney D. Corley, Aaron Tuor, Andrew Avila, Nathan O. Hodas

* 17 pages 

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