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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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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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Few-Shot Learning with Metric-Agnostic Conditional Embeddings


Feb 12, 2018
Nathan Hilliard, Lawrence Phillips, Scott Howland, Artëm Yankov, Courtney D. Corley, Nathan O. Hodas


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Dynamic Input Structure and Network Assembly for Few-Shot Learning


Aug 22, 2017
Nathan Hilliard, Nathan O. Hodas, Courtney D. Corley


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