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OrigamiSet1.0: Two New Datasets for Origami Classification and Difficulty Estimation

Jan 14, 2021
Daniel Ma, Gerald Friedland, Mario Michael Krell

* In Proceedings of Origami Science Maths Education, 7OSME, Oxford UK (2018) 

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From Tinkering to Engineering: Measurements in Tensorflow Playground

Jan 11, 2021
Henrik Hoeiness, Axel Harstad, Gerald Friedland

* Peer-reviewed by and presented at ICPR 2020 
* 3 pages, 3 figures, ICPR 2020 

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DIME: An Online Tool for the Visual Comparison of Cross-Modal Retrieval Models

Oct 19, 2020
Tony Zhao, Jaeyoung Choi, Gerald Friedland


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Efficient Saliency Maps for Explainable AI

Nov 26, 2019
T. Nathan Mundhenk, Barry Y. Chen, Gerald Friedland

* In submission to ICLR 2020 

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One Bit Matters: Understanding Adversarial Examples as the Abuse of Redundancy

Oct 23, 2018
Jingkang Wang, Ruoxi Jia, Gerald Friedland, Bo Li, Costas Spanos


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A Capacity Scaling Law for Artificial Neural Networks

Sep 10, 2018
Gerald Friedland, Mario Krell

* 13 pages, 4 figures, 2 listings of source code 

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The Helmholtz Method: Using Perceptual Compression to Reduce Machine Learning Complexity

Jul 10, 2018
Gerald Friedland, Jingkang Wang, Ruoxi Jia, Bo Li


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The YLI-MED Corpus: Characteristics, Procedures, and Plans

Mar 13, 2015
Julia Bernd, Damian Borth, Benjamin Elizalde, Gerald Friedland, Heather Gallagher, Luke Gottlieb, Adam Janin, Sara Karabashlieva, Jocelyn Takahashi, Jennifer Won

* 47 pages; 3 figures; 25 tables. Also published as ICSI Technical Report TR-15-001 

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