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Where Does Trust Break Down? A Quantitative Trust Analysis of Deep Neural Networks via Trust Matrix and Conditional Trust Densities

Sep 30, 2020
Andrew Hryniowski, Xiao Yu Wang, Alexander Wong

* 5 pages 

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How Much Can We Really Trust You? Towards Simple, Interpretable Trust Quantification Metrics for Deep Neural Networks

Sep 20, 2020
Alexander Wong, Xiao Yu Wang, Andrew Hryniowski

* 13 pages 

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DeepLABNet: End-to-end Learning of Deep Radial Basis Networks with Fully Learnable Basis Functions

Nov 21, 2019
Andrew Hryniowski, Alexander Wong

* 10 pages 

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State of Compact Architecture Search For Deep Neural Networks

Oct 15, 2019
Mohammad Javad Shafiee, Andrew Hryniowski, Francis Li, Zhong Qiu Lin, Alexander Wong

* 6 pages 

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Seeing Convolution Through the Eyes of Finite Transformation Semigroup Theory: An Abstract Algebraic Interpretation of Convolutional Neural Networks

May 26, 2019
Andrew Hryniowski, Alexander Wong

* 9 pages 

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PolyNeuron: Automatic Neuron Discovery via Learned Polyharmonic Spline Activations

Nov 10, 2018
Andrew Hryniowski, Alexander Wong

* 5 pages 

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