Search Results - Carmichael, Zachariah

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  1. 1
    Deep Positron: A Deep Neural Network Using the Posit Number System

    Deep Positron: A Deep Neural Network Using the Posit Number System by Carmichael, Zachariah, Langroudi, Hamed F., Khazanov, Char, Lillie, Jeffrey, Gustafson, John L., Kudithipudi, Dhireesha

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  2. 2
    Pixel-Grounded Prototypical Part Networks

    Pixel-Grounded Prototypical Part Networks by Carmichael, Zachariah, Lohit, Suhas, Cherian, Anoop, Jones, Michael J., Scheirer, Walter J.

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  3. 3
    Motif Mining: Finding and Summarizing Remixed Image Content

    Motif Mining: Finding and Summarizing Remixed Image Content by Theisen, William, Cedre, Daniel Gonzalez, Carmichael, Zachariah, Moreira, Daniel, Weninger, Tim, Scheirer, Walter

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  4. 4
    CFD Surrogates for Data Center Sustainability Using 3D U-Net Convolutional Neural Network

    CFD Surrogates for Data Center Sustainability Using 3D U-Net Convolutional Neural Network by Sarkar, Soumyendu, Guillen-Perez, Antonio, Carmichael, Zachariah, Gundecha, Vineet, Naug, Avisek, Gutierrez, Ricardo Luna, Babu, Ashwin Ramesh, Bash, Cullen

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  5. 5
    Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness

    Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness by Sarkar, Soumyendu, Babu, Ashwin Ramesh, Mousavi, Sajad, Carmichael, Zachariah, Gundecha, Vineet, Ghorbanpour, Sahand, Gutierrez, Ricardo Luna, Guillen, Antonio, Naug, Avisek

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  6. 6
    Unfooling Perturbation-Based Post Hoc Explainers

    Unfooling Perturbation-Based Post Hoc Explainers by Carmichael, Zachariah, Scheirer, Walter J.

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  7. 7
    How Well Do Feature-Additive Explainers Explain Feature-Additive Predictors?

    How Well Do Feature-Additive Explainers Explain Feature-Additive Predictors? by Carmichael, Zachariah, Scheirer, Walter J

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  8. 8
    Unfooling Perturbation-Based Post Hoc Explainers

    Unfooling Perturbation-Based Post Hoc Explainers by Carmichael, Zachariah, Scheirer, Walter J

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  9. 9
    A Framework for Evaluating Post Hoc Feature-Additive Explainers

    A Framework for Evaluating Post Hoc Feature-Additive Explainers by Carmichael, Zachariah, Scheirer, Walter J

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  10. 10
    Learning Interpretable Models Through Multi-Objective Neural Architecture Search

    Learning Interpretable Models Through Multi-Objective Neural Architecture Search by Carmichael, Zachariah, Moon, Tim, Sam Ade Jacobs

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  11. 11
    This Probably Looks Exactly Like That: An Invertible Prototypical Network

    This Probably Looks Exactly Like That: An Invertible Prototypical Network by Carmichael, Zachariah, Redgrave, Timothy, Daniel Gonzalez Cedre, Scheirer, Walter J

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  12. 12
    Alps: Adaptive Quantization of Deep Neural Networks with GeneraLized PositS

    Alps: Adaptive Quantization of Deep Neural Networks with GeneraLized PositS by Langroudi, Hamed F., Karia, Vedant, Carmichael, Zachariah, Zyarah, Abdullah, Pandit, Tej, Gustafson, John L., Kudithipudi, Dhireesha

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  13. 13
    Pixel-Grounded Prototypical Part Networks

    Pixel-Grounded Prototypical Part Networks by Carmichael, Zachariah, Lohit, Suhas, Cherian, Anoop, Jones, Michael, Scheirer, Walter

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  14. 14
    Analysis of Wide and Deep Echo State Networks for Multiscale Spatiotemporal Time Series Forecasting

    Analysis of Wide and Deep Echo State Networks for Multiscale Spatiotemporal Time Series Forecasting by Carmichael, Zachariah, Humza Syed, Kudithipudi, Dhireesha

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  15. 15
    Deep Learning Training on the Edge with Low-Precision Posits

    Deep Learning Training on the Edge with Low-Precision Posits by Langroudi, Hamed F, Carmichael, Zachariah, Kudithipudi, Dhireesha

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  16. 16
    Autonomous navigation using localization priors, sensor fusion, and terrain classification

    Autonomous navigation using localization priors, sensor fusion, and terrain classification by Carmichael, Zachariah, Glasstone, Benjamin, Cwitkowitz, Frank, Alexopoulos, Kenneth, Relyea, Robert, Ptucha, Raymond

    Published in Electronic Imaging
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  17. 17
    Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness

    Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness by Sarkar, Soumyendu, Ashwin Ramesh Babu, Mousavi, Sajad, Carmichael, Zachariah, Gundecha, Vineet, Ghorbanpour, Sahand, Luna, Ricardo, Gutierrez Antonio Guillen, Naug, Avisek

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  18. 18
    HomOpt: A Homotopy-Based Hyperparameter Optimization Method

    HomOpt: A Homotopy-Based Hyperparameter Optimization Method by Abraham, Sophia J, Kehelwala D G Maduranga, Kinnison, Jeffery, Carmichael, Zachariah, Hauenstein, Jonathan D, Scheirer, Walter J

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  19. 19
    Motif Mining: Finding and Summarizing Remixed Image Content

    Motif Mining: Finding and Summarizing Remixed Image Content by Theisen, William, Daniel Gonzalez Cedre, Carmichael, Zachariah, Moreira, Daniel, Weninger, Tim, Scheirer, Walter

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  20. 20
    Cheetah: Mixed Low-Precision Hardware & Software Co-Design Framework for DNNs on the Edge

    Cheetah: Mixed Low-Precision Hardware & Software Co-Design Framework for DNNs on the Edge by Langroudi, Hamed F, Carmichael, Zachariah, Pastuch, David, Kudithipudi, Dhireesha

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