Deep Positron: A Deep Neural Network Using the Posit Number System Z Carmichael, HF Langroudi, C Khazanov, J Lillie, JL Gustafson, ... 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2019 | 125 | 2019 |
Performance-Efficiency Trade-Off of Low-Precision Numerical Formats in Deep Neural Networks Z Carmichael, HF Langroudi, C Khazanov, J Lillie, JL Gustafson, ... Proceedings of the Conference for Next Generation Arithmetic, 1-9, 2019 | 68 | 2019 |
SIRNet: Understanding Social Distancing Measures with Hybrid Neural Network Model for COVID-19 Infectious Spread N Soures, D Chambers, Z Carmichael, A Daram, DP Shah, K Clark, ... Proceedings of the International Joint Conference on Artificial Intelligence …, 2020 | 49 | 2020 |
PositNN Framework: Tapered Precision Deep Learning Inference for the Edge HF Langroudi, Z Carmichael, JL Gustafson, D Kudithipudi 2019 IEEE Space Computing Conference (SCC), 53-59, 2019 | 32 | 2019 |
Cheetah: Mixed Low-Precision Hardware & Software Co-Design Framework for DNNs on the Edge HF Langroudi, Z Carmichael, D Pastuch, D Kudithipudi arXiv preprint arXiv:1908.02386, 2019 | 30 | 2019 |
Deep Learning Training on the Edge with Low-Precision Posits HF Langroudi, Z Carmichael, D Kudithipudi arXiv preprint arXiv:1907.13216, 2019 | 20 | 2019 |
Adaptive Autonomy in Human-on-the-Loop Vision-Based Robotics Systems S Abraham, Z Carmichael, S Banerjee, R VidalMata, A Agrawal, ... 1st Workshop on AI Engineering – Software Engineering for AI (WAIN'21), 2021 | 19 | 2021 |
Mod-DeepESN: Modular Deep Echo State Network Z Carmichael, H Syed, S Burtner, D Kudithipudi Annual Conference on Cognitive Computational Neuroscience, 2018 | 19 | 2018 |
ALPS: Adaptive Quantization of Deep Neural Networks With GeneraLized PositS HF Langroudi, V Karia, Z Carmichael, A Zyarah, T Pandit, JL Gustafson, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 18 | 2021 |
Unfooling Perturbation-Based Post Hoc Explainers Z Carmichael, WJ Scheirer Proceedings of the AAAI Conference on Artificial Intelligence, 2023 | 13 | 2023 |
Learning Debuggable Models Through Multi-Objective Neural Architecture Search Z Carmichael, T Moon, SA Jacobs International Conference on Automated Machine Learning (AutoML) Workshop, 2023 | 11* | 2023 |
Motif mining: Finding and summarizing remixed image content W Theisen, DG Cedre, Z Carmichael, D Moreira, T Weninger, W Scheirer Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 10 | 2023 |
A Framework for Evaluating Post Hoc Feature-Additive Explainers Z Carmichael, WJ Scheirer arXiv preprint arXiv:2106.08376, 2021 | 8* | 2021 |
TERSE: Tiny Encryptions and Really Speedy Execution for Post-Quantum Private Stream Aggregation J Takeshita, Z Carmichael, R Karl, T Jung Proceedings of the EAI International Conference on Security and Privacy in …, 2022 | 7 | 2022 |
Analysis of Wide and Deep Echo State Networks for Multiscale Spatiotemporal Time Series Forecasting Z Carmichael, H Syed, D Kudithipudi Proceedings of the 7th Annual Neuro-inspired Computational Elements Workshop …, 2019 | 7 | 2019 |
Pixel-Grounded Prototypical Part Networks Z Carmichael, S Lohit, A Cherian, MJ Jones, WJ Scheirer Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024 | 6 | 2024 |
Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness S Sarkar, AR Babu, S Mousavi, Z Carmichael, V Gundecha, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024 | 5 | 2024 |
How Well Do Feature-Additive Explainers Explain Feature-Additive Predictors? Z Carmichael, WJ Scheirer NeurIPS Workshop XAI in Action: Past, Present, and Future Applications, 2023 | 2 | 2023 |
HomOpt: A Homotopy-Based Hyperparameter Optimization Method SJ Abraham, KDG Maduranga, J Kinnison, Z Carmichael, JD Hauenstein, ... | 1 | 2023 |
PositNN: Tapered Precision Deep Learning Inference for the Edge HF Langroudi, Z Carmichael, JL Gustafson, D Kudithipudi | 1 | 2018 |