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08/07/2023
HomOpt: A Homotopy-Based Hyperparameter Optimization Method
Machine learning has achieved remarkable success over the past couple of...
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05/29/2022
Unfooling Perturbation-Based Post Hoc Explainers
Monumental advancements in artificial intelligence (AI) have lured the i...
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03/16/2022
Motif Mining: Finding and Summarizing Remixed Image Content
On the internet, images are no longer static; they have become dynamic c...
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12/16/2021
Learning Interpretable Models Through Multi-Objective Neural Architecture Search
Monumental advances in deep learning have led to unprecedented achieveme...
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06/15/2021
On the Objective Evaluation of Post Hoc Explainers
Many applications of data-driven models demand transparency of decisions...
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03/28/2021
Adaptive Autonomy in Human-on-the-Loop Vision-Based Robotics Systems
Computer vision approaches are widely used by autonomous robotic systems...
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08/06/2019
Cheetah: Mixed Low-Precision Hardware Software Co-Design Framework for DNNs on the Edge
Low-precision DNNs have been extensively explored in order to reduce the...
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07/30/2019
Deep Learning Training on the Edge with Low-Precision Posits
Recently, the posit numerical format has shown promise for DNN data repr...
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07/01/2019
Analysis of Wide and Deep Echo State Networks for Multiscale Spatiotemporal Time Series Forecasting
Echo state networks are computationally lightweight reservoir models ins...
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03/25/2019
Performance-Efficiency Trade-off of Low-Precision Numerical Formats in Deep Neural Networks
Deep neural networks (DNNs) have been demonstrated as effective prognost...
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12/05/2018
Deep Positron: A Deep Neural Network Using the Posit Number System
The recent surge of interest in Deep Neural Networks (DNNs) has led to i...
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08/01/2018