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Beatrice Bussolino

RoHNAS: A Neural Architecture Search Framework with Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks

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Oct 11, 2022
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Going Further With Winograd Convolutions: Tap-Wise Quantization for Efficient Inference on 4x4 Tile

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Sep 26, 2022
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Enabling Capsule Networks at the Edge through Approximate Softmax and Squash Operations

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Jun 21, 2022
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Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead

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Dec 21, 2020
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NASCaps: A Framework for Neural Architecture Search to Optimize the Accuracy and Hardware Efficiency of Convolutional Capsule Networks

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Aug 19, 2020
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Q-CapsNets: A Specialized Framework for Quantizing Capsule Networks

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Apr 17, 2020
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X-TrainCaps: Accelerated Training of Capsule Nets through Lightweight Software Optimizations

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May 24, 2019
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