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pro vyhledávání: '"Zhang, Jinnian"'
Vision transformer (ViT) recently has drawn great attention in computer vision due to its remarkable model capability. However, most prevailing ViT models suffer from huge number of parameters, restricting their applicability on devices with limited
Externí odkaz:
http://arxiv.org/abs/2207.10666
Vision Transformer (ViT) models have recently drawn much attention in computer vision due to their high model capability. However, ViT models suffer from huge number of parameters, restricting their applicability on devices with limited memory. To al
Externí odkaz:
http://arxiv.org/abs/2204.07154
Modeling powerful interactions is a critical challenge in Click-through rate (CTR) prediction, which is one of the most typical machine learning tasks in personalized advertising and recommender systems. Although developing hand-crafted interactions
Externí odkaz:
http://arxiv.org/abs/2105.10484
Purpose: The purpose of this study is to investigate the robustness of a commonly-used convolutional neural network for image segmentation with respect to visually-subtle adversarial perturbations, and suggest new methods to make these networks more
Externí odkaz:
http://arxiv.org/abs/1908.00656
The memory consumption of most Convolutional Neural Network (CNN) architectures grows rapidly with increasing depth of the network, which is a major constraint for efficient network training on modern GPUs with limited memory, embedded systems, and m
Externí odkaz:
http://arxiv.org/abs/1905.10915
Akademický článek
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Akademický článek
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Autor:
Zhang J; Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, United States of America., Chen W; Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, United States of America., Joshi T; Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, United States of America., Uyanik M; Medical Physics, University of Wisconsin-Madison, Madison, United States of America., Zhang X; Computer Science, University of Wisconsin-Madison, Madison, United States of America., Loh PL; Pure Mathematics and Mathematical Statistics, University of Cambridge, Cambridge, United Kingdom., Jog V; Pure Mathematics and Mathematical Statistics, University of Cambridge, Cambridge, United Kingdom., Bruce R; Radiology, University of Wisconsin-Madison, Madison, United States of America., Garrett J; Radiology, University of Wisconsin-Madison, Madison, United States of America., McMillan A; Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, United States of America.; Medical Physics, University of Wisconsin-Madison, Madison, United States of America.; Radiology, University of Wisconsin-Madison, Madison, United States of America.; Biomedical Engineering, University of Wisconsin-Madison, Madison, United States of America.
Publikováno v:
Biomedical physics & engineering express [Biomed Phys Eng Express] 2024 Aug 23; Vol. 10 (5). Date of Electronic Publication: 2024 Aug 23.