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21
Deep Thinking Systems: Logical Extrapolation With Recurrent Neural Networks- [electronic resource]
Deep Thinking Systems: Logical Extrapolation With Recurrent Neural Networks- [electronic resource]
Schwarzschild, Avi.Mathematics. | University of Maryland, College Park. | 2023
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22
Algorithm-Centric Design of Reliable and Efficient Deep Learning Processing Systems- [electronic resource]
Algorithm-Centric Design of Reliable and Efficient Deep Learning Processing Systems- [electronic resource]
Ozen, Elbruz.Computer Science and Engineering. | University of California, San Diego. | 2023
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23
Adversarial Attack and Defense for Image Classification.
Adversarial Attack and Defense for Image Classification.
Wang, Hong.Applied Mathematics and Statistics. | State University of New York at Stony Brook. | 2022
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24
Interpretable Deep Learning for Time Series.
Interpretable Deep Learning for Time Series.
Ismail, Aya Abdelsalam.Computer Science. | University of Maryland, College Park. | 2022
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25
Improved Training of Deep Networks for Computer Vision.
Improved Training of Deep Networks for Computer Vision.
Yadav, Abhay Kumar.Computer Science. | University of Maryland, College Park. | 2021
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26
Resource-Efficient Methods in Machine Learning.
Resource-Efficient Methods in Machine Learning.
Vodrahalli, Kiran.Computer Science. | Columbia University. | 2022
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27
Efficient Neural Network Synthesis and Its Application in Smart Healthcare.
Efficient Neural Network Synthesis and Its Application in Smart Healthcare.
Hassantabar, Shayan.Electrical and Computer Engine | Princeton University. | 2022
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28
Graph Neural Networks: A Feature and Structure Learning Approach.
Graph Neural Networks: A Feature and Structure Learning Approach.
Gao, Hongyang.Computer Science and Engineering. | Texas A&M University. | 2020
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29
Applied Topology and Geometry of Neural Codes and Data.
Applied Topology and Geometry of Neural Codes and Data.
Chen, Aaron Haoxuan.Computational and Applied Math | The University of Chicago. | 2022
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30
From Proteins, to Machines, to Protons, to Genes, and Back Again.
From Proteins, to Machines, to Protons, to Genes, and Back Again.
Fraga, Keith Jeffrey.Biochemistry Molecular Cellul | University of California, Davis. | 2022
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