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1
Compression and Curriculum Strategies for Efficient Learning in Deep Neural Networks.
Compression and Curriculum Strategies for Efficient Learning in Deep Neural Networks.
Ganesh, Madan Ravi.Electrical and Computer Enginee | University of Michigan. | 2022
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2
Data-Driven Learning of Dynamical Systems via Deep Neural Networks.
Data-Driven Learning of Dynamical Systems via Deep Neural Networks.
Fu, Xiaohan.Statistics. | The Ohio State University. | 2022
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3
Effective Training and Efficient Inference of Deep Neural Networks for Visual Understanding.
Effective Training and Efficient Inference of Deep Neural Networks for Visual Understanding.
Li, Hengduo.Computer Science. | University of Maryland, College Park. | 2022
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4
Learning Transferable Representations Across Domains- [electronic resource]
Learning Transferable Representations Across Domains- [electronic resource]
Yue, Xiangyu.Electrical Engineering & Computer Sci | University of California, Berkeley. | 2022
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5
Neural Network Implementations on Analog In-Memory-Computing Fabric.
Neural Network Implementations on Analog In-Memory-Computing Fabric.
Wang, Qiwen.Electrical and Computer Engineering. | University of Michigan. | 2022
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6
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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7
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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8
Resource-Efficient Methods in Machine Learning.
Resource-Efficient Methods in Machine Learning.
Vodrahalli, Kiran.Computer Science. | Columbia University. | 2022
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9
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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10
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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