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1
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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2
Cross-Layer Methods for Energy-Efficient Inference Using In-Memory Architectures.
Cross-Layer Methods for Energy-Efficient Inference Using In-Memory Architectures.
Gonugondla, Sujan Kumar.Electrical & Computer Eng. | University of Illinois at Urbana-Champaign. | 2020
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3
Sparse Learning for Model Optimization
Sparse Learning for Model Optimization
Yang, Haichuan. | University of Rochester | 2020
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4
Blocked Algorithms for Neural Networks: Design and Implementation on GPUs
Blocked Algorithms for Neural Networks: Design and Implementation on GPUs
Tillet, Philippe. | Harvard University | 2020
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5
Deep Learning Methods for Reverberant and Noisy Speech Enhancement
Deep Learning Methods for Reverberant and Noisy Speech Enhancement
Zhao, Yan. | The Ohio State University | 2020
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6
Data Driven State Estimation in Distribution Systems
Data Driven State Estimation in Distribution Systems
Cao, Zhiyuan. | University of California, Los Angeles | 2020
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