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61
Robust and Efficient Algorithms for Federated Learning and Distributed Computing
Robust and Efficient Algorithms for Federated Learning and Distributed Computing
Reisizadehmobarakeh, Amirhossein. | University of California, Santa Barbara | 2021
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62
Improving Automated Quantification of MS Injuries with Deep Learning
Improving Automated Quantification of MS Injuries with Deep Learning
Zhang, Huahong. | Vanderbilt University | 2021
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63
Some Rare LSH Gems for Large-Scale Machine Learning
Some Rare LSH Gems for Large-Scale Machine Learning
Luo, Chen. | Rice University | 2019
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64
Statistical Machine Learning Approaches for Data Integration and Graphical Models
Statistical Machine Learning Approaches for Data Integration and Graphical Models
Wang, Minjie. | Rice University | 2021
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65
Resource-Efficient Machine Learning via Count-Sketches and Locality-Sensitive Hashing (LSH)
Resource-Efficient Machine Learning via Count-Sketches and Locality-Sensitive Hashing (LSH)
Spring, Ryan Daniel. | Rice University | 2020
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66
Max-Affine Splines Insights into Deep Learning
Max-Affine Splines Insights into Deep Learning
Balestriero, Randall. | Rice University | 2021
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67
Full-Field Analysis: A Machine Learning Approach
Full-Field Analysis: A Machine Learning Approach
Alakeely, Abdullah Ahmed. | Stanford University | 2021
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68
Learning from Worked Examples in Chemistry: A Self-Explanation Training
Learning from Worked Examples in Chemistry: A Self-Explanation Training
Campbell, Jacqueline M. | The Pennsylvania State University | 2020
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69
Spatial Learning in Virtual Environments
Spatial Learning in Virtual Environments
Zhao, Jiayan. | The Pennsylvania State University | 2020
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70
The Impact of Vicarious and Enactive Learning from a Digital Game on Statistics Knowledge, Self-Efficacy, and Situational Interest
The Impact of Vicarious and Enactive Learning from a Digital Game on Statistics Knowledge, Self-Efficacy, and Situational Interest
Hu, Huiqing. | The Pennsylvania State University | 2020
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