| 11 |
|
Improved Training of Deep Networks for Computer Vision
|
Yadav, Abhay Kumar
|
University of Maryland, College Park. : ProQuest Dissertations & Theses
|
004
|
2021
|
|
|
|
| 12 |
|
Synthesizing Lenses
|
Miltner, Anders Francis
|
Princeton University. : ProQuest Dissertations & Theses
|
004
|
2020
|
|
|
|
| 13 |
|
The Empirical Moment Matrix and Its Application in Computer Vision
|
Gou, Mengran
|
Northeastern University. : ProQuest Dissertations & Theses
|
004
|
2018
|
|
|
|
| 14 |
|
Holistic Optimization of Embedded Computer Vision Systems
|
Buckler, Mark Andrew
|
Cornell University. : ProQuest Dissertations & Theses
|
001
|
2019
|
|
|
|
| 15 |
|
A Framework for the Rapid Creation of Quality-Assured Programming Rubrics for New K-12 Computer Science Teachers
|
Catete, Veronica Meredith
|
North Carolina State University. : ProQuest Dissertations & Theses
|
004
|
2018
|
|
|
|
| 16 |
|
Sharing Without Showing: Building Secure Collaborative Systems
|
Zheng, Wenting
|
University of California, Berkeley. : ProQuest Dissertations & Theses
|
004
|
2020
|
|
|
|
| 17 |
|
Sample-Efficient Learning and Generalization with Text Representations
|
Logeswaran, Lajanugen
|
University of Michigan. : ProQuest Dissertations & Theses
|
004
|
2021
|
|
|
|
| 18 |
|
Cautiously Optimistic Program Analyses for Secure and Reliable Software
|
Banerjee, Subarno
|
University of Michigan. : ProQuest Dissertations & Theses
|
004
|
2021
|
|
|
|
| 19 |
|
Making Hybrid Systems Easier to Model, Simulate, and Visualize
|
Zeng, Yingfu
|
Rice University. : ProQuest Dissertations & Theses
|
004
|
2019
|
|
|
|
| 20 |
|
Abstracting Systems Challenges from Distributed Deep Learning
|
Or, Andrew
|
Princeton University. : ProQuest Dissertations & Theses
|
004
|
2021
|
|
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