| 31 |
|
Neural Symbolic Machine Reasoning in the Physical World
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Yi, Kexin
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Harvard University. : ProQuest Dissertations & Theses
|
530
|
2021
|
|
|
|
| 32 |
|
Efficient Reconstruction and Proofreading of Neural Circuits
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Gonda, Felix Emmanuel
|
Harvard University. : ProQuest Dissertations & Theses
|
004
|
2021
|
|
|
|
| 33 |
|
Towards an Empirical Theory of Deep Learning
|
Nakkiran, Preetum
|
Harvard University. : ProQuest Dissertations & Theses
|
004
|
2021
|
|
|
|
| 34 |
|
Novel Applications of Deep Learning to Computational Ethology: Behavior Classification and Full-Body Pose Estimation
|
Bohnslav, James Philip
|
Harvard University. : ProQuest Dissertations & Theses
|
616
|
2021
|
|
|
|
| 35 |
|
Detecting System Anomalies Using Kernel-Level Data Provenance
|
Han, Xueyuan
|
Harvard University. : ProQuest Dissertations & Theses
|
004
|
2022
|
|
|
|
| 36 |
|
Building the Theoretical Foundations of Deep Learning: An Empirical Approach
|
Bansal, Yamini
|
Harvard University. : ProQuest Dissertations & Theses
|
620
|
2022
|
|
|
|
| 37 |
|
Statistical Learning Methods for Multi-Dataset Prediction
|
Loewinger, Gabriel
|
Harvard University. : ProQuest Dissertations & Theses
|
574
|
2022
|
|
|
|
| 38 |
|
Essays in Household Finance and Consumer Protection
|
Gillis, Talia B
|
Harvard University. : ProQuest Dissertations & Theses
|
001.5
|
2022
|
|
|
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