| 91 |
|
Scalable Machine Learning Using Dataflow Graph Analysis
|
Huang, Chien-Chin
|
New York University. : ProQuest Dissertations & Theses
|
001
|
2019
|
|
|
|
| 92 |
|
Life Language Processing: Deep Learning-based Language-agnostic Processing of Proteomics, Genomics/Metagenomics, and Human Languages
|
Asgari, Ehsaneddin
|
University of California, Berkeley. : ProQuest Dissertations & Theses
|
004
|
2019
|
|
|
|
| 93 |
|
Simulating Drug Responses in Laboratory Test Time Series with Deep Generative Modeling
|
Yahi, Alexandre
|
Columbia University. : ProQuest Dissertations & Theses
|
001
|
2019
|
|
|
|
| 94 |
|
Towards Automatic Machine Learning Pipeline Design
|
Milutinovic, Mitar
|
University of California, Berkeley. : ProQuest Dissertations & Theses
|
001
|
2019
|
|
|
|
| 95 |
|
Holistic Optimization of Embedded Computer Vision Systems
|
Buckler, Mark Andrew
|
Cornell University. : ProQuest Dissertations & Theses
|
001
|
2019
|
|
|
|
| 96 |
|
Machine Learning-Based Inverse Solution for Predictions of Impact Conditions during Car Collisions
|
Li, Tiange
|
University of California, Berkeley. : ProQuest Dissertations & Theses
|
001
|
2019
|
|
|
|
| 97 |
|
Reinforcement Learning with High-Level Task Specifications
|
Wen, Min
|
University of Pennsylvania. : ProQuest Dissertations & Theses
|
004
|
2019
|
|
|
|
| 98 |
|
Rich and Scalable Models for Text
|
Nguyen, Thang Dai
|
University of Maryland, College Park. : ProQuest Dissertations & Theses
|
001
|
2019
|
|
|
|
| 99 |
|
Efficient Deep Neural Networks
|
Wu, Bichen
|
University of California, Berkeley. : ProQuest Dissertations & Theses
|
620
|
2019
|
|
|
|
| 100 |
|
Learning to Generalize via Self-supervised Prediction
|
Pathak, Deepak
|
University of California, Berkeley. : ProQuest Dissertations & Theses
|
001
|
2019
|
|
|
|
