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1.
Text Representation using Convolutional Networks
by Zhang, Xiang, Ph.D.  New York University. 2019: 164 pages; 10928487.
2.
Comparison and Fine-Grained Analysis of Sequence Encoders for Natural Language Processing
by Keller, Thomas Anderson, M.S.  University of California, San Diego. 2017: 87 pages; 10599339.
3.
Computational Models for Auditory Scene Analysis
by Mobin, Shariq A., Ph.D.  University of California, Berkeley. 2019: 67 pages; 13885042.
4.
Representation Learning on Sequential Medical Data
by Hyland, Stephanie L., Ph.D.  Weill Medical College of Cornell University. 2019: 245 pages; 13805668.
5.
Real-World Robotic Perception and Control Using Synthetic Data
by Tobin, Joshua P., Ph.D.  University of California, Berkeley. 2019: 79 pages; 13886306.
6.
Attention-Dependent and Continuous Representation Learning using Deep Autoencoders
by Dellana, Ryan, Ph.D.  North Carolina Agricultural and Technical State University. 2019: 104 pages; 22583727.
7.
Unsupervised Learning under Uncertainty
by Mathieu, Michaël, Ph.D.  New York University. 2017: 159 pages; 10261120.
8.
Deep Networks for Forward Prediction and Planning
by Henaff, Mikael, Ph.D.  New York University. 2018: 164 pages; 10928805.
9.
Learning to Predict Human Behavior from Video
by Felsen, Panna, Ph.D.  University of California, Berkeley. 2019: 70 pages; 13886183.
10.
Analysis and Applications of the Locally Competitive Algorithm
by Paiton, Dylan M., Ph.D.  University of California, Berkeley. 2019: 99 pages; 13885693.
11.
Supervised and Unsupervised Learning for Semantics Distillation in Multimedia Processing
by Liu, Yu, Ph.D.  State University of New York at Buffalo. 2018: 150 pages; 10932367.
12.
Leveraging Deep Neural Networks to Study Human Cognition
by Peterson, Joshua C., Ph.D.  University of California, Berkeley. 2018: 129 pages; 10930700.
13.
Large Scale Electronic Health Record Data and Echocardiography Video Analysis for Mortality Risk Prediction
by Ulloa Cerna, Alvaro Emilio, Ph.D.  The University of New Mexico. 2019: 132 pages; 22582738.
14.
Improving Biological Object Classification in Plankton Images Using Convolutional Neural Networks, Geometric Features, and Context Metadata
by Ellen, Jeffrey Scott, Ph.D.  University of California, San Diego. 2018: 233 pages; 10933313.
16.
Programming Agent-Based Models by Demonstration
by Budhraja, Karan K., Ph.D.  University of Maryland, Baltimore County. 2019: 258 pages; 13428284.
17.
Learning to Manipulate Novel Objects for Assistive Robots
by Sung, Jaeyong, Ph.D.  Cornell University. 2017: 190 pages; 10258261.
18.
Learning to Play Cooperative Games via Reinforcement Learning
by Wei, Ermo, Ph.D.  George Mason University. 2018: 162 pages; 13420351.
19.
Beyond Who and What: Data Driven Approaches for User Behavior Modeling
by Nigam, Aastha, Ph.D.  University of Notre Dame. 2018: 257 pages; 13836458.
20.
Learning to Learn with Gradients
by Finn, Chelsea B., Ph.D.  University of California, Berkeley. 2018: 199 pages; 10930398.
21.
Learning from Temporally-Structured Human Activities Data
by Lipton, Zachary C., Ph.D.  University of California, San Diego. 2017: 274 pages; 10683703.
1 - 21 of 21 displayed.
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