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1.
Self -taught learning
by Raina, Rajat, Ph.D.  Stanford University. 2009: 155 pages; 3382948.
2.
Semi-supervised learning for connectionist networks
by Robare, Rebecca J., Ph.D.  City University of New York. 2010: 117 pages; 3426834.
3.
Spiking Neural Networks and Sparse Deep Learning
by Tavanaei, Amirhossein, Ph.D.  University of Louisiana at Lafayette. 2018: 176 pages; 10807940.
4.
Acquiring Information from Wider Scope to Improve Event Extraction
by Liao, Shasha, Ph.D.  New York University. 2012: 103 pages; 3524290.
5.
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.
6.
Interactive Learning for Sequential Decisions and Predictions
by Ross, Stephane, Ph.D.  Carnegie Mellon University. 2013: 294 pages; 3575525.
7.
Counterfactual Evaluation and Learning From Logged User Feedback
by Swaminathan, Adith, Ph.D.  Cornell University. 2017: 224 pages; 10258968.
8.
Learning to Learn with Gradients
by Finn, Chelsea B., Ph.D.  University of California, Berkeley. 2018: 199 pages; 10930398.
9.
Scalable graph -based learning applied to human language technology
by Alexandrescu, Andrei, Ph.D.  University of Washington. 2009: 206 pages; 3377339.
10.
Task Relationship Modeling in Lifelong Multitask Learning
by Mishra, Meenakshi, Ph.D.  University of Kansas. 2015: 165 pages; 3721005.
11.
Semi-Supervised Learning for Electronic Phenotyping in Support of Precision Medicine
by Halpern, Yonatan, Ph.D.  New York University. 2016: 353 pages; 10192124.
12.
Utilizing Various Neural Network Architectures to Play a Game Developed for Human Players
by Arender, Blake, M.S.  The University of Mississippi. 2018: 51 pages; 10752390.
13.
Multi-tier Internet service management: Statistical learning approaches
by Muppala, Sireesha, Ph.D.  University of Colorado at Colorado Springs. 2013: 167 pages; 3560749.
14.
Deep Learning for Information Extraction
by Nguyen, Thien Huu, Ph.D.  New York University. 2018: 246 pages; 10260911.
15.
Unsupervised Learning under Uncertainty
by Mathieu, MichaĆ«l, Ph.D.  New York University. 2017: 159 pages; 10261120.
16.
Link Discovery through Iterative Link Classification: Towards a Real-Time Analysis of Graph Evolution
by Pusala, Murali Krishna, Ph.D.  University of Louisiana at Lafayette. 2018: 116 pages; 10846556.
17.
Beyond Labels and Captions: Contextualizing Grounded Semantics for Explainable Visual Interpretation
by Aakur, Sathyanarayanan Narasimhan, Ph.D.  University of South Florida. 2019: 138 pages; 13903779.
18.
Ensemble supervised and unsupervised learning with Kepler variable stars
by Bass, Gideon, Ph.D.  George Mason University. 2015: 120 pages; 10027479.
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Creative Learning for Intelligent Robots
by Liao, Xiaoqun, Ph.D.  University of Cincinnati. 2006: 295 pages; 10857161.
22.
Cross-Lingual Alignment of Word & Sentence Embeddings
by Aldarmaki, Hanan, Ph.D.  The George Washington University. 2019: 113 pages; 13812118.
23.
New Deep Learning Based Approaches for Biomedical Image Segmentation and Related Problems
by Yang, Lin, Ph.D.  University of Notre Dame. 2018: 129 pages; 13836469.
24.
Smoothing class transitions with hard labels
by Malkin, Jonathan, Ph.D.  University of Washington. 2010: 193 pages; 3406833.
26.
Analysis and Applications of the Locally Competitive Algorithm
by Paiton, Dylan M., Ph.D.  University of California, Berkeley. 2019: 99 pages; 13885693.
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30.
Any domain parsing: Automatic domain adaptation for natural language parsing
by McClosky, David, Ph.D.  Brown University. 2010: 86 pages; 3430199.
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