Computer Science Doctoral Dissertations

Computer Science Doctoral Dissertations-30
Deep learning has transformed the artificial intelligence field and has led to significant advances in areas including speech recognition, computer vision and robotics.However, deep learning methods require large datasets, which aren’t readily available in areas such as medical imaging and robotics.

She has developed some of the most effective methods to teach robots skills to control and manipulate objects.

In one instance highlighted in her dissertation, she used her MAML methods to teach a robot reaching and placing skills, using raw camera pixels from just a single human demonstration.

He introduces significant advances in proving convergence of nonconvex optimization algorithms in machine learning, and outlines properties of machine learning models trained via such methods.

In the first part of his thesis, Ma studies a range of problems, such as matrix completion, sparse coding, simplified neural networks, and learning linear dynamical systems, and formalizes clear and natural conditions under which one can design provable correct and efficient optimization algorithms.

Presented annually to the author(s) of the best doctoral dissertation(s) in computer science and engineering.

Research Paper On Language - Computer Science Doctoral Dissertations

The Doctoral Dissertation Award is accompanied by a prize of ,000, and the Honorable Mention Award is accompanied by a prize totaling ,000.

He received a Ph D in Computer Science from Princeton University and a BS in Computer Science from Tsinghua University.

Chelsea Finn of University of California, Berkeley has received ACM's 2018 Doctoral Dissertation Award for introducing algorithms for meta-learning that enable deep networks to solve new tasks from small datasets.

Di Martino PDF Towards Robust Dense Visual Simultaneous Localization and Mapping (SLAM), Juan Falquez PDF Natural Language Understanding: Deep Learning for Abstract Meaning Representation, William Roger Foland Jr.

PDF A Paradigm for Scalable, Transactional, and Efficient Spatial Indexes, Ning Gao PDF Parameter Dimension Reduction for Scientific Computing, Andrew Taylor Glaws PDF In-Material Processing of High Bandwidth Sensor Measurements Using Modular Neural Networks, Dana Hughes PDF Distributed and Decentralized Algorithms for Functional Programmable Matter, John Klingner PDF Program Synthesis for Software-Defined Networking, Jedidiah Mc Clurg PDF Climate Model Quality Assurance Through Consistency Testing and Error Source Identification, Daniel J.

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