Towards a Principled Understanding of Deep Learning
ApplyProject Description
Deep learning models provide state of the art performance on many practical machine learning tasks. However, there is a large gap between our theoretical / conceptual understanding and practice.
The intern will work in one of the follow areas, depending on interest and background:
- Deep learning models
- Adversarial attacks and robustness
- Optimization for deep learning
- Generalization of deep learning
- GANs
- Model compression
Program -
Computer Science
Division -
Computer, Electrical and Mathematical Sciences and Engineering
Faculty Lab Link -
https://richtarik.org/
Field of Study -
computer science, mathematics
About the
Researcher
Peter Richtarik
Desired Project Deliverables
Ideally contribution to a research paper.