Towards a Principled Understanding of Deep Learning


Project 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 -
Field of Study - ​computer science, mathematics

About the

Peter Richtarik

Peter Richtarik

Desired Project Deliverables

​Ideally contribution to a research paper​.