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



About the
Researcher
Peter Richtarik

Desired Project Deliverables
Ideally contribution to a research paper.