Learning

Generalization, Interpretability and Reliable Learning

How to understand and improve generalization and robustness in deep networks?

Probabilistic Models and Inference

Apply probabilistic modeling, deep generative modeling and inference to solve inverse problem.

Regularization, Semi supervised Learning and Data augmentation

Apply smoothness based regularization to help semi supervised learning.