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.