This project will cover topics about model robustness and generalization. For example, how to make a deep learning model perform well even on unseen data distributions. This project provides solutions on existing medical image diagnosis, where the test data sometimes is from unknown distributions.
1, Students will understand AI, machine learning, and deep learning.
2, They will perform experiments, read papers and discuss ideas with supervisors.
1. Students are expected to have a deep understanding of robustness and generalization in deep learning.
2. They are expected to know the existing research, including both the advantages and disadvantages.
3, They should be able to have their own ideas for solving cutting-edge problems and have research outcomes.