Each group of student(s) will work on a course project, write a project report, and give a presentation
about the project at the end of this course. Projects should be done either individually (literature
review) or in a team of 2~3 students (research project). Students are encouraged to talk to and discuss
with the instructor about the potential topics for the course project. Overall, the course project will
be worth 60% of the total grade. The concrete breakdown of each part is listed as follows:
A course project could be either in the form of a literature review or a research project.
In order to balance the per-student workload, literature review could only be done individually, and a
research project should be finished in a team of 2~3 students. For both types of course projects, you
are free to work on any topics that are broadly related to transfer learning, e.g., recent advances in
meta-learning / multitask learning, out-of-domain generalization, distributionally robust learning,
domain adaptation / generalization etc.
The course project will be evaluated on three parts:
||Due on Sep. 29th, 2 pages, must use NeurIPS LaTeX
||The last three lectures, (10 mins)
||Due on Dec. 10th, 9 pages + unlimited reference and appendix, must use NeurIPS LaTeX