Students are required to conduct and submit a research project as well as present an accompanying poster at the poster session on March 12 present your findings during the final session on March 16. Students may work on projects in groups of up to 3 people. Note the topic of your project can be different from the topic of your presentation.
The project can be on any topic related to the course material. The purpose of the project is to gain a better understanding of experimental and/or theoretical aspects of interactive learning algorithms. While we encourage you to explore new research directions, projects may also focus on reproducing or comparing previous approaches, perhaps investigating various theoretical or design choices. If you are a graduate student currently working on a related topic, you may use your research for the project. Generally, projects will fall into one of the following categories:
Pure Theory: study proof techniques, try to extend a proof, or apply a proof to a new setting.
Algorithms & Models: extend an algorithm or model, design a new one, or adapt one for a new setting.
Applications: identify the correct assumptions for approaching a new setting, experimentally validate these assumptions.
Due Feb 5th, 2021.
The project proposal is a mechanism to get you to start thinking about your project. It is non-binding; you can change the direction of the project after the proposal submission.
Project proposals could be 2-3 pages (3 pages maximum), excluding references.
The structure for the project proposal should generally cover the following aspects:
Introduction of research area: Motivate why this area is interesting and describe key technical challenges.
Related work: Give an overview of different types of approaches and highlight assumptions of previous work. This should not be a laundry list of previous papers. Rather, it should describe previous approaches in broad strokes.
Research question(s): Describe one or more research questions to be addressed. The research question should be a high-level description of the project topic.
Research plan: Describe a preliminary plan to address the research question(s), and outline any experimental set-ups, such as datasets, models, etc. The research plan should extend the research question(s) to the details of the project.