Each group should submit a project proposal (~1-2 page long) on their specific project idea by April 24, 2020. The proposal should be prepared using this LaTeX template and should provide the following:
- The research topic to be investigated,
- A list of key readings.
- Design overview,
- What data and metrics you will use,
- An approximate timeline of activities.
Due: May 20, 2020 (11:59pm)
Each group should submit a project progress report by May 20, 2020. The report should be 4-6 pages and should be prepared using this LaTeX template. In your report, please describe the following points as clearly as possible:
- Problem to be addressed. Give a short description of the problem that you will explore. Explain why you find it interesting.
- Related work. Briefly review the major works related to your research topic.
- Methodology to be employed. Describe the neural architecture that is expected to form the basis of the project. State whether you will extend an existing method or you are going to devise your own approach.
- Experimental evaluation. Briefly explain how you will evaluate your results. State which dataset(s) you will employ in your evaluation. Provide your preliminary results (if any).
- Preliminary results. Implement a simple baseline method and report its performance.
Due: June 26, 2020 (11:59pm) (No late submissions)
As the last deliverable of the course project, each group is expected to submit a project report prepared using this LaTeX template. The report should be 8 pages and should be structured as a research paper. It will be graded based on clarity of presentation and technical content. A typical organization of a report might follow:
- Title, Author(s).
- Introduction. This section introduces the problem that you investigated by providing a general motivation and briefly discusses the approach(es) that you explored to solve this problem.
- Related Work. This section discusses relevant literature for your project topic.
- The Approach. This section gives the technical details about your project work. You should describe the representation(s) and the algorithm(s) that you employed or proposed as detailed and specific as possible.
- Experimental Results. This section presents some experiments in which you analyze the performance of the approach(es) you proposed or explored. You should provide a qualitative and/or quantitative analysis, and comment on your findings. You may also demonstrate the limitations of the approach(es).
- Conclusions. This section summarizes all your project work, focusing on the key results you obtained. You may also suggest possible directions for future work.
- References. This section gives a list of all related work you reviewed or used.