Project

The project is performed in groups of 4 students in the period December 12, 2016 - January 16, 2017. To make the groups as homogeneous as possible in terms of ambition level for this course, we will divid you into groups dependent on grade performance on Assignment 1.

The final group assignments with assigned paper to each group will be announced on Project groups, which is only open to students registered for this course round. Each group selects a project together and emails the supervisor see the text under supervision.

PhD students have been placed in separate groups, and working with papers related to their research.

The task of the project is to reproduce the results presented in a published scientific article, describe the article orally and in written form to your peer students, and argue for and against the method presented in the article. From this you will learn how to read scientific articles, how to implement and use a particular method, how to argue for and against a method, and how to adapt the presentation of a method to different target groups (i.e., adapt the presentation of the method in the article - targeted to active researchers in Machine Learning - so that it is understandable to first year Master students in Machine Learning).

Below, you find lists of scientific articles; Each teacher has provided their own list, and will take responsibility for the supervision of the projects on their papers.

Supervision

The group should plan and carry out the project autonomously. However, the teacher who listed the article you work with is available to answer questions, should you get stuck. We may also schedule some help sessions. Please, contact you supervisor as soon as the group has selected a paper. Send a single email from the group to the supervisor no later than noon Friday December 16. If you are too unevenly distributed over supervisors, we may move some groups to another supervisor than the one who suggested the paper. We will first move the ones that last emailed their selection.

Grading

The requirements for pass (i.e., E or higher) are

an implementation of the method and recreation of the experiments, according to the instructions below,
a written report according to the instructions below,
an oral presentation according to the instructions below.

Higher grades (A-D) are set based on

how well you are able to repeat the results in the article (or alternatively, how well you argue for deviations between the results in the article and your own results),
how well you are able to argue for and against the method in the article, and
how well you are able to present the method in the article, making it understandable to your peer students. Both the written and oral presentation are taken into account.

Implementation

Each group should implement the method as described in the paper. You may use any programming language. You should implement the entire algorithm "from scratch" to fully understand all details of it. there are exceptions to this, such as complex optimization schemes, which are too time consuming to implement - these exceptions are listed in connection to each paper.

You are not allowed to contact the authors and ask for their source code.

You will then perform the same experiments as those described in the article. Ideally, you should get the same results. If this is not the case, you must make an argument about possible reasons, and prove your argument by small experiments which you design and carry out yourself. A negative reproduction result together with a good argument gives an equally high grade as a positive reproduction result.

All group members must participate actively in the implementation, i.e., write code. Each piece of code that you write should have a comment stating who contributed to that piece of code. You do not have to submit the code for assessment, but be prepared to show it upon request. (For more information about code plagiarism, se General > Honor code in the menu to the left.)

Written Report

The article, the re-implementation, and your results are presented in a written report, to be sent to your supervisor via email in pdf format before the oral presentation on January 16. The report should be at most 7 pages, with 12 pt font and about 2.5 cm margins, including references, images, and tables. In addition to the 7 pages, the report should have a cover page with title, group number, author list and (optional) abstract. The report should be written in (to a reasonable level) grammatically correct English.

In the report you should first describe the article on such a level of detail that your peer students in this course understand the method, and so that it is clear to the reader that you understand the method too.

You should then present your re-implementation of the method, and your reproduction of the results, again on such a level that your peer students understand what you have done, and so that it is clear to the reader what results you got and if, how, and why they deviate from the results presented in the original article.

Finally you should argue for and against the method, possibly suggesting improvements.

All statements made in the report (e.g., "method X is better than method Y") should be supported by either a reference to the original paper or report where the statement was made, or if the statement originates from you, you should explain why this statement is true.

A technically correct, well organized report with good language and a clear line of argument will receive a high grade. Missed hand-in deadline, violations of the length and formatting requirements, as well as statements not supported by references will have a heavy negative effect on the grade.

All group members must participate actively in the writing of the report. By adding a group member to the author list of the report, you certify that this person has written at least one section of the report.

Oral Presentation

You will also present your project to the other students of the course in a short oral presentation on January 16.

Each presentation is 10 minutes long and should follow the this format:

The aim of the article - what problem is addressed?
The method
The results that they get in the article
The results that you get
If there are differences - what are the reasons?
Arguments for and against the method

A clear, well organised presentation will receive a high grade. We can assure you that you will not get lower grades if you are nervous and make mistakes because of that. However, do not try to cram too much into the presentation - violations of the 10 minute time limit will have a negative effect on the grade.

Slides are optional, but if you have them they should be in pptx or pdf format. Bring the slides to the session on a memory stick, so that they can be uploaded to one computer in the beginning of the session.

All group members must participate actively in the oral presentation, i.e., talk for at least a minute. Those that cannot be present can do their part over Skype.