Extended Seminar – Systems and Machine Learning
The seminar will be jointly held by Profs. Carsten Binnig and Kristian Kersting.
This year's seminar will be centered around machine learning for systems (e.g., using machine learning to improve data management or software engineering systems but excluding systems targeted for machine learning) including topics such as learned database components or relational machine learning.
The topics will be assigned based on an on-line bidding process, which will be opened after the kick-off. The final assignment will be made a week later.
|Last offered||Current Winter Semester (20/21)|
|Lecturer||Profs. Carsten Binnig, Kristian Kersting, Mira Mezini|
|Examination||See Grading section below|
|The kickoff meeting will be announced in Moodle (link above).|
Below, you find some general information about the seminar. For all information regarding this year's seminar (including important dates) please check the moodle course linked above.
It is not necessary to have prior knowledge in artificial intelligence, but prior knowledge in software/hardware systems and machine learning is helpful. Participation is limited to 20 students.
For further questions feel free to send an email to firstname.lastname@example.org. No prior registration is needed, however, please still send us an email so that we are able to estimate beforehand the number of participants, and have your E-mail address for possible announcements. Also make sure that you are registered in TUCaN.
What is “Extended” about this seminar? Students are not only expected to give a short talk, but also to prepare a small write-up. The write-up will be prepared in groups, each group will cover one theme, consisting of four topics. The final write-up must be concise and short, and should give a short overview of the theme (not necessarily limited to the studied papers).
In addition, we will also do a peer reviewing process, as it is usually done at scientific conferences. This means that you also have to read (some) of the other write-ups and provide feedback by filling out a review form.
Because they are more work for students, students receive 4 CPs for Extended Seminars (instead of 3 CPs for regular seminars).
The talks are organized in topical groups. Each group must prepare one short write-up of their work.
Content: The papers are related to each other. Your task is to use these papers to create a mini-survey that combines the results of all papers, and possibly other papers. The contribution of each individual paper can be limited to the most important points that are contributed by this paper to the topic. There must be a clear “red thread” within each survey, a concatenation of individual paper summaries is not enough. A possible outline can consist of an introduction to set the stage and outline the cross-cutting themes of all papers, multiple sections on individual contributions w.r.t. cross-cutting themes and comparison of different approaches, a joined related work section, and a summary and outlook.
Format: The format for the write-up is predefined, and follows conventions that are typically used for publications in computer science. In particular, we require each paper to be formatted according to the Template for Proceedings in ACM Conferences (2-column layout). Each paper should have no more than 6 pages in this format (the bibliography is not counted, and can be as long as necessary). The format must not be changed in order to generate more space. Each paper also must, of course, have a title, authors, and an abstract. The templates are available in Word and LaTeX, but we strongly recommend that you try to use LaTeX. Environments such as MiKTeX and TeXstudio make local LaTeX-editing quite easy, and web-sites like Overleaf offer collaborative working environments for LaTeX.
Reviews are required for all three other writeups. A reviewing form will be provided by then.
The slides, the presentation, the answers given to questions in your talk will influence the overall grade, as will the write-up and the reviews. Furthermore, it is expected that students actively participate in the discussions, and this will also be part of the final grade.
To achieve a grade in the 1.x range, the talk and write-up needs to exceed the recitation of the given material and include own ideas, own experience or even examples/demos. An exact recitation of the papers will lead to a grade in the 2.x range. A weak presentation and lack of engagement in the discussions may lead to a grade in the 3.x range, or worse. For the write-ups it is important that they provide a coherent view (like a survey paper), and do not simply consist of a concatenation of four paper summaries.
See schedule on Moodle (link above)
All papers should be available on the internet or in the ULB. Note that Springer link often only works on campus networks (sometimes not even via VPN). If you cannot find a paper, contact us.
See moodle course for current topics.