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Institute of Computational Perception
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Seminar in AI

In this seminar, we will discuss how scientific publications come about, and then guide you in conducting and presenting a review of publications for a topic of your choice. The review will be presented in class, as well has handed in as a written report. The lecturers and topics will change every year.

For Winter 2020, Navid Rekabsaz and Jan Schlüter will provide potential topics from two fields:

  • machine learning for music and audio processing (such as music similarity estimation, auto-tagging, acoustic scene analysis)
  • natural language processing (such as sentiment analysis, translation, summarization)
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General information

Eligibility: Master in AI.

Seminar objectives: Improving knowledge and skills in

  • literature research,
  • independent development of a topic that is novel to the student,
  • presentation of results (delivering a written report and giving an oral presentation), and
  • critical assessment of scientific work (reviewing reports by others).

Language: English

Specific content and activities to be performed

  1. Choose your favorite topic from a list (quite comprehensive, provided by course supervisors)
     
  2. Find and study relevant literature (6-8 papers), compile annotated bibliography (about 10 lines per paper; approx. 6 weeks time)
     
  3. Deliver written seminar report (about 12 pages, until mid-term)
     
  4. Review a colleague's report (optional; depending on number of participants)
     
  5. Deliver oral seminar presentation (about 20 minutes, end of semester)