Seminar: Selected Topics in Machine Learning Research

(IN2107, IN4872)


The pre-course meeting with information regarding the course format, possible topics etc. is scheduled for July 18, 2022 2pm on zoom (Passcode: 021039). slides

Note that you have to register via the matching system and fill out our application form to apply for a spot! 


  • Pre-course meeting: July 18th, 2022 2pm
  • Application deadline (matching system & form): July 27th, 2022
  • Kick-off meeting: October 20th, 2022 
  • Final presentations: February 9th and February 10th, 2023


This seminar is intended for Master's students only. You should have attended (and passed) the Machine Learning lecture (IN2064). Having attended Machine Learning for Graphs and Sequential Data (IN2323, formerly Mining Massive Datasets) is a plus.


The amount of research in machine learning has grown exponentially in the last couple of years, uncovering many promising and successful research directions. In this seminar we will select and discuss a diverse set of topics of current research. This seminar will let students get acquainted with current machine learning research, let them explore new fields and ideas and let them analyze and criticize recent publications.

To do so, each student will receive 2-5 research papers which they should carefully read and analyze. Starting from these they should explore the surrounding literature and summarize their findings, criticism, and research ideas in a 4-page paper (double column). The students will then review each other's work to give valuable feedback and criticism. Finally, all students will prepare 25-minute presentations and present their work during a block seminar at the end of the semester.