Seminar: Selected Topics in Machine Learning Research
(IN2107, IN4872)
Application
The pre-course meeting with information regarding the course format, possible topics etc. is scheduled for July 10, 2023 10am on zoom (Passcode: 021039). Slides can be found here.
Note that you have to register via the matching system and fill out our application form to apply for a spot!
Schedule
- Pre-course meeting: July 10, 2023 10am
- Application deadline (matching system & form): July 19th, 2023
- Kick-off meeting: October 20th, 2023
- Final presentations: February 16th, 2024
Prerequisites
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.
Description
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.