Seminar: Current Topics in Machine Learning
(IN0014)
Application
The pre-course meeting with information regarding the course format, possible topics etc. is scheduled for 11.07.2024, at 4pm via Zoom. Slides are available 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: 11.07.2024, at 4pm via Zoom (slides)
- Application deadline (matching system & form): Application Form, Deadline: 20.07.2024
- Kick-off meeting: 17.10.2024, 10am, 00.11.038
- Final presentations: 20.02.2025, 21.02.2025
Material is available on Moodle.
Prerequisites
Background in Linear Algebra (MA0901), Calculus (MA0902) and Probability Theory (IN0018). Having passed Machine Learning lecture (IN2064), Machine Learning for Graphs and Sequential Data (IN2323) or Advanced Machine Learning: Deep Generative Models (CIT4230003) 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 a topic and associated research paper(s) which they should carefully read and analyze. Starting from these they should acquire the background knowledge for a thorough understanding of the given topic. This may also include exploring the surrounding literature and summarizing their findings, criticism, and even 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.