227-0559-00L  Seminar in Deep Neural Networks

SemesterFrühjahrssemester 2021
DozierendeR. Wattenhofer, O. Richter
Periodizitätjährlich wiederkehrende Veranstaltung
KommentarNumber of participants limited to 25.

KurzbeschreibungIn this seminar participating students present and discuss recent research papers in the area of deep neural networks.
LernzielWe aim at giving the students an in depth view on the current advances in the area by discussing recent papers as well as discussing current issues and difficulties surrounding deep neural networks. The students will learn to read, evaluate and challenge research papers, prepare coherent scientific presentations and lead a discussion on their topic.
InhaltThe seminar will cover a range of research directions, with a focus on Graph Neural Networks, Algorithmic Learning, Reinforcement Learning and Natural Language Processing. It will be structured in blocks with each focus area being briefly introduced before presenting and discussing recent research papers. Papers will be allocated to the students based on their preferences.

For more information see Link.
SkriptSlides of presentations will be made available.
LiteraturThe paper selection can be found on Link.
Voraussetzungen / BesonderesIt is expected that students have prior knowledge and interest in machine and deep learning, for instance by having attended appropriate courses.