Michael Schröder

Michael Schröder

Univ.Ass. Dipl.-Ing.

Michael Schröder is a PhD student advised by Jürgen Cito.

Teaching

No.TypeTitleLecturers
188923VUModel EngineeringDominik Bork, Gerti Kappel, Michael Schröder
188416PRInformatics Lab (Freifachpraktikum)Christian Huemer, Dominik Bork, Gerti Kappel, Jürgen Cito, Michael Schröder
188926PRBachelor Thesis for Informatics and Business InformaticsChristian Huemer, Dominik Bork, Gerti Kappel, Jürgen Cito, Michael Schröder
194074PRProject in Computer Science 1Christian Huemer, Dominik Bork, Gerti Kappel, Jürgen Cito, Michael Schröder
194075PRProject in Computer Science 2Christian Huemer, Dominik Bork, Gerti Kappel, Jürgen Cito, Michael Schröder

Publications

(2020). Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering.

Talk: CIKM 2020: International Conference on Information & Knowledge Management 2020, Virtual Event, Ireland; 12-03-2020 - 12-05-2020; in: “Proceedings of the 29th ACM International Conference on Information & Knowledge Management”, Association for Computing Machinery, (2020), ISBN: 9781450368599; 3031 - 3038.

PDF Publik

(2020). Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation.

ArXiv, 2010.02666 (2020), 1 - 8.

Publik