Home » Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation

Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation

Authors: 
Sebastian Hofstätter
Sophia Althammer
Michael Schröder
Mete Sertkan
Type: 
Journal article
Proceedings: 
Publisher: 
ArXiv, 2010.02666-
Pages: 
1 - 8
ISBN: 
Year: 
2020
Abstract: 
TU Focus: 
Information and Communication Technology
Reference: 

S. Hofstätter, S. Althammer, M. Schröder, M. Sertkan, A. Hanbury:
"Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation";
ArXiv, 2010.02666 (2020), S. 1 - 8.

PDF Link: 
Last changed: 
09.01.2021 17:27:35
TU Id: 
294165
Accepted: 
Accepted
Invited: 
Department Focus: 
Business Informatics
Info Link: 
https://publik.tuwien.ac.at/showentry.php?ID=294165&lang=1
Abstract German: 
Author List: 
S. Hofstätter, S. Althammer, M. Schröder, M. Sertkan, A. Hanbury