[en] Which topics of machine learning are most commonly addressed in research? This question was initially answered in 2007 by doing a qualitative survey among distinguished researchers. In our study, we revisit this question from a quantitative perspective. Concretely, we collect 54K abstracts of papers published between 2007 and 2016 in leading machine learning journals and conferences. We then use machine learning in order to determine the top 10 topics in machine learning. We not only include models, but provide a holistic view across optimization, data, features, etc. This quantitative approach allows reducing the bias of surveys. It reveals new and up-to-date insights into what the 10 most prolific topics in machine learning research are. This allows researchers to identify popular topics as well as new and rising topics for their research.
Disciplines :
Computer science
Author, co-author :
Glauner, Patrick ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Du, Manxing ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Paraschiv, Victor; Numbers of others
Boytsov, Andrey ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Lopez Andrade, Isabel; American Express
Meira, Jorge Augusto ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Valtchev, Petko ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
State, Radu ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
External co-authors :
yes
Language :
English
Title :
The Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study
Publication date :
2017
Event name :
25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2017)
Event date :
from 26-04-2017 to 28-04-2017
Audience :
International
Main work title :
Proceedings of the 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2017)
