Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Utku Mert"'
Autor:
Topcuoglu, Utku Mert, Akagündüz, Erdem
In this paper, we present an innovative approach to self-supervised learning for Vision Transformers (ViTs), integrating local masked image modeling with progressive layer freezing. This method focuses on enhancing the efficiency and speed of initial
Externí odkaz:
http://arxiv.org/abs/2312.02194
Publikováno v:
Computer. 53:16-25
Major software tools for distributed-data analysis, such as MapReduce and Spark, examine data items on separate disks by streaming them into memory. We contrast data streaming against an agent-based approach that moves analyzing units through distrib
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c743391379d15ba77fa8954ad0f0a50c
https://doi.org/10.1109/mc.2019.2932964
https://doi.org/10.1109/mc.2019.2932964
Autor:
Ulas Gulec, Murat Yilmaz, Kaan Kalan, Hasan Saygin Dikbayir, Ogulcan Merdivanli, Utku Mert Degirmenci, Paul M. Clarke
Publikováno v:
2021 15th Turkish National Software Engineering Symposium (UYMS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b77f5314577c99cd6c94f6e3989e19f
https://doi.org/10.1109/uyms54260.2021.9659778
https://doi.org/10.1109/uyms54260.2021.9659778
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030242985
PAAMS (Workshops)
PAAMS (Workshops)
The current trend for parallelizing scalable graph analysis is to use major big-data tools such as MapReduce, Spark/GraphX, and Storm. Each programming framework uses graph analysis strategies based on either (1) message passing among graph vertices
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74c91f9165e94c13972c7edb9f168321
https://doi.org/10.1007/978-3-030-24299-2_1
https://doi.org/10.1007/978-3-030-24299-2_1