Zobrazeno 1 - 10
of 103
pro vyhledávání: '"Gedik, Buğra"'
Autor:
Singh, Mannat, Gustafson, Laura, Adcock, Aaron, Reis, Vinicius de Freitas, Gedik, Bugra, Kosaraju, Raj Prateek, Mahajan, Dhruv, Girshick, Ross, Dollár, Piotr, van der Maaten, Laurens
Model pre-training is a cornerstone of modern visual recognition systems. Although fully supervised pre-training on datasets like ImageNet is still the de-facto standard, recent studies suggest that large-scale weakly supervised pre-training can outp
Externí odkaz:
http://arxiv.org/abs/2201.08371
Autor:
Zhao, Mark, Agarwal, Niket, Basant, Aarti, Gedik, Bugra, Pan, Satadru, Ozdal, Mustafa, Komuravelli, Rakesh, Pan, Jerry, Bao, Tianshu, Lu, Haowei, Narayanan, Sundaram, Langman, Jack, Wilfong, Kevin, Rastogi, Harsha, Wu, Carole-Jean, Kozyrakis, Christos, Pol, Parik
Datacenter-scale AI training clusters consisting of thousands of domain-specific accelerators (DSA) are used to train increasingly-complex deep learning models. These clusters rely on a data storage and ingestion (DSI) pipeline, responsible for stori
Externí odkaz:
http://arxiv.org/abs/2108.09373
We present a scalable solution to link entities across mobility datasets using their spatio-temporal information. This is a fundamental problem in many applications such as linking user identities for security, understanding privacy limitations of lo
Externí odkaz:
http://arxiv.org/abs/2004.05951
Faster and more cost-efficient, crowdsourced delivery is needed to meet the growing customer demands of many industries, including online shopping, on-demand local delivery, and on-demand transportation. The power of crowdsourced delivery stems from
Externí odkaz:
http://arxiv.org/abs/1807.02987
Publikováno v:
F. Bas{\i}k, B. Gedik, \c{C}. Etemo\u{g}lu and H. Ferhatosmano\u{g}lu, "Spatio-Temporal Linkage over Location-Enhanced Services," in IEEE Transactions on Mobile Computing, vol. 17, no. 2, pp. 447-460, Feb. 1 2018
We are witnessing an enormous growth in the volume of data generated by various online services. An important portion of this data contains geographic references, since many of these services are \emph{location-enhanced} and thus produce spatio-tempo
Externí odkaz:
http://arxiv.org/abs/1801.04101
Autor:
Bingöl, Kaan, Eravcı, Bahaeddin, Etemoğlu, Çağrı Özgenç, Ferhatosmanoğlu, Hakan, Gedik, Buğra
As social networks are constantly changing and evolving, methods to analyze dynamic social networks are becoming more important in understanding social trends. However, due to the restrictions imposed by the social network service providers, the reso
Externí odkaz:
http://arxiv.org/abs/1801.02198
Autor:
Kahveci, Basri, Gedik, Buğra
Publikováno v:
In Journal of Parallel and Distributed Computing March 2020 137:205-223
Publikováno v:
Proceedings of the VLDB Endowment (PVLDB), Vol. 5, No. 12, pp. 1826-1837 (2012)
Stream processing applications are deployed as continuous queries that run from the time of their submission until their cancellation. This deployment mode limits developers who need their applications to perform runtime adaptation, such as algorithm
Externí odkaz:
http://arxiv.org/abs/1208.4176
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