Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Itay Hubara"'
Autor:
Philip P. Goodney, Mahmoud B. Malas, Besma Nejim, Itay Hubara, Caitlin W. Hicks, Devin S. Zarkowsky
Publikováno v:
Vascular and endovascular surgery, vol 55, iss 1
Vasc Endovascular Surg
Vasc Endovascular Surg
Objectives: We sought to develop a prediction score with data from the Vascular Quality Initiative (VQI) EVAR in efforts to assist endovascular specialists in deciding whether or not a patient is appropriate for short-stay discharge. Background: Smal
Publikováno v:
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
CVPR
CVPR
Large-batch SGD is important for scaling training of deep neural networks. However, without fine-tuning hyperparameter schedules, the generalization of the model may be hampered. We propose to use batch augmentation: replicating instances of samples
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd7a331ad6ebeb0aafcf53d8ac914245
https://hdl.handle.net/20.500.11850/462535
https://hdl.handle.net/20.500.11850/462535
Publikováno v:
CVPR
Background: Recently, an extensive amount of research has been focused on compressing and accelerating Deep Neural Networks (DNN). So far, high compression rate algorithms require part of the training dataset for a low precision calibration, or a fin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f79f0129962e88beb1816617b608da07
http://arxiv.org/abs/1912.01274
http://arxiv.org/abs/1912.01274
Publikováno v:
Semiconductor Science and Technology
Quantized neural networks (QNNs) are being actively researched as a solution for the computational complexity and memory intensity of deep neural networks. This has sparked efforts to develop algorithms that support both inference and training with q
Autor:
Mark Charlebois, Dave Fick, Sachin Satish Idgunji, Yuchen Zhou, Michael Thomson, Ashish Sirasao, George Yuan, Anton Lokhmotov, Koichi Yamada, Tom St. John, Bing Yu, Jeff Jiao, Arun Tejusve Raghunath Rajan, Paulius Micikevicius, Ephrem C. Wu, Francisco Massa, Carole-Jean Wu, Hanlin Tang, David Lee, William Chou, Frank Wei, Jared Duke, Cody Coleman, Sam Davis, Jeffery Liao, Itay Hubara, Dilip Sequeira, Lingjie Xu, Pan Deng, Vijay Janapa Reddi, Guenther Schmuelling, Gennady Pekhimenko, Maximilien Breughe, Peng Meng, Greg Diamos, David Kanter, Colin Osborne, Thomas B. Jablin, Peizhao Zhang, Fei Sun, Pankaj Kanwar, Ramesh Chukka, J. Scott Gardner, Aaron Zhong, Christine Cheng, Peter Mattson, Brian M. Anderson
Publikováno v:
ISCA
Machine-learning (ML) hardware and software system demand is burgeoning. Driven by ML applications, the number of different ML inference systems has exploded. Over 100 organizations are building ML inference chips, and the systems that incorporate ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a2417894de20d08d29ba667a4080f9a
Autor:
Caitlin W. Hicks, Devin S. Zarkowsky, Mahmoud B. Malas, Besma Nejim, Itay Hubara, Philip P. Goodney, Jade S. Hiramoto
Publikováno v:
Journal of the American College of Surgeons. 227:S286