Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Christopher, De Sa"'
We explore Boccaccio's Decameron to see how digital humanities tools can be used for tasks that have limited data in a language no longer in contemporary use: medieval Italian. We focus our analysis on the question: Do the different storytellers in t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8ec6ed26cbe03c05ed5da75c43b0f19
http://arxiv.org/abs/2109.10506
http://arxiv.org/abs/2109.10506
Publikováno v:
ACM SIGOPS Operating Systems Review. 53:7-13
Deploying machine learning into IoT cloud settings will require an evolution of the cloud infrastructure. In this white paper, we justify this assertion and identify new capabilities needed for real-time intelligent systems. We also outline our initi
Publikováno v:
EAAMO
Trade-offs between accuracy and efficiency pervade law, public health, and other non-computing domains, which have developed policies to guide how to balance the two in conditions of uncertainty. While computer science also commonly studies accuracy-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfa77d58b0a9d6e296c6c7320314fde4
http://arxiv.org/abs/2007.02203
http://arxiv.org/abs/2007.02203
Publikováno v:
SSRN Electronic Journal.
In this paper we discuss the trade-off between accuracy and efficiency in distributed machine learning (ML) systems and analyze its resulting policy considerations. This trade-off is in fact quite common in multiple disciplines, including law and med
Autor:
Christopher De Sa, Jaeho Shin, Ce Zhang, Sen Wu, Christopher Ré, Alexander Ratner, Feiran Wang, Michael Cafarella
Publikováno v:
Communications of the ACM. 60:93-102
The dark data extraction or knowledge base construction (KBC) problem is to populate a relational database with information from unstructured data sources, such as emails, webpages, and PDFs. KBC is a long-standing problem in industry and research th
Publikováno v:
MICRO
This paper proposes a new fine-grained dynamic pruning technique for CNN inference, named channel gating, and presents an accelerator architecture that can effectively exploit the dynamic sparsity. Intuitively, channel gating identifies the regions i
Publikováno v:
EMC2@NeurIPS
Low-precision training reduces computational cost and produces efficient models. Recent research in developing new low-precision training algorithms often relies on simulation to empirically evaluate the statistical effects of quantization while avoi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b42b6e5768fb0f42db7966f566087eae
http://arxiv.org/abs/1910.04540
http://arxiv.org/abs/1910.04540
Publikováno v:
Proceedings of the ... Annual ACM-SIAM Symposium on Discrete Algorithms. ACM-SIAM Symposium on Discrete Algorithms. 2018
Matrix-vector multiplication is one of the most fundamental computing primitives. Given a matrix [Formula: see text] and a vector [Formula: see text] , it is known that in the worst case Θ(N(2)) operations over F are needed to compute Ab. Many types
Publikováno v:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2019.
We previously reported an elastomeric, optical foam sensor that can sense different types of deformation1 . The elastomeric foam is embedded with optical fibers that shine light into the foam while simultaneously transmitting scattered light exiting
Publikováno v:
The VLDB Journal. 26:81-105