Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Carlos Guestrin"'
Autor:
Dessi P. Zaharieva, Ransalu Senanayake, Conner Brown, Brendan Watkins, Glenn Loving, Priya Prahalad, Johannes O. Ferstad, Carlos Guestrin, Emily B. Fox, David M. Maahs, David Scheinker
Publikováno v:
Frontiers in Endocrinology, Vol 13 (2023)
Algorithm-enabled patient prioritization and remote patient monitoring (RPM) have been used to improve clinical workflows at Stanford and have been associated with improved glucose time-in-range in newly diagnosed youth with type 1 diabetes (T1D). Th
Externí odkaz:
https://doaj.org/article/7ef7b363944149c6b90ef7086f57b1c2
Publikováno v:
IJCAI
Although measuring held-out accuracy has been the primary approach to evaluate generalization, it often overestimates the performance of NLP models, while alternative approaches for evaluating models either focus on individual tasks or on specific be
Autor:
Eddie Yan, Josh Fromm, Luis Vega, Arvind Krishnamurthy, Thierry Moreau, Carlos Guestrin, Jared Roesch, Lianmin Zheng, Luis Ceze, Tianqi Chen, Ziheng Jiang
Publikováno v:
IEEE Micro. 39:8-16
This article describes the Versatile Tensor Accelerator (VTA), a programmable DL architecture designed to be extensible in the face of evolving workloads. VTA achieves “flexible specialization” via a parameterizable architecture, two-level Instru
Autor:
Joseph A Lewnard, Emily B. Fox, Carlos Guestrin, Andrew Miller, Nicholas P. Jewell, Nicholas J. Foti
Determining the impact of non-pharmaceutical interventions on transmission of the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is paramount for the design and deployment of effective public health policies. Incorporating Apple M
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d3bdfea5d6e235f77f5138a5f4c9986
https://doi.org/10.1101/2020.05.07.20094441
https://doi.org/10.1101/2020.05.07.20094441
Publikováno v:
ACL
Although measuring held-out accuracy has been the primary approach to evaluate generalization, it often overestimates the performance of NLP models, while alternative approaches for evaluating models either focus on individual tasks or on specific be
Autor:
Carlos Guestrin
Publikováno v:
MobiCom
Machine learning (ML) has had a tremendous impact in across the world over the last decade. As we think about ML solving complex tasks, sometimes at super-human levels, it is easy to forget that there is no machine learning without humans in the loop
Autor:
Michael R. Bastian, Kevin Lynch, Roman Holenstein, Shiwen Zhao, Brandon J. Newendorp, Heri Nieto, Krishna Sridhar, Shawn Scully, Tim Paek, Carlos Guestrin, Sethu Raman, Minwoo Jeong, Westing Brandt M
Publikováno v:
KDD
The two most common ways to activate intelligent voice assistants (IVAs) are button presses and trigger phrases. This paper describes a new way to invoke IVAs on smartwatches: simply raise your hand and speak naturally. To achieve this experience, we
Autor:
Carlos Guestrin
Publikováno v:
KDD
Machine learning (ML) has had a tremendous impact in across the world over the last decade. As we think about ML solving complex tasks, sometimes at super-human levels, it is easy to forget that there is no machine learning without humans in the loop
Autor:
Kayur Patel, Andrew D. Trister, Carlos Guestrin, Mitchell Gordon, Jeffrey P. Bigham, Leon A. Gatys
Publikováno v:
CHI
We have limited understanding of how older adults use smartphones, how their usage differs from younger users, and the causes for those differences. As a result, researchers and developers may miss promising opportunities to support older adults or o
Publikováno v:
ACL (1)
Although current evaluation of question-answering systems treats predictions in isolation, we need to consider the relationship between predictions to measure true understanding. A model should be penalized for answering “no” to “Is the rose re