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Noah Frazier-Logue
ORCID
Publication Activity (10 Years)
Years Active: 2017-2022
Publications (10 Years): 4
Top Topics
Weakly Supervised
Commonsense Reasoning
Unsupervised Feature Learning
Restricted Boltzmann Machine
Top Venues
Frontiers Neuroinformatics
CoRR
Artif. Intell.
Neural Comput.
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Publications
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Noah Frazier-Logue
,
Justin Wang
,
Zheng Wang
,
Devin Sodums
,
Anisha Khosla
,
Alexandria D. Samson
,
Anthony R. McIntosh
,
Kelly Shen
A Robust Modular Automated Neuroimaging Pipeline for Model Inputs to TheVirtualBrain.
Frontiers Neuroinformatics
16 (2022)
Noah Frazier-Logue
,
Stephen José Hanson
The Stochastic Delta Rule: Faster and More Accurate Deep Learning Through Adaptive Weight Noise.
Neural Comput.
32 (5) (2020)
Noah Frazier-Logue
,
Stephen José Hanson
Dropout is a special case of the stochastic delta rule: faster and more accurate deep learning.
CoRR
(2018)
Ernest Davis
,
Gary Marcus
,
Noah Frazier-Logue
Commonsense reasoning about containers using radically incomplete information.
Artif. Intell.
248 (2017)