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pro vyhledávání: '"Kelsey Sikes"'
Autor:
William Pickard, Kelsey Sikes, Huma Jamil, Nicholas Chaffee, Nathaniel Blanchard, Michael Kirby, Chris Peterson
Publikováno v:
Frontiers in Computer Science, Vol 5 (2023)
Artificial neural networks (ANNs) are sensitive to perturbations and adversarial attacks. One hypothesized solution to adversarial robustness is to align manifolds in the embedded space of neural networks with biologically grounded manifolds. Recent
Externí odkaz:
https://doaj.org/article/3fad801f4afb40c282d0a0e5ad15cef2
Autor:
Ibrahim Khebour, Richard Brutti, Indrani Dey, Rachel Dickler, Kelsey Sikes, Kenneth Lai, Mariah Bradford, Brittany Cates, Paige Hansen, Changsoo Jung, Brett Wisniewski, Corbyn Terpstra, Leanne Hirshfield, Sadhana Puntambekar, Nathaniel Blanchard, James Pustejovsky, Nikhil Krishnaswamy
Publikováno v:
Journal of Open Humanities Data, Vol 10, Pp 7-7 (2024)
To adequately model information exchanged in real human-human interactions, considering speech or text alone leaves out many critical modalities. The channels contributing to the “making of sense” in human-human interactions include but are not l
Externí odkaz:
https://doaj.org/article/9ef46dac551c4ca5b7706fe2295eec64