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pro vyhledávání: '"Paul Soulos"'
Autor:
Paul Soulos, Leyla Isik
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 2, p e1011887 (2024)
Despite decades of research, much is still unknown about the computations carried out in the human face processing network. Recently, deep networks have been proposed as a computational account of human visual processing, but while they provide a goo
Externí odkaz:
https://doaj.org/article/9dbeb72635464a629d7e3fa4382ee563
Autor:
Paul Soulos, Leyla Isik
Despite decades of research, much is still unknown about the computations carried out in the human face processing network. Recently deep networks have been proposed as a computational account of human visual processing, but while they provide a good
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::231e7af140eafd214e16b2fbf0f56f1d
https://doi.org/10.1101/2023.02.15.528489
https://doi.org/10.1101/2023.02.15.528489
Autor:
Paul Soulos, Leyla Isik
Publikováno v:
2022 Conference on Cognitive Computational Neuroscience.
Autor:
Jianfeng Gao, Paul Smolensky, Asli Celikyilmaz, Yichen Jiang, Caitlin Smith, Mohit Bansal, Sudha Rao, Paul Soulos, Hamid Palangi, Roland Fernandez
Publikováno v:
NAACL-HLT
ive summarization, the task of generating a concise summary of input documents, requires: (1) reasoning over the source document to determine the salient pieces of information scattered across the long document, and (2) composing a cohesive text by r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02c0746e192f82c6fb2c4cc75ffaccbc
Publikováno v:
BlackboxNLP@EMNLP
How can neural networks perform so well on compositional tasks even though they lack explicit compositional representations? We use a novel analysis technique called ROLE to show that recurrent neural networks perform well on such tasks by converging
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::013c8d00066ee3c0c3338714140e43b7
Publikováno v:
Journal of Vision. 19:60a