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pro vyhledávání: '"Talbot, Morgan B."'
The currently leading artificial neural network (ANN) models of the visual ventral stream -- which are derived from a combination of performance optimization and robustification methods -- have demonstrated a remarkable degree of behavioral alignment
Externí odkaz:
http://arxiv.org/abs/2412.09765
Comorbid anxiety disorders are common among patients with major depressive disorder (MDD), and numerous studies have identified an association between comorbid anxiety and resistance to pharmacological depression treatment. However, less is known reg
Externí odkaz:
http://arxiv.org/abs/2409.11183
Our brains extract durable, generalizable knowledge from transient experiences of the world. Artificial neural networks come nowhere close to this ability. When tasked with learning to classify objects by training on non-repeating video frames in tem
Externí odkaz:
http://arxiv.org/abs/2104.02206
Akademický článek
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Autor:
Singh P; Nanyang Technological University (NTU), Singapore.; CFAR and I2R, Agency for Science, Technology and Research, Singapore., Li Y; CFAR and I2R, Agency for Science, Technology and Research, Singapore.; University of Wisconsin-Madison, USA., Sikarwar A; Nanyang Technological University (NTU), Singapore.; CFAR and I2R, Agency for Science, Technology and Research, Singapore., Lei W; Show Lab, National University of Singapore, Singapore., Gao D; Show Lab, National University of Singapore, Singapore., Talbot MB; Boston Children's Hospital, Harvard Medical School, USA.; Harvard-MIT Health Sciences and Technology, MIT., Sun Y; CFAR and I2R, Agency for Science, Technology and Research, Singapore., Shou MZ; Show Lab, National University of Singapore, Singapore., Kreiman G; Boston Children's Hospital, Harvard Medical School, USA., Zhang M; Nanyang Technological University (NTU), Singapore.; CFAR and I2R, Agency for Science, Technology and Research, Singapore.
Publikováno v:
... IEEE International Conference on Computer Vision workshops. IEEE International Conference on Computer Vision [IEEE Int Conf Comput Vis Workshops] 2023 Oct; Vol. 2023, pp. 11674-11685. Date of Electronic Publication: 2024 Jan 15.
