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of 5
pro vyhledávání: '"Tacchetti, Andrea"'
Autor:
Kramár J; DeepMind, 6-8 Handyside Street, London, N1C 4UZ, UK., Eccles T; DeepMind, 6-8 Handyside Street, London, N1C 4UZ, UK., Gemp I; DeepMind, 6-8 Handyside Street, London, N1C 4UZ, UK., Tacchetti A; DeepMind, 6-8 Handyside Street, London, N1C 4UZ, UK., McKee KR; DeepMind, 6-8 Handyside Street, London, N1C 4UZ, UK., Malinowski M; DeepMind, 6-8 Handyside Street, London, N1C 4UZ, UK., Graepel T; Altos Labs, 2000 Bridge Parkway, Redwood City, CA, 94065, USA., Bachrach Y; DeepMind, 6-8 Handyside Street, London, N1C 4UZ, UK. yorambac@google.com.
Publikováno v:
Nature communications [Nat Commun] 2022 Dec 06; Vol. 13 (1), pp. 7214. Date of Electronic Publication: 2022 Dec 06.
Autor:
Koster R; Deepmind, London, UK., Balaguer J; Deepmind, London, UK., Tacchetti A; Deepmind, London, UK., Weinstein A; Deepmind, London, UK., Zhu T; Deepmind, London, UK., Hauser O; Department of Economics and Institute for Data Science and Artificial Intelligence, University of Exeter, Exeter, UK., Williams D; Deepmind, London, UK., Campbell-Gillingham L; Deepmind, London, UK., Thacker P; Deepmind, London, UK., Botvinick M; Deepmind, London, UK.; Gatsby Computational Neuroscience Unit, University College London, London, UK., Summerfield C; Deepmind, London, UK. csummerfield@deepmind.com.; Department of Experimental Psychology, University of Oxford, Oxford, UK. csummerfield@deepmind.com.
Publikováno v:
Nature human behaviour [Nat Hum Behav] 2022 Oct; Vol. 6 (10), pp. 1398-1407. Date of Electronic Publication: 2022 Jul 04.
Publikováno v:
PLoS Computational Biology. 12/18/2017, Vol. 13 Issue 12, p1-20. 20p. 1 Color Photograph, 3 Diagrams, 3 Graphs.
Publikováno v:
PLoS Computational Biology, Vol 13, Iss 12, p e1005859 (2017)
PLoS Computational Biology
PLoS
PLoS Computational Biology
PLoS
Recognizing the actions of others from visual stimuli is a crucial aspect of human perception that allows individuals to respond to social cues. Humans are able to discriminate between similar actions despite transformations, like changes in viewpoin
Publikováno v:
arXiv
The present phase of Machine Learning is characterized by supervised learning algorithms relying on large sets of labeled examples (n → ∞). The next phase is likely to focus on algorithms capable of learning from very few labeled examples (n →
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79cb2a11fd706906990adf41973609a9
https://orcid.org/0000-0002-3153-916X
https://orcid.org/0000-0002-3153-916X