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pro vyhledávání: '"Dutta, Shiladitya"'
Foundation models are trained on vast amounts of data at scale using self-supervised learning, enabling adaptation to a wide range of downstream tasks. At test time, these models exhibit zero-shot capabilities through which they can classify previous
Externí odkaz:
http://arxiv.org/abs/2310.09926
Autor:
Taswell, S. Koby1, Uhegbu, Kelechi1, Mashkoor, Sohyb1, Dutta, Shiladitya1, Taswell, Carl1 ctaswell@BrainHealthAlliance.org
Publikováno v:
Proceedings of the Association for Information Science & Technology. Oct2020, Vol. 57 Issue 1, p1-4. 4p.
Autor:
Taswell, S. Koby1, Triggle, Christopher2, Vayo, June3, Dutta, Shiladitya1, Taswell, Carl1 ctaswell@BrainHealthAlliance.org
Publikováno v:
Proceedings of the Association for Information Science & Technology. Oct2020, Vol. 57 Issue 1, p1-10. 10p.
Autor:
Craig, Adam1 acraig@bhavi.us, Ambati, Adarsh1 aambati@bhavi.us, Dutta, Shiladitya1 sdutta@bhavi.us, Mehrotra, Arush1 amerotra@bhavi.us, Taswell, S. Koby1 ktaswell@bhavi.us, Taswell, Carl1 ctaswell@brainhealthalliance.org
Publikováno v:
Proceedings of the Association for Information Science & Technology. 2019, Vol. 56 Issue 1, p51-57. 7p.