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1 Ergebnisse
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Challenges of Self-Supervised Learning for Unified, Multi-M..:
, In:
2022 International Conference on Computational Science and Computational Intelligence (CSCI)
,
Annett, Graham
;
Andersen, Tim
;
Annett, Robert
- p. 293-297 , 2022
Link:
https://doi.org/10.1109/CSCI58124.2022.00056
RT T1
2022 International Conference on Computational Science and Computational Intelligence (CSCI)
: T1
Challenges of Self-Supervised Learning for Unified, Multi-Modal, Multi-Task Transformer Models
UL https://suche.suub.uni-bremen.de/peid=ieee-10216471&Exemplar=1&LAN=DE A1 Annett, Graham A1 Andersen, Tim A1 Annett, Robert YR 2022 SN 2769-5654 K1 Training K1 Scientific computing K1 Computational modeling K1 Self-supervised learning K1 Computer architecture K1 Transformers K1 Multitasking K1 multi-modal K1 multi-task K1 self-supervised learning SP 293 OP 297 LK http://dx.doi.org/https://doi.org/10.1109/CSCI58124.2022.00056 DO https://doi.org/10.1109/CSCI58124.2022.00056 SF ELIB - SuUB Bremen
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