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1 Ergebnisse
1
Generating Adversarial Examples for Low-Resource NMT via Mu..:
, In:
2022 IEEE 34th International Conference on Tools with Artificial Intelligence (ICTAI)
,
Sun, Shuo
;
Hou, Hong-xu
;
Yang, Zong-heng
.. - p. 1175-1180 , 2022
Link:
https://doi.org/10.1109/ICTAI56018.2022.00179
RT T1 <cTitle>2022 IEEE 34th International Conference on Tools with Artificial Intelligence (ICTAI)</cTitle>: T1 <Title>Generating Adversarial Examples for Low-Resource NMT via Multi-Reward Reinforcement Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10097974&Exemplar=1&LAN=DE A1 Sun, Shuo A1 Hou, Hong-xu A1 Yang, Zong-heng A1 Wang, Yi-song A1 Wu, Ni-er YR 2022 SN 2375-0197 K1 Training K1 Degradation K1 Adaptation models K1 Semantics K1 Reinforcement learning K1 Manuals K1 Robustness K1 Low-Resource NMT K1 Adversarial Example K1 Multi-Reward Reinforcement Learning SP 1175 OP 1180 LK http://dx.doi.org/https://doi.org/10.1109/ICTAI56018.2022.00179 DO https://doi.org/10.1109/ICTAI56018.2022.00179 SF ELIB - SuUB Bremen
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