受强制性开放获取政策约束的文章 - Shahram Khadivi了解详情
可在其他位置公开访问的文章：5 篇
Can data diversity enhance learning generalization?
Y Yu, S Khadivi, J Xu
Proceedings of the 29th international conference on computational …, 2022
强制性开放获取政策： US National Science Foundation
Domain generalisation of NMT: Fusing adapters with leave-one-domain-out training
TT Vu, S Khadivi, D Phung, G Haffari
Annual Meeting of the Association of Computational Linguistics 2022, 582-588, 2022
强制性开放获取政策： US Department of Defense, Australian Research Council
Energy-based Self-Training and Normalization for Unsupervised Domain Adaptation
S Herath, B Fernando, E Abbasnejad, M Hayat, S Khadivi, M Harandi, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
强制性开放获取政策： US Department of Defense, Australian Research Council, National Research …
Topic adaptation for machine translation of e-commerce content
P Mathur, M Federico, K Sharam, S Hassan
Proceedings of MT Summit XV 1, 270-281, 2015
强制性开放获取政策： European Commission
Probabilistic Robustness for Data Filtering
Y Yu, AR Khan, S Khadivi, J Xu
Proceedings of the 17th Conference of the European Chapter of the …, 2023
强制性开放获取政策： US National Science Foundation
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