| Investigating Backtranslation in Neural Machine Translation A Poncelas, D Shterionov, A Way, G Wenniger, P Passban arXiv, 2018 | 210* | 2018 |
| ALP-KD: Attention-Based Layer Projection for Knowledge Distillation P Passban, Y Wu, M Rezagholizadeh, Q Liu 35th AAAI Conference on Artificial Intelligence, 2021 | 117 | 2021 |
| Improving Character-based Decoding Using Target-Side Morphological Information for Neural Machine Translation P Passban, Q Liu, A Way The 16th Annual Conference of the North American Chapter of the Association …, 2018 | 39 | 2018 |
| Translating Low-Resource Languages by Vocabulary Adaptation from Close Counterparts P Passban, Q Liu, A Way ACM Transactions on Asian and Low-Resource Language Information Processing …, 2017 | 31 | 2017 |
| Why Skip If You Can Combine: A Simple Knowledge Distillation Technique for Intermediate Layers Y Wu, P Passban, M Rezagholizadeh, Q Liu The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020 | 30 | 2020 |
| Training mixed-domain translation models via federated learning P Passban, T Roosta, R Gupta, A Chadha, C Chung arXiv preprint arXiv:2205.01557, 2022 | 17 | 2022 |
| Not far away, not so close: Sample efficient nearest neighbour data augmentation via minimax E Kamalloo, M Rezagholizadeh, P Passban, A Ghodsi arXiv preprint arXiv:2105.13608, 2021 | 17 | 2021 |
| Boosting Neural POS Tagger for Farsi Using Morphological Information P Passban, Q Liu, A Way ACM Transactions on Asian and Low-Resource Language Information Processing …, 2016 | 14 | 2016 |
| Machine Translation of Morphologically Rich Languages Using Deep Neural Networks P Passban Dublin City University, School of Computing, 2018 | 11 | 2018 |
| Benchmarking SMT Performance for Farsi Using the TEP++ Corpus P Passban, A Way, Q Liu The 18th Annual Conference of the European Association for Machine …, 2015 | 11 | 2015 |
| Communication-efficient federated learning for neural machine translation T Roosta, P Passban, A Chadha arXiv preprint arXiv:2112.06135, 2021 | 10 | 2021 |
| Tailoring Neural Architectures for Translating from Morphologically Rich Languages P Passban, A Way, Q Liu COLING 2018, 2018 | 10 | 2018 |
| Revisiting Robust Neural Machine Translation: A Transformer Case Study P Passban, P Saladi, Q Liu | 8 | 2021 |
| Providing Morphological Information for SMT Using Neural Networks P Passban, Q Liu, A Way The 20th Annual Conference of the European Association for Machine …, 2017 | 8 | 2017 |
| Enriching Phrase Tables for Statistical Machine Translation Using Mixed Embeddings P Passban, Q Liu, A Way The 26th International Conference on Computational Linguistics (COLING), 2016 | 6 | 2016 |
| Improving Phrase-Based SMT Using Cross-Granularity Embedding Similarity P Passban, C Hokamp, A Way, Q Liu the 19th Annual Conference of the European Association for Machine …, 2016 | 6 | 2016 |
| Dynamic position encoding for transformers J Zheng, M Rezagholizadeh, P Passban arXiv preprint arXiv:2204.08142, 2022 | 5 | 2022 |
| Sketching Word Vectors Through Hashing B QasemiZadeh, L Kallmeyer, P Passban axiv, 2017 | 5 | 2017 |
| From fully trained to fully random embeddings: Improving neural machine translation with compact word embedding tables K Kumar, P Passban, M Rezagholizadeh, Y Lau, Q Liu Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 10930 …, 2022 | 4 | 2022 |
| Bilingual Distributed Phrase Representation for Statistical Machine Translation P Passban, C Hokamp, Q Liu MT SummitXV, 2015 | 4 | 2015 |
Qun LiuNoah's Ark Lab, Huawei在 huawei.com 的电子邮件经过验证
