| EditNTS: An neural programmer-interpreter model for sentence simplification through explicit editing Y Dong, Z Li, M Rezagholizadeh, JCK Cheung Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 190 | 2019 |
| Dylora: Parameter efficient tuning of pre-trained models using dynamic search-free low-rank adaptation M Valipour, M Rezagholizadeh, I Kobyzev, A Ghodsi arXiv preprint arXiv:2210.07558, 2022 | 131 | 2022 |
| Alp-kd: Attention-based layer projection for knowledge distillation P Passban, Y Wu, M Rezagholizadeh, Q Liu Proceedings of the AAAI Conference on artificial intelligence 35 (15), 13657 …, 2021 | 119 | 2021 |
| A computer tracking system of solar dish with two-axis degree freedoms based on picture processing of bar shadow H Arbab, B Jazi, M Rezagholizadeh Renewable Energy 34 (4), 1114-1118, 2009 | 119 | 2009 |
| Fully quantized transformer for machine translation G Prato, E Charlaix, M Rezagholizadeh arXiv preprint arXiv:1910.10485, 2019 | 107* | 2019 |
| Krona: Parameter efficient tuning with kronecker adapter A Edalati, M Tahaei, I Kobyzev, VP Nia, JJ Clark, M Rezagholizadeh arXiv preprint arXiv:2212.10650, 2022 | 99 | 2022 |
| Making a miracl: Multilingual information retrieval across a continuum of languages X Zhang, N Thakur, O Ogundepo, E Kamalloo, D Alfonso-Hermelo, X Li, ... arXiv preprint arXiv:2210.09984, 2022 | 95* | 2022 |
| Semi-supervised regression with generative adversarial networks for end to end learning in autonomous driving M Rezagholizadeh, MA Haidar | 89* | 2018 |
| Textkd-gan: Text generation using knowledge distillation and generative adversarial networks MA Haidar, M Rezagholizadeh Canadian Conference on Artificial Intelligence, 107-118, 2019 | 81 | 2019 |
| Annealing knowledge distillation A Jafari, M Rezagholizadeh, P Sharma, A Ghodsi arXiv preprint arXiv:2104.07163, 2021 | 74 | 2021 |
| Systems and methods for multilingual text generation field M Rezagholizadeh, MA Haidar, A Do-Omri, A Rashid US Patent 11,151,334, 2021 | 47* | 2021 |
| Context-aware adversarial training for name regularity bias in named entity recognition A Ghaddar, P Langlais, A Rashid, M Rezagholizadeh Transactions of the Association for Computational Linguistics 9, 586-604, 2021 | 43 | 2021 |
| KroneckerBERT: Significant compression of pre-trained language models through kronecker decomposition and knowledge distillation M Tahaei, E Charlaix, V Nia, A Ghodsi, M Rezagholizadeh Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 36* | 2022 |
| Mate-kd: Masked adversarial text, a companion to knowledge distillation A Rashid, V Lioutas, M Rezagholizadeh arXiv preprint arXiv:2105.05912, 2021 | 36 | 2021 |
| A simplified fully quantized transformer for end-to-end speech recognition A Bie, B Venkitesh, J Monteiro, MA Haidar, M Rezagholizadeh arXiv preprint arXiv:1911.03604, 2019 | 36* | 2019 |
| Kronecker decomposition for gpt compression A Edalati, M Tahaei, A Rashid, VP Nia, JJ Clark, M Rezagholizadeh arXiv preprint arXiv:2110.08152, 2021 | 33 | 2021 |
| End-to-end self-debiasing framework for robust NLU training A Ghaddar, P Langlais, M Rezagholizadeh, A Rashid arXiv preprint arXiv:2109.02071, 2021 | 33 | 2021 |
| Latent code and text-based generative adversarial networks for soft-text generation M Haidar, M Rezagholizadeh, A Do-Omri, A Rashid Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 33* | 2019 |
| Revisiting pre-trained language models and their evaluation for arabic natural language understanding A Ghaddar, Y Wu, S Bagga, A Rashid, K Bibi, M Rezagholizadeh, C Xing, ... arXiv preprint arXiv:2205.10687, 2022 | 30* | 2022 |
| Why skip if you can combine: A simple knowledge distillation technique for intermediate layers Y Wu, P Passban, M Rezagholizade, Q Liu arXiv preprint arXiv:2010.03034, 2020 | 30 | 2020 |
Ahmad RashidVector Institute; University of Waterloo在 uwaterloo.ca 的电子邮件经过验证
