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 | 182 | 2019 |
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 | 116 | 2009 |
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 | 101 | 2021 |
Fully quantized transformer for machine translation G Prato, E Charlaix, M Rezagholizadeh arXiv preprint arXiv:1910.10485, 2019 | 97* | 2019 |
Semi-supervised regression with generative adversarial networks for end to end learning in autonomous driving M Rezagholizadeh, MA Haidar | 78* | 2018 |
Textkd-gan: Text generation using knowledge distillation and generative adversarial networks MA Haidar, M Rezagholizadeh Canadian Conference on Artificial Intelligence, 107-118, 2019 | 71 | 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 | 70 | 2022 |
Annealing knowledge distillation A Jafari, M Rezagholizadeh, P Sharma, A Ghodsi arXiv preprint arXiv:2104.07163, 2021 | 63 | 2021 |
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 | 56* | 2022 |
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 | 55 | 2022 |
Systems and methods for multilingual text generation field M Rezagholizadeh, MA Haidar, A Do-Omri, A Rashid US Patent 11,151,334, 2021 | 45* | 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 | 40 | 2021 |
Mate-kd: Masked adversarial text, a companion to knowledge distillation A Rashid, V Lioutas, M Rezagholizadeh arXiv preprint arXiv:2105.05912, 2021 | 32 | 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 | 32* | 2019 |
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 | 32* | 2019 |
End-to-end self-debiasing framework for robust NLU training A Ghaddar, P Langlais, M Rezagholizadeh, A Rashid arXiv preprint arXiv:2109.02071, 2021 | 29 | 2021 |
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 | 28 | 2020 |
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 | 26* | 2022 |
Kronecker decomposition for gpt compression A Edalati, M Tahaei, A Rashid, VP Nia, JJ Clark, M Rezagholizadeh arXiv preprint arXiv:2110.08152, 2021 | 25 | 2021 |
Self-training method and system for semi-supervised learning with generative adversarial networks D Wu, MA Haidar, M Rezagholizadeh, A Do-Omri US Patent 11,120,337, 2021 | 22 | 2021 |