| 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 | 126 | 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 | 112 | 2009 |
| Fully quantized transformer for machine translation G Prato, E Charlaix, M Rezagholizadeh arXiv preprint arXiv:1910.10485, 2019 | 69* | 2019 |
| Semi-supervised regression with generative adversarial networks for end to end learning in autonomous driving M Rezagholizadeh, MA Haidar | 56* | 2018 |
| 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 | 44 | 2021 |
| Textkd-gan: Text generation using knowledge distillation and generative adversarial networks MA Haidar, M Rezagholizadeh Canadian Conference on Artificial Intelligence, 107-118, 2019 | 44 | 2019 |
| Annealing knowledge distillation A Jafari, M Rezagholizadeh, P Sharma, A Ghodsi arXiv preprint arXiv:2104.07163, 2021 | 32 | 2021 |
| Systems and methods for multilingual text generation field M Rezagholizadeh, MA Haidar, A Do-Omri, A Rashid US Patent 11,151,334, 2021 | 26* | 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 | 25 | 2021 |
| MATE-KD: Masked adversarial TExt, a companion to knowledge distillation A Rashid, V Lioutas, M Rezagholizadeh arXiv preprint arXiv:2105.05912, 2021 | 23 | 2021 |
| A simplified fully quantized transformer for end-to-end speech recognition A Bie, B Venkitesh, J Monteiro, M Haidar, M Rezagholizadeh arXiv preprint arXiv:1911.03604, 2019 | 23* | 2019 |
| A Retargeting Approach for Mesopic Vision: Simulation and Compensation M Rezagholizadeh, T Akhavan, A Soudi, H Kaufmann, JJ Clark Imaging Science and Technology 60 (1), 10410-1-10410, 2016 | 22* | 2016 |
| 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 | 21 | 2020 |
| 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 | 20* | 2019 |
| Towards zero-shot knowledge distillation for natural language processing A Rashid, V Lioutas, A Ghaddar, M Rezagholizadeh arXiv preprint arXiv:2012.15495, 2020 | 17 | 2020 |
| Salsa-text: self attentive latent space based adversarial text generation J Gagnon-Marchand, H Sadeghi, MA Haidar, M Rezagholizadeh Advances in Artificial Intelligence: 32nd Canadian Conference on Artificial …, 2019 | 16 | 2019 |
| 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 | 15 | 2021 |
| Edge-based and efficient chromaticity spatio-spectral models for color constancy M Rezagholizadeh, JJ Clark 2013 International Conference on Computer and Robot Vision, 188-195, 2013 | 14 | 2013 |
| End-to-end self-debiasing framework for robust NLU training A Ghaddar, P Langlais, M Rezagholizadeh, A Rashid arXiv preprint arXiv:2109.02071, 2021 | 13 | 2021 |
| Improving word embedding factorization for compression using distilled nonlinear neural decomposition V Lioutas, A Rashid, K Kumar, MA Haidar, M Rezagholizadeh arXiv preprint arXiv:1910.06720, 2019 | 12* | 2019 |
Md Akmal HaidarNuance CommunicationsVerified email at nuance.com
