| Llama 2: Open foundation and fine-tuned chat models H Touvron, L Martin, K Stone, P Albert, A Almahairi, Y Babaei, ... arXiv preprint arXiv:2307.09288, 2023 | 6188 | 2023 |
| Theano: A Python framework for fast computation of mathematical expressions R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... arXiv e-prints, arXiv: 1605.02688, 2016 | 916 | 2016 |
| Augmented cyclegan: Learning many-to-many mappings from unpaired data A Almahairi, S Rajeshwar, A Sordoni, P Bachman, A Courville International conference on machine learning, 195-204, 2018 | 502 | 2018 |
| Theano: A Python framework for fast computation of mathematical expressions TTD Team, R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, ... arXiv preprint arXiv:1605.02688, 2016 | 212 | 2016 |
| Unsupervised learning of dense visual representations PO O Pinheiro, A Almahairi, R Benmalek, F Golemo, AC Courville Advances in Neural Information Processing Systems 33, 4489-4500, 2020 | 190 | 2020 |
| Learning distributed representations from reviews for collaborative filtering A Almahairi, K Kastner, K Cho, A Courville Proceedings of the 9th ACM Conference on Recommender Systems, 147-154, 2015 | 137 | 2015 |
| Dynamic capacity networks A Almahairi, N Ballas, T Cooijmans, Y Zheng, H Larochelle, A Courville International conference on machine learning, 2549-2558, 2016 | 134 | 2016 |
| Unipelt: A unified framework for parameter-efficient language model tuning Y Mao, L Mathias, R Hou, A Almahairi, H Ma, J Han, W Yih, M Khabsa arXiv preprint arXiv:2110.07577, 2021 | 127 | 2021 |
| Calibrating energy-based generative adversarial networks Z Dai, A Almahairi, P Bachman, E Hovy, A Courville arXiv preprint arXiv:1702.01691, 2017 | 110 | 2017 |
| A closer look at the optimization landscapes of generative adversarial networks H Berard, G Gidel, A Almahairi, P Vincent, S Lacoste-Julien arXiv preprint arXiv:1906.04848, 2019 | 74 | 2019 |
| Progressive prompts: Continual learning for language models A Razdaibiedina, Y Mao, R Hou, M Khabsa, M Lewis, A Almahairi arXiv preprint arXiv:2301.12314, 2023 | 71 | 2023 |
| First result on Arabic neural machine translation A Almahairi, K Cho, N Habash, A Courville arXiv preprint arXiv:1606.02680, 2016 | 62 | 2016 |
| Llama 2: open foundation and fine-tuned chat models. arXiv H Touvron, L Martin, K Stone, P Albert, A Almahairi, Y Babaei, ... arXiv preprint arXiv:2307.09288, 2023 | 55 | 2023 |
| Llama 2: Open foundation and fine-tuned chat models. arXiv 2023 H Touvron, L Martin, K Stone, P Albert, A Almahairi, Y Babaei, ... arXiv preprint arXiv:2307.09288, 0 | 55 | |
| The impact of preprocessing on Arabic-English statistical and neural machine translation M Oudah, A Almahairi, N Habash arXiv preprint arXiv:1906.11751, 2019 | 49 | 2019 |
| Theano: A Python framework for fast computation of mathematical expressions. arXiv R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... arXiv preprint arXiv:1605.02688 10, 2016 | 49 | 2016 |
| Harm de Vries, David Warde-Farley, Dustin J R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, and …, 2016 | 30 | 2016 |
| Theano: A Python framework for fast computation of mathematical expressions. arXiv e-prints, abs/1605.02688 R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... URL http://arxiv. org/abs/1605.02688, 2016 | 23 | 2016 |
| Residual prompt tuning: Improving prompt tuning with residual reparameterization A Razdaibiedina, Y Mao, R Hou, M Khabsa, M Lewis, J Ba, A Almahairi arXiv preprint arXiv:2305.03937, 2023 | 20 | 2023 |
| Adversarial computation of optimal transport maps J Leygonie, J She, A Almahairi, S Rajeswar, A Courville arXiv preprint arXiv:1906.09691, 2019 | 18 | 2019 |
Aaron CourvilleProfessor, DIRO, Université de Montréal, Mila, Cifar CAI chair在 umontreal.ca 的电子邮件经过验证
