| What do Neural Machine Translation Models Learn about Morphology? Y Belinkov, N Durrani, F Dalvi, H Sajjad, J Glass arXiv preprint arXiv:1704.03471, 2017 | 449 | 2017 |
| Fighting the COVID-19 infodemic: modeling the perspective of journalists, fact-checkers, social media platforms, policy makers, and the society F Alam, S Shaar, F Dalvi, H Sajjad, A Nikolov, H Mubarak, GDS Martino, ... arXiv preprint arXiv:2005.00033, 2020 | 276* | 2020 |
| Identifying and Controlling Important Neurons in Neural Machine Translation A Bau, Y Belinkov, H Sajjad, N Durrani, F Dalvi, J Glass arXiv preprint arXiv:1811.01157, 2018 | 198 | 2018 |
| What is one grain of sand in the desert? analyzing individual neurons in deep nlp models F Dalvi, N Durrani, H Sajjad, Y Belinkov, A Bau, J Glass Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6309-6317, 2019 | 190 | 2019 |
| Findings of the IWSLT 2020 Evaluation Campaign E Ansari, A Axelrod, N Bach, O Bojar, R Cattoni, F Dalvi, N Durrani, ... Proceedings of the 17th International Conference on Spoken Language …, 2020 | 131 | 2020 |
| Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging Tasks Y Belinkov, L Màrquez, H Sajjad, N Durrani, F Dalvi, J Glass Proceedings of the Eighth International Joint Conference on Natural Language …, 2017 | 126 | 2017 |
| On the effect of dropping layers of pre-trained transformer models H Sajjad, F Dalvi, N Durrani, P Nakov Computer Speech & Language 77, 101429, 2023 | 112 | 2023 |
| Poor man’s bert: Smaller and faster transformer models H Sajjad, F Dalvi, N Durrani, P Nakov arXiv preprint arXiv:2004.03844 2 (2), 2020 | 111 | 2020 |
| Incremental Decoding and Training Methods for Simultaneous Translation in Neural Machine Translation F Dalvi, N Durrani, H Sajjad, S Vogel Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 106 | 2018 |
| Analyzing Individual Neurons in Pre-trained Language Models N Durrani, H Sajjad, F Dalvi, Y Belinkov arXiv preprint arXiv:2010.02695, 2020 | 98 | 2020 |
| Analyzing redundancy in pretrained transformer models F Dalvi, H Sajjad, N Durrani, Y Belinkov arXiv preprint arXiv:2004.04010, 2020 | 92 | 2020 |
| Similarity Analysis of Contextual Word Representation Models JM Wu, Y Belinkov, H Sajjad, N Durrani, F Dalvi, J Glass arXiv preprint arXiv:2005.01172, 2020 | 80 | 2020 |
| On the Linguistic Representational Power of Neural Machine Translation Models Y Belinkov, N Durrani, F Dalvi, H Sajjad, J Glass Computational Linguistics 46 (1), 1-52, 2020 | 75 | 2020 |
| Understanding and Improving Morphological Learning in the Neural Machine Translation Decoder F Dalvi, N Durrani, H Sajjad, Y Belinkov, S Vogel Proceedings of the Eighth International Joint Conference on Natural Language …, 2017 | 74 | 2017 |
| Neuron-level interpretation of deep nlp models: A survey H Sajjad, N Durrani, F Dalvi Transactions of the Association for Computational Linguistics 10, 1285-1303, 2022 | 66 | 2022 |
| Discovering Latent Concepts Learned in BERT F Dalvi, AR Khan, F Alam, N Durrani, J Xu, H Sajjad International Conference on Learning Representations, 2021 | 66 | 2021 |
| NeuroX: A toolkit for analyzing individual neurons in neural networks F Dalvi, A Nortonsmith, A Bau, Y Belinkov, H Sajjad, N Durrani, J Glass Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 9851-9852, 2019 | 66 | 2019 |
| Neural Machine Translation Training in a Multi-Domain Scenario H Sajjad, N Durrani, F Dalvi, Y Belinkov, S Vogel arXiv preprint arXiv:1708.08712, 2017 | 55 | 2017 |
| How transfer learning impacts linguistic knowledge in deep NLP models? N Durrani, H Sajjad, F Dalvi arXiv preprint arXiv:2105.15179, 2021 | 54 | 2021 |
| One Size Does Not Fit All: Comparing NMT Representations of Different Granularities N Durrani, F Dalvi, H Sajjad, Y Belinkov, P Nakov Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 51 | 2019 |
Nadir DurraniSenior Scientist, QCRI, HBKUVerified email at hbku.edu.qa
