| Dynet: The dynamic neural network toolkit G Neubig, C Dyer, Y Goldberg, A Matthews, W Ammar, A Anastasopoulos, ... arXiv preprint arXiv:1701.03980, 2017 | 430* | 2017 |
| Choosing transfer languages for cross-lingual learning YH Lin, CY Chen, J Lee, Z Li, Y Zhang, M Xia, S Rijhwani, J He, Z Zhang, ... arXiv preprint arXiv:1905.12688, 2019 | 179 | 2019 |
| Tied multitask learning for neural speech translation A Anastasopoulos, D Chiang arXiv preprint arXiv:1802.06655, 2018 | 165 | 2018 |
| An attentional model for speech translation without transcription L Duong, A Anastasopoulos, D Chiang, S Bird, T Cohn Proceedings of the 2016 Conference of the North American Chapter of the …, 2016 | 156 | 2016 |
| Universal phone recognition with a multilingual allophone system X Li, S Dalmia, J Li, M Lee, P Littell, J Yao, A Anastasopoulos, ... ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 102 | 2020 |
| Investigating meta-learning algorithms for low-resource natural language understanding tasks ZY Dou, K Yu, A Anastasopoulos arXiv preprint arXiv:1908.10423, 2019 | 99 | 2019 |
| Generalized data augmentation for low-resource translation M Xia, X Kong, A Anastasopoulos, G Neubig arXiv preprint arXiv:1906.03785, 2019 | 96 | 2019 |
| X-FACTR: Multilingual factual knowledge retrieval from pretrained language models Z Jiang, A Anastasopoulos, J Araki, H Ding, G Neubig arXiv preprint arXiv:2010.06189, 2020 | 86 | 2020 |
| When being unseen from mBERT is just the beginning: Handling new languages with multilingual language models B Muller, A Anastasopoulos, B Sagot, D Seddah arXiv preprint arXiv:2010.12858, 2020 | 84 | 2020 |
| Findings of the IWSLT 2022 Evaluation Campaign. A Antonios, B Loc, L Bentivogli, MZ Boito, B Ondřej, R Cattoni, C Anna, ... Proceedings of the 19th International Conference on Spoken Language …, 2022 | 68 | 2022 |
| Systematic Inequalities in Language Technology Performance across the World's Languages D Blasi, A Anastasopoulos, G Neubig arXiv preprint arXiv:2110.06733, 2021 | 67 | 2021 |
| Pushing the limits of low-resource morphological inflection A Anastasopoulos, G Neubig arXiv preprint arXiv:1908.05838, 2019 | 63 | 2019 |
| Findings of the first shared task on machine translation robustness X Li, P Michel, A Anastasopoulos, Y Belinkov, N Durrani, O Firat, P Koehn, ... arXiv preprint arXiv:1906.11943, 2019 | 62 | 2019 |
| TICO-19: the translation initiative for COvid-19 A Anastasopoulos, A Cattelan, ZY Dou, M Federico, C Federman, ... arXiv preprint arXiv:2007.01788, 2020 | 59 | 2020 |
| SIGMORPHON 2020 shared task 0: Typologically diverse morphological inflection E Vylomova, J White, E Salesky, SJ Mielke, S Wu, E Ponti, RH Maudslay, ... arXiv preprint arXiv:2006.11572, 2020 | 54 | 2020 |
| Freezing subnetworks to analyze domain adaptation in neural machine translation B Thompson, H Khayrallah, A Anastasopoulos, AD McCarthy, K Duh, ... arXiv preprint arXiv:1809.05218, 2018 | 52 | 2018 |
| Optimizing data usage via differentiable rewards X Wang, H Pham, P Michel, A Anastasopoulos, J Carbonell, G Neubig International Conference on Machine Learning, 9983-9995, 2020 | 43 | 2020 |
| Dynamic data selection and weighting for iterative back-translation ZY Dou, A Anastasopoulos, G Neubig arXiv preprint arXiv:2004.03672, 2020 | 43 | 2020 |
| Predicting performance for natural language processing tasks M Xia, A Anastasopoulos, R Xu, Y Yang, G Neubig arXiv preprint arXiv:2005.00870, 2020 | 38 | 2020 |
| Neural language modeling with visual features A Anastasopoulos, S Kumar, H Liao arXiv preprint arXiv:1903.02930, 2019 | 33 | 2019 |
Graham NeubigCarnegie Mellon UniversityVerified email at cs.cmu.edu
