| Probing the need for visual context in multimodal machine translation O Caglayan, P Madhyastha, L Specia, L Barrault arXiv preprint arXiv:1903.08678, 2019 | 160 | 2019 |
| Distilling translations with visual awareness J Ive, P Madhyastha, L Specia arXiv preprint arXiv:1906.07701, 2019 | 91 | 2019 |
| On model stability as a function of random seed P Madhyastha, R Jain arXiv preprint arXiv:1909.10447, 2019 | 68 | 2019 |
| Cross-lingual visual pre-training for multimodal machine translation O Caglayan, M Kuyu, MS Amac, P Madhyastha, E Erdem, A Erdem, ... arXiv preprint arXiv:2101.10044, 2021 | 38 | 2021 |
| VIFIDEL: Evaluating the visual fidelity of image descriptions P Madhyastha, J Wang, L Specia arXiv preprint arXiv:1907.09340, 2019 | 38 | 2019 |
| Object counts! bringing explicit detections back into image captioning J Wang, P Madhyastha, L Specia arXiv preprint arXiv:1805.00314, 2018 | 37 | 2018 |
| Curious case of language generation evaluation metrics: A cautionary tale O Caglayan, P Madhyastha, L Specia arXiv preprint arXiv:2010.13588, 2020 | 31 | 2020 |
| Simultaneous machine translation with visual context O Caglayan, J Ive, V Haralampieva, P Madhyastha, L Barrault, L Specia arXiv preprint arXiv:2009.07310, 2020 | 27 | 2020 |
| WMDO: Fluency-based word mover’s distance for machine translation evaluation J Chow, L Specia, PS Madhyastha Proceedings of the Fourth Conference on Machine Translation (Volume 2 …, 2019 | 27 | 2019 |
| Sheffield multimt: Using object posterior predictions for multimodal machine translation PS Madhyastha, J Wang, L Specia Proceedings of the second conference on machine translation, 470-476, 2017 | 26 | 2017 |
| Sheffield submissions for WMT18 multimodal translation shared task C Lala, PS Madhyastha, C Scarton, L Specia Proceedings of the Third Conference on Machine Translation: Shared Task …, 2018 | 22 | 2018 |
| Semi-supervised adaptation of RNNLMs by fine-tuning with domain-specific auxiliary features S Deena, RWM Ng, P Madhyashta, L Specia, T Hain Proceedings of INTERSPEECH 2017: Conference of the International Speech …, 2017 | 21 | 2017 |
| Learning task-specific bilexical embeddings PS Madhyastha, X Carreras Pérez, AJ Quattoni Proceedings of the 25th International Conference on Computational …, 2014 | 20 | 2014 |
| Evaluation of fake news detection with knowledge-enhanced language models C Whitehouse, T Weyde, P Madhyastha, N Komninos Proceedings of the international AAAI conference on web and social media 16 …, 2022 | 18 | 2022 |
| Mapping unseen words to task-trained embedding spaces PS Madhyastha, M Bansal, K Gimpel, K Livescu arXiv preprint arXiv:1510.02387, 2015 | 17 | 2015 |
| Learning from multiview correlations in open-domain videos N Holzenberger, S Palaskar, P Madhyastha, F Metze, R Arora ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 15 | 2019 |
| Exploiting multimodal reinforcement learning for simultaneous machine translation J Ive, AM Li, Y Miao, O Caglayan, P Madhyastha, L Specia arXiv preprint arXiv:2102.11387, 2021 | 14 | 2021 |
| Exploring hypotheses spaces in neural machine translation F Blain, L Specia, PS Madhyastha Proceedings of Machine Translation Summit XVI: Research Track, 282-298, 2017 | 14 | 2017 |
| Learning bilingual projections of embeddings for vocabulary expansion in machine translation PS Madhyastha, C Espana-Bonet Proceedings of the 2nd Workshop on Representation Learning for NLP, 139-145, 2017 | 12 | 2017 |
| Numerical reasoning in machine reading comprehension tasks: are we there yet? H Al-Negheimish, P Madhyastha, A Russo arXiv preprint arXiv:2109.08207, 2021 | 11 | 2021 |
Ozan CaglayanEpic Games / Imperial College London在 epicgames.com 的电子邮件经过验证
