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Pranava Madhyastha
Pranava Madhyastha
City, University of London; Imperial College London; Alan Turing Institute
Bestätigte E-Mail-Adresse bei city.ac.uk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Probing the need for visual context in multimodal machine translation
O Caglayan, P Madhyastha, L Specia, L Barrault
arXiv preprint arXiv:1903.08678, 2019
1582019
Distilling translations with visual awareness
J Ive, P Madhyastha, L Specia
arXiv preprint arXiv:1906.07701, 2019
892019
On model stability as a function of random seed
P Madhyastha, R Jain
arXiv preprint arXiv:1909.10447, 2019
682019
VIFIDEL: Evaluating the visual fidelity of image descriptions
P Madhyastha, J Wang, L Specia
arXiv preprint arXiv:1907.09340, 2019
392019
Object counts! bringing explicit detections back into image captioning
J Wang, P Madhyastha, L Specia
arXiv preprint arXiv:1805.00314, 2018
392018
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
362021
Curious case of language generation evaluation metrics: A cautionary tale
O Caglayan, P Madhyastha, L Specia
arXiv preprint arXiv:2010.13588, 2020
302020
Simultaneous machine translation with visual context
O Caglayan, J Ive, V Haralampieva, P Madhyastha, L Barrault, L Specia
arXiv preprint arXiv:2009.07310, 2020
272020
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
272019
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
262017
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
222018
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
212017
Learning task-specific bilexical embeddings
PS Madhyastha, X Carreras Pérez, AJ Quattoni
Proceedings of the 25th International Conference on Computational …, 2014
202014
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
192022
Mapping unseen words to task-trained embedding spaces
PS Madhyastha, M Bansal, K Gimpel, K Livescu
arXiv preprint arXiv:1510.02387, 2015
172015
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
152019
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
132021
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
122017
Exploring hypotheses spaces in neural machine translation
F Blain, L Specia, PS Madhyastha
Proceedings of Machine Translation Summit XVI: Research Track, 282-298, 2017
122017
Numerical reasoning in machine reading comprehension tasks: are we there yet?
H Al-Negheimish, P Madhyastha, A Russo
arXiv preprint arXiv:2109.08207, 2021
112021
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