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2020 – today
- 2024
[c4]Wafaa Mohammed, Sweta Agrawal, M. Amin Farajian, Vera Cabarrão, Bryan Eikema, Ana C. Farinha, José Guilherme Camargo de Souza:
Findings of the WMT 2024 Shared Task on Chat Translation. WMT 2024: 701-714- [i6]Wafaa Mohammed, Sweta Agrawal, M. Amin Farajian, Vera Cabarrão, Bryan Eikema, Ana C. Farinha, José G. C. de Souza:
Findings of the WMT 2024 Shared Task on Chat Translation. CoRR abs/2410.11624 (2024) - 2022
- [j1]Bryan Eikema, Germán Kruszewski, Christopher R. Dance, Hady Elsahar, Marc Dymetman:
An approximate sampler for energy-based models with divergence diagnostics. Trans. Mach. Learn. Res. 2022 (2022) - [c3]Bryan Eikema, Wilker Aziz
:
Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine Translation. EMNLP 2022: 10978-10993 - 2021
- [i5]Bryan Eikema, Wilker Aziz:
Sampling-Based Minimum Bayes Risk Decoding for Neural Machine Translation. CoRR abs/2108.04718 (2021) - [i4]Bryan Eikema, Germán Kruszewski, Hady Elsahar, Marc Dymetman:
Sampling from Discrete Energy-Based Models with Quality/Efficiency Trade-offs. CoRR abs/2112.05702 (2021) - 2020
- [c2]Bryan Eikema, Wilker Aziz:
Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translation. COLING 2020: 4506-4520 - [i3]Bryan Eikema, Wilker Aziz:
Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translation. CoRR abs/2005.10283 (2020)
2010 – 2019
- 2019
- [c1]Bryan Eikema, Wilker Aziz:
Auto-Encoding Variational Neural Machine Translation. RepL4NLP@ACL 2019: 124-141 - 2018
- [i2]Bryan Eikema, Wilker Aziz:
Auto-Encoding Variational Neural Machine Translation. CoRR abs/1807.10564 (2018) - [i1]Chang Li, Artem Grotov, Ilya Markov, Bryan Eikema, Maarten de Rijke:
Online Learning to Rank with List-level Feedback for Image Filtering. CoRR abs/1812.04910 (2018)
Coauthor Index
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