Bryan Eikema

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 9

Top Topics

Machine Translation

Target Language

Finite State Transducers

Top Venues

Publications

Bryan Eikema, Wilker Aziz
Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine Translation. EMNLP (2022)
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)
Bryan Eikema, Wilker Aziz
Sampling-Based Minimum Bayes Risk Decoding for Neural Machine Translation. CoRR (2021)
Bryan Eikema, Germán Kruszewski, Hady Elsahar, Marc Dymetman
Sampling from Discrete Energy-Based Models with Quality/Efficiency Trade-offs. CoRR (2021)
Bryan Eikema, Wilker Aziz
Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translation. COLING (2020)
Bryan Eikema, Wilker Aziz
Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translation. CoRR (2020)
Bryan Eikema, Wilker Aziz
Auto-Encoding Variational Neural Machine Translation. RepL4NLP@ACL (2019)
Bryan Eikema, Wilker Aziz
Auto-Encoding Variational Neural Machine Translation. CoRR (2018)
Chang Li, Artem Grotov, Ilya Markov, Bryan Eikema, Maarten de Rijke
Online Learning to Rank with List-level Feedback for Image Filtering. CoRR (2018)