Speeding Up Automatic Hyperparameter Optimization of Deep Neural Networks by Extrapolation of Learning Curves. - Tobias Domhan; Jost Tobias Springenberg; Frank Hutter (IJCAI, 2015)

Using Target-side Monolingual Data for Neural Machine Translation through Multi-task Learning. - Tobias Domhan; Felix Hieber (EMNLP, 2017)

Sockeye: A Toolkit for Neural Machine Translation. - Felix Hieber; Tobias Domhan; Michael J. Denkowski; David Vilar; Artem Sokolov; Ann Clifton; Matt Post (CoRR, 2017)

How Much Attention Do You Need? A Granular Analysis of Neural Machine Translation Architectures. - Tobias Domhan (ACL (1), 2018)

The Sockeye Neural Machine Translation Toolkit at AMTA 2018. - Felix Hieber; Tobias Domhan; Michael J. Denkowski; David Vilar; Artem Sokolov; Ann Clifton; Matt Post (AMTA (1), 2018)

Image Captioning as Neural Machine Translation Task in SOCKEYE. - Loris Bazzani; Tobias Domhan; Felix Hieber (CoRR, 2018)

The Sockeye 2 Neural Machine Translation Toolkit at AMTA 2020. - Tobias Domhan; Michael J. Denkowski; David Vilar; Xing Niu 001; Felix Hieber; Kenneth Heafield (AMTA, 2020)

Sockeye 2: A Toolkit for Neural Machine Translation. - Felix Hieber; Tobias Domhan; Michael J. Denkowski; David Vilar (EAMT, 2020)

Improving the Quality Trade-Off for Neural Machine Translation Multi-Domain Adaptation. - Eva Hasler; Tobias Domhan; Jonay Trénous; Ke Tran; Bill Byrne; Felix Hieber (EMNLP (1), 2021)

The Devil is in the Details: On the Pitfalls of Vocabulary Selection in Neural Machine Translation. - Tobias Domhan; Eva Hasler; Ke Tran; Sony Trenous; Bill Byrne; Felix Hieber (NAACL-HLT, 2022)

Sockeye 3: Fast Neural Machine Translation with PyTorch. - Felix Hieber; Michael J. Denkowski; Tobias Domhan; Barbara Darques Barros; Celina Dong Ye; Xing Niu 001; Cuong Hoang; Ke Tran; Benjamin Hsu; Maria Nadejde; Surafel Melaku Lakew; Prashant Mathur; et al. (CoRR, 2022)

Findings of the WMT 2023 Shared Task on Parallel Data Curation. - Steve Sloto; Brian Thompson 001; Huda Khayrallah; Tobias Domhan; Thamme Gowda; Philipp Koehn (WMT, 2023)

Trained MT Metrics Learn to Cope with Machine-translated References. - Jannis Vamvas; Tobias Domhan; Sony Trenous; Rico Sennrich; Eva Hasler (WMT, 2023)

A Shocking Amount of the Web is Machine Translated: Insights from Multi-Way Parallelism. - Brian Thompson 001; Mehak Preet Dhaliwal; Peter Frisch; Tobias Domhan; Marcello Federico (ACL (Findings), 2024)

Same evaluation, more tokens: On the effect of input length for machine translation evaluation using Large Language Models. - Tobias Domhan; Dawei Zhu (CoRR, 2025)