Tobias Domhan

According to our database, Tobias Domhan authored at least 14 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Shocking Amount of the Web is Machine Translated: Insights from Multi-Way Parallelism.

Brian Thompson, Mehak Preet Dhaliwal, Peter Frisch, Tobias Domhan, Marcello Federico

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Trained MT Metrics Learn to Cope with Machine-translated References.

Jannis Vamvas, Tobias Domhan, Sony Trenous, Rico Sennrich, Eva Hasler

Proceedings of the Eighth Conference on Machine Translation, 2023

Findings of the WMT 2023 Shared Task on Parallel Data Curation.

Steve Sloto, Brian Thompson, Huda Khayrallah, Tobias Domhan, Thamme Gowda, Philipp Koehn

Proceedings of the Eighth Conference on Machine Translation, 2023

2022

Sockeye 3: Fast Neural Machine Translation with PyTorch.

Felix Hieber, Michael J. Denkowski, Tobias Domhan, Barbara Darques Barros, Celina Dong Ye, Xing Niu, Cuong Hoang, Ke Tran, Benjamin Hsu, Maria Nadejde, Surafel Melaku Lakew, Prashant Mathur, Marcello Federico, Anna Currey

CoRR, 2022

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

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021

Improving the Quality Trade-Off for Neural Machine Translation Multi-Domain Adaptation.

Eva Hasler, Tobias Domhan, Jonay Trénous, Ke Tran, Bill Byrne, Felix Hieber

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Sockeye 2: A Toolkit for Neural Machine Translation.

Felix Hieber, Tobias Domhan, Michael J. Denkowski, David Vilar

Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, 2020

The Sockeye 2 Neural Machine Translation Toolkit at AMTA 2020.

Tobias Domhan, Michael J. Denkowski, David Vilar, Xing Niu, Felix Hieber, Kenneth Heafield

Proceedings of the 14th Conference of the Association for Machine Translation in the Americas, 2020

2018

Image Captioning as Neural Machine Translation Task in SOCKEYE.

Loris Bazzani, Tobias Domhan, Felix Hieber

CoRR, 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

Proceedings of the 13th Conference of the Association for Machine Translation in the Americas, 2018

How Much Attention Do You Need? A Granular Analysis of Neural Machine Translation Architectures.

Tobias Domhan

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

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

Using Target-side Monolingual Data for Neural Machine Translation through Multi-task Learning.

Tobias Domhan, Felix Hieber

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2015

Speeding Up Automatic Hyperparameter Optimization of Deep Neural Networks by Extrapolation of Learning Curves.

Tobias Domhan, Jost Tobias Springenberg, Frank Hutter

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015