| Losing Heads in the Lottery: Pruning Transformer M Behnke, K Heafield The 2020 Conference on Empirical Methods in Natural Language Processing …, 2020 | 66 | 2020 |
| Edinburgh’s submissions to the 2020 machine translation efficiency task N Bogoychev, R Grundkiewicz, AF Aji, M Behnke, K Heafield, S Kashyap, ... Proceedings of the Fourth Workshop on Neural Generation and Translation, 218-224, 2020 | 19 | 2020 |
| Efficient machine translation with model pruning and quantization M Behnke, N Bogoychev, AF Aji, K Heafield, G Nail, Q Zhu, S Tchistiakova, ... EMNLP 2021 Sixth Conference on Machine Translation (WMT), 775-780, 2021 | 15 | 2021 |
| Pruning neural machine translation for speed using group lasso M Behnke, K Heafield Proceedings of the sixth conference on machine translation, 1074-1086, 2021 | 7 | 2021 |
| Improving machine translation of educational content via crowdsourcing M Behnke, AVM Barone, R Sennrich, V Sosoni, T Naskos, E Takoulidou, ... 11th Edition of the Language Resources and Evaluation Conference, 3343-3347, 2018 | 7 | 2018 |
| Edinburgh’s submission to the WMT 2022 Efficiency task N Bogoychev, M Behnke, J Van Der Linde, G Nail, K Heafield, B Zhang, ... Proceedings of the Seventh Conference on Machine Translation (WMT), 661-667, 2022 | 1 | 2022 |
| Structural pruning for speed in neural machine translation M Behnke The University of Edinburgh, 2022 | | 2022 |
