| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ... arXiv preprint arXiv:2403.05530, 2024 | 284 | 2024 |
| Ntua-slp at semeval-2018 task 1: Predicting affective content in tweets with deep attentive rnns and transfer learning C Baziotis, N Athanasiou, A Chronopoulou, A Kolovou, ... SemEval @ NAACL 2018, 2018 | 163 | 2018 |
| An embarrassingly simple approach for transfer learning from pretrained language models A Chronopoulou, C Baziotis, A Potamianos NAACL 2019, 2019 | 139 | 2019 |
| AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models A Chronopoulou, ME Peters, A Fraser, J Dodge EACL 2023 (Findings), 2023 | 59 | 2023 |
| Efficient hierarchical domain adaptation for pretrained language models A Chronopoulou, ME Peters, J Dodge NAACL 2022, 2022 | 46 | 2022 |
| Findings of the iwslt 2023 evaluation campaign M Agarwal, S Agarwal, A Anastasopoulos, L Bentivogli, O Bojar, C Borg, ... Association for Computational Linguistics, 2023 | 38 | 2023 |
| Reusing a Pretrained Language Model on Languages with Limited Corpora for Unsupervised NMT A Chronopoulou, D Stojanovski, A Fraser EMNLP 2020, 2020 | 27 | 2020 |
| Improving the Lexical Ability of Pretrained Language Models for Unsupervised Neural Machine Translation A Chronopoulou, D Stojanovski, A Fraser NAACL 2021, 2021 | 20 | 2021 |
| NTUA-SLP at IEST 2018: Ensemble of neural transfer methods for implicit emotion classification A Chronopoulou, A Margatina, C Baziotis, A Potamianos WASSA @ EMNLP 2018, 2018 | 20 | 2018 |
| Language-Family Adapters for Low-Resource Multilingual Neural Machine Translation A Chronopoulou, D Stojanovski, A Fraser LoResMT @ EACL 2023, 2023 | 16* | 2023 |
| : Multilingual Multi-Domain Adaptation for Machine Translation with a Meta-Adapter W Lai, A Chronopoulou, A Fraser EMNLP 2022 (Findings), 2022 | 15 | 2022 |
| Domain Adversarial Fine-Tuning as an Effective Regularizer G Vernikos, K Margatina, A Chronopoulou, I Androutsopoulos EMNLP 2020 (Findings), 2020 | 10 | 2020 |
| Language and task arithmetic with parameter-efficient layers for zero-shot summarization A Chronopoulou, J Pfeiffer, J Maynez, X Wang, S Ruder, P Agrawal arXiv preprint arXiv:2311.09344, 2023 | 7 | 2023 |
| Jointly Optimizing Translations and Speech Timing to Improve Isochrony in Automatic Dubbing A Chronopoulou, B Thompson, P Mathur, Y Virkar, SM Lakew, M Federico arXiv preprint arXiv:2302.12979, 2023 | 6 | 2023 |
| The LMU Munich system for the WMT 2020 unsupervised machine translation shared task A Chronopoulou, D Stojanovski, V Hangya, A Fraser WMT 2020, 2020 | 5 | 2020 |
| Mitigating Data Imbalance and Representation Degeneration in Multilingual Machine Translation W Lai, A Chronopoulou, A Fraser EMNLP 2023 (Findings), 2023 | 3 | 2023 |
| Improving Isochronous Machine Translation with Target Factors and Auxiliary Counters P Pal, B Thompson, Y Virkar, P Mathur, A Chronopoulou, M Federico INTERSPEECH 2023, 2023 | 2 | 2023 |
| Τεχνικές Μεταφοράς Μάθησης σε Βαθιά Νευρωνικά Δίκτυα για Ανάλυση Συναισθήματος και Σημασιολογική Μοντελοποίηση Α Χρονοπούλου | 2 | 2019 |
| On the Copying Problem of Unsupervised NMT: A Training Schedule with a Language Discriminator Loss Y Liu, A Chronopoulou, H Schütze, A Fraser IWSLT 2023, 2023 | 1 | 2023 |
Alexander FraserTechnical University of Munich, Munich Center for Machine Learning在 tum.de 的电子邮件经过验证
