Alexandra Chronopoulou

According to our database1, Alexandra Chronopoulou authored at least 21 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Language and Task Arithmetic with Parameter-Efficient Layers for Zero-Shot Summarization.
CoRR, 2023

Improving Isochronous Machine Translation with Target Factors and Auxiliary Counters.
CoRR, 2023

Jointly Optimizing Translations and Speech Timing to Improve Isochrony in Automatic Dubbing.
CoRR, 2023

On the Copying Problem of Unsupervised NMT: A Training Schedule with a Language Discriminator Loss.
Proceedings of the 20th International Conference on Spoken Language Translation, 2023


Mitigating Data Imbalance and Representation Degeneration in Multilingual Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2022
m<sup>4</sup>Adapter: Multilingual Multi-Domain Adaptation for Machine Translation with a Meta-Adapter.
CoRR, 2022

Language-Family Adapters for Multilingual Neural Machine Translation.
CoRR, 2022

Efficient Hierarchical Domain Adaptation for Pretrained Language Models.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

m⌃4 Adapter: Multilingual Multi-Domain Adaptation for Machine Translation with a Meta-Adapter.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
Improving the Lexical Ability of Pretrained Language Models for Unsupervised Neural Machine Translation.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020
The LMU Munich System for the WMT 2020 Unsupervised Machine Translation Shared Task.
Proceedings of the Fifth Conference on Machine Translation, 2020

Domain Adversarial Fine-Tuning as an Effective Regularizer.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Reusing a Pretrained Language Model on Languages with Limited Corpora for Unsupervised NMT.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
An Embarrassingly Simple Approach for Transfer Learning from Pretrained Language Models.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018
NTUA-SLP at IEST 2018: Ensemble of Neural Transfer Methods for Implicit Emotion Classification.
Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, 2018

NTUA-SLP at SemEval-2018 Task 1: Predicting Affective Content in Tweets with Deep Attentive RNNs and Transfer Learning.
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

2016
Discretization error of reflected fractional Brownian motion.
Proceedings of the Winter Simulation Conference, 2016

Online community detection for fused social network graphs.
Proceedings of the 19th International Conference on Information Fusion, 2016

2013
Optimal Sequential Change Detection for Fractional Diffusion-Type Processes.
J. Appl. Probab., 2013


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