Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation
2007: Combining Outputs from Multiple Machine Translation Systems
2008: A Unified Architecture for Natural Language Processing: Deep Neural Networks with Multitask Learning
2009: Curriculum Learning
2012: Improving neural networks by preventing co-adaptation of feature detectors
2013: Dramatically Reducing Training Data Size Through Vocabulary Saturation
2014: Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
2016: Incorporating Discrete Translation Lexicons into Neural Machine Translation
2017: Syllable-aware Neural Language Models: A Failure to Beat Character-aware Ones
2019: Massively Multilingual Neural Machine Translation
2020: Unsupervised Domain Clusters in Pretrained Language Models
2021: Neural Machine Translation with Monolingual Translation Memory
2021: Improving the Quality Trade-Off for Neural Machine Translation Multi-Domain Adaptation