38 citations · 139 across the 8 of their papers we have counts for
8 papers
Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model
Juntao Li, Ruidan He, Hai Ye +3
Recent research indicates that pretraining cross-lingual language models on large-scale unlabeled texts yields significant performance improvements over various cross-lingual and l…
On the Sparsity of Neural Machine Translation Models
Yong Wang, Longyue Wang, Victor O. K. Li +1
Modern neural machine translation (NMT) models employ a large number of parameters, which leads to serious over-parameterization and typically causes the underutilization of comput…
Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks
Yong Wang, Longyue Wang, Shuming Shi +2
The key challenge of multi-domain translation lies in simultaneously encoding both the general knowledge shared across domains and the particular knowledge distinctive to each doma…
Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations
Jiatao Gu, Yong Wang, Kyunghyun Cho +1
Zero-shot translation, translating between language pairs on which a Neural Machine Translation (NMT) system has never been trained, is an emergent property when training the syste…
Broadband Analog Aggregation for Low-Latency Federated Edge Learning (Extended Version)
Guangxu Zhu, Yong Wang, Kaibin Huang
The popularity of mobile devices results in the availability of enormous data and computational resources at the network edge. To leverage the data and resources, a new machine lea…
Meta-Learning for Low-Resource Neural Machine Translation
Jiatao Gu, Yong Wang, Yun Chen +2
In this paper, we propose to extend the recently introduced model-agnostic meta-learning algorithm (MAML) for low-resource neural machine translation (NMT). We frame low-resource t…
Large Margin Few-Shot Learning
Yong Wang, Xiao-Ming Wu, Qimai Li +4
The key issue of few-shot learning is learning to generalize. This paper proposes a large margin principle to improve the generalization capacity of metric based methods for few-sh…
Search Engine Guided Non-Parametric Neural Machine Translation
Jiatao Gu, Yong Wang, Kyunghyun Cho +1
In this paper, we extend an attention-based neural machine translation (NMT) model by allowing it to access an entire training set of parallel sentence pairs even after training. T…