5 citations · 13 across the 8 of their papers we have counts for
11 papers
Continual Learning of Neural Machine Translation within Low Forgetting Risk Regions
Shuhao Gu, Bojie Hu, Yang Feng
This paper considers continual learning of large-scale pretrained neural machine translation model without accessing the previous training data or introducing model separation. We…
Improving Zero-Shot Multilingual Translation with Universal Representations and Cross-Mappings
Shuhao Gu, Yang Feng
The many-to-many multilingual neural machine translation can translate between language pairs unseen during training, i.e., zero-shot translation. Improving zero-shot translation r…
Importance-based Neuron Allocation for Multilingual Neural Machine Translation
Wanying Xie, Yang Feng, Shuhao Gu +1
Multilingual neural machine translation with a single model has drawn much attention due to its capability to deal with multiple languages. However, the current multilingual transl…
Guiding Teacher Forcing with Seer Forcing for Neural Machine Translation
Yang Feng, Shuhao Gu, Dengji Guo +2
Although teacher forcing has become the main training paradigm for neural machine translation, it usually makes predictions only conditioned on past information, and hence lacks gl…
Pruning-then-Expanding Model for Domain Adaptation of Neural Machine Translation
Shuhao Gu, Yang Feng, Wanying Xie
Domain Adaptation is widely used in practical applications of neural machine translation, which aims to achieve good performance on both the general-domain and in-domain. However,…
Investigating Catastrophic Forgetting During Continual Training for Neural Machine Translation
Shuhao Gu, Yang Feng
Neural machine translation (NMT) models usually suffer from catastrophic forgetting during continual training where the models tend to gradually forget previously learned knowledge…