3 citations · 5 across the 4 of their papers we have counts for
4 papers
Towards Making the Most of Multilingual Pretraining for Zero-Shot Neural Machine Translation
Guanhua Chen, Shuming Ma, Yun Chen +4
This paper demonstrates that multilingual pretraining and multilingual fine-tuning are both critical for facilitating cross-lingual transfer in zero-shot translation, where the neu…
CODEs: Chamfer Out-of-Distribution Examples against Overconfidence Issue
Keke Tang, Dingruibo Miao, Weilong Peng +5
Overconfident predictions on out-of-distribution (OOD) samples is a thorny issue for deep neural networks. The key to resolve the OOD overconfidence issue inherently is to build a…
Zero-shot Cross-lingual Transfer of Neural Machine Translation with Multilingual Pretrained Encoders
Guanhua Chen, Shuming Ma, Yun Chen +5
Previous work mainly focuses on improving cross-lingual transfer for NLU tasks with a multilingual pretrained encoder (MPE), or improving the performance on supervised machine tran…
Decision Propagation Networks for Image Classification
Keke Tang, Peng Song, Yuexin Ma +4
High-level (e.g., semantic) features encoded in the latter layers of convolutional neural networks are extensively exploited for image classification, leaving low-level (e.g., colo…