8 citations · 11 across the 2 of their papers we have counts for
3 papers
cs.CL2022★ 8 cited
On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation
Changtong Zan, Liang Ding, Li Shen +3
Pre-Training (PT) of text representations has been successfully applied to low-resource Neural Machine Translation (NMT). However, it usually fails to achieve notable gains (someti…
cs.CV2022★ 3 cited
Selecting task with optimal transport self-supervised learning for few-shot classification
Renjie Xu, Xinghao Yang, Baodi Liu +2
Few-Shot classification aims at solving problems that only a few samples are available in the training process. Due to the lack of samples, researchers generally employ a set of tr…
cs.CV2020
Targeted Physical-World Attention Attack on Deep Learning Models in Road Sign Recognition
Xinghao Yang, Weifeng Liu, Shengli Zhang +2
Real world traffic sign recognition is an important step towards building autonomous vehicles, most of which highly dependent on Deep Neural Networks (DNNs). Recent studies demonst…