13 citations · 13 across the 3 of their papers we have counts for
3 papers
cs.CL2022★ 13 cited
Improving Contrastive Learning of Sentence Embeddings with Case-Augmented Positives and Retrieved Negatives
Wei Wang, Liangzhu Ge, Jingqiao Zhang +1
Following SimCSE, contrastive learning based methods have achieved the state-of-the-art (SOTA) performance in learning sentence embeddings. However, the unsupervised contrastive le…
cs.CL2021
SAS: Self-Augmentation Strategy for Language Model Pre-training
Yifei Xu, Jingqiao Zhang, Ru He +4
The core of self-supervised learning for pre-training language models includes pre-training task design as well as appropriate data augmentation. Most data augmentations in languag…
cs.LG2020
Label-Based Diversity Measure Among Hidden Units of Deep Neural Networks: A Regularization Method
Chenguang Zhang, Yuexian Hou, Dawei Song +2
Although the deep structure guarantees the powerful expressivity of deep networks (DNNs), it also triggers serious overfitting problem. To improve the generalization capacity of DN…