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Weiwei Shi

2 accepted papers

2022

RoCBert: Robust Chinese Bert with Multimodal Contrastive Pretraining

ACL 2022long

Large-scale pretrained language models have achieved SOTA results on NLP tasks. However, they have been shown vulnerable to adversarial attacks especially for logographic languages like Chinese. In this work, we propose RoCBert: a pretrained Chinese Bert that is robust to various forms of adversaria…

2018

Transductive Semi-Supervised Deep Learning using Min-Max Features

ECCV 2018poster

In this paper, we propose Transductive Semi-Supervised Deep Learning (TSSDL) method that is effective for training Deep Convolutional Neural Network (DCNN) models. The method applies transductive learning principle to DCNN training, introduces confidence levels on unlabeled image samples to overcome…

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