94 citations · 94 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 94 cited
Cross-modal Contrastive Learning for Multimodal Fake News Detection
Longzheng Wang, Chuang Zhang, Hongbo Xu +3
Automatic detection of multimodal fake news has gained a widespread attention recently. Many existing approaches seek to fuse unimodal features to produce multimodal news represent…
cs.LG2022
Towards Harnessing Feature Embedding for Robust Learning with Noisy Labels
Chuang Zhang, Li Shen, Jian Yang +1
The memorization effect of deep neural networks (DNNs) plays a pivotal role in recent label noise learning methods. To exploit this effect, the model prediction-based methods have…
cs.LG2022
Multi-class Label Noise Learning via Loss Decomposition and Centroid Estimation
Yongliang Ding, Tao Zhou, Chuang Zhang +3
In real-world scenarios, many large-scale datasets often contain inaccurate labels, i.e., noisy labels, which may confuse model training and lead to performance degradation. To ove…