7 papers
Uncertainty-aware Long-tailed Weights Model the Utility of Pseudo-labels for Semi-supervised Learning
Jiaqi Wu, Junbiao Pang, Qingming Huang
Current Semi-supervised Learning (SSL) adopts the pseudo-labeling strategy and further filters pseudo-labels based on confidence thresholds. However, this mechanism has notable dra…
Modeling the Popularity of Events on Web by Sparsity and Mutual-Excitation Guided Graph Neural Network
Jiaxin Deng, Linlin Jia, Junbiao Pang +1
The content of a webpage described or posted an event in the cyberspace inevitably reflects viewpoints, values and trends of the physical society. Mapping an event on web to the po…
Bilateral Sharpness-Aware Minimization for Flatter Minima
Jiaxin Deng, Junbiao Pang, Baochang Zhang +1
Sharpness-Aware Minimization (SAM) enhances generalization by reducing a Max-Sharpness (MaxS). Despite the practical success, we empirically found that the MAxS behind SAM's genera…
Bundle Fragments into a Whole: Mining More Complete Clusters via Submodular Selection of Interesting webpages for Web Topic Detection
Junbiao Pang, Anjing Hu, Qingming Huang
Organizing interesting webpages into hot topics is one of key steps to understand the trends of multimodal web data. A state-of-the-art solution is firstly to organize webpages int…
Decorrelating Structure via Adapters Makes Ensemble Learning Practical for Semi-supervised Learning
Jiaqi Wu, Junbiao Pang, Qingming Huang
In computer vision, traditional ensemble learning methods exhibit either a low training efficiency or the limited performance to enhance the reliability of deep neural networks. In…
Towards Scalable Topic Detection on Web via Simulating Levy Walks Nature of Topics in Similarity Space
Junbiao Pang, Qingming Huang
Organizing a few webpages from social media websites into popular topics is one of the key steps to understand trends on web. Discovering popular topics from web faces a sea of noi…