65 citations · 228 across the 16 of their papers we have counts for
4 papers · 1 filter
Structure-Sensitive Graph Dictionary Embedding for Graph Classification
Guangbu Liu, Tong Zhang, Xudong Wang +3
Graph structure expression plays a vital role in distinguishing various graphs. In this work, we propose a Structure-Sensitive Graph Dictionary Embedding (SS-GDE) framework to tran…
Debiased Learning from Naturally Imbalanced Pseudo-Labels
Xudong Wang, Zhirong Wu, Long Lian +1
Pseudo-labels are confident predictions made on unlabeled target data by a classifier trained on labeled source data. They are widely used for adapting a model to unlabeled data, e…
Unsupervised Selective Labeling for More Effective Semi-Supervised Learning
Xudong Wang, Long Lian, Stella X. Yu
Given an unlabeled dataset and an annotation budget, we study how to selectively label a fixed number of instances so that semi-supervised learning (SSL) on such a partially labele…
Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers
Yunhui Guo, Xudong Wang, Yubei Chen +1
Hyperbolic space can naturally embed hierarchies, unlike Euclidean space. Hyperbolic Neural Networks (HNNs) exploit such representational power by lifting Euclidean features into h…