2 papers
cs.CV2025
Enhancing Multi-view Open-set Learning via Ambiguity Uncertainty Calibration and View-wise Debiasing
Zihan Fang, Zhiyong Xu, Lan Du +3
Existing multi-view learning models struggle in open-set scenarios due to their implicit assumption of class completeness. Moreover, static view-induced biases, which arise from sp…
cs.LG2025
Simplifying Graph Convolutional Networks with Redundancy-Free Neighbors
Jielong Lu, Zhihao Wu, Zhiling Cai +2
In recent years, Graph Convolutional Networks (GCNs) have gained popularity for their exceptional ability to process graph-structured data. Existing GCN-based approaches typically…