Yang Zhao

Conditional Uncertainty Quantification for Tensorized Topological Neural Networks

2024 · arXiv (Cornell University)

Graph Neural Networks (GNNs) have become the de facto standard for analyzing graph-structured data, leveraging message-passing techniques to capture both structural and node feature information. However, recent studies have raised concerns about the statistical reliability …

CIT: Rethinking Class-incremental Semantic Segmentation with a Class Independent Transformation

2024 · arXiv (Cornell University)

Class-incremental semantic segmentation (CSS) requires that a model learn to segment new classes without forgetting how to segment previous ones: this is typically achieved by distilling the current knowledge and incorporating the latest data. However, …