3 papers
cs.LG2024
Robust Subgraph Learning by Monitoring Early Training Representations
Sepideh Neshatfar, Salimeh Yasaei Sekeh
Graph neural networks (GNNs) have attracted significant attention for their outstanding performance in graph learning and node classification tasks. However, their vulnerability to…
cs.CV2024
FogGuard: guarding YOLO against fog using perceptual loss
Soheil Gharatappeh, Sepideh Neshatfar, Salimeh Yasaei Sekeh +1
In this paper, we present FogGuard, a novel fog-aware object detection network designed to address the challenges posed by foggy weather conditions. Autonomous driving systems heav…
cs.LG2023
Promise and Limitations of Supervised Optimal Transport-Based Graph Summarization via Information Theoretic Measures
Sepideh Neshatfar, Abram Magner, Salimeh Yasaei Sekeh
Graph summarization is the problem of producing smaller graph representations of an input graph dataset, in such a way that the smaller compressed graphs capture relevant structura…