Matrix Concentration for Random Signed Graphs and Community Recovery in the Signed Stochastic Block Modelby…
Predicting Long Term Sequential Policy Value Using Softer Surrogatesby Hyunji Nam, Allen Nie, Ge Gao,…
NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamicsby Jiawei Zhou, Woojeong Kim, Zhiying Xu, Alexander…
SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacyby Md Mahadi…
Overcoming Class Imbalance: Unified GNN Learning with Structural and Semantic Connectivity Representationsby Abdullah Alchihabi, Hao…
Uncertainty Herding: One Active Learning Method for All Label Budgetsby Wonho Bae, Gabriel L. Oliveira,…
Prototypical Distillation and Debiased Tuning for Black-box Unsupervised Domain Adaptationby Jian Liang, Lijun Sheng, Hongmin…
Differentiable Convex Optimization Layers in Neural Architectures: Foundations and Perspectivesby Calder KatyalFirst submitted to arxiv…
Attention-Driven Metapath Encoding in Heterogeneous Graphsby Calder KatyalFirst submitted to arxiv on: 30 Dec 2024CategoriesMain:…
Learning to Rank Pre-trained Vision-Language Models for Downstream Tasksby Yuhe Ding, Bo Jiang, Aihua Zheng,…