most citedRaDAR: Relation-aware Diffusion-Asymmetric Graph Contrastive Learning for Recommendation

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stat.ML2023

Quantifying Uncertainty in Deep Learning Classification with Noise in Discrete Inputs for Risk-Based Decision Making

Maryam Kheirandish, Shengfan Zhang, Donald G. Catanzaro +1

The use of Deep Neural Network (DNN) models in risk-based decision-making has attracted extensive attention with broad applications in medical, finance, manufacturing, and quality…