Showing 1–13 of 13 results
/ Date/ Name
Dec 19, 2023Chasing Fairness in Graphs: A GNN Architecture PerspectiveJun 15, 2023FFB: A Fair Fairness Benchmark for In-Processing Group Fairness MethodsMar 30, 2023Multi-Task Learning for Post-transplant Cause of Death Analysis: A Case Study on Liver TransplantMar 6, 2023Chasing Fairness Under Distribution Shift: A Model Weight Perturbation ApproachFeb 18, 2023Fairly Predicting Graft Failure in Liver Transplant for Organ AssigningJan 31, 2023Retiring $Δ$DP: New Distribution-Level Metrics for Demographic ParityAug 26, 2022Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement LearningAug 5, 2022DIVISION: Memory Efficient Training via Dual Activation PrecisionFeb 8, 2022FMP: Toward Fair Graph Message Passing against Topology BiasNov 8, 2021Defense Against Explanation ManipulationAug 9, 2021AutoVideo: An Automated Video Action Recognition SystemApr 14, 2021Mutual Information Preserving Back-propagation: Learn to Invert for Faithful AttributionDec 17, 2019Multi-Channel Graph Convolutional Networks