Showing 1–20 of 20 results
/ Date/ Name
Dec 31, 2024MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented GenerationDec 19, 2023Chasing Fairness in Graphs: A GNN Architecture PerspectiveJul 14, 2023DISPEL: Domain Generalization via Domain-Specific LiberatingJun 15, 2023FFB: A Fair Fairness Benchmark for In-Processing Group Fairness MethodsJun 11, 2023Graph Mixup with Soft AlignmentsMar 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 ApproachMar 2, 2023Understanding and Unifying Fourteen Attribution Methods with Taylor InteractionsFeb 18, 2023Fairly Predicting Graft Failure in Liver Transplant for Organ AssigningJan 31, 2023Retiring $Δ$DP: New Distribution-Level Metrics for Demographic ParityJan 3, 2023RELIANT: Fair Knowledge Distillation for Graph Neural NetworksAug 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 ManipulationNov 4, 2021Modeling Techniques for Machine Learning Fairness: A SurveyAug 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 NetworksAug 11, 2019SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks