fairness-aware learning

Exploring Entropy-based Active Learning for Fair Brain Segmentation MIDL 2026 FADE: Towards Fairness-aware Data Generation for Domain Generalization via Classifier-Guided Score-based Diffusion Models IJCAI 2025 FairGP: A Scalable and Fair Graph Transformer Using Graph Partitioning AAAI 2025 FairICP: Encouraging Equalized Odds via Inverse Conditional Permutation ICML 2025 Federated Learning at the Forefront of Fairness: A Multifaceted Perspective IJCAI 2025 An Inter-Speaker Fairness-Aware Speech Emotion Regression Framework Interspeech 2024 FairGT: A Fairness-aware Graph Transformer IJCAI 2024 Learning Fair Representations for Recommendation via Information Bottleneck Principle IJCAI 2024 Preventing Eviction-Caused Homelessness through ML-Informed Distribution of Rental Assistance AAAI 2024 SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models AAAI 2024 Fairness-aware class imbalanced learning on multiple subgroups UAI 2023 Probabilistic Reasoning and Learning for Trustworthy AI AAAI 2023 SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification AAAI 2023 Towards Fairness-aware Adversarial Network Pruning ICCV 2023 Fairness-Aware PAC Learning from Corrupted Data JMLR 2022 Fairness-aware Class Imbalanced Learning EMNLP 2021 Learning Disentangled Representation for Fair Facial Attribute Classification via Fairness-aware Information Alignment AAAI 2021 Bursting the Filter Bubble: Fairness-Aware Network Link Prediction AAAI 2020 Fairness-Aware Demand Prediction for New Mobility AAAI 2020 Counterfactual Fairness: Unidentification, Bound and Algorithm IJCAI 2019 FAHT: An Adaptive Fairness-aware Decision Tree Classifier IJCAI 2019 Fairwalk: Towards Fair Graph Embedding IJCAI 2019 Noise-tolerant fair classification NeurIPS 2019