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fairness-aware learning

21 papers

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Co-occurring keywords

sensitive feature (5) graph neural network (3962) graph transformer (114) fairness metric (48) adversarial training (1262) algorithmic fairness (284) adversarial learning (1595) unidentifiability bound (1) counterfactual quantity (1) hoeffding tree (3)

Papers

Exploring Entropy-based Active Learning for Fair Brain Segmentation MIDL 2026
Federated Learning at the Forefront of Fairness: A Multifaceted Perspective IJCAI 2025
FairGP: A Scalable and Fair Graph Transformer Using Graph Partitioning AAAI 2025
FADE: Towards Fairness-aware Data Generation for Domain Generalization via Classifier-Guided Score-based Diffusion Models IJCAI 2025
An Inter-Speaker Fairness-Aware Speech Emotion Regression Framework INTERSPEECH 2024
Learning Fair Representations for Recommendation via Information Bottleneck Principle IJCAI 2024
SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models AAAI 2024
FairGT: A Fairness-aware Graph Transformer IJCAI 2024
Preventing Eviction-Caused Homelessness through ML-Informed Distribution of Rental Assistance AAAI 2024
Probabilistic Reasoning and Learning for Trustworthy AI AAAI 2023
Fairness-aware class imbalanced learning on multiple subgroups UAI 2023
Towards Fairness-aware Adversarial Network Pruning ICCV 2023
SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification AAAI 2023
Fairness-Aware PAC Learning from Corrupted Data JMLR 2022
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 NIPS 2019