conftrace_

sensitive attribute

44 papers

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Co-occurring keywords

bias mitigation (500) representation learning (6206) algorithmic fairness (284) adversarial learning (1595) fair machine learning (46) fair representation learning (19) equalized odd (31) graph neural network (3962) fair representation (26) mutual information (724)

Papers

Fair Graph Learning with Limited Sensitive Attribute Information AAAI 2026
CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement AAAI 2026
fairGNN-WOD: Fair Graph Learning Without Complete Demographics IJCAI 2025
Fine-tuning LLMs with Cross-Attention-based Weight Decay for Bias Mitigation EMNLP 2025
Fair Domain Generalization with Heterogeneous Sensitive Attributes Across Domains WACV 2025
Causality-Inspired Disentanglement for Fair Graph Neural Networks IJCAI 2025
What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning IJCAI 2024
Fair Sampling in Diffusion Models through Switching Mechanism AAAI 2024
FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization AAAI 2024
Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments IJCAI 2024
Fairness guarantees in multi-class classification with demographic parity JMLR 2024
Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes AISTATS 2024
FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation NIPS 2024
FairLISA: Fair User Modeling with Limited Sensitive Attributes Information NIPS 2023
Fair Representation Learning with Unreliable Labels AISTATS 2023
MMD-B-Fair: Learning Fair Representations with Statistical Testing AISTATS 2023
Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes ICML 2023
Fair Representation Learning for Recommendation: A Mutual Information Perspective AAAI 2023
Invariant Representations with Stochastically Quantized Neural Networks AAAI 2023
A Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challenges IJCAI 2023
Shielded Representations: Protecting Sensitive Attributes Through Iterative Gradient-Based Projection ACL 2023
Estimating and Controlling for Equalized Odds via Sensitive Attribute Predictors NIPS 2023
Fairness without the Sensitive Attribute via Causal Variational Autoencoder IJCAI 2022
Controlling Bias Exposure for Fair Interpretable Predictions EMNLP 2022
EqGNN: Equalized Node Opportunity in Graphs AAAI 2022