SOTAVerified

Fairness

Papers

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Showing 1901–1950 of 5676 papers

TitleStatusHype
Exploring the Unfairness of DP-SGD Across Settings—0
Exploring unfairness in Integrated Gradients based attribution methods—0
Exploring User Opinions of Fairness in Recommender Systems—0
Exploring Welfare Maximization and Fairness in Participatory Budgeting—0
Exponential Structure of Income Inequality: Evidence from 67 Countries—0
Exposing Product Bias in LLM Investment Recommendation—0
Approximating Fair k-Min-Sum-Radii in Euclidean Space—0
Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context—0
AI based Content Creation and Product Recommendation Applications in E-commerce: An Ethical overview—0
Extracting Fairness Policies from Legal Documents—0
Accuracy vs. Accuracy: Computational Tradeoffs Between Classification Rates and Utility—0
Contextual Thompson Sampling via Generation of Missing Data—0
A Suite of Fairness Datasets for Tabular Classification—0
FaceSaliencyAug: Mitigating Geographic, Gender and Stereotypical Biases via Saliency-Based Data Augmentation—0
FACET: Fairness in Computer Vision Evaluation Benchmark—0
A Fair Federated Learning Framework With Reinforcement Learning—0
Facets of Fairness in Search and Recommendation—0
Contextual bandits with concave rewards, and an application to fair ranking—0
A Study on Fairness and Trust Perceptions in Automated Decision Making—0
Facial Width-to-Height Ratio Does Not Predict Self-Reported Behavioral Tendencies—0
A Pre-processing Method for Fairness in Ranking—0
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems—0
Active Learning for Fair and Stable Online Allocations—0
Factoring the Matrix of Domination: A Critical Review and Reimagination of Intersectionality in AI Fairness—0
Factors Affecting the Performance of Automated Speaker Verification in Alzheimer's Disease Clinical Trials—0
FactSheets: Increasing Trust in AI Services through Supplier's Declarations of Conformity—0
FADE: Adversarial Concept Erasure in Flow Models—0
A Comprehensive Survey of Bias in LLMs: Current Landscape and Future Directions—0
FADES: Fair Disentanglement with Sensitive Relevance—0
FAE: A Fairness-Aware Ensemble Framework—0
Rate-Splitting Multiple Access: The First Prototype and Experimental Validation of its Superiority over SDMA and NOMA—0
Fair4Free: Generating High-fidelity Fair Synthetic Samples using Data Free Distillation—0
Societal AI Research Has Become Less Interdisciplinary—0
FairACE: Achieving Degree Fairness in Graph Neural Networks via Contrastive and Adversarial Group-Balanced Training—0
Casual Conversations v2: Designing a large consent-driven dataset to measure algorithmic bias and robustness—0
A Fairness Analysis on Private Aggregation of Teacher Ensembles—0
Fair Active Learning in Low-Data Regimes—0
Fair Active Ranking from Pairwise Preferences—0
Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces—0
A Quantitative Evaluation of the Expressivity of BMI, Pose and Gender in Body Embeddings for Recognition and Identification—0
Causal-Aware Intelligent QoE Optimization for VR Interaction with Adaptive Keyframe Extraction—0
Fair Adversarial Networks—0
Context matters for fairness -- a case study on the effect of spatial distribution shifts—0
FairAIED: Navigating Fairness, Bias, and Ethics in Educational AI Applications—0
Fair Algorithm Design: Fair and Efficacious Machine Scheduling—0
Causal Conceptions of Fairness and their Consequences—0
Fair Algorithms for Hierarchical Agglomerative Clustering—0
Fair Algorithms for Infinite and Contextual Bandits—0
Fair Algorithms for Learning in Allocation Problems—0
Context-Aware Mobility Management in HetNets: A Reinforcement Learning Approach—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)99.86—Unverified
21D-CSNNPredictive Equality (age)97.8—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)96.87—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)98.97—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)98.45—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)98.68—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)99.31—Unverified
#ModelMetricClaimedVerifiedStatus
1Neighbour LearningDegree of Bias (DoB)0.49—Unverified
#ModelMetricClaimedVerifiedStatus
1Neighbour LearningDegree of Bias (DoB)6.26—Unverified
#ModelMetricClaimedVerifiedStatus
1Neighbour LearningDegree of Bias (DoB)1.96—Unverified