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Fairness

Papers

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Showing 4301–4350 of 5676 papers

TitleStatusHype
A Novel Approach to Fair Power Allocation for NOMA in Visible Light Communication—0
A novel initialisation based on hospital-resident assignment for the k-modes algorithm—0
A Novel NOMA Solution with RIS Partitioning—0
A Novel Regularization Approach to Fair ML—0
A Novel Terabit Grid-of-Beam Optical Wireless Multi-User Access Network with Beam Clustering—0
Fair Active Learning: Solving the Labeling Problem in Insurance—0
An Overview of Fairness in Data – Illuminating the Bias in Data Pipeline—0
An Overview of Large Language Models for Statisticians—0
Antenna Health-Aware Selective Beamforming for Hardware-Constrained DFRC Systems I—0
Anticipating Gaming to Incentivize Improvement: Guiding Agents in (Fair) Strategic Classification—0
Anti-jamming Transmission of Downlink Cell Free Millimeter-Wave MIMO System—0
An Unsupervised Approach towards Varying Human Skin Tone Using Generative Adversarial Networks—0
A Pairwise Fair and Community-preserving Approach to k-Center Clustering—0
A Polynomial-Time Approximation for Pairwise Fair k-Median Clustering—0
A Post-Processing-Based Fair Federated Learning Framework—0
APPLE: Adversarial Privacy-aware Perturbations on Latent Embedding for Unfairness Mitigation—0
Applying and Evaluating Large Language Models in Mental Health Care: A Scoping Review of Human-Assessed Generative Tasks—0
Approaching Ethical Guidelines for Data Scientists—0
Approaching Machine Learning Fairness through Adversarial Network—0
Appropriate Fairness Perceptions? On the Effectiveness of Explanations in Enabling People to Assess the Fairness of Automated Decision Systems—0
Approximate Birkhoff-von-Neumann decomposition: a differentiable approach—0
Approximate Heavily-Constrained Learning with Lagrange Multiplier Models—0
Approximating Fair k-Min-Sum-Radii in Euclidean Space—0
A Practical guide on Explainable AI Techniques applied on Biomedical use case applications—0
A Pre-processing Method for Fairness in Ranking—0
A Pre-trained Framework for Multilingual Brain Decoding Using Non-invasive Recordings—0
Rate-Splitting Multiple Access: The First Prototype and Experimental Validation of its Superiority over SDMA and NOMA—0
A Quantitative Evaluation of the Expressivity of BMI, Pose and Gender in Body Embeddings for Recognition and Identification—0
A quest for a fair schedule: The Young Physicists' Tournament—0
A Ranking Approach to Fair Classification—0
A Rate-Splitting Strategy to Enable Joint Radar Sensing and Communication with Partial CSIT—0
Are Big Recommendation Models Fair to Cold Users?—0
An Equity-Aware Recommender System for Curating Art Exhibits Based on Locally-Constrained Graph Matching—0
Are Commercial Face Detection Models as Biased as Academic Models?—0
Are Conventional SNNs Really Efficient? A Perspective from Network Quantization—0
Are demographically invariant models and representations in medical imaging fair?—0
Are Elites Meritocratic and Efficiency-Seeking? Evidence from MBA Students—0
Are fairness metric scores enough to assess discrimination biases in machine learning?—0
Are Fairness Perceptions Shaped by Income Inequality? Evidence from Latin America—0
Are generative models fair? A study of racial bias in dermatological image generation—0
A Regret bound for Non-stationary Multi-Armed Bandits with Fairness Constraints—0
A Reinforcement Learning Approach for RIS-aided Fair Communications—0
A Reinforcement Learning Approach to Optimize Available Network Bandwidth Utilization—0
Reinforcement Learning for Joint Optimization of Multiple Rewards—0
Are Linear Regression Models White Box and Interpretable?—0
Are Models Trained on Indian Legal Data Fair?—0
Are My Deep Learning Systems Fair? An Empirical Study of Fixed-Seed Training—0
Are Pretrained Multilingual Models Equally Fair Across Languages?—0
A Possibility in Algorithmic Fairness: Can Calibration and Equal Error Rates Be Reconciled?—0
A Resource-Adaptive Approach for Federated Learning under Resource-Constrained Environments—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