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Fairness

Papers

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Showing 2651–2700 of 5676 papers

TitleStatusHype
MLHOps: Machine Learning for Healthcare Operations—0
Distributing Synergy Functions: Unifying Game-Theoretic Interaction Methods for Machine-Learning Explainability—0
Deep Learning Aided Beamforming for Downlink Non-Orthogonal Multiple Access Systems—0
Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data SubpopulationsCode0
Integrating Psychometrics and Computing Perspectives on Bias and Fairness in Affective Computing: A Case Study of Automated Video Interviews—0
Maximizing Submodular Functions for Recommendation in the Presence of BiasesCode0
Explaining Language Models' Predictions with High-Impact Concepts—0
Fairness in AI Systems: Mitigating gender bias from language-vision models—0
fairml: A Statistician's Take on Fair Machine Learning Modelling—0
Are demographically invariant models and representations in medical imaging fair?—0
Multidimensional Fairness in Paper Recommendation—0
On the Impact of Data Quality on Image Classification Fairness—0
Connecting the Dots in Trustworthy Artificial Intelligence: From AI Principles, Ethics, and Key Requirements to Responsible AI Systems and Regulation—0
Fairness and representation in satellite-based poverty maps: Evidence of urban-rural disparities and their impacts on downstream policy—0
Non-Orthogonal Multiple Access Assisted by Reconfigurable Intelligent Surface Using Unsupervised Machine LearningCode0
Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and EquityCode0
Learning to Re-rank with Constrained Meta-Optimal Transport—0
Visualizing chest X-ray dataset biases using GANs—0
Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning—0
Social Preferences and Deliberately Stochastic Behavior—0
A Federated Reinforcement Learning Framework for Link Activation in Multi-link Wi-Fi Networks—0
How to address monotonicity for model risk management?—0
Why not both? Complementing explanations with uncertainty, and the role of self-confidence in Human-AI collaboration—0
FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class AssociationsCode1
Oversampling Higher-Performing Minorities During Machine Learning Model Training Reduces Adverse Impact Slightly but Also Reduces Model Accuracy—0
Proportionally Representative Clustering—0
Fairness Uncertainty Quantification: How certain are you that the model is fair?—0
Towards clinical AI fairness: A translational perspective—0
(Local) Differential Privacy has NO Disparate Impact on FairnessCode0
Fairness and Bias in Truth Discovery Algorithms: An Experimental Analysis—0
Combining Adversaries with Anti-adversaries in Training—0
Rapidly time-varying reconfigurable intelligent surfaces for downlink multiuser transmissions—0
ExCalibR: Expected Calibration of Recommendations—0
AGI: Artificial General Intelligence for Education—0
Towards Mode Balancing of Generative Models via Diversity WeightsCode0
A Conceptual Algorithm for Applying Ethical Principles of AI to Medical Practice—0
Optimizing fairness tradeoffs in machine learning with multiobjective meta-modelsCode1
Individual Fairness in Bayesian Neural NetworksCode0
On the Independence of Association Bias and Empirical Fairness in Language Models—0
E Pluribus Unum: Guidelines on Multi-Objective Evaluation of Recommender SystemsCode0
ACROCPoLis: A Descriptive Framework for Making Sense of Fairness—0
Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual FairnessCode0
Long-Term Fairness with Unknown Dynamics—0
Loss Minimization Yields Multicalibration for Large Neural Networks—0
Generative models improve fairness of medical classifiers under distribution shifts—0
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects—0
Fairness in AI and Its Long-Term Implications on Society—0
On User-side Fairness in Negative Sampling for Recommender Systems—0
Elastic Federated Learning over Open Radio Access Network (O-RAN) for Concurrent Execution of Multiple Distributed Learning Tasks—0
Fairness in Visual Clustering: A Novel Transformer Clustering 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