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Fairness

Papers

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Showing 2951–3000 of 5676 papers

TitleStatusHype
Oversampling Higher-Performing Minorities During Machine Learning Model Training Reduces Adverse Impact Slightly but Also Reduces Model Accuracy—0
Proportionally Representative Clustering—0
Why not both? Complementing explanations with uncertainty, and the role of self-confidence in Human-AI collaboration—0
Fairness Uncertainty Quantification: How certain are you that the model is fair?—0
Towards clinical AI fairness: A translational perspective—0
Combining Adversaries with Anti-adversaries in Training—0
(Local) Differential Privacy has NO Disparate Impact on FairnessCode0
Fairness and Bias in Truth Discovery Algorithms: An Experimental Analysis—0
Rapidly time-varying reconfigurable intelligent surfaces for downlink multiuser transmissions—0
Towards Mode Balancing of Generative Models via Diversity WeightsCode0
AGI: Artificial General Intelligence for Education—0
ExCalibR: Expected Calibration of Recommendations—0
A Conceptual Algorithm for Applying Ethical Principles of AI to Medical Practice—0
Individual Fairness in Bayesian Neural NetworksCode0
E Pluribus Unum: Guidelines on Multi-Objective Evaluation of Recommender SystemsCode0
On the Independence of Association Bias and Empirical Fairness in Language Models—0
Loss Minimization Yields Multicalibration for Large Neural Networks—0
Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual FairnessCode0
ACROCPoLis: A Descriptive Framework for Making Sense of Fairness—0
Long-Term Fairness with Unknown Dynamics—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
Systemic Fairness—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
Fair Grading Algorithms for Randomized Exams—0
Beyond Submodularity: A Unified Framework of Randomized Set Selection with Group Fairness Constraints—0
Maximal Fairness—0
Auditing ICU Readmission Rates in an Clinical Database: An Analysis of Risk Factors and Clinical Outcomes—0
GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual ReasoningCode0
Learning Optimal Fair Scoring Systems for Multi-Class Classification—0
Linking a predictive model to causal effect estimation—0
Analysing Fairness of Privacy-Utility Mobility Models—0
Artificial Intelligence/Operations Research Workshop 2 Report Out—0
FairPilot: An Explorative System for Hyperparameter Tuning through the Lens of Fairness—0
Achieving Long-term Fairness in Submodular Maximization through Randomization—0
CAFIN: Centrality Aware Fairness inducing IN-processing for Unsupervised Representation Learning on GraphsCode0
CILIATE: Towards Fairer Class-based Incremental Learning by Dataset and Training RefinementCode0
Information-Theoretic Testing and Debugging of Fairness Defects in Deep Neural Networks—0
Reweighted Mixup for Subpopulation Shift—0
Best Arm Identification with Fairness Constraints on Subpopulations—0
Connecting Fairness in Machine Learning with Public Health Equity—0
Last-Layer Fairness Fine-tuning is Simple and Effective for Neural NetworksCode0
Fairness through Aleatoric UncertaintyCode0
Assessing Perceived Fairness from Machine Learning Developer's Perspective—0
Inductive Graph UnlearningCode0
Globalizing Fairness Attributes in Machine Learning: A Case Study on Health in Africa—0
Blaming Humans and Machines: What Shapes People's Reactions to Algorithmic Harm—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