SOTAVerified

Fairness

Papers

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Showing 5301–5350 of 5676 papers

TitleStatusHype
Learning Fair and Transferable Representations—0
Quantitative Verification of Neural Networks And its Security Applications—0
Artificial Intelligence: the global landscape of ethics guidelines—0
Transfer of Machine Learning Fairness across Domains—0
The Cost of a Reductions Approach to Private Fair Optimization—0
FairST: Equitable Spatial and Temporal Demand Prediction for New Mobility Systems—0
FlipTest: Fairness Testing via Optimal TransportCode0
Coresets for Clustering with Fairness ConstraintsCode0
Multi-Category Fairness in Sponsored Search Auctions—0
Machine Learning Testing: Survey, Landscapes and Horizons—0
Adversarial training approach for local data debiasing—0
Inherent Tradeoffs in Learning Fair Representations—0
Variational Fair ClusteringCode0
The Price of Local Fairness in Multistage SelectionCode0
Principled Frameworks for Evaluating Ethics in NLP Systems—0
Image Counterfactual Sensitivity Analysis for Detecting Unintended Bias—0
Multi-type Resource Allocation with Partial Preferences—0
Fairness-Aware Scheduling in Multi-Numerology Based 5G New Radio—0
Leveraging Labeled and Unlabeled Data for Consistent Fair Binary ClassificationCode0
Pairwise Fairness for Ranking and Regression—0
ProPublica's COMPAS Data RevisitedCode0
Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination PatternsCode0
FaRM: Fair Reward Mechanism for Information Aggregation in Spontaneous Localized Settings (Extended Version)—0
Stretching the Effectiveness of MLE from Accuracy to Bias for Pairwise Comparisons—0
Quantification and Analysis of Layer-wise and Pixel-wise Information DiscardingCode0
Maximum Weighted Loss DiscrepancyCode0
Addictive Auctions: using lucky-draw and gambling addiction to increase participation during auctioningCode0
Equalized odds postprocessing under imperfect group informationCode0
Fair Division Without Disparate Impact—0
Flexibly Fair Representation Learning by Disentanglement—0
Enumeration of Distinct Support Vectors for Interactive Decision Making—0
Data preprocessing to mitigate bias: A maximum entropy based approachCode0
Fair Near Neighbor Search: Independent Range Sampling in High DimensionsCode0
Towards Fair and Privacy-Preserving Federated Deep ModelsCode0
Balanced Ranking with Diversity Constraints—0
Assessing Disparate Impacts of Personalized Interventions: Identifiability and BoundsCode0
Disparate Vulnerability to Membership Inference AttacksCode0
Metric Learning for Individual Fairness—0
Assessing Algorithmic Fairness with Unobserved Protected Class Using Data CombinationCode0
Achieving Fairness in Determining Medicaid Eligibility through Fairgroup Construction—0
Optimized Score Transformation for Consistent Fair Classification—0
Principal Fairness: Removing Bias via Projections—0
On the Fairness of Disentangled Representations—0
Fairness and Missing ValuesCode0
Unsupervised Model Selection for Variational Disentangled Representation Learning—0
FairSearch: A Tool For Fairness in Ranked Search Results—0
Achieving Fairness in Stochastic Multi-armed Bandit Problem—0
Efficient candidate screening under multiple tests and implications for fairness—0
Equal Opportunity and Affirmative Action via Counterfactual Predictions—0
Compositional Fairness Constraints for Graph EmbeddingsCode0
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All datasetsBAF – BaseBAF – Variant IBAF – Variant IIBAF – Variant IIIBAF – Variant IVBAF – Variant VDiveFaceMORPHUTKFace

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