SOTAVerified

Fairness

Papers

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Showing 3776–3800 of 5676 papers

TitleStatusHype
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings—0
An Empirical Study of Modular Bias Mitigators and Ensembles—0
Achieving Fairness at No Utility Cost via Data Reweighing with InfluenceCode1
Federated Active Learning (F-AL): an Efficient Annotation Strategy for Federated Learning—0
Learning Fair Representations via Rate-Distortion MaximizationCode0
Causal Explanations and XAI—0
Fair Wrapping for Black-box PredictionsCode0
Fair ranking: a critical review, challenges, and future directions—0
FairEGM: Fair Link Prediction and Recommendation via Emulated Graph Modification—0
Fairness Implications of Encoding Protected Categorical AttributesCode4
Controlling Directions Orthogonal to a ClassifierCode1
Promises and Challenges of Causality for Ethical Machine Learning—0
Learning Resource Allocation Policies from Observational Data with an Application to Homeless Services Delivery—0
Are Commercial Face Detection Models as Biased as Academic Models?—0
An Algorithmic Framework for Bias Bounties—0
Rate-Splitting Multiple Access for Multi-Antenna Joint Radar and Communications with Partial CSIT: Precoder Optimization and Link-Level Simulations—0
Towards Multi-Objective Statistically Fair Federated Learning—0
Learning Optimal Fair Classification Trees: Trade-offs Between Interpretability, Fairness, and AccuracyCode1
Post-processing of Differentially Private Data: A Fairness Perspective—0
α-Fairness User Pairing for Downlink NOMA Systems with Imperfect Successive Interference Cancellation—0
Can Model Compression Improve NLP Fairness—0
Consumer Fairness in Recommender Systems: Contextualizing Definitions and MitigationsCode1
Fair Node Representation Learning via Adaptive Data Augmentation—0
Minimax Demographic Group Fairness in Federated Learning—0
Potential sources of dataset bias complicate investigation of underdiagnosis by machine learning algorithms—0
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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