SOTAVerified

Fairness

Papers

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Showing 2501–2525 of 5676 papers

TitleStatusHype
Disentangled Representation Learning with the Gromov-Monge Gap—0
Discussion about Attacks and Defenses for Fair and Robust Recommendation System Design—0
Balancing Tails when Comparing Distributions: Comprehensive Equity Index (CEI) with Application to Bias Evaluation in Operational Face Biometrics—0
Discriminatory Transfer—0
Avoiding Disparity Amplification under Different Worldviews—0
Discrimination-free Insurance Pricing with Privatized Sensitive Attributes—0
Discrimination and Class Imbalance Aware Online Naive Bayes—0
Balancing Profit and Fairness in Risk-Based Pricing Markets—0
Balancing out Bias: Achieving Fairness Through Balanced Training—0
Achieving Fairness in Multi-Agent Markov Decision Processes Using Reinforcement Learning—0
Causal Fairness Assessment of Treatment Allocation with Electronic Health Records—0
Bias and Generalizability of Foundation Models across Datasets in Breast Mammography—0
Discovery of Bias and Strategic Behavior in Crowdsourced Performance Assessment—0
Balancing out Bias: Achieving Fairness Through Balanced Training—0
α-Discounting Multi-Criteria Decision Making (α-D MCDM)—0
DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data—0
Balancing Lexicographic Fairness and a Utilitarian Objective with Application to Kidney Exchange—0
Alpha and Prejudice: Improving α-sized Worst-case Fairness via Intrinsic Reweighting—0
Discipline and Label: A WEIRD Genealogy and Social Theory of Data Annotation—0
DiRe Committee : Diversity and Representation Constraints in Multiwinner Elections—0
Diminishing Stereotype Bias in Image Generation Model using Reinforcemenlent Learning Feedback—0
Balancing Fairness and Performance in Healthcare AI: A Gradient Reconciliation Approach—0
A Low-Complexity Approach for Max-Min Fairness in Uplink Cell-Free Massive MIMO—0
Dimensions of Diversity in Human Perceptions of Algorithmic Fairness—0
Balancing Fairness and Efficiency in an Optimization Model—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