SOTAVerified

Fairness

Papers

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Showing 5451–5500 of 5676 papers

TitleStatusHype
FNNC: Achieving Fairness through Neural Networks—0
Crowdsourcing with Fairness, Diversity and Budget Constraints—0
Summarizing User-generated Textual Content: Motivation and Methods for Fairness in Algorithmic SummariesCode0
The Frontiers of Fairness in Machine Learning—0
Taking Advantage of Multitask Learning for Fair Classification—0
Fairness for Whom? Critically reframing fairness with Nash Welfare Product—0
A Game-Theoretic Approach to Recommendation Systems with Strategic Content Providers—0
Discovering Fair Representations in the Data DomainCode0
Tuning Fairness by Balancing Target LabelsCode0
Fairness-Regularized DLMP-Based Bilevel Transactive Energy Mechanism in Distribution Systems—0
Systematic Biases in Link Prediction: comparing heuristic and graph embedding based methods—0
A General Framework for Fair Regression—0
Can everyday AI be ethical. Fairness of Machine Learning Algorithms—0
From Soft Classifiers to Hard Decisions: How fair can we be?Code0
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic BiasCode0
Counterfactually Fair Prediction Using Multiple Causal ModelsCode0
Active Fairness in Algorithmic Decision Making—0
Counterfactual Fairness in Text Classification through Robustness—0
Defining the Collective Intelligence Supply Chain—0
Evaluating Fairness Metrics in the Presence of Dataset Bias—0
Envy-Free Classification—0
Insider Trading with Penalties—0
A General Framework for Temporal Fair User Scheduling in NOMA Systems—0
Personalizing Fairness-aware Re-ranking—0
A Fairness-aware Hybrid Recommender System—0
Fairness-aware Classification: Criterion, Convexity, and Bounds—0
Extracting Fairness Policies from Legal Documents—0
Creating Fair Models of Atherosclerotic Cardiovascular Disease Risk—0
Fair lending needs explainable models for responsible recommendation—0
Simplicity Creates Inequity: Implications for Fairness, Stereotypes, and Interpretability—0
Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals—0
Using Image Fairness Representations in Diversity-Based Re-ranking for Recommendations—0
A Moral Framework for Understanding of Fair ML through Economic Models of Equality of Opportunity—0
Fairness-Aware Recommendation of Information Curators—0
Fairness Through Causal Awareness: Learning Latent-Variable Models for Biased Data—0
Learning Optimal Fair Policies—0
Fair Algorithms for Learning in Allocation Problems—0
The implicit fairness criterion of unconstrained learning—0
Investigating Human + Machine Complementarity for Recidivism Predictions—0
Downstream Effects of Affirmative Action—0
A Dichotomous Analysis of Unemployment Benefits—0
Avoiding Disparity Amplification under Different Worldviews—0
The Social Cost of Strategic Classification—0
An Empirical Study of Rich Subgroup Fairness for Machine LearningCode0
FactSheets: Increasing Trust in AI Services through Supplier's Declarations of Conformity—0
Spatial Deep Learning for Wireless SchedulingCode0
Efficiency, Sequenceability and Deal-Optimality in Fair Division of Indivisible Goods—0
An Intersectional Definition of FairnessCode0
Planning and Synthesis Under Assumptions—0
User Fairness in Recommender Systems—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