SOTAVerified

Fairness

Papers

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Showing 5451–5500 of 5676 papers

TitleStatusHype
Fairness for Multi-Self Agents—0
Machine Decisions and Human Consequences—0
TED: Teaching AI to Explain its Decisions—0
Characterizing machine learning process: A maturity framework—0
Eliminating Latent Discrimination: Train Then Mask—0
How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness—0
Scalable Robust Kidney ExchangeCode0
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
Fairness for Whom? Critically reframing fairness with Nash Welfare Product—0
Taking Advantage of Multitask Learning for Fair Classification—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
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic BiasCode0
From Soft Classifiers to Hard Decisions: How fair can we be?Code0
Can everyday AI be ethical. Fairness of Machine Learning Algorithms—0
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
A Fairness-aware Hybrid Recommender System—0
Fairness-aware Classification: Criterion, Convexity, and Bounds—0
Personalizing Fairness-aware Re-ranking—0
Creating Fair Models of Atherosclerotic Cardiovascular Disease Risk—0
Extracting Fairness Policies from Legal Documents—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
A Moral Framework for Understanding of Fair ML through Economic Models of Equality of Opportunity—0
Using Image Fairness Representations in Diversity-Based Re-ranking for Recommendations—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
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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