SOTAVerified

Fairness

Papers

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Showing 4101–4125 of 5676 papers

TitleStatusHype
A Decomposition of the Max-min Fair Curriculum-based Course Timetabling Problem—0
A Deep Dive into Fairness, Bias, Threats, and Privacy in Recommender Systems: Insights and Future Research—0
A Deep Learning Approach for User-Centric Clustering in Cell-Free Massive MIMO Systems—0
A Deep Learning-Based Approach for Cell Outage Compensation in NOMA Networks—0
A Deep Reinforcement Learning Approach for Fair Traffic Signal Control—0
A Deep Reinforcement Learning Framework for Contention-Based Spectrum Sharing—0
AdEval: Alignment-based Dynamic Evaluation to Mitigate Data Contamination in Large Language Models—0
A Dichotomous Analysis of Unemployment Benefits—0
A Differentiable Rank-Based Objective For Better Feature Learning—0
A Directional Rockafellar-Uryasev Regression—0
A Disability Lens towards Biases in GPT-3 Generated Open-Ended Languages—0
A Discussion of Discrimination and Fairness in Insurance Pricing—0
A Distributionally Robust Approach to Fair Classification—0
A Distributionally Robust Optimisation Approach to Fair Credit Scoring—0
Advancing AI with Integrity: Ethical Challenges and Solutions in Neural Machine Translation—0
Advancing Cultural Inclusivity: Optimizing Embedding Spaces for Balanced Music Recommendations—0
Advancing Fairness in Natural Language Processing: From Traditional Methods to Explainability—0
Advancing Legal Reasoning: The Integration of AI to Navigate Complexities and Biases in Global Jurisprudence with Semi-Automated Arbitration Processes (SAAPs)—0
Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond—0
Advancing subgroup fairness via sleeping experts—0
Advantageous and disadvantageous inequality aversion can be taught through vicarious learning of others' preferences—0
Adversarial Fairness Network—0
Adversarial Reweighting for Speaker Verification Fairness—0
Adversarial Reweighting Guided by Wasserstein Distance for Bias Mitigation—0
Adversarial Sampling for Fairness Testing in Deep Neural Network—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