SOTAVerified

Fairness

Papers

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Showing 4251–4275 of 5676 papers

TitleStatusHype
Measuring Unfairness through Game-Theoretic Interpretability—0
Mechanistic interpretability of large language models with applications to the financial services industry—0
MedISure: Towards Assuring Machine Learning-based Medical Image Classifiers using Mixup Boundary Analysis—0
Meritocratic Fairness for Cross-Population Selection—0
Meta Clustering for Collaborative Learning—0
Meta-Heuristic Fronthaul Bit Allocation for Cell-free Massive MIMO Systems—0
Meta-Learning Empowered Graph Neural Networks for Radio Resource Management—0
Meta-Learning for Federated Face Recognition in Imbalanced Data Regimes—0
METAL: Metamorphic Testing Framework for Analyzing Large-Language Model Qualities—0
Metamorphic Testing for Fairness Evaluation in Large Language Models: Identifying Intersectional Bias in LLaMA and GPT—0
Meta Optimality for Demographic Parity Constrained Regression via Post-Processing—0
Meta-Reinforcement Learning for Fast and Data-Efficient Spectrum Allocation in Dynamic Wireless Networks—0
Method of Equal Shares with Bounded Overspending—0
Methodological Blind Spots in Machine Learning Fairness: Lessons from the Philosophy of Science and Computer Science—0
Metric-Fair Classifier Derandomization—0
Metric-Free Individual Fairness in Online Learning—0
Metric-Free Individual Fairness with Cooperative Contextual Bandits—0
Metrics and methods for a systematic comparison of fairness-aware machine learning algorithms—0
Microfinance in Thailand: Navigating Challenges and Unlocking Opportunities—0
Migrate Demographic Group For Fair GNNs—0
MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset—0
Mind the Gap: A Causal Perspective on Bias Amplification in Prediction & Decision-Making—0
Mind the Graph When Balancing Data for Fairness or Robustness—0
Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets—0
Minimax Demographic Group Fairness in Federated Learning—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