SOTAVerified

Fairness

Papers

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Showing 1676–1700 of 5676 papers

TitleStatusHype
CUPID: Improving Battle Fairness and Position Satisfaction in Online MOBA Games with a Re-matchmaking System—0
The Rise of Artificial Intelligence in Educational Measurement: Opportunities and Ethical Challenges—0
Diminishing Stereotype Bias in Image Generation Model using Reinforcemenlent Learning Feedback—0
Fairness and Bias in Multimodal AI: A Survey—0
Deriva-ML: A Continuous FAIRness Approach to Reproducible Machine Learning Models—0
"My Kind of Woman": Analysing Gender Stereotypes in AI through The Averageness Theory and EU Law—0
Dancing in the Shadows: Harnessing Ambiguity for Fairer Classifiers—0
Evaluating AI Group Fairness: a Fuzzy Logic Perspective—0
AI Data Readiness Inspector (AIDRIN) for Quantitative Assessment of Data Readiness for AI—0
Contraction of Private Quantum Channels and Private Quantum Hypothesis Testing—0
Fairpriori: Improving Biased Subgroup Discovery for Deep Neural Network Fairness—0
Evaluating Fairness in Large Vision-Language Models Across Diverse Demographic Attributes and PromptsCode0
Performative Debias with Fair-exposure Optimization Driven by Strategic Agents in Recommender Systems—0
Unbiasing on the Fly: Explanation-Guided Human Oversight of Machine Learning System Decisions—0
Mind the Graph When Balancing Data for Fairness or Robustness—0
X-ray Made Simple: Lay Radiology Report Generation and Robust EvaluationCode0
Hacking a surrogate model approach to XAI—0
Inducing Group Fairness in Prompt-Based Language Model Decisions—0
Efficient k-means with Individual Fairness via Exponential Tilting—0
Addressing Polarization and Unfairness in Performative Prediction—0
Achieving Fairness Across Local and Global Models in Federated Learning—0
Cherry on the Cake: Fairness is NOT an Optimization Problem—0
Toward Fairer Face Recognition Datasets—0
Semi-Variance Reduction for Fair Federated Learning—0
Fair Clustering: Critique, Caveats, and Future Directions—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