SOTAVerified

Fairness

Papers

Showing 451475 of 5676 papers

TitleStatusHype
SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-LearningCode1
SMoA: Improving Multi-agent Large Language Models with Sparse Mixture-of-AgentsCode1
SOCRATES: Towards a Unified Platform for Neural Network AnalysisCode1
SPRec: Leveraging Self-Play to Debias Preference Alignment for Large Language Model-based RecommendationsCode1
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research ChallengesCode1
AugmentedPCA: A Python Package of Supervised and Adversarial Linear Factor ModelsCode1
Aequitas: A Bias and Fairness Audit ToolkitCode1
SynthEval: A Framework for Detailed Utility and Privacy Evaluation of Tabular Synthetic DataCode1
BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text GenerationCode1
CaPC Learning: Confidential and Private Collaborative LearningCode1
Counterfactual Inference for Text Classification DebiasingCode1
The Devil is in the GAN: Backdoor Attacks and Defenses in Deep Generative ModelsCode1
Addressing Algorithmic Disparity and Performance Inconsistency in Federated LearningCode1
Tilted Empirical Risk MinimizationCode1
"Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference LettersCode1
A Framework for Fairer Machine Learning in Organizations0
A Conceptual Framework for Ethical Evaluation of Machine Learning Systems0
A Catalog of Fairness-Aware Practices in Machine Learning Engineering0
A Framework for Addressing the Risks and Opportunities In AI-Supported Virtual Health Coaches0
A fixed point approach for computing actuarially fair Pareto optimal risk-sharing rules0
A Uniform Concentration Inequality for Kernel-Based Two-Sample Statistics0
EMO-Debias: Benchmarking Gender Debiasing Techniques in Multi-Label Speech Emotion Recognition0
Affirmative Algorithms: The Legal Grounds for Fairness as Awareness0
A Federated Reinforcement Learning Framework for Link Activation in Multi-link Wi-Fi Networks0
A Computational Approach to Improving Fairness in K-means Clustering0
Show:102550
← PrevPage 19 of 228Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)99.86Unverified
21D-CSNNPredictive Equality (age)97.8Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)96.87Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)98.97Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)98.45Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)98.68Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)99.31Unverified
#ModelMetricClaimedVerifiedStatus
1Neighbour LearningDegree of Bias (DoB)0.49Unverified
#ModelMetricClaimedVerifiedStatus
1Neighbour LearningDegree of Bias (DoB)6.26Unverified
#ModelMetricClaimedVerifiedStatus
1Neighbour LearningDegree of Bias (DoB)1.96Unverified