SOTAVerified

Fairness

Papers

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Showing 2801–2850 of 5676 papers

TitleStatusHype
Skellam Rank: Fair Learning to Rank Algorithm Based on Poisson Process and Skellam Distribution for Recommender Systems—0
Toward Fair Facial Expression Recognition with Improved Distribution Alignment—0
A Survey of NOMA: State of the Art, Key Techniques, Open Challenges, Security Issues and Future Trends—0
Investigating Practices and Opportunities for Cross-functional Collaboration around AI Fairness in Industry Practice—0
Preserving privacy in domain transfer of medical AI models comes at no performance costs: The integral role of differential privacyCode0
Safety and Fairness for Content Moderation in Generative Models—0
Causal Fairness for Outcome Control—0
Are fairness metric scores enough to assess discrimination biases in machine learning?—0
Reconciling Predictive and Statistical Parity: A Causal Approach—0
Shedding light on underrepresentation and Sampling Bias in machine learning—0
Toward A Logical Theory Of Fairness and Bias—0
A Systematic Literature Review on Client Selection in Federated Learning—0
DLAMA: A Framework for Curating Culturally Diverse Facts for Probing the Knowledge of Pretrained Language ModelsCode0
Safe Collaborative FilteringCode0
Soft-prompt Tuning for Large Language Models to Evaluate Bias—0
Migrate Demographic Group For Fair GNNs—0
ICON^2: Reliably Benchmarking Predictive Inequity in Object Detection—0
M^3Fair: Mitigating Bias in Healthcare Data through Multi-Level and Multi-Sensitive-Attribute Reweighting MethodCode0
BeMap: Balanced Message Passing for Fair Graph Neural NetworkCode0
Improving Fairness and Robustness in End-to-End Speech Recognition through unsupervised clustering—0
Matched Pair Calibration for Ranking Fairness—0
FedVal: Different good or different bad in federated learningCode0
Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy LearningCode0
Towards Fairness in Personalized Ads Using Impression Variance Aware Reinforcement Learning—0
Fair Patient Model: Mitigating Bias in the Patient Representation Learned from the Electronic Health Records—0
Resilient Constrained Learning—0
Influence Maximization with Fairness at Scale (Extended Version)—0
The Flawed Foundations of Fair Machine Learning—0
Reducing Popularity Bias in Recommender Systems through AUC-Optimal Negative SamplingCode0
Navigating Fairness in Radiology AI: Concepts, Consequences,and Crucial Considerations—0
Achieving Fairness in Multi-Agent Markov Decision Processes Using Reinforcement Learning—0
Smooth Min-Max Monotonic NetworksCode0
A Survey on Fairness-aware Recommender Systems—0
Unfair Utilities and First Steps Towards Improving ThemCode0
Survey of Trustworthy AI: A Meta Decision of AI—0
Being Right for Whose Right Reasons?Code0
Cooperative IoT Data Sharing with Heterogeneity of Participants Based on Electricity Retail—0
Towards Fair Disentangled Online Learning for Changing Environments—0
Doubly Constrained Fair Clustering—0
Pointwise Representational Similarity—0
FRAMM: Fair Ranking with Missing Modalities for Clinical Trial Site Selection—0
Examining risks of racial biases in NLP tools for child protective services—0
Adapting Fairness Interventions to Missing Values—0
Disentangling and Operationalizing AI Fairness at LinkedIn—0
The Alternating-Time μ-Calculus With Disjunctive Explicit Strategies—0
Counterpart Fairness -- Addressing Systematic between-group Differences in Fairness EvaluationCode0
The Leximin Approach for a Sequence of Collective Decisions—0
Generalized Disparate Impact for Configurable Fairness Solutions in MLCode0
Predictability and Fairness in Load Aggregation with Deadband—0
Monotonicity Anomalies in Scottish Local Government Elections—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