SOTAVerified

Fairness

Papers

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Showing 2751–2775 of 5676 papers

TitleStatusHype
FAST: A Fairness Assured Service Recommendation Strategy Considering Service Capacity Constraint—0
FGCE: Feasible Group Counterfactual Explanations for Auditing Fairness—0
FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data—0
FARMUR: Fair Adversarial Retraining to Mitigate Unfairness in Robustness—0
Debiasing classifiers: is reality at variance with expectation?—0
FinA: Fairness of Adverse Effects in Decision-Making of Human-Cyber-Physical-System—0
FIND:Explainable Framework for Meta-learning—0
Finding Fair and Efficient Allocations When Valuations Don't Add Up—0
A Unified Approach to Fair Online Learning via Blackwell Approachability—0
Finding Reusable Machine Learning Components to Build Programming Language Processing Pipelines—0
Finding Words Associated with DIF: Predicting Differential Item Functioning using LLMs and Explainable AI—0
Algorithmic Fairness—0
Fine-Grained Bias Detection in LLM: Enhancing detection mechanisms for nuanced biases—0
FaRM: Fair Reward Mechanism for Information Aggregation in Spontaneous Localized Settings (Extended Version)—0
Fine-Tuning from Limited Feedbacks—0
FARF: A Fair and Adaptive Random Forests Classifier—0
De-biased Representation Learning for Fairness with Unreliable Labels—0
FinML-Chain: A Blockchain-Integrated Dataset for Enhanced Financial Machine Learning—0
FALE: Fairness-Aware ALE Plots for Auditing Bias in Subgroups—0
FireMatch: A Semi-Supervised Video Fire Detection Network Based on Consistency and Distribution Alignment—0
First-Choice Maximality Meets Ex-ante and Ex-post Fairness—0
First-Person Fairness in Chatbots—0
FiSH: Fair Spatial Hotspots—0
FITNESS: A Causal De-correlation Approach for Mitigating Bias in Machine Learning Software—0
FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding—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