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Fairness

Papers

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Showing 5401–5450 of 5676 papers

TitleStatusHype
Benchmarking Intersectional Biases in NLPCode0
You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-offs at Inference TimeCode0
Fair Play for Individuals, Foul Play for Groups? Auditing Anonymization's Impact on ML FairnessCode0
Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated LearningCode0
Benchmarking Adversarial Robustness to Bias Elicitation in Large Language Models: Scalable Automated Assessment with LLM-as-a-JudgeCode0
Fairness in Recommender Systems: Research Landscape and Future DirectionsCode0
Towards Fairness in Visual Recognition: Effective Strategies for Bias MitigationCode0
LIMEcraft: Handcrafted superpixel selection and inspection for Visual eXplanationsCode0
Size-adaptive Hypothesis Testing for FairnessCode0
Superhuman FairnessCode0
AdaFair: Cumulative Fairness Adaptive BoostingCode0
Supervised machine learning for microbiomics: bridging the gap between current and best practicesCode0
COVID-19 detection from pulmonary CT scans using a novel EfficientNet with attention mechanismCode0
Optimal Transport of Classifiers to FairnessCode0
Optimal Transport on Categorical Data for Counterfactuals using Compositional Data and Dirichlet TransportCode0
Coverage-based Fairness in Multi-document SummarizationCode0
FairProof : Confidential and Certifiable Fairness for Neural NetworksCode0
LITE: LLM-Impelled efficient Taxonomy EvaluationCode0
Counterpart Fairness -- Addressing Systematic between-group Differences in Fairness EvaluationCode0
LiteLMGuard: Seamless and Lightweight On-Device Prompt Filtering for Safeguarding Small Language Models against Quantization-induced Risks and VulnerabilitiesCode0
Optimisation Strategies for Ensuring Fairness in Machine Learning: With and Without DemographicsCode0
Optimising Equal Opportunity Fairness in Model TrainingCode0
A Critic Evaluation of Methods for COVID-19 Automatic Detection from X-Ray ImagesCode0
An Empirical Study of LLM-as-a-Judge for LLM Evaluation: Fine-tuned Judge Model is not a General Substitute for GPT-4Code0
LLMs as Educational Analysts: Transforming Multimodal Data Traces into Actionable Reading Assessment ReportsCode0
SureMap: Simultaneous Mean Estimation for Single-Task and Multi-Task Disaggregated EvaluationCode0
The Role of Relevance in Fair RankingCode0
Fair Ranking as Fair Division: Impact-Based Individual Fairness in RankingCode0
Fairness in Ranking under Disparate UncertaintyCode0
Fair Ranking with Noisy Protected AttributesCode0
A Stochastic Optimization Framework for Private and Fair Learning From Decentralized DataCode0
Counterfactual Situation Testing: Uncovering Discrimination under Fairness given the DifferenceCode0
Fair Reciprocal Recommendation in Matching MarketsCode0
Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization ApproachCode0
Counterfactual Situation Testing: From Single to Multidimensional DiscriminationCode0
Fair Regression for Health Care SpendingCode0
Counterfactual Risk Assessments, Evaluation, and FairnessCode0
LLpowershap: Logistic Loss-based Automated Shapley Values Feature Selection MethodCode0
Local Causal Discovery for Structural Evidence of Direct DiscriminationCode0
Using Simple Incentives to Improve Two-Sided Fairness in Ridesharing SystemsCode0
(Local) Differential Privacy has NO Disparate Impact on FairnessCode0
The Sem-Lex Benchmark: Modeling ASL Signs and Their PhonemesCode0
Fair Representation: Guaranteeing Approximate Multiple Group Fairness for Unknown TasksCode0
Fair Representation Learning for Heterogeneous Information NetworksCode0
Localized Adaptive Risk ControlCode0
Optimizing Generalized Rate Metrics with Three PlayersCode0
Optimizing Group-Fair Plackett-Luce Ranking Models for Relevance and Ex-Post FairnessCode0
Locating disparities in machine learningCode0
The Sensitivity of Counterfactual Fairness to Unmeasured ConfoundingCode0
Logic Gate Neural Networks are Good for VerificationCode0
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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