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Fairness

Papers

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Showing 1501–1550 of 5676 papers

TitleStatusHype
Distributionally Robust Survival Analysis: A Novel Fairness Loss Without DemographicsCode0
Distributional Off-Policy Evaluation for Slate RecommendationsCode0
Evaluating Blocking Biases in Entity MatchingCode0
A Generic Framework for Conformal FairnessCode0
Evaluating Bias and Fairness in Gender-Neutral Pretrained Vision-and-Language ModelsCode0
Evaluating ChatGPT-4 Vision on Brazil's National Undergraduate Computer Science ExamCode0
ABCFair: an Adaptable Benchmark approach for Comparing Fairness MethodsCode0
Evaluating the Fairness of Discriminative Foundation Models in Computer VisionCode0
Variational Fair ClusteringCode0
Diverse Weighted Bipartite b-MatchingCode0
Closing the Gender Wage Gap: Adversarial Fairness in Job RecommendationCode0
Mining bias-target Alignment from Voronoi CellsCode0
Mitigating Algorithmic Bias with Limited AnnotationsCode0
Mitigating Bias in Queer Representation within Large Language Models: A Collaborative Agent ApproachCode0
Estimating the Hessian Matrix of Ranking Objectives for Stochastic Learning to Rank with Gradient Boosted TreesCode0
Mitigating Exposure Bias in Online Learning to Rank Recommendation: A Novel Reward Model for Cascading BanditsCode0
Equipping Federated Graph Neural Networks with Structure-aware Group FairnessCode0
DIVINE: Diverse Influential Training Points for Data Visualization and Model RefinementCode0
Estimating and Improving Fairness with Adversarial LearningCode0
Equalizing Gender Biases in Neural Machine Translation with Word Embeddings TechniquesCode0
Achieving Fairness through Adversarial Learning: an Application to Recidivism PredictionCode0
Mitigating Racial Biases in Toxic Language Detection with an Equity-Based Ensemble FrameworkCode0
Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice modelsCode0
Mitigating Unfairness via Evolutionary Multi-objective Ensemble LearningCode0
Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit RateCode0
Does Machine Bring in Extra Bias in Learning? Approximating Fairness in Models PromptlyCode0
Does mitigating ML's impact disparity require treatment disparity?Code0
Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation SystemsCode0
Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual FairnessCode0
FACT: A Diagnostic for Group Fairness Trade-offsCode0
Modeling Implicit Bias with Fuzzy Cognitive MapsCode0
Montague semantics and modifier consistency measurement in neural language modelsCode0
Equal Improvability: A New Fairness Notion Considering the Long-term ImpactCode0
Equal Opportunity in Online Classification with Partial FeedbackCode0
Cross-model Fairness: Empirical Study of Fairness and Ethics Under Model MultiplicityCode0
Classification with Fairness Constraints: A Meta-Algorithm with Provable GuaranteesCode0
Classification with abstention but without disparitiesCode0
EqGNN: Equalized Node Opportunity in GraphsCode0
Enumerating Fair Packages for Group RecommendationsCode0
Domain Adaptive Decision Trees: Implications for Accuracy and FairnessCode0
Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Connections to EvolvabilityCode0
E Pluribus Unum: Guidelines on Multi-Objective Evaluation of Recommender SystemsCode0
Equal Confusion Fairness: Measuring Group-Based Disparities in Automated Decision SystemsCode0
Benchmarking Adversarial Robustness to Bias Elicitation in Large Language Models: Scalable Automated Assessment with LLM-as-a-JudgeCode0
Ensuring Fairness Beyond the Training DataCode0
Exploring the Jungle of Bias: Political Bias Attribution in Language Models via Dependency AnalysisCode0
Enrolment-based personalisation for improving individual-level fairness in speech emotion recognitionCode0
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision MakingCode0
Entity-Switched Datasets: An Approach to Auditing the In-Domain Robustness of Named Entity Recognition ModelsCode0
CLAIM: An Intent-Driven Multi-Agent Framework for Analyzing Manipulation in Courtroom DialoguesCode0
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All datasetsBAF – BaseBAF – Variant IBAF – Variant IIBAF – Variant IIIBAF – Variant IVBAF – Variant VDiveFaceMORPHUTKFace

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