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Fairness

Papers

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Showing 2101–2150 of 5676 papers

TitleStatusHype
Procedural Fairness Through Decoupling Objectionable Data Generating ComponentsCode0
Certified Defense on the Fairness of Graph Neural NetworksCode0
Multi-objective Reinforcement Learning with Nonlinear Preferences: Provable Approximation for Maximizing Expected Scalarized Return—0
LLMs grasp morality in concept—0
FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound ScalingCode1
Post Turing: Mapping the landscape of LLM Evaluation—0
Multi-EuP: The Multilingual European Parliament Dataset for Analysis of Bias in Information RetrievalCode0
Responsible Emergent Multi-Agent Behavior—0
Evaluation Measures of Individual Item Fairness for Recommender Systems: A Critical StudyCode0
Improving Fairness using Vision-Language Driven Image AugmentationCode0
Better Fair than Sorry: Adversarial Missing Data Imputation for Fair GNNs—0
Dynamic Fair Federated Learning Based on Reinforcement Learning—0
Probing Explicit and Implicit Gender Bias through LLM Conditional Text Generation—0
Caseformer: Pre-training for Legal Case Retrieval Based on Inter-Case DistinctionsCode0
On the Opportunities of Green Computing: A Survey—0
Noise Correction on Subjective Datasets—0
FAIRLABEL: Correcting Bias in Labels—0
FairWASP: Fast and Optimal Fair Wasserstein Pre-processing—0
Parametric Fairness with Statistical Guarantees—0
Causal Context Connects Counterfactual Fairness to Robust Prediction and Group FairnessCode0
Causal Fair Metric: Bridging Causality, Individual Fairness, and Adversarial Robustness—0
On Measuring Fairness in Generative Models—0
Towards Practical Non-Adversarial Distribution Matching—0
Unmasking Bias in AI: A Systematic Review of Bias Detection and Mitigation Strategies in Electronic Health Record-based Models—0
Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data—0
Test Suites Task: Evaluation of Gender Fairness in MT with MuST-SHE and INES—0
Exploring the Reliability of Large Language Models as Customized Evaluators for Diverse NLP TasksCode0
N-Critics: Self-Refinement of Large Language Models with Ensemble of Critics—0
WCLD: Curated Large Dataset of Criminal Cases from Wisconsin Circuit Courts—0
Using Early Readouts to Mediate Featural Bias in Distillation—0
Prioritising Interactive Flows in Data Center Networks With Central Control—0
Weighted Sampled Split Learning (WSSL): Balancing Privacy, Robustness, and Fairness in Distributed Learning Environments—0
MCRAGE: Synthetic Healthcare Data for FairnessCode0
Do Not Harm Protected Groups in Debiasing Language Representation Models—0
DELPHI: Data for Evaluating LLMs' Performance in Handling Controversial IssuesCode1
Optimal Pricing for Data-Augmented AutoML Marketplaces—0
Proportional Fairness in Clustering: A Social Choice Perspective—0
On the Fairness ROAD: Robust Optimization for Adversarial DebiasingCode0
Counterfactual Fairness for Predictions using Generative Adversarial Networks—0
fairret: a Framework for Differentiable Fairness Regularization TermsCode1
Evaluating Bias and Fairness in Gender-Neutral Pretrained Vision-and-Language ModelsCode0
LeCaRDv2: A Large-Scale Chinese Legal Case Retrieval DatasetCode0
Causality-Inspired Fair Representation Learning for Multimodal RecommendationCode1
Corrupting Neuron Explanations of Deep Visual FeaturesCode0
On the Interplay between Fairness and Explainability—0
Identifying Reasons for Bias: An Argumentation-Based Approach—0
Data Optimization in Deep Learning: A SurveyCode1
MUSER: A Multi-View Similar Case Retrieval DatasetCode1
On Responsible Machine Learning Datasets with Fairness, Privacy, and Regulatory Norms—0
Deceptive Fairness Attacks on Graphs via Meta LearningCode0
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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