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Fairness

Papers

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Showing 1851–1900 of 5676 papers

TitleStatusHype
Global-Liar: Factuality of LLMs over Time and Geographic Regions—0
Bridging Human Concepts and Computer Vision for Explainable Face Verification—0
Trust and ethical considerations in a multi-modal, explainable AI-driven chatbot tutoring system: The case of collaboratively solving Rubik's Cube—0
Graph Fairness Learning under Distribution Shifts—0
Effective Controllable Bias Mitigation for Classification and Retrieval using Gate AdaptersCode0
Credit Risk Meets Large Language Models: Building a Risk Indicator from Loan Descriptions in P2P Lending—0
FedFair^3: Unlocking Threefold Fairness in Federated Learning—0
Geospatial Disparities: A Case Study on Real Estate Prices in ParisCode0
Continual Learning with Pre-Trained Models: A SurveyCode4
Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity—0
Distribution-Specific Auditing For Subgroup Fairness—0
SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models—0
FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently—0
A structured regression approach for evaluating model performance across intersectional subgroups—0
Beyond Behaviorist Representational Harms: A Plan for Measurement and Mitigation—0
Improving Fairness of Automated Chest X-ray Diagnosis by Contrastive LearningCode0
A New Paradigm for Counterfactual Reasoning in Fairness and Recourse—0
Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective—0
Can I trust my fake data -- A comprehensive quality assessment framework for synthetic tabular data in healthcare—0
Robustness in Fairness against Edge-level Perturbations in GNN-based RecommendationCode0
Reranking individuals: The effect of fair classification within-groups—0
Causal Perception—0
Benchmarking the Fairness of Image Upsampling MethodsCode0
MOReGIn: Multi-Objective Recommendation at the Global and Individual Levels—0
MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information LeakageCode0
Generative AI Triggers Welfare-Reducing Decisions in Humans—0
Falcon: Fair Active Learning using Multi-armed BanditsCode0
Red Teaming Visual Language Models—0
DAFA: Distance-Aware Fair Adversarial TrainingCode0
LLpowershap: Logistic Loss-based Automated Shapley Values Feature Selection MethodCode0
Unambiguous Efficiency of Random Allocations—0
Graph Condensation: A SurveyCode2
A Vision-Language Foundation Model to Enhance Efficiency of Chest X-ray InterpretationCode3
Large-scale Reinforcement Learning for Diffusion Models—0
Long-Term Fair Decision Making through Deep Generative ModelsCode0
Efficient Data Shapley for Weighted Nearest Neighbor Algorithms—0
Understanding Biases in ChatGPT-based Recommender Systems: Provider Fairness, Temporal Stability, and RecencyCode0
Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach—0
Mitigating Position Bias with Regularization for Recommender Systems—0
Towards providing reliable job completion time predictions using PCSCode0
Analyzing and Mitigating Bias for Vulnerable Classes: Towards Balanced Representation in Dataset—0
On the Readiness of Scientific Data for a Fair and Transparent Use in Machine Learning—0
Gender Bias in Machine Translation and The Era of Large Language Models—0
Enhancing the Fairness and Performance of Edge Cameras with Explainable AI—0
Biases in Expected Goals Models Confound Finishing Ability—0
Model Compression Techniques in Biometrics Applications: A SurveyCode0
A Novel Approach to Fair Power Allocation for NOMA in Visible Light Communication—0
Statistical Analysis and Optimization of a Fifth-Percentile User Rate Constrained Design for FFR/SFR-Aided OFDMA-Based Cellular Networks—0
Performance Analysis and Optimisation of FFR-Aided OFDMA Networks using Channel-Aware Scheduling—0
UOEP: User-Oriented Exploration Policy for Enhancing Long-Term User Experiences in Recommender SystemsCode1
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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