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Fairness

Papers

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Showing 1101–1150 of 5676 papers

TitleStatusHype
Multi-Output Distributional Fairness via Post-Processing—0
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction—0
The Artificial Intelligence Act: critical overview—0
Fairness-Aware Estimation of Graphical ModelsCode0
Fair Best Arm Identification with Fixed ConfidenceCode0
How Knowledge Distillation Mitigates the Synthetic Gap in Fair Face RecognitionCode0
FineFACE: Fair Facial Attribute Classification Leveraging Fine-grained FeaturesCode0
AdapShare: An RL-Based Dynamic Spectrum Sharing Solution for O-RAN—0
A Catalog of Fairness-Aware Practices in Machine Learning Engineering—0
Meta-Learning Empowered Graph Neural Networks for Radio Resource Management—0
GradBias: Unveiling Word Influence on Bias in Text-to-Image Generative ModelsCode0
Self-Improving Diffusion Models with Synthetic Data—0
Responsible AI for Test Equity and Quality: The Duolingo English Test as a Case Study—0
Does Data-Efficient Generalization Exacerbate Bias in Foundation Models?—0
The effects of data preprocessing on probability of default model fairness—0
Using Backbone Foundation Model for Evaluating Fairness in Chest Radiography Without Demographic Data—0
Fairness, Accuracy, and Unreliable Data—0
Trustworthy and Responsible AI for Human-Centric Autonomous Decision-Making Systems—0
On Mobility Equity and the Promise of Emerging Transportation Systems—0
Ensuring Equitable Financial Decisions: Leveraging Counterfactual Fairness and Deep Learning for Bias—0
Examining the Interplay Between Privacy and Fairness for Speech Processing: A Review and Perspective—0
Post-processing fairness with minimal changes—0
CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper InfluenceCode1
Enhancing Fairness through Reweighting: A Path to Attain the Sufficiency Rule—0
Guardians of the Machine Translation Meta-Evaluation: Sentinel Metrics Fall In!Code1
Ensuring Fairness with Transparent Auditing of Quantitative Bias in AI Systems—0
Outlier Detection Bias Busted: Understanding Sources of Algorithmic Bias through Data-centric Factors—0
Submodular Maximization Approaches for Equitable Client Selection in Federated Learning—0
Exploring Bias and Prediction Metrics to Characterise the Fairness of Machine Learning for Equity-Centered Public Health Decision-Making: A Narrative Review—0
Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural NetworksCode0
Online Fair Division with Contextual Bandits—0
Temporal Fairness in Decision Making Problems—0
It's Not You, It's Me: The Impact of Choice Models and Ranking Strategies on Gender Imbalance in Music RecommendationCode0
Can Artificial Intelligence Embody Moral Values?—0
Towards measuring fairness in speech recognition: Fair-Speech dataset—0
Aligning (Medical) LLMs for (Counterfactual) FairnessCode0
Fair Augmentation for Graph Collaborative FilteringCode0
Rethinking Training for De-biasing Text-to-Image Generation: Unlocking the Potential of Stable Diffusion—0
Fair Combinatorial Auction for Blockchain Trade Intents: Being Fair without Knowing What is Fair—0
Dataset | Mindset = Explainable AI | Interpretable AI—0
GenderCARE: A Comprehensive Framework for Assessing and Reducing Gender Bias in Large Language ModelsCode1
A Constraint Programming Approach to Fair High School Course Scheduling—0
Applying and Evaluating Large Language Models in Mental Health Care: A Scoping Review of Human-Assessed Generative Tasks—0
Fairness measures for biometric quality assessment—0
Lookism: The overlooked bias in computer vision—0
Don't Kill the Baby: The Case for AI in Arbitration—0
Generating Synthetic Fair Syntax-agnostic Data by Learning and Distilling Fair Representation—0
LEAD: Towards Learning-Based Equity-Aware Decarbonization in Ridesharing Platforms—0
The Fairness-Quality Trade-off in Clustering—0
Strategic Demonstration Selection for Improved Fairness in LLM In-Context Learning—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