SOTAVerified

Fairness

Papers

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Showing 1601–1650 of 5676 papers

TitleStatusHype
Interpretability in Symbolic Regression: a benchmark of Explanatory Methods using the Feynman data set—0
DRoP: Distributionally Robust PruningCode0
Initial Exploration of Zero-Shot Privacy Utility Tradeoffs in Tabular Data Using GPT-4—0
Data Stream Sampling with Fuzzy Task Boundaries and Noisy LabelsCode0
Msmsfnet: a multi-stream and multi-scale fusion net for edge detection—0
Inference-Time Rule Eraser: Fair Recognition via Distilling and Removing Biased Rules—0
Super Apps and the Digital Markets Act—0
Impact of Fairness Regulations on Institutions' Policies and Population Qualifications—0
A Novel Terabit Grid-of-Beam Optical Wireless Multi-User Access Network with Beam Clustering—0
Algorithmic Fairness and Social Welfare—0
Enhancing Breast Cancer Diagnosis in Mammography: Evaluation and Integration of Convolutional Neural Networks and Explainable AI—0
Accurately Classifying Out-Of-Distribution Data in Facial Recognition—0
An ExplainableFair Framework for Prediction of Substance Use Disorder Treatment Completion—0
Learning Social Fairness Preferences from Non-Expert Stakeholder Opinions in Kidney Placement—0
Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers—0
Balancing Efficiency and Equity in Classroom Assignment under Endogenous Peer Effects—0
Dynamic Resource Allocation with Karma: An Experimental Study—0
Towards detecting unanticipated bias in Large Language Models—0
FAIRM: Learning invariant representations for algorithmic fairness and domain generalization with minimax optimalityCode0
Incentives in Private Collaborative Machine Learning—0
Procedural Fairness in Machine LearningCode0
Cooperative Evolutionary Pressure and Diminishing Returns Might Explain the Fermi Paradox: On What Super-AIs Are Like—0
Towards an In-Depth Comprehension of Case Relevance for Better Legal Retrieval—0
Resolute and symmetric mechanisms for two-sided matching problems—0
Fair MP-BOOST: Fair and Interpretable Minipatch Boosting—0
Advancing AI with Integrity: Ethical Challenges and Solutions in Neural Machine Translation—0
The Double-Edged Sword of Input Perturbations to Robust Accurate Fairness—0
Fairness in Large Language Models: A Taxonomic Survey—0
Analysis of Fairness-promoting Optimization Schemes of Photovoltaic Curtailments for Voltage Regulation in Power Distribution Networks—0
On Accessibility Fairness in Intermodal Autonomous Mobility-on-Demand Systems—0
Addressing Both Statistical and Causal Gender Fairness in NLP ModelsCode0
FairCLIP: Harnessing Fairness in Vision-Language LearningCode2
FairRAG: Fair Human Generation via Fair Retrieval Augmentation—0
Implications of the AI Act for Non-Discrimination Law and Algorithmic Fairness—0
MIST: Mitigating Intersectional Bias with Disentangled Cross-Attention Editing in Text-to-Image Diffusion Models—0
Meta-Heuristic Fronthaul Bit Allocation for Cell-free Massive MIMO Systems—0
Evaluating Fair Feature Selection in Machine Learning for Healthcare—0
Fairness in Ranking: Robustness through Randomization without the Protected AttributeCode0
Equity in Healthcare: Analyzing Disparities in Machine Learning Predictions of Diabetic Patient Readmissions—0
Minimax Optimal Fair Classification with Bounded Demographic DisparityCode0
Looking Beyond What You See: An Empirical Analysis on Subgroup Intersectional Fairness for Multi-label Chest X-ray Classification Using Social Determinants of Racial Health Inequities—0
Modeling Sustainable City Trips: Integrating CO2e Emissions, Popularity, and Seasonality into Tourism Recommender Systems—0
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable ObjectivesCode0
Many-Objective Evolutionary Influence Maximization: Balancing Spread, Budget, Fairness, and TimeCode1
The Pursuit of Fairness in Artificial Intelligence Models: A Survey—0
Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease PatientsCode1
Search and Society: Reimagining Information Access for Radical Futures—0
Counterfactual Fairness through Transforming Data Orthogonal to Bias—0
Can Large Language Models (or Humans) Disentangle Text?Code0
From Discrete to Continuous: Deep Fair Clustering With Transferable Representations—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