SOTAVerified

Fairness

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2001–2050 of 5676 papers

TitleStatusHype
A Brief Tutorial on Sample Size Calculations for Fairness AuditsCode0
Temporal Fairness in Multiwinner Voting—0
SoK: Unintended Interactions among Machine Learning Defenses and RisksCode0
On the Impact of Multi-dimensional Local Differential Privacy on FairnessCode0
Stochastic-Constrained Stochastic Optimization with Markovian Data—0
On The Fairness Impacts of Hardware Selection in Machine Learning—0
Multi-Group Fairness Evaluation via Conditional Value-at-Risk Testing—0
f-FERM: A Scalable Framework for Robust Fair Empirical Risk MinimizationCode0
Fairness and Deception in Human Interactions with Artificial Agents—0
Seller-side Outcome Fairness in Online Marketplaces—0
Multi-Criteria Client Selection and Scheduling with Fairness Guarantee for Federated Learning Service—0
Multitask Learning Can Improve Worst-Group OutcomesCode0
FRAPPE: A Group Fairness Framework for Post-Processing Everything—0
Algorithmic Fairness with Feedback—0
DP-SGD-Global-Adapt-V2-S: Triad Improvements of Privacy, Accuracy and Fairness via Step Decay Noise Multiplier and Step Decay Upper Clipping Threshold—0
Inspecting Model Fairness in Ultrasound Segmentation Tasks—0
Detecting algorithmic bias in medical-AI models using trees—0
Explainable AI is Responsible AI: How Explainability Creates Trustworthy and Socially Responsible Artificial Intelligence—0
Risk-Controlling Model Selection via Guided Bayesian Optimization—0
Developing Linguistic Patterns to Mitigate Inherent Human Bias in Offensive Language DetectionCode0
Tackling Bias in Pre-trained Language Models: Current Trends and Under-represented Societies—0
Towards Mitigating Perceived Unfairness in Contracts from a Non-Legal Stakeholder's Perspective—0
Explaining Knock-on Effects of Bias Mitigation—0
Questioning Biases in Case Judgment Summaries: Legal Datasets or Large Language Models?—0
Removing Biases from Molecular Representations via Information MaximizationCode1
FFT: Towards Harmlessness Evaluation and Analysis for LLMs with Factuality, Fairness, ToxicityCode0
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework—0
A data-science pipeline to enable the Interpretability of Many-Objective Feature SelectionCode0
Toward the Tradeoffs between Privacy, Fairness and Utility in Federated Learning—0
ROBBIE: Robust Bias Evaluation of Large Generative Language Models—0
The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge DistillationCode0
Fair Text-to-Image Diffusion via Fair Mapping—0
Survey on AI Ethics: A Socio-technical Perspective—0
Utility Fairness in Contextual Dynamic Pricing with Demand Learning—0
MVBench: A Comprehensive Multi-modal Video Understanding BenchmarkCode2
Automated discovery of trade-off between utility, privacy and fairness in machine learning models—0
FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding—0
Aiming to Minimize Alcohol-Impaired Road Fatalities: Utilizing Fairness-Aware and Domain Knowledge-Infused Artificial Intelligence—0
Leveraging Diffusion Perturbations for Measuring Fairness in Computer VisionCode0
RAISE -- Radiology AI Safety, an End-to-end lifecycle approach—0
MedISure: Towards Assuring Machine Learning-based Medical Image Classifiers using Mixup Boundary Analysis—0
Learning Optimal and Fair Policies for Online Allocation of Scarce Societal Resources from Data Collected in Deployment—0
A Unified Framework for Fair Spectral Clustering With Effective Graph Learning—0
Algorithmic Fairness Generalization under Covariate and Dependence Shifts SimultaneouslyCode0
Enhancing Logical Reasoning in Large Language Models to Facilitate Legal Applications—0
Fair Polylog-Approximate Low-Cost Hierarchical Clustering—0
Adversarial Reweighting Guided by Wasserstein Distance for Bias Mitigation—0
Continuous Management of Machine Learning-Based Application BehaviorCode0
Designing Long-term Group Fair Policies in Dynamical Systems—0
Attacks on fairness in Federated LearningCode0
Show:102550
← PrevPage 41 of 114Next →
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