SOTAVerified

Fairness

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 4251–4300 of 5676 papers

TitleStatusHype
Measuring Unfairness through Game-Theoretic Interpretability—0
Mechanistic interpretability of large language models with applications to the financial services industry—0
MedISure: Towards Assuring Machine Learning-based Medical Image Classifiers using Mixup Boundary Analysis—0
Meritocratic Fairness for Cross-Population Selection—0
Meta Clustering for Collaborative Learning—0
Meta-Heuristic Fronthaul Bit Allocation for Cell-free Massive MIMO Systems—0
Meta-Learning Empowered Graph Neural Networks for Radio Resource Management—0
Meta-Learning for Federated Face Recognition in Imbalanced Data Regimes—0
METAL: Metamorphic Testing Framework for Analyzing Large-Language Model Qualities—0
Metamorphic Testing for Fairness Evaluation in Large Language Models: Identifying Intersectional Bias in LLaMA and GPT—0
Meta Optimality for Demographic Parity Constrained Regression via Post-Processing—0
Meta-Reinforcement Learning for Fast and Data-Efficient Spectrum Allocation in Dynamic Wireless Networks—0
Method of Equal Shares with Bounded Overspending—0
Methodological Blind Spots in Machine Learning Fairness: Lessons from the Philosophy of Science and Computer Science—0
Metric-Fair Classifier Derandomization—0
Metric-Free Individual Fairness in Online Learning—0
Metric-Free Individual Fairness with Cooperative Contextual Bandits—0
Metrics and methods for a systematic comparison of fairness-aware machine learning algorithms—0
Microfinance in Thailand: Navigating Challenges and Unlocking Opportunities—0
Migrate Demographic Group For Fair GNNs—0
MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset—0
Mind the Gap: A Causal Perspective on Bias Amplification in Prediction & Decision-Making—0
Mind the Graph When Balancing Data for Fairness or Robustness—0
Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets—0
Minimax Demographic Group Fairness in Federated Learning—0
Minimax Group Fairness in Strategic Classification—0
Mirror Prox Algorithm for Large-Scale Cell-Free Massive MIMO Uplink Power Control—0
MIST: Mitigating Intersectional Bias with Disentangled Cross-Attention Editing in Text-to-Image Diffusion Models—0
Mitigate Bias in Face Recognition using Skewness-Aware Reinforcement Learning—0
Mitigating Algorithmic Bias in Multiclass CNN Classifications Using Causal Modeling—0
Mitigating Bias in Face Recognition Using Skewness-Aware Reinforcement Learning—0
Mitigating Bias in Facial Recognition Systems: Centroid Fairness Loss Optimization—0
Mitigating Bias in Federated Learning—0
Mitigating Bias in Online Microfinance Platforms: A Case Study on Kiva.org—0
Mitigating Bias in Visual Transformers via Targeted Alignment—0
Mitigating Bias Using Model-Agnostic Data Attribution—0
Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis—0
Mitigating Degree Bias in Signed Graph Neural Networks—0
Differentially Private Clustered Federated Learning—0
Mitigating federated learning contribution allocation instability through randomized aggregation—0
Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders—0
Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal—0
Mitigating Gender Bias in Machine Learning Data Sets—0
Mitigating Group Bias in Federated Learning for Heterogeneous Devices—0
Mitigating Group-Level Fairness Disparities in Federated Visual Language Models—0
Mitigating Health Disparities in EHR via Deconfounder—0
A Machine Learning Model for Predicting, Diagnosing, and Mitigating Health Disparities in Hospital Readmission—0
A Counterfactual Fair Model for Longitudinal Electronic Health Records via Deconfounder—0
Mitigating Label Bias in Machine Learning: Fairness through Confident Learning—0
Mitigating Label Bias via Decoupled Confident Learning—0
Show:102550
← PrevPage 86 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