SOTAVerified

Fairness

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2751–2800 of 5676 papers

TitleStatusHype
Measuring Self-Preferencing on Digital Platforms—0
Cross-utterance ASR Rescoring with Graph-based Label Propagation—0
Zero-shot Model Diagnosis—0
FairGAT: Fairness-aware Graph Attention Networks—0
Achieving Counterfactual Fairness with Imperfect Structural Causal ModelCode0
CFA: Class-wise Calibrated Fair Adversarial TrainingCode1
Using Simple Incentives to Improve Two-Sided Fairness in Ridesharing SystemsCode0
Fairness meets Cross-Domain Learning: a new perspective on Models and MetricsCode0
Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint—0
Fairness-guided Few-shot Prompting for Large Language Models—0
Semantic Image Attack for Visual Model Diagnosis—0
Fairness: from the ethical principle to the practice of Machine Learning development as an ongoing agreement with stakeholders—0
HAPS-UAV-Enabled Heterogeneous Networks: A Deep Reinforcement Learning Approach—0
Predicting and Enhancing the Fairness of DNNs with the Curvature of Perceptual ManifoldsCode1
Fairness Improves Learning from Noisily Labeled Long-Tailed Data—0
Better Understanding Differences in Attribution Methods via Systematic EvaluationsCode1
Counterfactually Fair Regression with Double Machine Learning—0
Bias mitigation techniques in image classification: fair machine learning in human heritage collections—0
Fairness-Aware Graph Filter Design—0
Bridging the Global Divide in AI Regulation: A Proposal for a Contextual, Coherent, and Commensurable Framework—0
PFSL: Personalized & Fair Split Learning with Data & Label Privacy for thin clientsCode1
Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences between Pretrained Generative ModelsCode0
DeAR: Debiasing Vision-Language Models with Additive Residuals—0
Factoring the Matrix of Domination: A Critical Review and Reimagination of Intersectionality in AI Fairness—0
Fairness-aware Differentially Private Collaborative Filtering—0
FairAdaBN: Mitigating unfairness with adaptive batch normalization and its application to dermatological disease classificationCode0
Fair Off-Policy Learning from Observational Data—0
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML—0
DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervisionCode1
Graph Neural Network Surrogates of Fair Graph Filtering—0
Beyond Demographic Parity: Redefining Equal Treatment—0
A Study on Bias and Fairness In Deep Speaker Recognition—0
Are Models Trained on Indian Legal Data Fair?—0
Addressing Biases in the Texts using an End-to-End Pipeline Approach—0
Collision Cross-entropy for Soft Class Labels and Deep Clustering—0
P-MMF: Provider Max-min Fairness Re-ranking in Recommender SystemCode0
No-regret Algorithms for Fair Resource Allocation—0
Assessing gender fairness in EEG-based machine learning detection of Parkinson's disease: A multi-center studyCode0
Weighted Notions of Fairness with Binary Supermodular Chores—0
Fairness-enhancing deep learning for ride-hailing demand prediction—0
A fixed point approach for computing actuarially fair Pareto optimal risk-sharing rules—0
Identification of Systematic Errors of Image Classifiers on Rare Subgroups—0
Using Positive Matching Contrastive Loss with Facial Action Units to mitigate bias in Facial Expression Recognition—0
The Casual Conversations v2 Dataset—0
HappyMap: A Generalized Multi-calibration Method—0
Bias, diversity, and challenges to fairness in classification and automated text analysis. From libraries to AI and back—0
Causal Dependence Plots—0
Group conditional validity via multi-group learning—0
Chasing Fairness Under Distribution Shift: A Model Weight Perturbation ApproachCode0
Privacy-Preserving Fair Item Ranking—0
Show:102550
← PrevPage 56 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