SOTAVerified

Fairness

Papers

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Showing 3451–3475 of 5676 papers

TitleStatusHype
Fair Inference for Discrete Latent Variable Models—0
Improving Robust Fairness via Balance Adversarial Training—0
Efficient first-order predictor-corrector multiple objective optimization for fair misinformation detection—0
Accuracy, Fairness, and Interpretability of Machine Learning Criminal Recidivism Models—0
CAT: Controllable Attribute Translation for Fair Facial Attribute Classification—0
Data Privacy and Trustworthy Machine Learning—0
Fast online ranking with fairness of exposure—0
Concept-Based Explanations for Tabular Data—0
Investigating Bias with a Synthetic Data Generator: Empirical Evidence and Philosophical InterpretationCode0
Adversarial Inter-Group Link Injection Degrades the Fairness of Graph Neural NetworksCode0
Responsible AI Pattern Catalogue: A Collection of Best Practices for AI Governance and Engineering—0
Fairness in Forecasting of Observations of Linear Dynamical SystemsCode0
Random Isn't Always Fair: Candidate Set Imbalance and Exposure Inequality in Recommender Systems—0
It's Not Fairness, and It's Not Fair: The Failure of Distributional Equality and the Promise of Relational Equality in Complete-Information Hiring Games—0
Causal Intervention for Fairness in Multi-behavior Recommendation—0
Fair Matrix Factorisation for Large-Scale Recommender Systems—0
Who Pays? Personalization, Bossiness and the Cost of Fairness—0
Efficient Gender Debiasing of Pre-trained Indic Language Models—0
A Stakeholder-Centered View on Fairness in Music Recommender Systems—0
Analyzing the Effect of Sampling in GNNs on Individual FairnessCode0
FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems—0
Regulating eXplainable Artificial Intelligence (XAI) May Harm Consumers—0
Decoding Demographic un-fairness from Indian NamesCode0
Power of Explanations: Towards automatic debiasing in hate speech detectionCode0
Matching Consumer Fairness Objectives & Strategies for RecSys—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