SOTAVerified

Fairness

Papers

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Showing 1326–1350 of 5676 papers

TitleStatusHype
De-amplifying Bias from Differential Privacy in Language Model Fine-tuning—0
A Survey on Fairness-aware Recommender Systems—0
Detecting Prefix Bias in LLM-based Reward Models—0
Detection and Mitigation of Bias in Ted Talk Ratings—0
Debate Dynamics for Human-comprehensible Fact-checking on Knowledge Graphs—0
Debias-CLR: A Contrastive Learning Based Debiasing Method for Algorithmic Fairness in Healthcare Applications—0
Costs and Benefits of Fair Regression—0
AI Ethics: A Bibliometric Analysis, Critical Issues, and Key Gaps—0
De-biased Representation Learning for Fairness with Unreliable Labels—0
Debiasing classifiers: is reality at variance with expectation?—0
A Unified Approach to Fair Online Learning via Blackwell Approachability—0
Debiasing Diffusion Model: Enhancing Fairness through Latent Representation Learning in Stable Diffusion Model—0
Debiasing Graph Representation Learning based on Information Bottleneck—0
Correlated Equilibria for Approximate Variational Inference in MRFs—0
Debiasing Methods for Fairer Neural Models in Vision and Language Research: A Survey—0
Debiasing Neural Retrieval via In-batch Balancing Regularization—0
Debiasing Pretrained Text Encoders by Paying Attention to Paying Attention—0
A Unified Framework for Evaluating the Effectiveness and Enhancing the Transparency of Explainable AI Methods in Real-World Applications—0
Debias the Black-box: A Fair Ranking Framework via Knowledge Distillation—0
A Unified Framework for Fair Spectral Clustering With Effective Graph Learning—0
Core-Stable Committees under Restricted Domains—0
DECAF: Learning to be Fair in Multi-agent Resource Allocation—0
DeCAP: Context-Adaptive Prompt Generation for Debiasing Zero-shot Question Answering in Large Language Models—0
DECASTE: Unveiling Caste Stereotypes in Large Language Models through Multi-Dimensional Bias Analysis—0
Detecting algorithmic bias in medical-AI models using trees—0
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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