SOTAVerified

Fairness

Papers

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Showing 1726–1750 of 5676 papers

TitleStatusHype
Bias Mitigation in Fine-tuning Pre-trained Models for Enhanced Fairness and Efficiency—0
AXOLOTL: Fairness through Assisted Self-Debiasing of Large Language Model Outputs—0
Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language ModelsCode1
Theoretically Achieving Continuous Representation of Oriented Bounding BoxesCode3
Investigating Gender Fairness in Machine Learning-driven Personalized Care for Chronic Pain—0
Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective—0
Classes Are Not Equal: An Empirical Study on Image Recognition Fairness—0
On the Inductive Biases of Demographic Parity-based Fair Learning AlgorithmsCode0
Few-Shot Fairness: Unveiling LLM's Potential for Fairness-Aware Classification—0
[RE] Modeling Personalized Item Frequency Information for Next-basket RecommendationCode0
Supervised machine learning for microbiomics: bridging the gap between current and best practicesCode0
Achievable Fairness on Your Data With Utility GuaranteesCode0
Preserving Fairness Generalization in Deepfake DetectionCode2
Towards Fairness-Aware Adversarial LearningCode0
FairBelief - Assessing Harmful Beliefs in Language Models—0
Towards Explainability and Fairness in Swiss Judgement Prediction: Benchmarking on a Multilingual Dataset—0
Conformalized Selective Regression—0
Distribution-Free Fair Federated Learning with Small Samples—0
Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and EvaluationCode1
Optimal Budget Aggregation with Star-Shaped Preferences—0
Fair Resource Allocation in Multi-Task LearningCode1
Differentially Private Fair Binary ClassificationsCode0
Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency—0
Item-side Fairness of Large Language Model-based Recommendation SystemCode0
Scalable and Provably Fair Exposure Control for Large-Scale Recommender SystemsCode0
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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