SOTAVerified

Fairness

Papers

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Showing 651–675 of 5676 papers

TitleStatusHype
BiasGuard: Guardrailing Fairness in Machine Learning Production SystemsCode0
Disentangling Popularity and Quality: An Edge Classification Approach for Fair Recommendation—0
Over-the-Air Fair Federated Learning via Multi-Objective OptimizationCode0
AFed: Algorithmic Fair Federated Learning—0
Knowledge Distillation with Adapted Weight—0
Proof-of-Data: A Consensus Protocol for Collaborative Intelligence—0
LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use CasesCode3
Fairness Through MatchingCode0
Representation Learning of Lab Values via Masked AutoEncoderCode0
Incentive-Compatible Federated Learning with Stackelberg Game Modeling—0
A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and ChallengesCode4
Exploring Equality: An Investigation into Custom Loss Functions for Fairness Definitions—0
Can Synthetic Data be Fair and Private? A Comparative Study of Synthetic Data Generation and Fairness Algorithms—0
FairSense: Long-Term Fairness Analysis of ML-Enabled SystemsCode0
Age-Based Device Selection and Transmit Power Optimization in Over-the-Air Federated Learning—0
ValuesRAG: Enhancing Cultural Alignment Through Retrieval-Augmented Contextual Learning—0
Regularized Proportional Fairness Mechanism for Resource Allocation Without Money—0
Is It Still Fair? Investigating Gender Fairness in Cross-Corpus Speech Emotion Recognition—0
Fortifying Federated Learning Towards Trustworthiness via Auditable Data Valuation and Verifiable Client Contribution—0
Revisiting Fairness in Multitask Learning: A Performance-Driven Approach for Variance Reduction—0
Deep Fair Multi-View Clustering with Attention KAN—0
On the Low-Complexity of Fair Learning for Combinatorial Multi-Armed Bandit—0
Unbiased GNN Learning via Fairness-Aware Subgraph Diffusion—0
Generalizing Trust: Weak-to-Strong Trustworthiness in Language Models—0
Efficient Multi-Task Inferencing with a Shared Backbone and Lightweight Task-Specific Adapters for Automatic Scoring—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