SOTAVerified

Fairness

Papers

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Showing 651–700 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
Proof-of-Data: A Consensus Protocol for Collaborative Intelligence—0
Fairness Through MatchingCode0
LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use CasesCode3
Knowledge Distillation with Adapted Weight—0
Incentive-Compatible Federated Learning with Stackelberg Game Modeling—0
Representation Learning of Lab Values via Masked AutoEncoderCode0
A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and ChallengesCode4
FairSense: Long-Term Fairness Analysis of ML-Enabled SystemsCode0
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
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
Two Birds with One Stone: Improving Rumor Detection by Addressing the Unfairness Issue—0
Efficient Multi-Task Inferencing with a Shared Backbone and Lightweight Task-Specific Adapters for Automatic Scoring—0
Blockchain-Empowered Cyber-Secure Federated Learning for Trustworthy Edge Computing—0
Towards Effective Discrimination Testing for Generative AICode0
FairDiffusion: Enhancing Equity in Latent Diffusion Models via Fair Bayesian PerturbationCode1
Impact of Data Distribution on Fairness Guarantees in Equitable Deep LearningCode0
KVC-onGoing: Keystroke Verification ChallengeCode0
INFELM: In-depth Fairness Evaluation of Large Text-To-Image Models—0
Implementing Trust in Non-Small Cell Lung Cancer Diagnosis with a Conformalized Uncertainty-Aware AI Framework in Whole-Slide ImagesCode0
An experimental study on fairness-aware machine learning for credit scoring problem—0
Calibre: Towards Fair and Accurate Personalized Federated Learning with Self-Supervised LearningCode3
MAFT: Efficient Model-Agnostic Fairness Testing for Deep Neural Networks via Zero-Order Gradient Search—0
Towards a Single ASR Model That Generalizes to Disordered Speech—0
From Interests to Insights: An LLM Approach to Course Recommendations Using Natural Language QueriesCode0
Latenrgy: Model Agnostic Latency and Energy Consumption Prediction for Binary Classifiers—0
Whose Morality Do They Speak? Unraveling Cultural Bias in Multilingual Language Models—0
IUST_PersonReId: A New Domain in Person Re-Identification DatasetsCode1
Agents on the Bench: Large Language Model Based Multi Agent Framework for Trustworthy Digital Justice—0
ELEVATE-GenAI: Reporting Guidelines for the Use of Large Language Models in Health Economics and Outcomes Research: an ISPOR Working Group on Generative AI Report—0
Antenna Health-Aware Selective Beamforming for Hardware-Constrained DFRC Systems I—0
Fair Knowledge Tracing in Second Language Acquisition—0
Examining Imbalance Effects on Performance and Demographic Fairness of Clinical Language Models—0
Constructing Fair Latent Space for Intersection of Fairness and Explainability—0
Dynamic Scheduling Strategies for Resource Optimization in Computing Environments—0
Fair and Accurate Regression: Strong Formulations and Algorithms—0
Fairness in Reinforcement Learning with Bisimulation Metrics—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