SOTAVerified

Fairness

Papers

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Showing 1151–1200 of 5676 papers

TitleStatusHype
Fairness Under Cover: Evaluating the Impact of Occlusions on Demographic Bias in Facial RecognitionCode0
Using ChatGPT to Score Essays and Short-Form Constructed Responses—0
Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously—0
Fairness-Aware Streaming Feature Selection with Causal GraphsCode0
PADetBench: Towards Benchmarking Physical Attacks against Object DetectionCode1
Fairness Issues and Mitigations in (Differentially Private) Socio-Demographic Data Processes—0
A Multivocal Literature Review on Privacy and Fairness in Federated Learning—0
Mitigating Degree Bias in Signed Graph Neural Networks—0
When Prompting Fails to Sway: Inertia in Moral and Value Judgments of Large Language ModelsCode0
Federated Fairness Analytics: Quantifying Fairness in Federated LearningCode0
Meta-Learning for Federated Face Recognition in Imbalanced Data Regimes—0
BMFT: Achieving Fairness via Bias-based Weight Masking Fine-tuningCode0
Unveiling the Flaws: A Critical Analysis of Initialization Effect on Time Series Anomaly Detection—0
Approximating Discrimination Within Models When Faced With Several Non-Binary Sensitive AttributesCode0
Contexts Matter: An Empirical Study on Contextual Influence in Fairness Testing for Deep Learning SystemsCode0
Diffuse-UDA: Addressing Unsupervised Domain Adaptation in Medical Image Segmentation with Appearance and Structure Aligned Diffusion Models—0
CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarningCode0
Differentially Private Data Release on Graphs: Inefficiencies and Unfairness—0
Mitigating Exposure Bias in Online Learning to Rank Recommendation: A Novel Reward Model for Cascading BanditsCode0
Quantifying the Impact of Population Shift Across Age and Sex for Abdominal Organ Segmentation—0
The Data Addition DilemmaCode0
Editable Fairness: Fine-Grained Bias Mitigation in Language Models—0
AutoFAIR : Automatic Data FAIRification via Machine Reading—0
New fairness criteria for truncated ballots in multi-winner ranked-choice electionsCode0
Multimodal Gender Fairness in Depression Prediction: Insights on Data from the USA & China—0
Improving Large Language Model (LLM) fidelity through context-aware grounding: A systematic approach to reliability and veracity—0
Sequential Conditional Transport on Probabilistic Graphs for Interpretable Counterfactual FairnessCode0
A Conceptual Framework for Ethical Evaluation of Machine Learning Systems—0
Bargaining via Weber's law—0
Fairness and Bias Mitigation in Computer Vision: A Survey—0
Peer-induced Fairness: A Causal Approach for Algorithmic Fairness AuditingCode0
Randomized Transport Plans via Hierarchical Fully Probabilistic Design—0
Rethinking Affect Analysis: A Protocol for Ensuring Fairness and ConsistencyCode0
Strategic Analysis of Fair Rank-Minimizing Mechanisms with Agent Refusal Option—0
Fair Risk Minimization under Causal Path-Specific Effect Constraints—0
Responsible AI Question Bank: A Comprehensive Tool for AI Risk Assessment—0
Towards Fair Roads -- Manifesto For Fairness Paradigm in Traffic Engineering—0
Fairness in Large Language Models in Three HoursCode1
Load Balancing in Federated Learning—0
"Patriarchy Hurts Men Too." Does Your Model Agree? A Discussion on Fairness Assumptions—0
Embracing Fairness in Consumer Electricity Markets using an Automatic Market MakerCode0
On Biases in a UK Biobank-based Retinal Image Classification ModelCode0
A2SF: Accumulative Attention Scoring with Forgetting Factor for Token Pruning in Transformer Decoder—0
Trade-offs in Reliability and Performance Using Selective Beamforming for Ultra-Massive MIMO—0
Can Editing LLMs Inject Harm?Code1
Gender, Race, and Intersectional Bias in Resume Screening via Language Model Retrieval—0
Reproducibility Study of "ITI-GEN: Inclusive Text-to-Image Generation"Code0
AI-Driven Healthcare: A Review on Ensuring Fairness and Mitigating Bias—0
VersusDebias: Universal Zero-Shot Debiasing for Text-to-Image Models via SLM-Based Prompt Engineering and Generative AdversaryCode0
Towards Secure and Private AI: A Framework for Decentralized Inference—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