SOTAVerified

Fairness

Papers

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Showing 1351–1375 of 5676 papers

TitleStatusHype
Justice in Healthcare Artificial Intelligence in Africa—0
Evaluating ChatGPT-4 Vision on Brazil's National Undergraduate Computer Science ExamCode0
The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Pre-trained Language ModelsCode1
Disentangling Dialect from Social Bias via Multitask Learning to Improve FairnessCode0
The World Wide recipe: A community-centred framework for fine-grained data collection and regional bias operationalisationCode0
FADE: Towards Fairness-aware Augmentation for Domain Generalization via Classifier-Guided Score-based Diffusion Models—0
Label Noise Robustness for Domain-Agnostic Fair Corrections via Nearest Neighbors Label Spreading—0
Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior—0
FairCoT: Enhancing Fairness in Diffusion Models via Chain of Thought Reasoning of Multimodal Language Models—0
What is Fair? Defining Fairness in Machine Learning for HealthCode0
A Large-scale Universal Evaluation Benchmark For Face Forgery DetectionCode1
CUER: Corrected Uniform Experience Replay for Off-Policy Continuous Deep Reinforcement Learning Algorithms—0
AIM: Attributing, Interpreting, Mitigating Data UnfairnessCode0
Ad Auctions for LLMs via Retrieval Augmented Generation—0
Underneath the Numbers: Quantitative and Qualitative Gender Fairness in LLMs for Depression Prediction—0
Judging the Judges: A Systematic Study of Position Bias in LLM-as-a-JudgeCode0
The Max-Min Formulation of Multi-Objective Reinforcement Learning: From Theory to a Model-Free AlgorithmCode0
A Sociotechnical Lens for Evaluating Computer Vision Models: A Case Study on Detecting and Reasoning about Gender and Emotion—0
Fast solution to the fair ranking problem using the Sinkhorn algorithm—0
Test-Time Fairness and Robustness in Large Language Models—0
Just Because We Camp, Doesn't Mean We Should: The Ethics of Modelling Queer Voices—0
Fairness-Aware Meta-Learning via Nash Bargaining—0
MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models—0
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges—0
Enrolment-based personalisation for improving individual-level fairness in speech emotion recognitionCode0
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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