SOTAVerified

Fairness

Papers

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Showing 2151–2175 of 5676 papers

TitleStatusHype
A Sociotechnical View of Algorithmic Fairness—0
A Green Multi-Attribute Client Selection for Over-The-Air Federated Learning: A Grey-Wolf-Optimizer Approach—0
Fairness and Bias Mitigation in Computer Vision: A Survey—0
Fairness-aware Dynamic Hosting Capacity and the Impacts of Strategic Solar PV Curtailment—0
Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions—0
Comparative Evaluation of Multiagent Learning Algorithms in a Diverse Set of Ad Hoc Team Problems—0
A Sociotechnical Lens for Evaluating Computer Vision Models: A Case Study on Detecting and Reasoning about Gender and Emotion—0
Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer's disease from MR images—0
Comparative Analysis of Multi-Agent Reinforcement Learning Policies for Crop Planning Decision Support—0
A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem—0
A Graph-based Approach for Mitigating Multi-sided Exposure Bias in Recommender Systems—0
Compact Argumentation Frameworks—0
Common Ground, Diverse Roots: The Difficulty of Classifying Common Examples in Spanish Varieties—0
Asking an AI for salary negotiation advice is a matter of concern: Controlled experimental perturbation of ChatGPT for protected and non-protected group discrimination on a contextual task with no clear ground truth answers—0
Commonality in Recommender Systems: Evaluating Recommender Systems to Enhance Cultural Citizenship—0
ComFairGNN: Community Fair Graph Neural Network—0
A single-loop SPIDER-type stochastic subgradient method for expectation-constrained nonconvex nonsmooth optimization—0
AGR: Age Group fairness Reward for Bias Mitigation in LLMs—0
A Critical Survey on Fairness Benefits of Explainable AI—0
Combining Machine Learning Defenses without Conflicts—0
Combining Adversaries with Anti-adversaries in Training—0
Combinatorial Sleeping Bandits with Fairness Constraints—0
Fair Combinatorial Auction for Blockchain Trade Intents: Being Fair without Knowing What is Fair—0
A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective—0
A short review of the main concerns in A.I. development and application within the public sector supported by NLP and TM—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