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Fairness

Papers

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Showing 5451–5500 of 5676 papers

TitleStatusHype
Fair for a few: Improving Fairness in Doubly Imbalanced Datasets—0
Fair for All: Best-effort Fairness Guarantees for Classification—0
Fair Forests: Regularized Tree Induction to Minimize Model Bias—0
Fair Foundation Models for Medical Image Analysis: Challenges and Perspectives—0
FairGAN: Fairness-aware Generative Adversarial Networks—0
Fair GANs through model rebalancing for extremely imbalanced class distributions—0
FairGAT: Fairness-aware Graph Attention Networks—0
FairGen: Towards Fair Graph Generation—0
Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior—0
Fair Grading Algorithms for Randomized Exams—0
Fair Graph Neural Network with Supervised Contrastive Regularization—0
Fair Group-Shared Representations with Normalizing Flows—0
Fairguard: Harness Logic-based Fairness Rules in Smart Cities—0
Fair Hate Speech Detection through Evaluation of Social Group Counterfactuals—0
Fair Hierarchical Clustering—0
Fair Inference for Discrete Latent Variable Models—0
Fair inference on error-prone outcomes—0
Fair Inference On Outcomes—0
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting—0
Fair Influence Maximization: A Welfare Optimization Approach—0
Fair Inputs and Fair Outputs: The Incompatibility of Fairness in Privacy and Accuracy—0
Fair in the Eyes of Others—0
FaiR-IoT: Fairness-aware Human-in-the-Loop Reinforcement Learning for Harnessing Human Variability in Personalized IoT—0
FairJudge: Trustworthy User Prediction in Rating Platforms—0
Fair k-Centers via Maximum Matching—0
Fair Kernel Learning—0
Fair Knowledge Tracing in Second Language Acquisition—0
FAIRLABEL: Correcting Bias in Labels—0
Fair Labeled Clustering—0
Fairlearn: Assessing and Improving Fairness of AI Systems—0
CONFAIR: Configurable and Interpretable Algorithmic Fairness—0
Inference-time Stochastic Ranking with Risk Control—0
Fair learning with Wasserstein barycenters for non-decomposable performance measures—0
Fair lending needs explainable models for responsible recommendation—0
FairLENS: Assessing Fairness in Law Enforcement Speech Recognition—0
FairLens: Auditing Black-box Clinical Decision Support Systems—0
FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing—0
FairLoRA: Unpacking Bias Mitigation in Vision Models with Fairness-Driven Low-Rank Adaptation—0
Fairly Accurate: Learning Optimal Accuracy vs. Fairness Tradeoffs for Hate Speech Detection—0
Fairly Accurate: Optimizing Accuracy Parity in Fair Target-Group Detection—0
Fairly Adaptive Negative Sampling for Recommendations—0
Fairly Allocating Utility in Constrained Multiwinner Elections—0
Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning—0
Fairly Private: Investigating The Fairness of Visual Privacy Preservation Algorithms—0
FairlyUncertain: A Comprehensive Benchmark of Uncertainty in Algorithmic Fairness—0
Fair Machine Learning for Healthcare Requires Recognizing the Intersectionality of Sociodemographic Factors, a Case Study—0
Fair Machine Learning in Healthcare: A Review—0
Fair mapping—0
FairMatch: A Graph-based Approach for Improving Aggregate Diversity in Recommender Systems—0
Fair Matrix Factorisation for Large-Scale Recommender Systems—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