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Fairness

Papers

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Showing 3151–3200 of 5676 papers

TitleStatusHype
Fair Empirical Risk Minimization via Exponential Rényi Mutual Information—0
Fair Enough? A map of the current limitations of the requirements to have fair algorithms—0
FAIR-Ensemble: When Fairness Naturally Emerges From Deep Ensembling—0
FaiREO: User Group Fairness for Equality of Opportunity in Course Recommendation—0
Fairer and more accurate, but for whom?—0
Fairer and More Accurate Tabular Models Through NAS—0
FairerCLIP: Debiasing CLIP's Zero-Shot Predictions using Functions in RKHSs—0
FAIRER: Fairness as Decision Rationale Alignment—0
Fairer LP-based Online Allocation via Analytic Center—0
Fair Estimation of Capital Risk Allocation—0
FairEval: Evaluating Fairness in LLM-Based Recommendations with Personality Awareness—0
A Normative Framework for Benchmarking Consumer Fairness in Large Language Model Recommender System—0
Fair Exploration and Exploitation—0
Fair Exploration via Axiomatic Bargaining—0
FairFaceGAN: Fairness-aware Facial Image-to-Image Translation—0
FAIR: Fair Adversarial Instance Re-weighting—0
FAIR: Fairness-Aware Information Retrieval Evaluation—0
Fair Feature Distillation for Visual Recognition—0
Fair Feature Importance Scores for Interpreting Tree-Based Methods and Surrogates—0
Fair Feature Selection: A Comparison of Multi-Objective Genetic Algorithms—0
Fair Feature Subset Selection using Multiobjective Genetic Algorithm—0
FairFed: Enabling Group Fairness in Federated Learning—0
Fair Federated Medical Image Segmentation via Client Contribution Estimation—0
Fair Few-shot Learning with Auxiliary Sets—0
FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders—0
FairFly: A Fair Motion Planner for Fleets of Autonomous UAVs in Urban Airspace—0
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
Unified Adversarial Invariance—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
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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