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Fairness

Papers

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Showing 4251–4300 of 5676 papers

TitleStatusHype
A New Notion of Individually Fair Clustering: α-Equitable k-CenterCode0
Fairness-Aware Node Representation Learning—0
Fair Disaster Containment via Graph-Cut Problems—0
Deep Clustering based Fair Outlier DetectionCode1
Benchmarking Bias Mitigation Algorithms in Representation Learning through Fairness MetricsCode1
Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning—0
FairCal: Fairness Calibration for Face Verification—0
Highlighting the Importance of Reducing Research Bias and Carbon Emissions in CNNs—0
Path-specific Effects Based on Information Accounts of Causality—0
PreferenceNet: Encoding Human Preferences in Auction Design with Deep LearningCode1
Conditional Contrastive Learning for Improving Fairness in Self-Supervised Learning—0
Tetrad: Actively Secure 4PC for Secure Training and Inference—0
Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning—0
Strategyproof Learning: Building Trustworthy User-Generated DatasetsCode0
Fair Exploration via Axiomatic Bargaining—0
Differentially Empirical Risk Minimization under the Fairness Lens—0
Towards Equal Gender Representation in the Annotations of Toxic Language Detection—0
Towards Fairness Certification in Artificial Intelligence—0
Fairness-Aware Unsupervised Feature Selection—0
Subgroup Fairness in Two-Sided MarketsCode0
Causality in Neural Networks -- An Extended Abstract—0
Fair Machine Learning under Limited Demographically Labeled DataCode0
Optimizing Rankings for Recommendation in Matching Markets—0
NODE-GAM: Neural Generalized Additive Model for Interpretable Deep LearningCode1
Fair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning PipelineCode1
Testing Group Fairness via Optimal Transport Projections—0
Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and Communicating the Uncertainty of AICode1
Zipf Matrix Factorization : Matrix Factorization with Matthew Effect ReductionCode0
FiSH: Fair Spatial Hotspots—0
Improving Compositionality of Neural Networks by Decoding Representations to Inputs—0
Information Theoretic Measures for Fairness-aware Feature Selection—0
A Clarification of the Nuances in the Fairness Metrics LandscapeCode0
Fair Clustering Using Antidote Data—0
Reinforcement Learning-based Dynamic Service Placement in Vehicular Networks—0
Using Pareto Simulated Annealing to Address Algorithmic Bias in Machine Learning—0
Rawlsian Fair Adaptation of Deep Learning Classifiers—0
Unifying Distillation with Personalization in Federated Learning—0
Demographic Fairness in Biometric Systems: What do the Experts say?—0
SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-LearningCode1
DISSECT: Disentangled Simultaneous Explanations via Concept TraversalsCode1
Enumerating Fair Packages for Group RecommendationsCode0
Deep Fair Discriminative ClusteringCode0
Fair Representations by Compression—0
FAWOS: Fairness-Aware Oversampling Algorithm Based on Distributions of Sensitive AttributesCode0
Fair Feature Distillation for Visual Recognition—0
Private Recommender Systems: How Can Users Build Their Own Fair Recommender Systems without Log Data?Code1
Bias in Machine Learning Software: Why? How? What to do?Code1
FNAS: Uncertainty-Aware Fast Neural Architecture Search—0
Bridging the Gap Between Explainable AI and Uncertainty Quantification to Enhance Trustability—0
Bayesian Nonparametric Reinforcement Learning in LTE and Wi-Fi Coexistence—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