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Fairness

Papers

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Showing 351–400 of 5676 papers

TitleStatusHype
FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound ScalingCode1
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image AnalysisCode1
Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel ManifoldCode1
Bias and Fairness in Large Language Models: A SurveyCode1
Achieving Fairness at No Utility Cost via Data Reweighing with InfluenceCode1
Federated Learning for Generalization, Robustness, Fairness: A Survey and BenchmarkCode1
Federated Learning with Taskonomy for Non-IID DataCode1
Ditto: Fair and Robust Federated Learning Through PersonalizationCode1
A Stochastic Optimization Framework for Fair Risk MinimizationCode1
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness MethodsCode1
FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class AssociationsCode1
Flames: Benchmarking Value Alignment of LLMs in ChineseCode1
Beyond Skin Tone: A Multidimensional Measure of Apparent Skin ColorCode1
Bias in Machine Learning Software: Why? How? What to do?Code1
From Parity to Preference-based Notions of Fairness in ClassificationCode1
From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP ModelsCode1
Genetic programming approaches to learning fair classifiersCode1
Global Concept Explanations for Graphs by Contrastive LearningCode1
CAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network for Network Intrusion DetectionCode1
Better Understanding Differences in Attribution Methods via Systematic EvaluationsCode1
BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text GenerationCode1
Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity NormalizationCode1
An Approach to Ensure Fairness in News ArticlesCode1
High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detectionCode1
Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the CloudCode1
Hurtful Words: Quantifying Biases in Clinical Contextual Word EmbeddingsCode1
ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug DiscoveryCode1
Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICsCode1
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute LeakageCode1
Towards Fair Graph Neural Networks via Graph CounterfactualCode1
Improving Recommendation Fairness via Data AugmentationCode1
Improving the Fairness of Chest X-ray ClassifiersCode1
Achieving Fairness Through Channel Pruning for Dermatological Disease DiagnosisCode1
On Disentangled Representations Learned From Correlated DataCode1
Benchmarking Bias Mitigation Algorithms in Representation Learning through Fairness MetricsCode1
IUST_PersonReId: A New Domain in Person Re-Identification DatasetsCode1
AutoBalance: Optimized Loss Functions for Imbalanced DataCode1
A Constrained Multi-Agent Reinforcement Learning Approach to Autonomous Traffic Signal ControlCode1
Augmentations in Hypergraph Contrastive Learning: Fabricated and GenerativeCode1
AugmentedPCA: A Python Package of Supervised and Adversarial Linear Factor ModelsCode1
Learning Certified Individually Fair RepresentationsCode1
Learning Fair Classifiers with Partially Annotated Group LabelsCode1
Learning Fair Node Representations with Graph Counterfactual FairnessCode1
Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement LearningCode1
Learning Interpretable Legal Case Retrieval via Knowledge-Guided Case ReformulationCode1
Learning Optimal Fair Classification Trees: Trade-offs Between Interpretability, Fairness, and AccuracyCode1
Learning Resilient Radio Resource Management Policies with Graph Neural NetworksCode1
Learning the Pareto Front with HypernetworksCode1
BAD: BiAs Detection for Large Language Models in the context of candidate screeningCode1
A survey on datasets for fairness-aware machine learningCode1
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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