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Fairness

Papers

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Showing 3051–3100 of 5676 papers

TitleStatusHype
Causal Fairness Assessment of Treatment Allocation with Electronic Health Records—0
Fairness Increases Adversarial Vulnerability—0
Cultural Re-contextualization of Fairness Research in Language Technologies in India—0
Bursting the Burden Bubble? An Assessment of Sharma et al.'s Counterfactual-based Fairness MetricCode0
Deep Learning on a Healthy Data Diet: Finding Important Examples for FairnessCode0
A survey on knowledge-enhanced multimodal learning—0
Social Diversity Reduces the Complexity and Cost of Fostering Fairness—0
On the Alignment of Group Fairness with Attribute Privacy—0
Distributionally Robust Survival Analysis: A Novel Fairness Loss Without DemographicsCode0
A Fair Loss Function for Network PruningCode0
FairMILE: Towards an Efficient Framework for Fair Graph Representation LearningCode0
Holistic Evaluation of Language ModelsCode4
Mitigating Urban-Rural Disparities in Contrastive Representation Learning with Satellite ImageryCode0
Auditing Algorithmic Fairness in Machine Learning for Health with Severity-Based LOGAN—0
Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders—0
Scalar Invariant Networks with Zero Bias—0
On Energy Efficiency and Fairness Maximization in RIS-Assisted MU-MISO mmWave Communications—0
On Penalization in Stochastic Multi-armed Bandits—0
A Survey on Preserving Fairness Guarantees in Changing Environments—0
Assessing Uncertainty in Similarity Scoring: Performance & Fairness in Face Recognition—0
Early Diagnosis of Chronic Obstructive Pulmonary Disease from Chest X-Rays using Transfer Learning and Fusion Strategies—0
Long bet will lose: demystifying seemingly fair gambling via two-armed Futurity bandit—0
Dark patterns in e-commerce: a dataset and its baseline evaluationsCode1
RISE: Robust Individualized Decision Learning with Sensitive VariablesCode0
Identifying, measuring, and mitigating individual unfairness for supervised learning models and application to credit risk models—0
Practical Approaches for Fair Learning with Multitype and Multivariate Sensitive Attributes—0
Nano: Nested Human-in-the-Loop Reward Learning for Few-shot Language Model ControlCode0
Casual Conversations v2: Designing a large consent-driven dataset to measure algorithmic bias and robustness—0
Fairness and bias correction in machine learning for depression prediction: results from four study populationsCode0
Debiasing Methods for Fairer Neural Models in Vision and Language Research: A Survey—0
Discrimination and Class Imbalance Aware Online Naive Bayes—0
Reinforcement Learning with Stepwise Fairness Constraints—0
Bridging Fairness and Environmental Sustainability in Natural Language Processing—0
Towards Algorithmic Fairness in Space-Time: Filling in Black Holes—0
Investigating Fairness Disparities in Peer Review: A Language Model Enhanced ApproachCode1
Predicting Treatment Adherence of Tuberculosis Patients at Scale—0
HERB: Measuring Hierarchical Regional Bias in Pre-trained Language ModelsCode1
Fairness-aware Regression Robust to Adversarial Attacks—0
Uncertainty-aware predictive modeling for fair data-driven decisions—0
Fair and Efficient Distributed Edge Learning with Hybrid Multipath TCP—0
Fairness in Federated Learning via Core-Stability—0
Making Machine Learning Datasets and Models FAIR for HPC: A Methodology and Case Study—0
Fair and Optimal Classification via Post-ProcessingCode1
Can Querying for Bias Leak Protected Attributes? Achieving Privacy With Smooth Sensitivity—0
Client Selection in Federated Learning: Principles, Challenges, and Opportunities—0
Stability of clinical prediction models developed using statistical or machine learning methods—0
Balancing Utility and Fairness in Submodular Maximization (Technical Report)Code0
Fair Visual Recognition via Intervention with Proxy Features—0
Rethinking and Improving Robustness of Convolutional Neural Networks: a Shapley Value-based Approach in Frequency DomainCode1
Fairness without Demographics through Knowledge DistillationCode0
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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