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Fairness

Papers

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Showing 4051–4100 of 5676 papers

TitleStatusHype
Large Scale Diverse Combinatorial Optimization: ESPN Fantasy Football Player Trades—0
Large-scale Reinforcement Learning for Diffusion Models—0
Latenrgy: Model Agnostic Latency and Energy Consumption Prediction for Binary Classifiers—0
Latent-CF: A Simple Baseline for Reverse Counterfactual Explanations—0
Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing—0
LCS-DIVE: An Automated Rule-based Machine Learning Visualization Pipeline for Characterizing Complex Associations in Classification—0
LEAD: Towards Learning-Based Equity-Aware Decarbonization in Ridesharing Platforms—0
Learner Referral for Cost-Effective Federated Learning Over Hierarchical IoT Networks—0
Learning and Fairness in Energy Harvesting: A Maximin Multi-Armed Bandits Approach—0
Learning Antidote Data to Individual Unfairness—0
Learning-Assisted User Clustering in Cell-Free Massive MIMO-NOMA Networks—0
Learning Based User Scheduling in Reconfigurable Intelligent Surface Assisted Multiuser Downlink—0
Learning by Grouping: A Multilevel Optimization Framework for Improving Fairness in Classification without Losing Accuracy—0
Learning Centric Power Allocation for Edge Intelligence—0
Learning Emergent Random Access Protocol for LEO Satellite Networks—0
Learning Emotional-Blinded Face Representations—0
Learning Fair And Effective Points-Based Rewards Programs—0
Learning Fair and Preferable Allocations through Neural Network—0
Learning Fair and Transferable Representations—0
Learning Fair Canonical Polyadical Decompositions using a Kernel Independence Criterion—0
Towards Reducing Biases in Combining Multiple Experts Online—0
Learning Fair Classifiers via Min-Max F-divergence Regularization—0
Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously—0
Learning Fairness-aware Relational Structures—0
Learning Fair Policies for Infectious Diseases Mitigation using Path Integral Control—0
Learning Fair Policies for Multi-stage Selection Problems from Observational Data—0
Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards—0
Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages—0
Learning Fair Scoring Functions: Bipartite Ranking under ROC-based Fairness Constraints—0
Learning Feature Disentanglement and Dynamic Fusion for Recaptured Image Forensic—0
Learning for Counterfactual Fairness from Observational Data—0
Learning from Mistakes: Self-Regularizing Hierarchical Representations in Point Cloud Semantic Segmentation—0
Learning from Peers: Deep Transfer Reinforcement Learning for Joint Radio and Cache Resource Allocation in 5G RAN Slicing—0
Generating Fair Universal Representations using Adversarial Models—0
Learning Human-like Representations to Enable Learning Human Values—0
Learning Individually Fair Classifier with Path-Specific Causal-Effect Constraint—0
Learning Optimal and Fair Policies for Online Allocation of Scarce Societal Resources from Data Collected in Deployment—0
Learning Optimal Fair Policies—0
Learning Optimal Fair Scoring Systems for Multi-Class Classification—0
Learning Pareto manifolds in high dimensions: How can regularization help?—0
Learning and DiSentangling Patient Static Information from Time-series Electronic HEalth Record (STEER)—0
Learning Resource Allocation Policies from Observational Data with an Application to Homeless Services Delivery—0
Learning Smooth and Fair Representations—0
Learning Social Fairness Preferences from Non-Expert Stakeholder Opinions in Kidney Placement—0
Learning Strategies in Decentralized Matching Markets under Uncertain Preferences—0
Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective—0
Learning Subjective Time-Series Data via Utopia Label Distribution Approximation—0
Learning to Assign: Towards Fair Task Assignment in Large-Scale Ride Hailing—0
Learning to Balance Altruism and Self-interest Based on Empathy in Mixed-Motive Games—0
Learning to Explore with Lagrangians for Bandits under Unknown Linear Constraints—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