SOTAVerified

Fairness

Papers

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Showing 1401–1450 of 5676 papers

TitleStatusHype
Beyond Demographic Parity: Redefining Equal Treatment—0
Demographic-Reliant Algorithmic Fairness: Characterizing the Risks of Demographic Data Collection in the Pursuit of Fairness—0
Demonstrating Rosa: the fairness solution for any Data Analytic pipeline—0
Demonstrating the Feasibility of Automatic Game Balancing—0
Demonstration of effective UCB-based routing in skill-based queues on real-world data—0
DemOpts: Fairness corrections in COVID-19 case prediction models—0
COOR-PLT: A hierarchical control model for coordinating adaptive platoons of connected and autonomous vehicles at signal-free intersections based on deep reinforcement learning—0
Demystifying Deep Neural Networks Through Interpretation: A Survey—0
A Survey on Bias and Fairness in Natural Language Processing—0
Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing—0
Demystifying the Effects of Non-Independence in Federated Learning—0
Algorithms, Incentives, and Democracy—0
Deontic Temporal Logic for Formal Verification of AI Ethics—0
Adaptation Speed Analysis for Fairness-aware Causal Models—0
Deriva-ML: A Continuous FAIRness Approach to Reproducible Machine Learning Models—0
Desiderata for Explainable AI in statistical production systems of the European Central Bank—0
Design and Evaluation of Deep Learning-Based Dual-Spectrum Image Fusion Methods—0
She had Cobalt Blue Eyes: Prompt Testing to Create Aligned and Sustainable Language Models—0
A Video-based Detector for Suspicious Activity in Examination with OpenPose—0
Achieving Fairness Across Local and Global Models in Federated Learning—0
Designing Fair AI for Managing Employees in Organizations: A Review, Critique, and Design Agenda—0
Designing Fairness in Autonomous Peer-to-peer Energy Trading—0
Do LLM Agents Exhibit Social Behavior?—0
Designing Long-term Group Fair Policies in Dynamical Systems—0
Design Principles of Robust Multi-Armed Bandit Framework in Video Recommendations—0
Detecting algorithmic bias in medical-AI models using trees—0
Detecting Shortcut Learning for Fair Medical AI using Shortcut Testing—0
Image Counterfactual Sensitivity Analysis for Detecting Unintended Bias—0
Detecting Prefix Bias in LLM-based Reward Models—0
Detecting Unforeseen Data Properties with Diffusion Autoencoder Embeddings using Spine MRI data—0
Detection and Mitigation of Bias in Ted Talk Ratings—0
Detection of Groups with Biased Representation in Ranking—0
Developing A Fair Individualized Polysocial Risk Score (iPsRS) for Identifying Increased Social Risk of Hospitalizations in Patients with Type 2 Diabetes (T2D)—0
Developing and Deploying Industry Standards for Artificial Intelligence in Education (AIED): Challenges, Strategies, and Future Directions—0
BACSA: A Bias-Aware Client Selection Algorithm for Privacy-Preserving Federated Learning in Wireless Healthcare Networks—0
Developing a Philosophical Framework for Fair Machine Learning: Lessons From The Case of Algorithmic Collusion—0
Don't Forget What I did?: Assessing Client Contributions in Federated Learning—0
DIF: A Framework for Benchmarking and Verifying Implicit Bias in LLMs—0
DifFaiRec: Generative Fair Recommender with Conditional Diffusion Model—0
Different Horses for Different Courses: Comparing Bias Mitigation Algorithms in ML—0
Differentiable Optimal Adversaries for Learning Fair Representations—0
Differential Adjusted Parity for Learning Fair Representations—0
Differentially Private and Fair Classification via Calibrated Functional Mechanism—0
Differentially Private and Fair Deep Learning: A Lagrangian Dual Approach—0
Differentially Private Data Release on Graphs: Inefficiencies and Unfairness—0
Differentially Empirical Risk Minimization under the Fairness Lens—0
Coordinated Multi-Armed Bandits for Improved Spatial Reuse in Wi-Fi—0
Differentially Private Empirical Risk Minimization under the Fairness Lens—0
Differentially Private Fair Learning—0
Cooperative IoT Data Sharing with Heterogeneity of Participants Based on Electricity Retail—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