SOTAVerified

Fairness

Papers

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Showing 4951–5000 of 5676 papers

TitleStatusHype
Deep Reinforcement Learning for Efficient and Fair Allocation of Health Care Resources—0
Deep Reinforcement Learning for Wireless Resource Allocation Using Buffer State Information—0
Defining and Evaluating Fair Natural Language Generation—0
Defining bias in AI-systems: Biased models are fair models—0
Defining the Collective Intelligence Supply Chain—0
Degradation-Infused Energy Portfolio Allocation Framework: Risk-Averse Fair Storage Participation—0
Deletion-Robust Submodular Maximization at Scale—0
Demand-Aware Beam Hopping and Power Allocation for Load Balancing in Digital Twin empowered LEO Satellite Networks—0
Democratize with Care: The need for fairness specific features in user-interface based open source AutoML tools—0
Demographic Fairness in Biometric Systems: What do the Experts say?—0
Demographic Fairness in Face Identification: The Watchlist Imbalance Effect—0
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
DemoShapley: Valuation of Demonstrations for In-Context Learning—0
Demystifying Deep Neural Networks Through Interpretation: A Survey—0
Demystifying the Effects of Non-Independence in Federated Learning—0
Deontic Temporal Logic for Formal Verification of AI Ethics—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
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
Designing for Human Rights in AI—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
Developing a Philosophical Framework for Fair Machine Learning: Lessons From The Case of Algorithmic Collusion—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
Differentially Private Empirical Risk Minimization under the Fairness Lens—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