SOTAVerified

Fairness

Papers

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Showing 4851–4900 of 5676 papers

TitleStatusHype
Counterfactual Fair Opportunity: Measuring Decision Model Fairness with Counterfactual Reasoning—0
Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals—0
Counterfactually Fair Regression with Double Machine Learning—0
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing—0
Counterfactual Multi-Token Fairness in Text Classification—0
Counterfactual Reasoning for Fair Clinical Risk Prediction—0
Integrating Fairness and Model Pruning Through Bi-level Optimization—0
CO-VADA: A Confidence-Oriented Voice Augmentation Debiasing Approach for Fair Speech Emotion Recognition—0
Covariance-Robust Dynamic Watermarking—0
Coverage and Spectral Efficiency of NOMA-Enabled LEO Satellite Networks with Ordering Schemes—0
Creating a Discipline-specific Commons for Infectious Disease Epidemiology—0
Creating Fair Models of Atherosclerotic Cardiovascular Disease Risk—0
Credit Risk Meets Large Language Models: Building a Risk Indicator from Loan Descriptions in P2P Lending—0
Critical windows: non-asymptotic theory for feature emergence in diffusion models—0
Cross Layer Optimization and Distributed Reinforcement Learning for Wireless 360° Video Streaming—0
Cross-utterance ASR Rescoring with Graph-based Label Propagation—0
Crowd, Lending, Machine, and Bias—0
Crowd-SFT: Crowdsourcing for LLM Alignment—0
Crowdsourcing with Fairness, Diversity and Budget Constraints—0
Cubic-Regularized Newton for Spectral Constrained Matrix Optimization and its Application to Fairness—0
CUER: Corrected Uniform Experience Replay for Off-Policy Continuous Deep Reinforcement Learning Algorithms—0
Cultural Re-contextualization of Fairness Research in Language Technologies in India—0
Cultural Value Alignment in Large Language Models: A Prompt-based Analysis of Schwartz Values in Gemini, ChatGPT, and DeepSeek—0
CUPID: Improving Battle Fairness and Position Satisfaction in Online MOBA Games with a Re-matchmaking System—0
Current state of LLM Risks and AI Guardrails—0
Curse of "Low" Dimensionality in Recommender Systems—0
CYCle: Choosing Your Collaborators Wisely to Enhance Collaborative Fairness in Decentralized Learning—0
DACSR: Decoupled-Aggregated End-to-End Calibrated Sequential Recommendation—0
DADI: Dynamic Discovery of Fair Information with Adversarial Reinforcement Learning—0
Dancing in the Shadows: Harnessing Ambiguity for Fairer Classifiers—0
Data Acquisition for Improving Model Fairness using Reinforcement Learning—0
Data-Algorithm-Architecture Co-Optimization for Fair Neural Networks on Skin Lesion Dataset—0
Data Augmentation for Personal Knowledge Base Population—0
Data Augmentation via Diffusion Model to Enhance AI Fairness—0
Data Augmentation via Subgroup Mixup for Improving Fairness—0
Data Bias Management—0
Data Cleaning for Accurate, Fair, and Robust Models: A Big Data - AI Integration Approach—0
Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective—0
Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations—0
Data-Driven Combined Central and Distributed Volt/Var Control in Active Distribution Networks—0
Data-driven Distributed Control to Scale EV Integration into Power Grid—0
Data-driven, Internet-inspired, and Scalable EV Charging for Power Distribution Grid—0
Data Generation via Latent Factor Simulation for Fairness-aware Re-ranking—0
Data Justice in Practice: A Guide for Developers—0
Data Management for Causal Algorithmic Fairness—0
Data Obfuscation through Latent Space Projection (LSP) for Privacy-Preserving AI Governance: Case Studies in Medical Diagnosis and Finance Fraud Detection—0
Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Models—0
Data Preparation for Fairness-Performance Trade-Offs: A Practitioner-Friendly Alternative?—0
Data Privacy and Trustworthy Machine Learning—0
Data Readiness for AI: A 360-Degree Survey—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