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Fairness

Papers

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Showing 3701–3750 of 5676 papers

TitleStatusHype
Towards Poisoning Fair Representations—0
Towards Practical Non-Adversarial Distribution Matching—0
Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation—0
Towards Reliable Assessments of Demographic Disparities in Multi-Label Image Classifiers—0
Towards Responsible AI: A Design Space Exploration of Human-Centered Artificial Intelligence User Interfaces to Investigate Fairness—0
Towards Responsible AI: Advances in Safety, Fairness, and Accountability of Autonomous Systems—0
Towards responsible AI for education: Hybrid human-AI to confront the Elephant in the room—0
Towards Responsible AI for Financial Transactions—0
Towards Responsible AI in Banking: Addressing Bias for Fair Decision-Making—0
Towards Responsible AI Music: an Investigation of Trustworthy Features for Creative Systems—0
Towards Robust and Fair Vision Learning in Open-World Environments—0
Towards robust and speculation-reduction real estate pricing models based on a data-driven strategy—0
Towards Soft Fairness in Restless Multi-Armed Bandits—0
Towards Standardizing AI Bias Exploration—0
Towards Substantive Conceptions of Algorithmic Fairness: Normative Guidance from Equal Opportunity Doctrines—0
Towards the Right Kind of Fairness in AI—0
Towards Threshold Invariant Fair Classification—0
Towards TMA-Based Transmissive RIS Transceiver Enabled Downlink Communication Networks: A Consensus-ADMM Approach—0
Towards Trustworthy AI-Empowered Real-Time Bidding for Online Advertisement Auctioning—0
Towards Trustworthy and Aligned Machine Learning: A Data-centric Survey with Causality Perspectives—0
Towards Trustworthy Edge Intelligence: Insights from Voice-Activated Services—0
Towards Trustworthy Federated Learning—0
Toward Sufficient Statistical Power in Algorithmic Bias Assessment: A Test for ABROCA—0
Towards Unbiased Federated Graph Learning: Label and Topology Perspectives—0
Towards unraveling calibration biases in medical image analysis—0
Towards User-Centered Metrics for Trustworthy AI in Immersive Cyberspace—0
Fairness-Oriented User Scheduling for Bursty Downlink Transmission Using Multi-Agent Reinforcement Learning—0
Toward the Tradeoffs between Privacy, Fairness and Utility in Federated Learning—0
Toward Understanding Bias Correlations for Mitigation in NLP—0
TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property—0
TRACE: Trajectory-Constrained Concept Erasure in Diffusion Models—0
Tracking and Improving Information in the Service of Fairness—0
Trade-offs in Reliability and Performance Using Selective Beamforming for Ultra-Massive MIMO—0
Trading-off price for data quality to achieve fair online allocation—0
Trading the System Efficiency for the Income Equality of Drivers in Rideshare—0
Traffic Priority-Aware 5G NR-U/Wi-Fi Coexistence with Deep Reinforcement Learning—0
Training BatchNorm Only in Neural Architecture Search and Beyond—0
FairIF: Boosting Fairness in Deep Learning via Influence Functions with Validation Set Sensitive Attributes—0
Training Over-parameterized Models with Non-decomposable Objectives—0
TransFair: Transferring Fairness from Ocular Disease Classification to Progression Prediction—0
Transferable Fairness for Cold-Start Recommendation—0
Transfer of Machine Learning Fairness across Domains—0
Transformer-Based Power Optimization for Max-Min Fairness in Cell-Free Massive MIMO—0
Transformers in Healthcare: A Survey—0
Transforming disaster risk reduction with AI and big data: Legal and interdisciplinary perspectives—0
Transitioning from Real to Synthetic data: Quantifying the bias in model—0
Transparency and Explainability of a Machine Learning Model in the Context of Human Resource Management—0
Transparency, Privacy, and Fairness in Recommender Systems—0
Transparency Tools for Fairness in AI (Luskin)—0
Transparent AI: Developing an Explainable Interface for Predicting Postoperative Complications—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