SOTAVerified

Fairness

Papers

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Showing 2951–3000 of 5676 papers

TitleStatusHype
Pilot Contamination Aware Transformer for Downlink Power Control in Cell-Free Massive MIMO Networks—0
Pipeline Interventions—0
PipeSim: Trace-driven Simulation of Large-Scale AI Operations Platforms—0
PI-Whisper: Designing an Adaptive and Incremental Automatic Speech Recognition System for Edge Devices—0
Planning and Synthesis Under Assumptions—0
PLS-based approach for fair representation learning—0
Pluralistic Alignment Over Time—0
PluralLLM: Pluralistic Alignment in LLMs via Federated Learning—0
Pointwise Representational Similarity—0
Poisoning Attacks on Fair Machine Learning—0
Political-LLM: Large Language Models in Political Science—0
Political representation bias in DBpedia and Wikidata as a challenge for downstream processing—0
Distribution-Specific Auditing For Subgroup Fairness—0
Pooling of Causal Models under Counterfactual Fairness via Causal Judgement Aggregation—0
Posing Fair Generalization Tasks for Natural Language Inference—0
Position: Bayesian Statistics Facilitates Stakeholder Participation in Evaluation of Generative AI—0
Position Paper: Assessing Robustness, Privacy, and Fairness in Federated Learning Integrated with Foundation Models—0
Positive-Sum Fairness: Leveraging Demographic Attributes to Achieve Fair AI Outcomes Without Sacrificing Group Gains—0
Post-Fair Federated Learning: Achieving Group and Community Fairness in Federated Learning via Post-processing—0
Post-hoc Study of Climate Microtargeting on Social Media Ads with LLMs: Thematic Insights and Fairness Evaluation—0
Post-processing Counterexample-guided Fairness Guarantees in Neural Networks—0
Post-processing fairness with minimal changes—0
Post-processing of Differentially Private Data: A Fairness Perspective—0
Post Turing: Mapping the landscape of LLM Evaluation—0
Power Allocation for Delay Optimization in Device-to-Device Networks: A Graph Reinforcement Learning Approach—0
Power Allocation in Cache-Aided NOMA Systems: Optimization and Deep Reinforcement Learning Approaches—0
Power Control for Multigroup Multicast Cell-Free Massive MIMO Downlink—0
Practical Adversarial Attacks Against AI-Driven Power Allocation in a Distributed MIMO Network—0
Practical Approaches for Fair Learning with Multitype and Multivariate Sensitive Attributes—0
Practical Bias Mitigation through Proxy Sensitive Attribute Label Generation—0
Practical Compositional Fairness: Understanding Fairness in Multi-Component Recommender Systems—0
Practitioners Versus Users: A Value-Sensitive Evaluation of Current Industrial Recommender System Design—0
PRECISION: Decentralized Constrained Min-Max Learning with Low Communication and Sample Complexities—0
Precision psychiatry: predicting predictability—0
Precoder Learning for Weighted Sum Rate Maximization—0
Predictability and Fairness in Load Aggregation and Operations of Virtual Power Plants—0
Predictability and Fairness in Load Aggregation with Deadband—0
Predictability and Fairness in Social Sensing—0
(Predictable) Performance Bias in Unsupervised Anomaly Detection—0
Predicting Early Dropout: Calibration and Algorithmic Fairness Considerations—0
Predicting Fairness of ML Software Configurations—0
Predicting Treatment Adherence of Tuberculosis Patients at Scale—0
Prediction Instability in Machine Learning Ensembles—0
Prediction Sensitivity: Continual Audit of Counterfactual Fairness in Deployed Classifiers—0
Predictive Heterogeneity: Measures and Applications—0
Predict Responsibly: Increasing Fairness by Learning to Defer—0
Preference-Informed Fairness—0
Preserving Fairness in AI under Domain Shift—0
Preserving Task-Relevant Information Under Linear Concept Removal—0
Pretrained AI Models: Performativity, Mobility, and Change—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