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Fairness

Papers

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Showing 551–600 of 5676 papers

TitleStatusHype
AI Agent Behavioral Science—0
Learning Fair And Effective Points-Based Rewards Programs—0
When Fairness Isn't Statistical: The Limits of Machine Learning in Evaluating Legal Reasoning—0
Beamforming and Resource Allocation for Delay Optimization in RIS-Assisted OFDM Systems—0
A Pre-trained Framework for Multilingual Brain Decoding Using Non-invasive Recordings—0
Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review—0
Refined Metrics, Sensing Limits, and Resource Allocation in OTFS-RSMA LEO ISAC—0
Enhancing Convergence, Privacy and Fairness for Wireless Personalized Federated Learning: Quantization-Assisted Min-Max Fair Scheduling—0
Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling—0
Selecting for Less Discriminatory Algorithms: A Relational Search Framework for Navigating Fairness-Accuracy Trade-offs in Practice—0
Stochastically Dominant Peer Prediction—0
AI Data Development: A Scorecard for the System Card Framework—0
A Reinforcement Learning Approach for RIS-aided Fair Communications—0
The Disparate Effects of Partial Information in Bayesian Strategic Learning—0
On Fairness of Task Arithmetic: The Role of Task Vectors—0
Simulating Training Data Leakage in Multiple-Choice Benchmarks for LLM EvaluationCode0
A note on the Diversity Owen values—0
Balancing Profit and Fairness in Risk-Based Pricing Markets—0
Online Fair Division with Additional Information—0
A Computational Approach to Improving Fairness in K-means Clustering—0
BIRD: Behavior Induction via Representation-structure Distillation—0
Identity resolution of software metadata using Large Language Models—0
Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer's disease from MR images—0
Optimizing Connectivity and Scheduling of Near/Far Field Users in Massive MIMO NOMA System—0
Towards Reward Fairness in RLHF: From a Resource Allocation PerspectiveCode0
Evaluating the Efficacy of LLM-Based Reasoning for Multiobjective HPC Job Scheduling—0
TRACE: Trajectory-Constrained Concept Erasure in Diffusion Models—0
Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMsCode0
BiasFilter: An Inference-Time Debiasing Framework for Large Language Models—0
From Coders to Critics: Empowering Students through Peer Assessment in the Age of AI Copilots—0
Private Rate-Constrained Optimization with Applications to Fair Learning—0
LLM-ODDR: A Large Language Model Framework for Joint Order Dispatching and Driver Repositioning—0
CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning—0
Online Fair Division for Personalized 2-Value Instances—0
Talent or Luck? Evaluating Attribution Bias in Large Language ModelsCode0
Humble AI in the real-world: the case of algorithmic hiring—0
Recovering Fairness Directly from Modularity: a New Way for Fair Community Partitioning—0
Subgroups Matter for Robust Bias MitigationCode0
Fairness in Federated Learning: Fairness for Whom?—0
Beyond Explainability: The Case for AI Validation—0
OFDMA for Pinching Antenna Systems—0
Graph Guided Diffusion: Unified Guidance for Conditional Graph Generation—0
Fairness Practices in Industry: A Case Study in Machine Learning Teams Building Recommender Systems—0
My Answer Is NOT 'Fair': Mitigating Social Bias in Vision-Language Models via Fair and Biased Residuals—0
Improving Recommendation Fairness without Sensitive Attributes Using Multi-Persona LLMs—0
Causality and "In-the-Wild" Video-Based Person Re-ID: A Survey—0
Logic Gate Neural Networks are Good for VerificationCode0
A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks—0
Effort-aware Fairness: Incorporating a Philosophy-informed, Human-centered Notion of Effort into Algorithmic Fairness Metrics—0
Preserving AUC Fairness in Learning with Noisy Protected GroupsCode0
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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