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Fairness

Papers

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Showing 2651–2700 of 5676 papers

TitleStatusHype
Data-Driven Fairness Generalization for Deepfake Detection—0
Automated Data Slicing for Model Validation:A Big data - AI Integration Approach—0
Deep Fair Multi-View Clustering with Attention KAN—0
Deep Fair Learning: A Unified Framework for Fine-tuning Representations with Sufficient Networks—0
Algorithmic Fairness in Performative Policy Learning: Escaping the Impossibility of Group Fairness—0
DeepFair: Deep Learning for Improving Fairness in Recommender Systems—0
AutoFAIR : Automatic Data FAIRification via Machine Reading—0
Auto-Drafting Police Reports from Noisy ASR Outputs: A Trust-Centered LLM Approach—0
Algorithmic Fairness in Face Morphing Attack Detection—0
DP-SGD-Global-Adapt-V2-S: Triad Improvements of Privacy, Accuracy and Fairness via Step Decay Noise Multiplier and Step Decay Upper Clipping Threshold—0
Deep Bayesian Trust : A Dominant and Fair Incentive Mechanism for Crowd—0
Decoupled classifiers for fair and efficient machine learning—0
Auto-Debias: Debiasing Masked Language Models with Automated Biased Prompts—0
Algorithmic Fairness in Education—0
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models—0
Algorithmic Fairness in Business Analytics: Directions for Research and Practice—0
Adding guardrails to advanced chatbots—0
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression—0
Tensor Completion with Provable Consistency and Fairness Guarantees for Recommender Systems—0
Decision Making with Differential Privacy under a Fairness Lens—0
Algorithmic Fairness from a Non-ideal Perspective—0
Deciding What's Fair: Challenges of Applying Reinforcement Learning in Online Marketplaces—0
Decentralized Smart Charging of Large-Scale EVs using Adaptive Multi-Agent Multi-Armed Bandits—0
A Low-Delay MAC for IoT Applications: Decentralized Optimal Scheduling of Queues without Explicit State Information Sharing—0
A Unified View of Group Fairness Tradeoffs Using Partial Information Decomposition—0
Algorithmic Fairness: A Tolerance Perspective—0
Decentralized Annuity: A Quest for the Holy Grail of Lifetime Financial Security—0
DECASTE: Unveiling Caste Stereotypes in Large Language Models through Multi-Dimensional Bias Analysis—0
Probabilistic ML Verification via Weighted Model Integration—0
DeCAP: Context-Adaptive Prompt Generation for Debiasing Zero-shot Question Answering in Large Language Models—0
DECAF: Learning to be Fair in Multi-agent Resource Allocation—0
A Unified Framework for Input Feature Attribution Analysis—0
Algorithmic Fairness and Vertical Equity: Income Fairness with IRS Tax Audit Models—0
"Favoring my playmate seems fair": Inhibitory control and theory of mind in preschoolers' self-disadvantaging behaviors—0
Favoring Eagerness for Remaining Items: Designing Efficient, Fair, and Strategyproof Mechanisms—0
A Unified Framework for Fair Spectral Clustering With Effective Graph Learning—0
fAux: Testing Individual Fairness via Gradient Alignment—0
Fault Tolerance of Neural Networks in Adversarial Settings—0
Fault Diagnosis of Discrete-Event Systems under Non-Deterministic Observations with Output Fairness—0
Debias the Black-box: A Fair Ranking Framework via Knowledge Distillation—0
A Unified Framework for Evaluating the Effectiveness and Enhancing the Transparency of Explainable AI Methods in Real-World Applications—0
Algorithmic Fairness and Statistical Discrimination—0
Ad Auctions for LLMs via Retrieval Augmented Generation—0
A3:Ambiguous Aberrations Captured via Astray-Learning for Facial Forgery Semantic Sublimation—0
Investigating the Relationship Between Debiasing and Artifact Removal using Saliency Maps—0
When Fairness Meets Privacy: Exploring Privacy Threats in Fair Binary Classifiers via Membership Inference Attacks—0
FEAMOE: Fair, Explainable and Adaptive Mixture of Experts—0
FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems—0
Feature-based Individual Fairness in k-Clustering—0
Debiasing Pretrained Text Encoders by Paying Attention to Paying Attention—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