SOTAVerified

Fairness

Papers

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Showing 4451–4500 of 5676 papers

TitleStatusHype
Attribute-Centric Compositional Text-to-Image Generation—0
Attribution Projection Calculus: A Novel Framework for Causal Inference in Bayesian Networks—0
A Turing Test: Are AI Chatbots Behaviorally Similar to Humans?—0
A Tutorial On Intersectionality in Fair Rankings—0
Auction-Based Scheduling—0
Auditing Algorithmic Fairness in Machine Learning for Health with Severity-Based LOGAN—0
Auditing and Achieving Intersectional Fairness in Classification Problems—0
Auditing and Enforcing Conditional Fairness via Optimal Transport—0
Auditing the Imputation Effect on Fairness of Predictive Analytics in Higher Education—0
Auditing ICU Readmission Rates in an Clinical Database: An Analysis of Risk Factors and Clinical Outcomes—0
Auditing Predictive Models for Intersectional Biases—0
Auditing the Fairness of the US COVID-19 Forecast Hub's Case Prediction Models—0
Augmented Fairness: An Interpretable Model Augmenting Decision-Makers' Fairness—0
A Unified Approach to Fair Online Learning via Blackwell Approachability—0
A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality Indices—0
A Unified Deterministic Channel Model for Multi-Type RIS with Reflective, Transmissive, and Polarization Operations—0
A Unified Framework for Evaluating the Effectiveness and Enhancing the Transparency of Explainable AI Methods in Real-World Applications—0
A Unified Framework for Fair Spectral Clustering With Effective Graph Learning—0
A Unified Framework for Input Feature Attribution Analysis—0
Probabilistic ML Verification via Weighted Model Integration—0
A Unified View of Group Fairness Tradeoffs Using Partial Information Decomposition—0
Tensor Completion with Provable Consistency and Fairness Guarantees for Recommender Systems—0
Auto-Debias: Debiasing Masked Language Models with Automated Biased Prompts—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
Auto-Drafting Police Reports from Noisy ASR Outputs: A Trust-Centered LLM Approach—0
AutoFAIR : Automatic Data FAIRification via Machine Reading—0
Automated Data Slicing for Model Validation:A Big data - AI Integration Approach—0
Automated discovery of trade-off between utility, privacy and fairness in machine learning models—0
Automated Matchmaking to Improve Accuracy of Applicant Selection for University Education System—0
Automated Peer-to-peer Negotiation for Energy Contract Settlements in Residential Cooperatives—0
Automated Testing of AI Models—0
Automatic Counterfactual Augmentation for Robust Text Classification Based on Word-Group Search—0
Automatic Essay Scoring in a Brazilian Scenario—0
Automatic Fairness Testing of Neural Classifiers through Adversarial Sampling—0
Automatic Link Selection in Multi-Channel Multiple Access with Link Failures—0
Automatic scoring of short answers using justification cues estimated by BERT—0
Automating Food Drop: The Power of Two Choices for Dynamic and Fair Food Allocation—0
AutoSlicer: Scalable Automated Data Slicing for ML Model Analysis—0
AutoTestForge: A Multidimensional Automated Testing Framework for Natural Language Processing Models—0
Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing—0
A Versatile Framework for Evaluating Ranked Lists in terms of Group Fairness and Relevance—0
A Video-based Detector for Suspicious Activity in Examination with OpenPose—0
Avoiding Discrimination through Causal Reasoning—0
Axiomatic characterizations of some simple risk-sharing rules—0
AXOLOTL: Fairness through Assisted Self-Debiasing of Large Language Model Outputs—0
BaBE: Enhancing Fairness via Estimation of Latent Explaining Variables—0
Information-Geometric Barycenters for Bayesian Federated Learning—0
Back to the Drawing Board for Fair Representation Learning—0
BACSA: A Bias-Aware Client Selection Algorithm for Privacy-Preserving Federated Learning in Wireless Healthcare Networks—0
BadFair: Backdoored Fairness Attacks with Group-conditioned Triggers—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