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Fairness

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Showing 2801–2850 of 5676 papers

TitleStatusHype
"Why Should You Trust My Explanation?" Understanding Uncertainty in LIME Explanations—0
Will Large Language Models Transform Clinical Prediction?—0
Will the Inclusion of Generated Data Amplify Bias Across Generations in Future Image Classification Models?—0
Within-group fairness: A guidance for more sound between-group fairness—0
Workforce pDEI: Productivity Coupled with DEI—0
Writing Style Matters: An Examination of Bias and Fairness in Information Retrieval Systems—0
XAI Handbook: Towards a Unified Framework for Explainable AI—0
XAIxArts Manifesto: Explainable AI for the Arts—0
FairMask: Better Fairness via Model-based Rebalancing of Protected Attributes—0
You reap what you sow: On the Challenges of Bias Evaluation Under Multilingual Settings—0
Your fairness may vary: Pretrained language model fairness in toxic text classification—0
Your fairness may vary: Pretrained language model fairness in toxic text classification—0
Your Large Language Model is Secretly a Fairness Proponent and You Should Prompt it Like One—0
Zero-bias Deep Neural Network for Quickest RF Signal Surveillance—0
ZeroMat: Solving Cold-start Problem of Recommender System with No Input Data—0
Zero-shot Fairness with Invisible Demographics—0
Zero-shot Model Diagnosis—0
Early Diagnosis of Chronic Obstructive Pulmonary Disease from Chest X-Rays using Transfer Learning and Fusion Strategies—0
EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders—0
Fair Incentives for Repeated Engagement—0
Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads—0
EchoQA: A Large Collection of Instruction Tuning Data for Echocardiogram Reports—0
EdgeMixup: Improving Fairness for Skin Disease Classification and Segmentation—0
Editable Fairness: Fine-Grained Bias Mitigation in Language Models—0
Vertical Allocation-based Fair Exposure Amortizing in Ranking—0
Efficiency and Sequenceability in Fair Division of Indivisible Goods with Additive Preferences—0
Efficiency, Fairness, and Stability in Non-Commercial Peer-to-Peer Ridesharing—0
Unambiguous Efficiency of Random Allocations—0
Efficiency, Sequenceability and Deal-Optimality in Fair Division of Indivisible Goods—0
Efficient and Accurate Estimation of Lipschitz Constants for Hybrid Quantum-Classical Decision Models—0
Efficient candidate screening under multiple tests and implications for fairness—0
Efficient Data Shapley for Weighted Nearest Neighbor Algorithms—0
Efficient Device Scheduling with Multi-Job Federated Learning—0
Efficient DNN-Powered Software with Fair Sparse Models—0
Efficient Fairness-Performance Pareto Front Computation—0
Efficient Fairness Testing in Large Language Models: Prioritizing Metamorphic Relations for Bias Detection—0
Efficient Fair Principal Component Analysis—0
Efficient First-Order Optimization on the Pareto Set for Multi-Objective Learning under Preference Guidance—0
Efficient first-order predictor-corrector multiple objective optimization for fair misinformation detection—0
Efficient Gender Debiasing of Pre-trained Indic Language Models—0
Efficient k-means with Individual Fairness via Exponential Tilting—0
On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning—0
Efficient Major Transition Exchange under Distributional and Dual Priority-respecting Constraints—0
Efficient Mining Cluster Selection for Blockchain-based Cellular V2X Communications—0
Efficient Model-Agnostic Multi-Group Equivariant Networks—0
Efficient Multi-Task Inferencing with a Shared Backbone and Lightweight Task-Specific Adapters for Automatic Scoring—0
Efficient Resource Allocation with Fairness Constraints in Restless Multi-Armed Bandits—0
An Efficient Framework for Crediting Data Contributors of Diffusion Models—0
Anti-Matthew FL: Bridging the Performance Gap in Federated Learning to Counteract the Matthew Effect—0
Effort-aware Fairness: Incorporating a Philosophy-informed, Human-centered Notion of Effort into Algorithmic Fairness Metrics—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