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Fairness

Papers

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Showing 3201–3250 of 5676 papers

TitleStatusHype
Fair k-Centers via Maximum Matching—0
Fair Kernel Learning—0
Fair Knowledge Tracing in Second Language Acquisition—0
FAIRLABEL: Correcting Bias in Labels—0
Fair Labeled Clustering—0
Fairlearn: Assessing and Improving Fairness of AI Systems—0
CONFAIR: Configurable and Interpretable Algorithmic Fairness—0
Inference-time Stochastic Ranking with Risk Control—0
Fair learning with Wasserstein barycenters for non-decomposable performance measures—0
Fair lending needs explainable models for responsible recommendation—0
FairLENS: Assessing Fairness in Law Enforcement Speech Recognition—0
FairLens: Auditing Black-box Clinical Decision Support Systems—0
FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing—0
FairLoRA: Unpacking Bias Mitigation in Vision Models with Fairness-Driven Low-Rank Adaptation—0
Fairly Accurate: Learning Optimal Accuracy vs. Fairness Tradeoffs for Hate Speech Detection—0
Fairly Accurate: Optimizing Accuracy Parity in Fair Target-Group Detection—0
Fairly Adaptive Negative Sampling for Recommendations—0
Fairly Allocating Utility in Constrained Multiwinner Elections—0
Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning—0
Fairly Private: Investigating The Fairness of Visual Privacy Preservation Algorithms—0
FairlyUncertain: A Comprehensive Benchmark of Uncertainty in Algorithmic Fairness—0
Fair Machine Learning for Healthcare Requires Recognizing the Intersectionality of Sociodemographic Factors, a Case Study—0
Fair Machine Learning in Healthcare: A Review—0
Fair mapping—0
FairMatch: A Graph-based Approach for Improving Aggregate Diversity in Recommender Systems—0
Fair Matrix Factorisation for Large-Scale Recommender Systems—0
Fair Meta-Learning For Few-Shot Classification—0
Fair Meta-Learning: Learning How to Learn Fairly—0
fairmetrics: An R package for group fairness evaluation—0
Fair Minimum Representation Clustering—0
Fair Minimum Representation Clustering via Integer Programming—0
FairMixRep : Self-supervised Robust Representation Learning for Heterogeneous Data with Fairness constraints—0
fairml: A Statistician's Take on Fair Machine Learning Modelling—0
FairMobi-Net: A Fairness-aware Deep Learning Model for Urban Mobility Flow Generation—0
Fair Models in Credit: Intersectional Discrimination and the Amplification of Inequity—0
FairEGM: Fair Link Prediction and Recommendation via Emulated Graph Modification—0
FairMonitor: A Dual-framework for Detecting Stereotypes and Biases in Large Language Models—0
Fair MP-BOOST: Fair and Interpretable Minipatch Boosting—0
FairMT-Bench: Benchmarking Fairness for Multi-turn Dialogue in Conversational LLMs—0
Fair Multi-Exit Framework for Facial Attribute Classification—0
Fair Multi-party Machine Learning -- a Game Theoretic approach—0
Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency—0
Fairness, Accuracy, and Unreliable Data—0
Fairness Amidst Non-IID Graph Data: A Literature Review—0
Fairness Analysis of CLIP-Based Foundation Models for X-Ray Image Classification—0
Fairness Analysis with Shapley-Owen Effects—0
Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making—0
Fairness and Accuracy in Federated Learning—0
Fairness and Bias in Algorithmic Hiring: a Multidisciplinary Survey—0
Fairness and Bias in Multimodal AI: A Survey—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