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Fairness

Papers

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Showing 4151–4200 of 5676 papers

TitleStatusHype
Modelling the long-term fairness dynamics of data-driven targeted help on job seekers—0
Long Term Fairness for Minority Groups via Performative Distributionally Robust Optimization—0
Long-term Fairness For Real-time Decision Making: A Constrained Online Optimization Approach—0
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges—0
Long-term Fairness in Ride-Hailing Platform—0
Long-Term Fairness with Unknown Dynamics—0
Group Retention when Using Machine Learning in Sequential Decision Making: the Interplay between User Dynamics and Fairness—0
Looking Beyond What You See: An Empirical Analysis on Subgroup Intersectional Fairness for Multi-label Chest X-ray Classification Using Social Determinants of Racial Health Inequities—0
Looking for Fairness in Recommender Systems—0
Lookism: The overlooked bias in computer vision—0
Loss Minimization through the Lens of Outcome Indistinguishability—0
Loss Minimization Yields Multicalibration for Large Neural Networks—0
Noise Correction on Subjective Datasets—0
Low-Degree Multicalibration—0
Low-rank finetuning for LLMs: A fairness perspective—0
L_q regularization for Fairness AI robust to sampling bias—0
LTCXNet: Advancing Chest X-Ray Analysis with Solutions for Long-Tailed Multi-Label Classification and Fairness Challenges—0
LTLf Synthesis with Fairness and Stability Assumptions—0
LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Movie Recommendation—0
MAB-Based Channel Scheduling for Asynchronous Federated Learning in Non-Stationary Environments—0
Machine Decisions and Human Consequences—0
Machine Generated Text: A Comprehensive Survey of Threat Models and Detection Methods—0
Machine Intelligence at the Edge with Learning Centric Power Allocation—0
Machine Learning Fairness for Depression Detection using EEG Data—0
Machine Learning Fairness in Justice Systems: Base Rates, False Positives, and False Negatives—0
Machine Learning for Fairness-Aware Load Shedding: A Real-Time Solution via Identifying Binding Constraints—0
Machine Learning for Predictive On-Demand Deployment of UAVs for Wireless Communications—0
Machine Learning for Synthetic Data Generation: A Review—0
Bias in Machine Learning Models Can Be Significantly Mitigated by Careful Training: Evidence from Neuroimaging Studies—0
Machine Learning-Powered Course Allocation—0
Machine Learning Techniques with Fairness for Prediction of Completion of Drug and Alcohol Rehabilitation—0
Machine Learning Testing: Survey, Landscapes and Horizons—0
MAFE: Multi-Agent Fair Environments for Decision-Making Systems—0
MAFT: Efficient Model-Agnostic Fairness Testing for Deep Neural Networks via Zero-Order Gradient Search—0
MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization—0
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings—0
Maintaining Journalistic Integrity in the Digital Age: A Comprehensive NLP Framework for Evaluating Online News Content—0
Making Good on LSTMs' Unfulfilled Promise—0
Making Machine Learning Datasets and Models FAIR for HPC: A Methodology and Case Study—0
Making ML models fairer through explanations: the case of LimeOut—0
MALIBU Benchmark: Multi-Agent LLM Implicit Bias Uncovered—0
Malign Overfitting: Interpolation Can Provably Preclude Invariance—0
Managing Basis Risks in Weather Parametric Insurance: A Quantitative Study of Diversification and Key Influencing Factors—0
Managing Bias in Human-Annotated Data: Moving Beyond Bias Removal—0
Manifestations of Xenophobia in AI Systems—0
Mapping the Ethics of Generative AI: A Comprehensive Scoping Review—0
Mapping the Multilingual Margins: Intersectional Biases of Sentiment Analysis Systems in English, Spanish, and Arabic—0
Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle—0
Mapping Trustworthiness in Large Language Models: A Bibliometric Analysis Bridging Theory to Practice—0
Marginal Debiased Network for Fair Visual Recognition—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