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Fairness

Papers

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Showing 4551–4600 of 5676 papers

TitleStatusHype
Representation and Bias in Multilingual NLP: Insights from Controlled Experiments on Conditional Language Modeling—0
Fairness in Machine Learning—0
Provably Training Overparameterized Neural Network Classifiers with Non-convex Constraints—0
Fairness-Oriented User Scheduling for Bursty Downlink Transmission Using Multi-Agent Reinforcement Learning—0
A Maximal Correlation Approach to Imposing Fairness in Machine Learning—0
Towards Fair Deep Anomaly Detection—0
Prosocial Norm Emergence in Multiagent Systems—0
dalex: Responsible Machine Learning with Interactive Explainability and Fairness in PythonCode0
A Regret bound for Non-stationary Multi-Armed Bandits with Fairness Constraints—0
Unbiased Subdata Selection for Fair Classification: A Unified Framework and Scalable Algorithms—0
Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective—0
Fairness, Welfare, and Equity in Personalized Pricing—0
The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective—0
Biased Models Have Biased Explanations—0
Fundamental Limits and Tradeoffs in Invariant Representation Learning—0
Affirmative Algorithms: The Legal Grounds for Fairness as Awareness—0
Fairness and Accuracy in Federated Learning—0
Fair for All: Best-effort Fairness Guarantees for Classification—0
Fairkit, Fairkit, on the Wall, Who's the Fairest of Them All? Supporting Data Scientists in Training Fair ModelsCode0
Hiring from a pool of workers—0
Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement LearningCode1
I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting—0
Exacerbating Algorithmic Bias through Fairness AttacksCode0
Latent-CF: A Simple Baseline for Reverse Counterfactual Explanations—0
Online Learning Demands in Max-min Fairness—0
Bandit-based Communication-Efficient Client Selection Strategies for Federated Learning—0
Noisy Linear Convergence of Stochastic Gradient Descent for CV@R Statistical Learning under Polyak-Łojasiewicz Conditions—0
Demystifying Deep Neural Networks Through Interpretation: A Survey—0
Trading the System Efficiency for the Income Equality of Drivers in Rideshare—0
TARA: Training and Representation Alteration for AI Fairness and Domain Generalization—0
Conceptualization and Framework of Hybrid Intelligence Systems—0
Fairness in Rating Prediction by Awareness of Verbal and Gesture Quality of Public SpeechesCode0
Repurposing recidivism models for forecasting police officer use of forceCode0
Investigating Bias in Image Classification using Model Explanations—0
Improving the Fairness of Deep Generative Models without RetrainingCode1
A Statistical Test for Probabilistic Fairness—0
Fairness Preferences, Actual and Hypothetical: A Study of Crowdworker Incentives—0
Ditto: Fair and Robust Federated Learning Through PersonalizationCode1
Reconfigurable Intelligent Surface Aided Constant-Envelope Wireless Power Transfer—0
Improving Fairness and Privacy in Selection Problems—0
Empirical observation of negligible fairness-accuracy trade-offs in machine learning for public policyCode0
FairOD: Fairness-aware Outlier DetectionCode0
The Managerial Effects of Algorithmic Fairness Activism—0
Mitigating Bias in Federated Learning—0
Non-portability of Algorithmic Fairness in India—0
Going Beyond Classification Accuracy Metrics in Model CompressionCode1
FairBatch: Batch Selection for Model FairnessCode1
Assignment Maximization—0
Towards Fairness in Classifying Medical Conversations into SOAP Sections—0
FAST: A Fairness Assured Service Recommendation Strategy Considering Service Capacity Constraint—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