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Fairness

Papers

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Showing 5151–5200 of 5676 papers

TitleStatusHype
Towards Fairness in Visual Recognition: Effective Strategies for Bias MitigationCode0
On the Legal Compatibility of Fairness Definitions—0
Greedy Algorithms for Fair Division of Mixed Manna—0
A Self-Adaptive Synthetic Over-Sampling Technique for Imbalanced Classification—0
FairyTED: A Fair Rating Predictor for TED Talk Data—0
Mitigate Bias in Face Recognition using Skewness-Aware Reinforcement Learning—0
Fair in the Eyes of Others—0
Algorithmic Bias in Recidivism Prediction: A Causal Perspective—0
Fair Multi-party Machine Learning -- a Game Theoretic approach—0
Max-Min Fair Precoder Design and Power Allocation for MU-MIMO NOMA—0
Bounded Temporal Fairness for FIFO Financial Markets—0
"The Human Body is a Black Box": Supporting Clinical Decision-Making with Deep Learning—0
Policy-Gradient Training of Fair and Unbiased Ranking FunctionsCode0
Fairness With Minimal Harm: A Pareto-Optimal Approach For Healthcare—0
Fair Data Adaptation with Quantile Preservation—0
Dynamic Modeling and Equilibria in Fair Decision Making—0
What Do Compressed Deep Neural Networks Forget?Code0
Fair Adversarial Gradient Tree BoostingCode0
Buffer-aware Wireless Scheduling based on Deep Reinforcement Learning—0
Fairness-Aware Neural Réyni Minimization for Continuous FeaturesCode0
Efficient Fair Principal Component Analysis—0
Machine Intelligence at the Edge with Learning Centric Power Allocation—0
Kernel Dependence Regularizers and Gaussian Processes with Applications to Algorithmic Fairness—0
Making Good on LSTMs' Unfulfilled Promise—0
Fairness through Equality of Effort—0
Analyzing Bias in Sensitive Personal Information Used to Train Financial Models—0
Reducing Sentiment Bias in Language Models via Counterfactual Evaluation—0
An Introduction to Artificial Intelligence and Solutions to the Problems of Algorithmic Discrimination—0
The State of NLP Literature: A Diachronic Analysis of the ACL Anthology—0
A Human-in-the-loop Framework to Construct Context-aware Mathematical Notions of Outcome Fairness—0
Fair Meta-Learning: Learning How to Learn Fairly—0
Practical Compositional Fairness: Understanding Fairness in Multi-Component Recommender Systems—0
Assessing Social and Intersectional Biases in Contextualized Word RepresentationsCode0
Auditing and Achieving Intersectional Fairness in Classification Problems—0
Posing Fair Generalization Tasks for Natural Language Inference—0
The Relationship between the Consistency of Users' Ratings and Recommendation Calibration—0
Fairness Violations and Mitigation under Covariate Shift—0
Fair treatment allocations in social networks—0
Methodological Blind Spots in Machine Learning Fairness: Lessons from the Philosophy of Science and Computer Science—0
DADI: Dynamic Discovery of Fair Information with Adversarial Reinforcement Learning—0
What is Fair? Exploring Pareto-Efficiency for Fairness Constrained Classifiers—0
Fault Tolerance of Neural Networks in Adversarial Settings—0
Learning Fair and Interpretable Representations via Linear OrthogonalizationCode0
Toward a better trade-off between performance and fairness with kernel-based distribution matching—0
Fairness Sample Complexity and the Case for Human Intervention—0
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AICode0
An Empirical Study on Learning Fairness Metrics for COMPAS Data with Human SupervisionCode0
PC-Fairness: A Unified Framework for Measuring Causality-based Fairness—0
Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing—0
Max-min Fairness of K-user Cooperative Rate-Splitting in MISO Broadcast Channel with User Relaying—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