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Fairness

Papers

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Showing 801–850 of 5676 papers

TitleStatusHype
On the Fairness, Diversity and Reliability of Text-to-Image Generative Models—0
How Does Topology Bias Distort Message Passing? A Dirichlet Energy Perspective—0
Ensuring Safety and Trust: Analyzing the Risks of Large Language Models in Medicine—0
Quantitative Fairness -- A Framework For The Design Of Equitable Cybernetic Societies—0
Writing Style Matters: An Examination of Bias and Fairness in Information Retrieval Systems—0
Towards Fairness in AI for Melanoma Detection: Systemic Review and Recommendations—0
Ethical Challenges and Evolving Strategies in the Integration of Artificial Intelligence into Clinical Practice—0
Fair Distillation: Teaching Fairness from Biased Teachers in Medical Imaging—0
Different Horses for Different Courses: Comparing Bias Mitigation Algorithms in ML—0
Exploring Neural Joint Activity in Spiking Neural Networks for Fraud DetectionCode0
Adaptive Soft Actor-Critic Framework for RIS-Assisted and UAV-Aided Communication—0
Improving Fraud Detection with 1D-Convolutional Spiking Neural Networks Through Bayesian OptimizationCode0
Pluralistic Alignment Over Time—0
LTCXNet: Advancing Chest X-Ray Analysis with Solutions for Long-Tailed Multi-Label Classification and Fairness Challenges—0
Debias-CLR: A Contrastive Learning Based Debiasing Method for Algorithmic Fairness in Healthcare Applications—0
Establishing and Evaluating Trustworthy AI: Overview and Research Challenges—0
NFRs in Medical Imaging—0
SAFES: Sequential Privacy and Fairness Enhancing Data Synthesis for Responsible AICode0
Fair Resource Allocation in Weakly Coupled Markov Decision Processes—0
Combining Machine Learning Defenses without Conflicts—0
SureMap: Simultaneous Mean Estimation for Single-Task and Multi-Task Disaggregated EvaluationCode0
Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data—0
Optimisation Strategies for Ensuring Fairness in Machine Learning: With and Without DemographicsCode0
Properties of fairness measures in the context of varying class imbalance and protected group ratiosCode0
TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property—0
Aligning Visual Contrastive learning models via Preference OptimizationCode0
Fair Summarization: Bridging Quality and Diversity in Extractive SummariesCode0
Mitigating Bias in Queer Representation within Large Language Models: A Collaborative Agent ApproachCode0
A Stochastic Optimization Framework for Private and Fair Learning From Decentralized DataCode0
WassFFed: Wasserstein Fair Federated Learning—0
Neuro-Symbolic Rule Lists—0
A Review of Fairness and A Practical Guide to Selecting Context-Appropriate Fairness Metrics in Machine Learning—0
Axiomatic characterizations of some simple risk-sharing rules—0
Diversity and Inclusion in AI for Recruitment: Lessons from Industry Workshop—0
Interpret the Internal States of Recommendation Model with Sparse AutoencoderCode0
Enhancing Model Fairness and Accuracy with Similarity Networks: A Methodological Approach—0
Fairness in Monotone k-submodular Maximization: Algorithms and Applications—0
Evaluating the Economic Implications of Using Machine Learning in Clinical Psychiatry—0
The Multiple Dimensions of Spuriousness in Machine Learning—0
Comparing Fairness of Generative Mobility Models—0
Semantic-Aware Resource Management for C-V2X Platooning via Multi-Agent Reinforcement LearningCode1
ComFairGNN: Community Fair Graph Neural Network—0
Cooperation and Personalization on a Seesaw: Choice-based FL for Safe Cooperation in Wireless Networks—0
A Capabilities Approach to Studying Bias and Harm in Language Technologies—0
Fair Exploration and Exploitation—0
Policy AggregationCode0
Alpha and Prejudice: Improving α-sized Worst-case Fairness via Intrinsic Reweighting—0
SMoA: Improving Multi-agent Large Language Models with Sparse Mixture-of-AgentsCode1
Towards Harmless Rawlsian Fairness Regardless of Demographic PriorCode0
A Directional Rockafellar-Uryasev Regression—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