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Fairness

Papers

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Showing 2876–2900 of 5676 papers

TitleStatusHype
Transferring Fairness using Multi-Task Learning with Limited Demographic Information—0
Causality-Aided Trade-off Analysis for Machine Learning Fairness—0
DeepBern-Nets: Taming the Complexity of Certifying Neural Networks using Bernstein Polynomial Activations and Precise Bound PropagationCode0
Evaluating the Impact of Social Determinants on Health Prediction in the Intensive Care Unit—0
On Bias and Fairness in NLP: Investigating the Impact of Bias and Debiasing in Language Models on the Fairness of Toxicity Detection—0
Should We Attend More or Less? Modulating Attention for FairnessCode0
Fairness of ChatGPTCode0
Fair Without Leveling Down: A New Intersectional Fairness Definition—0
On the Limitations of Simulating Active Learning—0
UP5: Unbiased Foundation Model for Fairness-aware RecommendationCode0
Model Debiasing via Gradient-based Explanation on Representation—0
On the Fairness Impacts of Private Ensembles Models—0
Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning MethodsCode0
Comparing Software Developers with ChatGPT: An Empirical Investigation—0
Trustworthy Federated Learning: A Survey—0
Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing—0
Exploiting Biased Models to De-bias Text: A Gender-Fair Rewriting ModelCode0
In the Name of Fairness: Assessing the Bias in Clinical Record De-identificationCode0
RobustFair: Adversarial Evaluation through Fairness Confusion Directed Gradient SearchCode0
Prevention is better than cure: a case study of the abnormalities detection in the chest—0
Comparing Biases and the Impact of Multilingual Training across Multiple Languages—0
Mitigating Group Bias in Federated Learning: Beyond Local FairnessCode0
"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation—0
Consumer-side Fairness in Recommender Systems: A Systematic Survey of Methods and Evaluation—0
Fairness and Diversity in Information Access Systems—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