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Found 4 papers, 1 papers with code
FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently
To address the bias in node features and model parameters, FairSample is complemented by a regularization objective to optimize fairness.
Data Pricing in Machine Learning Pipelines
We also investigate pricing in the step of collaborative training of machine learning models, and overview pricing machine learning models for end users in the step of machine learning deployment.
Comprehensible Counterfactual Explanation on Kolmogorov-Smirnov Test
One challenge remained untouched is how we can obtain an explanation on why a test set fails the KS test.
Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs: A Closed Form Solution
More and more AI services are provided through APIs on cloud where predictive models are hidden behind APIs.
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