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Found 3 papers, 2 papers with code
A Conformal Prediction Score that is Robust to Label Noise
We introduce a conformal score that is robust to label noise.
A Study on the Evaluation of Generative Models
In this work, we study the evaluation metrics of generative models by generating a high-quality synthetic dataset on which we can estimate classical metrics for comparison.
Functional Ensemble Distillation
Bayesian models have many desirable properties, most notable is their ability to generalize from limited data and to properly estimate the uncertainty in their predictions.
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