Dimensions overall score 8.0

GitHub Code Pulse

No public code linked for this paper yet.

• CUPID is a plug-in framework that jointly estimates both aleatoric and epistemic uncertainty without modifying or retraining the base model.method 95%
• CUPID can be flexibly inserted into any layer of a pretrained network.technical 90%
• CUPID models aleatoric uncertainty through a learned Bayesian identity mapping.technical 85%
• CUPID captures epistemic uncertainty by analyzing the model's internal responses to structured perturbations.technical 85%
• CUPID delivers competitive performance across tasks including classification, regression, and out-of-distribution detection.result 80%
• CUPID offers layer-wise insights into the origins of uncertainty.result 85%
• Many existing uncertainty estimation methods only address a single type of uncertainty or require modifications and retraining of the base model.limitation 90%
• CUPID makes uncertainty estimation modular, interpretable, and model-agnostic.method 85%

Competitive landscape

Competitor map is still being generated for this paper. Enable generation or check back soon.

Startup potential card