CADS is a conformal-prediction-driven adaptive system that cascades models for image classification to achieve up to 12x lower computational cost while maintaining accuracy.
To validate the conformal routing, we compared the APS conformal routing against standard uncertainty measures, including Max Softmax, Entropy, and Margin
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
CADS: Conformal Adaptive Decision System for Cost-Efficient Image Classification
CADS is a conformal-prediction-driven adaptive system that cascades models for image classification to achieve up to 12x lower computational cost while maintaining accuracy.