Entropy reweighted conformal classification
Conformal Prediction (CP) is a powerful framework for constructing prediction sets with
guaranteed coverage. However, recent studies have shown that integrating confidence …
guaranteed coverage. However, recent studies have shown that integrating confidence …
TorchCP: A Library for Conformal Prediction based on PyTorch
TorchCP is a Python toolbox for conformal prediction research on deep learning models. It
contains various implementations for posthoc and training methods for classification and …
contains various implementations for posthoc and training methods for classification and …
[PDF][PDF] Design and Analysis of Uncertainty-Aware Modularized Autonomy Stacks
D Shen - 2024 - eecs.berkeley.edu
Many modern robotic systems are organized in terms of sequential modularized pipelines.
For example, the perception-planning-control loop is a common architecture for vision …
For example, the perception-planning-control loop is a common architecture for vision …