Latest Articles for Uncertainty Estimation

New rules focus on transparency and managing uncertainty in AI technology.

SUMO enhances decision-making in offline reinforcement learning by improving uncertainty estimation.

MedSAM-U improves segmentation accuracy through uncertainty-guided prompt adaptation.

A new method addresses the challenge of detecting inaccuracies in AI-generated text.

This research enhances prediction reliability in GNNs through integrated uncertainty quantification.

LSSDM offers an effective solution for filling gaps in multivariate time series data.

A new approach improves how AI assesses uncertainty in predictions.

Learn how machine learning models can improve when facing new and unseen data.

Exploring parameter-efficient fine-tuning for depth estimation accuracy and uncertainty.

VL-Uncertainty improves the detection of incorrect answers from digital models.

Evaluating how well LLMs answer physics questions and their certainty levels.

A framework improves uncertainty estimation in medical imaging for better diagnoses.

A new method leverages satellite imagery to assess child poverty more accurately.

Discover how technology is reshaping image quality evaluation processes.

ZEUS enhances reasoning in language models with less human input.

New methods enhance uncertainty estimation in spiking neural networks.

FMGP improves DNN predictions by estimating uncertainty, crucial for high-stakes applications.

A new framework enhances medical image analysis using labeled and unlabeled data.

Learn how uncertainty improves super-resolution in computer vision for clearer images.