Training, Architecture, and Prior for Deterministic Uncertainty Methods

Training, Architecture, and Prior for Deterministic Uncertainty Methods

10 March 2023

Bertrand Charpentier

Chenxiang Zhang

Stephan Günnemann

Papers citing "Training, Architecture, and Prior for Deterministic Uncertainty Methods"

5 / 5 papers shown

Title
Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification Kumar Manas Christian Schlauch Adrian Paschke Christian Wirth Nadja Klein 40 0 0 17 Apr 2025
vMF-Contact: Uncertainty-aware Evidential Learning for Probabilistic Contact-grasp in Noisy Clutter Yitian Shi Edgar Welte Maximilian Gilles Rania Rayyes 38 3 0 06 Nov 2024
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 188 879 0 21 Oct 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,683 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,156 0 06 Jun 2015