Enabling Uncertainty Estimation in Iterative Neural Networks

25 March 2024

Papers citing "Enabling Uncertainty Estimation in Iterative Neural Networks"

7 / 7 papers shown

Title
Assessing Sample Quality via the Latent Space of Generative Models Jingyi Xu Hieu M. Le Dimitris Samaras MedIm 30 2 0 21 Jul 2024
Adjusting the Ground Truth Annotations for Connectivity-Based Learning to Delineate Doruk Öner Leonardo Citraro Mateusz Koziñski Pascal Fua 3DH 3DPC 19 2 0 06 Dec 2021
Neural Mesh Flow: 3D Manifold Mesh Generation via Diffeomorphic Flows Kunal Gupta Manmohan Chandraker AI4CE 45 78 0 21 Jul 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,660 0 05 Dec 2016
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 234 1,811 0 25 Nov 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 435 15,631 0 02 Nov 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 249 9,134 0 06 Jun 2015