Enabling Uncertainty Estimation in Iterative Neural Networks

Enabling Uncertainty Estimation in Iterative Neural Networks

25 March 2024

Jonathan Donier

Papers citing "Enabling Uncertainty Estimation in Iterative Neural Networks"

14 / 14 papers shown

Title
C(NN)FD -- Deep Learning Modelling of Multi-Stage Axial Compressors Aerodynamics G. Bruni S. Maleki S. Krishnababu AI4CE 55 0 0 18 Mar 2025
Uncertainty Estimation for 3D Object Detection via Evidential Learning N. Durasov Rafid Mahmood Jiwoong Choi Marc T. Law James Lucas Pascal Fua Jose M. Alvarez UQCV EDL 3DPC 54 1 0 31 Oct 2024
IT $^3$ : Idempotent Test-Time Training N. Durasov Assaf Shocher Doruk Öner Gal Chechik Alexei A. Efros Pascal Fua OOD VLM 28 1 0 05 Oct 2024
Shadow Removal Refinement via Material-Consistent Shadow Edges Shilin Hu Hieu Le ShahRukh Athar Sagnik Das Dimitris Samaras 26 0 0 10 Sep 2024
Assessing Sample Quality via the Latent Space of Generative Models Jingyi Xu Hieu M. Le Dimitris Samaras MedIm 39 2 0 21 Jul 2024
Weighting Pseudo-Labels via High-Activation Feature Index Similarity and Object Detection for Semi-Supervised Segmentation Prantik Howlader Hieu M. Le Dimitris Samaras 43 1 0 17 Jul 2024
Beyond Pixels: Semi-Supervised Semantic Segmentation with a Multi-scale Patch-based Multi-Label Classifier Prantik Howlader Srijan Das Hieu M. Le Dimitris Samaras 49 5 0 04 Jul 2024
MirrorCheck: Efficient Adversarial Defense for Vision-Language Models Samar Fares Klea Ziu Toluwani Aremu N. Durasov Martin Takáč Pascal Fua Karthik Nandakumar Ivan Laptev VLM AAML 40 4 0 13 Jun 2024
Adjusting the Ground Truth Annotations for Connectivity-Based Learning to Delineate Doruk Öner Leonardo Citraro Mateusz Koziñski Pascal Fua 3DH 3DPC 34 2 0 06 Dec 2021
Neural Mesh Flow: 3D Manifold Mesh Generation via Diffeomorphic Flows Kunal Gupta Manmohan Chandraker AI4CE 54 77 0 21 Jul 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 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 251 1,811 0 25 Nov 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 446 15,645 0 02 Nov 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015