ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step
Inference

ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference

21 November 2022

Papers citing "ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference"

14 / 14 papers shown

Title
Do you understand epistemic uncertainty? Think again! Rigorous frequentist epistemic uncertainty estimation in regression Enrico Foglia Benjamin Bobbia N. Durasov Michaël Bauerheim Pascal Fua S. Moreau Thierry Jardin UQCV UD PER 70 0 0 17 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 47 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 19 1 0 05 Oct 2024
Shadow Removal Refinement via Material-Consistent Shadow Edges Shilin Hu Hieu Le ShahRukh Athar Sagnik Das Dimitris Samaras 21 0 0 10 Sep 2024
Assessing Sample Quality via the Latent Space of Generative Models Jingyi Xu Hieu M. Le Dimitris Samaras MedIm 30 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 36 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 19 4 0 13 Jun 2024
Enabling Uncertainty Estimation in Iterative Neural Networks N. Durasov Doruk Öner Jonathan Donier Hieu M. Le Pascal Fua UQCV 33 8 0 25 Mar 2024
DEBOSH: Deep Bayesian Shape Optimization N. Durasov Artem Lukoyanov Jonathan Donier Pascal Fua UQCV AI4CE 27 15 0 28 Sep 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,652 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
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 282 39,190 0 01 Sep 2014