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Scalable Uncertainty for Computer Vision with Functional Variational
  Inference

Scalable Uncertainty for Computer Vision with Functional Variational Inference

Computer Vision and Pattern Recognition (CVPR), 2020
6 March 2020
Eduardo D C Carvalho
R. Clark
Andrea Nicastro
Paul H. J. Kelly
    BDLUQCV
ArXiv (abs)PDFHTML

Papers citing "Scalable Uncertainty for Computer Vision with Functional Variational Inference"

13 / 13 papers shown
Entropy Bootstrapping for Weakly Supervised Nuclei Detection
Entropy Bootstrapping for Weakly Supervised Nuclei Detection
James Willoughby
Irina Voiculescu
UQCV
253
0
0
20 Nov 2024
Instance-wise Uncertainty for Class Imbalance in Semantic Segmentation
Instance-wise Uncertainty for Class Imbalance in Semantic Segmentation
Luís Almeida
Ines Dutra
Francesco Renna
UQCV
287
1
0
17 Jul 2024
Bayesian Uncertainty Estimation by Hamiltonian Monte Carlo: Applications
  to Cardiac MRI Segmentation
Bayesian Uncertainty Estimation by Hamiltonian Monte Carlo: Applications to Cardiac MRI Segmentation
Yidong Zhao
João Tourais
Iain Pierce
Christian Nitsche
T. Treibel
Sebastian Weingartner
Artur M. Schweidtmann
Qian Tao
BDLUQCV
384
6
0
04 Mar 2024
Tractable Function-Space Variational Inference in Bayesian Neural
  Networks
Tractable Function-Space Variational Inference in Bayesian Neural Networks
Tim G. J. Rudner
Zonghao Chen
Yee Whye Teh
Y. Gal
320
59
0
28 Dec 2023
Function Space Bayesian Pseudocoreset for Bayesian Neural Networks
Function Space Bayesian Pseudocoreset for Bayesian Neural NetworksNeural Information Processing Systems (NeurIPS), 2023
Balhae Kim
Hyungi Lee
Juho Lee
BDL
211
3
0
27 Oct 2023
Hyperbolic Active Learning for Semantic Segmentation under Domain Shift
Hyperbolic Active Learning for Semantic Segmentation under Domain ShiftInternational Conference on Machine Learning (ICML), 2023
Luca Franco
Paolo Mandica
Konstantinos Kallidromitis
Devin Guillory
Yu-Teng Li
Trevor Darrell
Fabio Galasso
334
17
0
19 Jun 2023
Efficient Uncertainty Quantification and Reduction for
  Over-Parameterized Neural Networks
Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural NetworksNeural Information Processing Systems (NeurIPS), 2023
Ziyi Huang
Henry Lam
Haofeng Zhang
UQCV
312
14
0
09 Jun 2023
Attentive Continuous Generative Self-training for Unsupervised Domain
  Adaptive Medical Image Translation
Attentive Continuous Generative Self-training for Unsupervised Domain Adaptive Medical Image Translation
Xiaofeng Liu
Jerry L. Prince
Fangxu Xing
Jiachen Zhuo
T. Reese
Maureen Stone
Xiaofeng Liu
Jonghye Woo
MedIm
278
10
0
23 May 2023
Gradient-based Uncertainty Attribution for Explainable Bayesian Deep
  Learning
Gradient-based Uncertainty Attribution for Explainable Bayesian Deep LearningComputer Vision and Pattern Recognition (CVPR), 2023
Hanjing Wang
D. Joshi
Maroun Touma
Q. Ji
UQCVBDL
238
13
0
10 Apr 2023
Dense Uncertainty Estimation via an Ensemble-based Conditional Latent
  Variable Model
Dense Uncertainty Estimation via an Ensemble-based Conditional Latent Variable Model
Jing Zhang
Yuchao Dai
Mehrtash Harandi
Yiran Zhong
Nick Barnes
Leonid Sigal
UQCV
228
1
0
22 Nov 2021
Dense Uncertainty Estimation
Dense Uncertainty Estimation
Jing Zhang
Yuchao Dai
Mochu Xiang
Deng-Ping Fan
Peyman Moghadam
Mingyi He
Christian J. Walder
Kaihao Zhang
Mehrtash Harandi
Nick Barnes
UQCVBDL
354
12
0
13 Oct 2021
Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks
  with Sparse Gaussian Processes
Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes
Jongseo Lee
Jianxiang Feng
Matthias Humt
M. Müller
Rudolph Triebel
UQCV
317
27
0
20 Sep 2021
Finite Versus Infinite Neural Networks: an Empirical Study
Finite Versus Infinite Neural Networks: an Empirical StudyNeural Information Processing Systems (NeurIPS), 2020
Jaehoon Lee
S. Schoenholz
Jeffrey Pennington
Ben Adlam
Lechao Xiao
Roman Novak
Jascha Narain Sohl-Dickstein
449
232
0
31 Jul 2020
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