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1806.01768
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Evidential Deep Learning to Quantify Classification Uncertainty
5 June 2018
Murat Sensoy
Lance M. Kaplan
M. Kandemir
OOD
UQCV
EDL
BDL
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Papers citing
"Evidential Deep Learning to Quantify Classification Uncertainty"
24 / 574 papers shown
Being Bayesian about Categorical Probability
International Conference on Machine Learning (ICML), 2020
Taejong Joo
U. Chung
Minji Seo
UQCV
BDL
275
67
0
19 Feb 2020
Fine-grained Uncertainty Modeling in Neural Networks
Rahul Soni
Naresh Shah
J. D. Moore
UQCV
63
5
0
11 Feb 2020
Leveraging Uncertainties for Deep Multi-modal Object Detection in Autonomous Driving
Di Feng
Yifan Cao
Lars Rosenbaum
Fabian Timm
Klaus C. J. Dietmayer
UQCV
3DPC
236
24
0
01 Feb 2020
Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods
Machine-mediated learning (ML), 2019
Eyke Hüllermeier
Willem Waegeman
PER
UD
763
1,759
0
21 Oct 2019
Explainable AI for Intelligence Augmentation in Multi-Domain Operations
Alun D. Preece
Dave Braines
Federico Cerutti
T. Pham
89
16
0
16 Oct 2019
Quantifying Classification Uncertainty using Regularized Evidential Neural Networks
Xujiang Zhao
Yuzhe Ou
Lance M. Kaplan
Feng Chen
Jin-Hee Cho
EDL
BDL
UQCV
130
17
0
15 Oct 2019
Information Aware Max-Norm Dirichlet Networks for Predictive Uncertainty Estimation
Theodoros Tsiligkaridis
UQCV
BDL
211
9
0
10 Oct 2019
Deep Evidential Regression
Neural Information Processing Systems (NeurIPS), 2019
Alexander Amini
Wilko Schwarting
A. Soleimany
Daniela Rus
EDL
PER
BDL
UD
UQCV
311
546
0
07 Oct 2019
Operational Calibration: Debugging Confidence Errors for DNNs in the Field
Zenan Li
Xiaoxing Ma
Chang Xu
Jingwei Xu
Chun Cao
Jian Lu
196
30
0
06 Oct 2019
Towards neural networks that provably know when they don't know
International Conference on Learning Representations (ICLR), 2019
Alexander Meinke
Matthias Hein
OODD
283
147
0
26 Sep 2019
Density estimation in representation space to predict model uncertainty
Communications in Computer and Information Science (CCIS), 2019
Tiago Ramalho
M. Corbalan
UQCV
BDL
176
44
0
20 Aug 2019
Improved Adversarial Robustness by Reducing Open Space Risk via Tent Activations
Andras Rozsa
Terrance E. Boult
AAML
140
18
0
07 Aug 2019
Prior Activation Distribution (PAD): A Versatile Representation to Utilize DNN Hidden Units
L. Meegahapola
Vengateswaran Subramaniam
Lance M. Kaplan
Archan Misra
120
3
0
05 Jul 2019
Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019
Florin-Cristian Ghesu
Bogdan Georgescu
Eli Gibson
Sebastian Gündel
Mannudeep K. Kalra
Ramandeep Singh
S. Digumarthy
Sasa Grbic
Dorin Comaniciu
UQCV
164
53
0
18 Jun 2019
Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision
Fredrik K. Gustafsson
Martin Danelljan
Thomas B. Schon
OOD
UQCV
BDL
284
325
0
04 Jun 2019
Bayesian Evidential Deep Learning with PAC Regularization
Manuel Haussmann
S. Gerwinn
M. Kandemir
UQCV
EDL
BDL
219
1
0
03 Jun 2019
Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness
Neural Information Processing Systems (NeurIPS), 2019
A. Malinin
Mark Gales
UQCV
AAML
261
202
0
31 May 2019
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks
Neural Information Processing Systems (NeurIPS), 2019
S. Thulasidasan
Gopinath Chennupati
J. Bilmes
Tanmoy Bhattacharya
S. Michalak
UQCV
538
586
0
27 May 2019
Deep, spatially coherent Inverse Sensor Models with Uncertainty Incorporation using the evidential Framework
Daniel Bauer
L. Kuhnert
L. Eckstein
EDL
115
14
0
29 Mar 2019
BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors
Ali Harakeh
Michael H. W. Smart
Steven L. Waslander
BDL
UQCV
169
124
0
09 Mar 2019
A Variational Dirichlet Framework for Out-of-Distribution Detection
Wenhu Chen
Yilin Shen
Xin Eric Wang
Wenjie Wang
UQCV
216
9
0
18 Nov 2018
Inhibited Softmax for Uncertainty Estimation in Neural Networks
Marcin Mo.zejko
Mateusz Susik
Rafal Karczewski
UQCV
161
35
0
03 Oct 2018
Probabilistic Logic Programming with Beta-Distributed Random Variables
Federico Cerutti
Lance M. Kaplan
Angelika Kimmig
Murat Sensoy
164
12
0
20 Sep 2018
Uncertainty Aware AI ML: Why and How
Lance M. Kaplan
Federico Cerutti
Murat Sensoy
Alun D. Preece
Paul Sullivan
90
21
0
20 Sep 2018
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