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2107.03342
Cited By
A Survey of Uncertainty in Deep Neural Networks
7 July 2021
J. Gawlikowski
Cedrique Rovile Njieutcheu Tassi
Mohsin Ali
Jongseo Lee
Matthias Humt
Jianxiang Feng
Anna M. Kruspe
Rudolph Triebel
P. Jung
R. Roscher
Muhammad Shahzad
Wen Yang
R. Bamler
Xiaoxiang Zhu
BDL
UQCV
OOD
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Papers citing
"A Survey of Uncertainty in Deep Neural Networks"
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Title
Neural State-Space Models: Empirical Evaluation of Uncertainty Quantification
Marco Forgione
Dario Piga
UQCV
29
2
0
13 Apr 2023
Communicating Uncertainty in Machine Learning Explanations: A Visualization Analytics Approach for Predictive Process Monitoring
Nijat Mehdiyev
Maxim Majlatow
Peter Fettke
27
2
0
12 Apr 2023
UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series
Patrick Ebel
Vivien Sainte Fare Garnot
M. Schmitt
Jan Dirk Wegner
Xiao Xiang Zhu
20
32
0
11 Apr 2023
MSS-PAE: Saving Autoencoder-based Outlier Detection from Unexpected Reconstruction
Xu Tan
Jiawei Yang
Junqi Chen
S. Rahardja
S. Rahardja
UQCV
25
1
0
03 Apr 2023
Adaptive Modeling of Uncertainties for Traffic Forecasting
Ying Wu
Yongchao Ye
Adnan Zeb
James J. Q. Yu
Zhilin Wang
AI4TS
24
7
0
16 Mar 2023
Uncertainty-Aware Pedestrian Trajectory Prediction via Distributional Diffusion
Yao Liu
Zesheng Ye
Rui Wang
Binghao Li
Quan Z. Sheng
L. Yao
18
8
0
15 Mar 2023
EvCenterNet: Uncertainty Estimation for Object Detection using Evidential Learning
Monish R. Nallapareddy
Kshitij Sirohi
Paulo L. J. Drews-Jr
Wolfram Burgard
Chih-Hong Cheng
Abhinav Valada
EDL
33
7
0
06 Mar 2023
Uncertainty-Aware AB3DMOT by Variational 3D Object Detection
Illia Oleksiienko
Alexandros Iosifidis
3DPC
33
1
0
12 Feb 2023
Variational Voxel Pseudo Image Tracking
Illia Oleksiienko
Paraskevi Nousi
Nikolaos Passalis
Anastasios Tefas
Alexandros Iosifidis
24
1
0
12 Feb 2023
Generating Evidential BEV Maps in Continuous Driving Space
Yunshuang Yuan
Hao Cheng
M. Yang
Monika Sester
36
10
0
06 Feb 2023
Identifying Adversarially Attackable and Robust Samples
Vyas Raina
Mark J. F. Gales
AAML
30
3
0
30 Jan 2023
Remote patient monitoring using artificial intelligence: Current state, applications, and challenges
T. Shaik
Xiaohui Tao
Niall Higgins
Lin Li
R. Gururajan
Xujuan Zhou
U. Acharya
26
186
0
19 Jan 2023
Failure Detection for Motion Prediction of Autonomous Driving: An Uncertainty Perspective
Wenbo Shao
Yan Xu
Liang Peng
Jun Li
Hong Wang
32
15
0
11 Jan 2023
How Does Traffic Environment Quantitatively Affect the Autonomous Driving Prediction?
Wenbo Shao
Yan Xu
Jun Yu Li
Chen Lv
Weida Wang
Hong Wang
29
9
0
11 Jan 2023
Annealing Double-Head: An Architecture for Online Calibration of Deep Neural Networks
Erdong Guo
D. Draper
Maria de Iorio
35
0
0
27 Dec 2022
TruFor: Leveraging all-round clues for trustworthy image forgery detection and localization
Fabrizio Guillaro
D. Cozzolino
Avneesh Sud
Nick Dufour
L. Verdoliva
26
99
0
21 Dec 2022
TMS-Net: A Segmentation Network Coupled With A Run-time Quality Control Method For Robust Cardiac Image Segmentation
F. Uslu
Anil A. Bharath
39
14
0
21 Dec 2022
KL Regularized Normalization Framework for Low Resource Tasks
Neeraj Kumar
Ankur Narang
Brejesh Lall
26
1
0
21 Dec 2022
AI Security for Geoscience and Remote Sensing: Challenges and Future Trends
Yonghao Xu
Tao Bai
Weikang Yu
Shizhen Chang
P. M. Atkinson
Pedram Ghamisi
AAML
38
47
0
19 Dec 2022
Bayesian posterior approximation with stochastic ensembles
Oleksandr Balabanov
Bernhard Mehlig
H. Linander
BDL
UQCV
27
5
0
15 Dec 2022
Data-driven Science and Machine Learning Methods in Laser-Plasma Physics
Andreas Döpp
C. Eberle
S. Howard
F. Irshad
Jinpu Lin
M. Streeter
AI4CE
32
63
0
30 Nov 2022
Promises and Pitfalls of Threshold-based Auto-labeling
Harit Vishwakarma
Heguang Lin
Frederic Sala
Ramya Korlakai Vinayak
34
9
0
22 Nov 2022
Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction
Masha Itkina
Mykel J. Kochenderfer
EDL
UQCV
26
26
0
16 Nov 2022
Leveraging Heteroscedastic Uncertainty in Learning Complex Spectral Mapping for Single-channel Speech Enhancement
Kuan-Lin Chen
Daniel D. E. Wong
Ke Tan
Buye Xu
Anurag Kumar
V. Ithapu
29
1
0
16 Nov 2022
Comparison of Uncertainty Quantification with Deep Learning in Time Series Regression
Levente Foldesi
Matias Valdenegro-Toro
UQCV
25
3
0
11 Nov 2022
Uncertainty Quantification for Atlas-Level Cell Type Transfer
J. Engelmann
Leon Hetzel
Giovanni Palla
L. Sikkema
Malte D. Luecken
Fabian J. Theis
27
3
0
07 Nov 2022
Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges
Qi Liu
Xueyuan Li
Zirui Li
Jingda Wu
Guodong Du
Xinlu Gao
Fan Yang
Shihua Yuan
49
8
0
06 Nov 2022
Materials Property Prediction with Uncertainty Quantification: A Benchmark Study
Daniel Varivoda
Rongzhi Dong
Sadman Sadeed Omee
Jianjun Hu
AI4CE
28
20
0
04 Nov 2022
Revisiting Softmax for Uncertainty Approximation in Text Classification
Andreas Nugaard Holm
Dustin Wright
Isabelle Augenstein
BDL
UQCV
18
8
0
25 Oct 2022
Reinforcement Learning and Bandits for Speech and Language Processing: Tutorial, Review and Outlook
Baihan Lin
OffRL
AI4TS
28
27
0
24 Oct 2022
Causal Explanation for Reinforcement Learning: Quantifying State and Temporal Importance
Xiaoxiao Wang
Fanyu Meng
Xin Liu
Z. Kong
Xin Chen
XAI
CML
FAtt
37
4
0
24 Oct 2022
Reliability-Aware Prediction via Uncertainty Learning for Person Image Retrieval
Zhaopeng Dou
Zhongdao Wang
Weihua Chen
Yali Li
Shengjin Wang
24
15
0
24 Oct 2022
MMRNet: Improving Reliability for Multimodal Object Detection and Segmentation for Bin Picking via Multimodal Redundancy
Yuhao Chen
Hayden Gunraj
E. Z. Zeng
Robbie Meyer
Maximilian Gilles
Alexander Wong
37
1
0
19 Oct 2022
A Survey of Active Learning for Natural Language Processing
Zhisong Zhang
Emma Strubell
Eduard H. Hovy
LM&MA
33
65
0
18 Oct 2022
Efficient Bayesian Updates for Deep Learning via Laplace Approximations
Denis Huseljic
M. Herde
Lukas Rauch
Paul Hahn
Zhixin Huang
D. Kottke
S. Vogt
Bernhard Sick
BDL
16
0
0
12 Oct 2022
To Softmax, or not to Softmax: that is the question when applying Active Learning for Transformer Models
Julius Gonsior
C. Falkenberg
Silvio Magino
Anja Reusch
Maik Thiele
Wolfgang Lehner
UQCV
36
7
0
06 Oct 2022
Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture
M. Jung
He Zhao
Joanna Dipnall
Belinda Gabbe
Lan Du
UQCV
EDL
57
12
0
06 Oct 2022
Uncertainty estimations methods for a deep learning model to aid in clinical decision-making -- a clinician's perspective
M. Dohopolski
Kai Wang
Biling Wang
T. Bai
D. Nguyen
David Sher
Steve B. Jiang
Jing Wang
OOD
11
5
0
02 Oct 2022
Sample-based Uncertainty Quantification with a Single Deterministic Neural Network
T. Kanazawa
Chetan Gupta
UQCV
30
4
0
17 Sep 2022
A review of predictive uncertainty estimation with machine learning
Hristos Tyralis
Georgia Papacharalampous
UD
UQCV
56
43
0
17 Sep 2022
Borch: A Deep Universal Probabilistic Programming Language
Lewis Belcher
Johan Gudmundsson
Michael Green
BDL
AI4CE
UQCV
28
0
0
13 Sep 2022
TEDL: A Two-stage Evidential Deep Learning Method for Classification Uncertainty Quantification
Xue Li
Wei Shen
Denis Xavier Charles
UQCV
EDL
40
3
0
12 Sep 2022
A Comprehensive Review of Digital Twin -- Part 2: Roles of Uncertainty Quantification and Optimization, a Battery Digital Twin, and Perspectives
Adam Thelen
Xiaoge Zhang
Olga Fink
Yan Lu
Sayan Ghosh
B. Youn
Michael D. Todd
S. Mahadevan
Chao Hu
Zhen Hu
25
86
0
27 Aug 2022
Interpretable Uncertainty Quantification in AI for HEP
Thomas Y. Chen
B. Dey
A. Ghosh
Michael Kagan
Brian D. Nord
Nesar Ramachandra
30
7
0
05 Aug 2022
Exploration with Model Uncertainty at Extreme Scale in Real-Time Bidding
Jan Hartman
Davorin Kopic
10
2
0
03 Aug 2022
Uncertainty-aware Multi-modal Learning via Cross-modal Random Network Prediction
Hu Wang
Jianpeng Zhang
Yuanhong Chen
Congbo Ma
Jodie Avery
Louise Hull
G. Carneiro
UQCV
19
18
0
22 Jul 2022
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks
Uddeshya Upadhyay
Shyamgopal Karthik
Yanbei Chen
Massimiliano Mancini
Zeynep Akata
UQCV
BDL
35
22
0
14 Jul 2022
SLOVA: Uncertainty Estimation Using Single Label One-Vs-All Classifier
Bartosz Wójcik
J. Grela
Marek Śmieja
Krzysztof Misztal
Jacek Tabor
UQCV
33
4
0
28 Jun 2022
Uncertainty-aware Evaluation of Time-Series Classification for Online Handwriting Recognition with Domain Shift
Andreas Klass
Sven M. Lorenz
M. Lauer-Schmaltz
David Rügamer
Bernd Bischl
Christopher Mutschler
Felix Ott
34
10
0
17 Jun 2022
Learning Uncertainty with Artificial Neural Networks for Improved Predictive Process Monitoring
Hans Weytjens
Jochen De Weerdt
19
17
0
13 Jun 2022
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