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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"
50 / 574 papers shown
Credal Bayesian Deep Learning
Michele Caprio
Souradeep Dutta
Kuk Jin Jang
Vivian Lin
Radoslav Ivanov
O. Sokolsky
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UQCV
521
31
0
19 Feb 2023
Entity Aware Modelling: A Survey
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Haoyu Yang
A. Khandelwal
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X. Jia
Vipin Kumar
232
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16 Feb 2023
A Review of Uncertainty Estimation and its Application in Medical Imaging
K. Zou
Zhihao Chen
Xuedong Yuan
Xiaojing Shen
Meng Wang
Huazhu Fu
UQCV
294
129
0
16 Feb 2023
Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts
International Conference on Machine Learning (ICML), 2023
H. Bui
Anqi Liu
OOD
UQCV
578
9
0
13 Feb 2023
Uncertainty-Aware AB3DMOT by Variational 3D Object Detection
International Conference on Information Photonics (ICIP), 2023
Illia Oleksiienko
Alexandros Iosifidis
3DPC
211
5
0
12 Feb 2023
Variational Voxel Pseudo Image Tracking
IEEE Symposium Series on Computational Intelligence (IEEE-SSCI), 2023
Illia Oleksiienko
Paraskevi Nousi
Nikolaos Passalis
Anastasios Tefas
Alexandros Iosifidis
163
1
0
12 Feb 2023
Beyond In-Domain Scenarios: Robust Density-Aware Calibration
International Conference on Machine Learning (ICML), 2023
Christian Tomani
Futa Waseda
Yuesong Shen
Zorah Lähner
UQCV
208
12
0
10 Feb 2023
IB-UQ: Information bottleneck based uncertainty quantification for neural function regression and neural operator learning
Journal of Computational Physics (JCP), 2023
Ling Guo
Hao Wu
Wenwen Zhou
Yan Wang
Tao Zhou
UQCV
314
21
0
07 Feb 2023
Generating Evidential BEV Maps in Continuous Driving Space
Isprs Journal of Photogrammetry and Remote Sensing (ISPRS J. Photogramm. Remote Sens.), 2023
Yunshuang Yuan
Hao Cheng
M. Yang
Monika Sester
260
19
0
06 Feb 2023
Variational Inference on the Final-Layer Output of Neural Networks
Yadi Wei
Roni Khardon
BDL
UQCV
350
0
0
05 Feb 2023
Reliable Federated Disentangling Network for Non-IID Domain Feature
IEEE Transactions on Big Data (IEEE Trans. Big Data), 2023
Ming Wang
Kai-An Yu
Chun-Mei Feng
Yiming Qian
K. Zou
Lianyu Wang
Rick Siow Mong Goh
Yong-Jin Liu
Huazhu Fu
OOD
274
1
0
30 Jan 2023
On Second-Order Scoring Rules for Epistemic Uncertainty Quantification
International Conference on Machine Learning (ICML), 2023
Viktor Bengs
Eyke Hüllermeier
Willem Waegeman
UQCV
479
30
0
30 Jan 2023
Failure Detection for Motion Prediction of Autonomous Driving: An Uncertainty Perspective
IEEE International Conference on Robotics and Automation (ICRA), 2023
Wenbo Shao
Yan Xu
Liang Peng
Jun Li
Hong Wang
136
18
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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
169
13
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11 Jan 2023
Credible Remote Sensing Scene Classification Using Evidential Fusion on Aerial-Ground Dual-view Images
Remote Sensing (RS), 2023
Kun Zhao
Qian Gao
Siyuan Hao
Jie Sun
Lijian Zhou
EDL
183
11
0
02 Jan 2023
Towards Reliable Medical Image Segmentation by Modeling Evidential Calibrated Uncertainty
K. Zou
Yidi Chen
Ling Huang
Xuedong Yuan
Xiaojing Shen
Meng Wang
Rick Siow Mong Goh
Yong-Jin Liu
Huazhu Fu
UQCV
286
4
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01 Jan 2023
AI Security for Geoscience and Remote Sensing: Challenges and Future Trends
IEEE Geoscience and Remote Sensing Magazine (GRSM), 2022
Yonghao Xu
Tao Bai
Weikang Yu
Shizhen Chang
P. M. Atkinson
Pedram Ghamisi
AAML
311
62
0
19 Dec 2022
Post-hoc Uncertainty Learning using a Dirichlet Meta-Model
AAAI Conference on Artificial Intelligence (AAAI), 2022
Maohao Shen
Yuheng Bu
P. Sattigeri
S. Ghosh
Subhro Das
G. Wornell
UQCV
OOD
BDL
185
43
0
14 Dec 2022
Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Experts
International Conference on Learning Representations (ICLR), 2022
Zhitong Gao
Yucong Chen
Chuyu Zhang
Xuming He
UQCV
200
11
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14 Dec 2022
An Exploratory Study of AI System Risk Assessment from the Lens of Data Distribution and Uncertainty
Zhijie Wang
Yuheng Huang
Lei Ma
Haruki Yokoyama
Susumu Tokumoto
Kazuki Munakata
214
6
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13 Dec 2022
Selective classification using a robust meta-learning approach
Nishant Jain
Karthikeyan Shanmugam
Pradeep Shenoy
OOD
253
3
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12 Dec 2022
Evidential Deep Learning for Class-Incremental Semantic Segmentation
Scandinavian Conference on Image Analysis (SCIA), 2022
Karl Holmquist
Lena Klasén
Michael Felsberg
EDL
CLL
111
9
0
06 Dec 2022
Calibration and generalizability of probabilistic models on low-data chemical datasets with DIONYSUS
Digital Discovery (DD), 2022
Gary Tom
Riley J. Hickman
Aniket N. Zinzuwadia
A. Mohajeri
Benjamín Sánchez-Lengeling
A. Aspuru‐Guzik
193
23
0
03 Dec 2022
Investigating Deep Learning Model Calibration for Classification Problems in Mechanics
S. Mohammadzadeh
Peerasait Prachaseree
Emma Lejeune
AI4CE
180
7
0
01 Dec 2022
Reliable Joint Segmentation of Retinal Edema Lesions in OCT Images
Meng Wang
Kai-An Yu
Chun-Mei Feng
K. Zou
Yanyu Xu
Qingquan Meng
Rick Siow Mong Goh
Yong Liu
Huazhu Fu
MedIm
227
3
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01 Dec 2022
Evidential Conditional Neural Processes
AAAI Conference on Artificial Intelligence (AAAI), 2022
Deepshikha Pandey
Qi Yu
BDL
EDL
UQCV
184
18
0
30 Nov 2022
Birds of a Feather Trust Together: Knowing When to Trust a Classifier via Adaptive Neighborhood Aggregation
Miao Xiong
Shen Li
Wenjie Feng
Ailin Deng
Jihai Zhang
Bryan Hooi
201
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29 Nov 2022
Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty Quantification
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Xing Yan
Yonghua Su
Wenxuan Ma
UQCV
296
2
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26 Nov 2022
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference
Nikita Durasov
Nik Dorndorf
Hieu M. Le
Pascal Fua
UQCV
280
17
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21 Nov 2022
Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction
Conference on Robot Learning (CoRL), 2022
Masha Itkina
Mykel J. Kochenderfer
EDL
UQCV
282
32
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16 Nov 2022
Data-Driven Occupancy Grid Mapping using Synthetic and Real-World Data
Raphael van Kempen
Bastian Lampe
Lennart Reiher
Timo Woopen
Till Beemelmanns
L. Eckstein
129
2
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Materials Property Prediction with Uncertainty Quantification: A Benchmark Study
Applied Physics Reviews (APR), 2022
Daniel Varivoda
Rongzhi Dong
Sadman Sadeed Omee
Jianjun Hu
AI4CE
310
31
0
04 Nov 2022
Uncertainty-Aware DNN for Multi-Modal Camera Localization
International Conference on Informatics in Control, Automation and Robotics (ICINCO), 2022
Matteo Vaghi
Augusto Luis Ballardini
S. Fontana
D. Sorrenti
UQCV
EDL
196
2
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02 Nov 2022
A Graph Is More Than Its Nodes: Towards Structured Uncertainty-Aware Learning on Graphs
Hans Hao-Hsun Hsu
Yuesong Shen
Zorah Lähner
211
7
0
27 Oct 2022
Towards Trustworthy Multi-label Sewer Defect Classification via Evidential Deep Learning
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Chenyang Zhao
Chuanfei Hu
Hang Shao
Zhe Wang
Yongxiong Wang
132
16
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25 Oct 2022
GFlowOut: Dropout with Generative Flow Networks
International Conference on Machine Learning (ICML), 2022
Dianbo Liu
Moksh Jain
Bonaventure F. P. Dossou
Qianli Shen
Salem Lahlou
...
Dinghuai Zhang
N. Hassen
Xu Ji
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Yoshua Bengio
UQCV
BDL
OOD
272
27
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Falsehoods that ML researchers believe about OOD detection
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Damon J. Wischik
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271
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Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Dennis Ulmer
J. Frellsen
Christian Hardmeier
443
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Deep Combinatorial Aggregation
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Zorah Lähner
OOD
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146
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What Makes Graph Neural Networks Miscalibrated?
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Hans Hao-Hsun Hsu
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Christian Tomani
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262
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Is your noise correction noisy? PLS: Robustness to label noise with two stage detection
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Paul Albert
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Tarun Kirshna
Noel E. O'Connor
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195
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Uncertainty-aware LiDAR Panoptic Segmentation
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Sajad Marvi
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Wolfram Burgard
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126
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To Softmax, or not to Softmax: that is the question when applying Active Learning for Transformer Models
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210
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185
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258
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256
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Biling Wang
T. Bai
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203
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Probabilistic Traversability Model for Risk-Aware Motion Planning in Off-Road Environments
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Michael Everett
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Philip R. Osteen
Jonathan P. How
294
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Yu Wang
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140
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Jonathan Sadeghi
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Romain Mueller
P. Dokania
228
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