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1910.02600
Cited By
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Deep Evidential Regression
7 October 2019
Alexander Amini
Wilko Schwarting
A. Soleimany
Daniela Rus
EDL
PER
BDL
UD
UQCV
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Papers citing
"Deep Evidential Regression"
50 / 205 papers shown
Title
A System-Level View on Out-of-Distribution Data in Robotics
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Investigating Deep Learning Model Calibration for Classification Problems in Mechanics
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68
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ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference
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97
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21 Nov 2022
Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction
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109
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
97
2
0
16 Nov 2022
SOTIF Entropy: Online SOTIF Risk Quantification and Mitigation for Autonomous Driving
Liang Peng
Boqi Li
Wen-Hui Yu
Kailiang Yang
Wenbo Shao
Hong Wang
AAML
67
26
0
08 Nov 2022
PeSOTIF: a Challenging Visual Dataset for Perception SOTIF Problems in Long-tail Traffic Scenarios
Liangzu Peng
Jun Li
Wenbo Shao
Hong Wang
83
9
0
07 Nov 2022
Materials Property Prediction with Uncertainty Quantification: A Benchmark Study
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Rongzhi Dong
Sadman Sadeed Omee
Jianjun Hu
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90
23
0
04 Nov 2022
Uncertainty-Aware DNN for Multi-Modal Camera Localization
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Augusto Luis Ballardini
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81
1
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Ignacio
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Javier Del Ser
64
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0
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Probabilistic Traversability Model for Risk-Aware Motion Planning in Off-Road Environments
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Michael Everett
Lakshay Sharma
Philip R. Osteen
Jonathan P. How
101
40
0
01 Oct 2022
Out-of-Distribution Detection with Hilbert-Schmidt Independence Optimization
Jingyang Lin
Yu Wang
Qi Cai
Yingwei Pan
Ting Yao
Hongyang Chao
Tao Mei
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64
3
0
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Some Supervision Required: Incorporating Oracle Policies in Reinforcement Learning via Epistemic Uncertainty Metrics
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Jordan Terry
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80
2
0
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Markus Heinonen
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42
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Uncertainty-aware Panoptic Segmentation
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Sajad Marvi
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Wolfram Burgard
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80
26
0
29 Jun 2022
Distributional Gaussian Processes Layers for Out-of-Distribution Detection
S. Popescu
D. Sharp
James H. Cole
Konstantinos Kamnitsas
Ben Glocker
OOD
102
0
0
27 Jun 2022
A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning
Zhen Guo
Zelin Wan
Qisheng Zhang
Xujiang Zhao
F. Chen
Jin-Hee Cho
Qi Zhang
Lance M. Kaplan
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A. Jøsang
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75
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0
12 Jun 2022
Disentangling Epistemic and Aleatoric Uncertainty in Reinforcement Learning
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UD
85
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117
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The Unreasonable Effectiveness of Deep Evidential Regression
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EDL
288
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A Survey on Uncertainty Toolkits for Deep Learning
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78
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Tailored Uncertainty Estimation for Deep Learning Systems
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Maram Akila
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Fabian Hüger
Peter Schlicht
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UQCV
79
2
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29 Apr 2022
Autoencoder Attractors for Uncertainty Estimation
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B. Taetz
Thomas Stifter
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UQCV
86
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0
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Multidimensional Belief Quantification for Label-Efficient Meta-Learning
Deepshikha Pandey
Qi Yu
UQCV
50
11
0
23 Mar 2022
OpenTAL: Towards Open Set Temporal Action Localization
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Qi Yu
Yu Kong
EDL
74
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10 Mar 2022
Augmenting Neural Networks with Priors on Function Values
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Yixin Wang
Jennifer Listgarten
74
3
0
10 Feb 2022
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
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Miguel A. Olivares-Mendez
OOD
81
7
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03 Feb 2022
Deep Learning meets Liveness Detection: Recent Advancements and Challenges
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Marzieh Oghbaie
Kooshan Hashemifard
Mohammad Akbari
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75
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Improving evidential deep learning via multi-task learning
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UQCV
102
24
0
17 Dec 2021
Semi-supervised Impedance Inversion by Bayesian Neural Network Based on 2-d CNN Pre-training
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Wenlong Wang
Wangxiangming Zheng
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41
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Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions
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Zongbo Han
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140
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Uncertainty Quantification in Neural Differential Equations
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125
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Robust Monocular Localization in Sparse HD Maps Leveraging Multi-Task Uncertainty Estimation
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117
25
0
20 Oct 2021
Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty Estimation
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UD
EDL
PER
152
55
0
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Reliable Neural Networks for Regression Uncertainty Estimation
Tony Tohme
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85
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PI3NN: Out-of-distribution-aware prediction intervals from three neural networks
Si-Yuan Liu
Pei Zhang
Dan Lu
Guannan Zhang
OODD
65
10
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05 Aug 2021
Evidential Deep Learning for Open Set Action Recognition
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Qi Yu
Yu Kong
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116
141
0
21 Jul 2021
Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement Learning
Peide Cai
Hengli Wang
Huaiyang Huang
Yuxuan Liu
Ming-Yuan Liu
53
66
0
18 Jul 2021
Calibrated Uncertainty for Molecular Property Prediction using Ensembles of Message Passing Neural Networks
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Peter Bjørn Jørgensen
Arghya Bhowmik
Mikkel N. Schmidt
Ole Winther
Tejs Vegge
82
52
0
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A Survey of Uncertainty in Deep Neural Networks
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Cedrique Rovile Njieutcheu Tassi
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Jongseo Lee
Matthias Humt
...
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Muhammad Shahzad
Wen Yang
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Xiaoxiang Zhu
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242
1,179
0
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Leveraging Graph and Deep Learning Uncertainties to Detect Anomalous Trajectories
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Adaptive machine learning for protein engineering
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Kevin Kaichuang Yang
92
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0
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Evidential Turing Processes
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70
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Sibo Zhu
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253
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Natural Posterior Network: Deep Bayesian Uncertainty for Exponential Family Distributions
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17
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Multivariate Deep Evidential Regression
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90
21
0
13 Apr 2021
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