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Deep Evidential Regression

7 October 2019

Daniela Rus

Papers citing "Deep Evidential Regression"

50 / 205 papers shown

Title
PAGER: A Framework for Failure Analysis of Deep Regression Models Jayaraman J. Thiagarajan V. Narayanaswamy Puja Trivedi Rushil Anirudh 67 0 0 20 Sep 2023
MEDL-U: Uncertainty-aware 3D Automatic Annotation based on Evidential Deep Learning Helbert Paat Qing Lian Weilong Yao Tong Zhang EDL 71 0 0 18 Sep 2023
Closing the Loop on Runtime Monitors with Fallback-Safe MPC Rohan Sinha Edward Schmerling Marco Pavone 220 11 0 15 Sep 2023
Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance Lei Fan Bo Liu Haoxiang Li Ying Wu Gang Hua 81 5 0 14 Sep 2023
Uncertainty-aware Traffic Prediction under Missing Data Hao Mei Junxian Li Zhiming Liang Guanjie Zheng Bin Shi Hua Wei EDL 107 6 0 13 Sep 2023
SOAR: Scene-debiasing Open-set Action Recognition Yuanhao Zhai Ziyi Liu Zhenyu Wu Yi Wu Chunluan Zhou David Doermann Junsong Yuan Gang Hua 96 12 0 03 Sep 2023
Deep Evidential Learning for Bayesian Quantile Regression F. B. Hüttel Filipe Rodrigues Francisco Câmara Pereira UD EDL BDL UQCV 64 5 0 21 Aug 2023
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression Xuanlong Yu Gianni Franchi Jindong Gu Emanuel Aldea UQCV 73 5 0 17 Aug 2023
Probabilistic MIMO U-Net: Efficient and Accurate Uncertainty Estimation for Pixel-wise Regression Anton Baumann Thomas Roßberg Michael Schmitt UQCV 70 2 0 14 Aug 2023
DELO: Deep Evidential LiDAR Odometry using Partial Optimal Transport Sk Aziz Ali Djamila Aouada Gerd Reis D. Stricker 51 4 0 14 Aug 2023
FusionPlanner: A Multi-task Motion Planner for Mining Trucks via Multi-sensor Fusion Siyu Teng Luxi Li Yuchen Li Xuemin Hu Lingxi Li Yunfeng Ai Long Chen 69 39 0 14 Aug 2023
ELFNet: Evidential Local-global Fusion for Stereo Matching Jieming Lou Weide Liu Zhu Chen Fayao Liu Jun Cheng 81 26 0 01 Aug 2023
Capsa: A Unified Framework for Quantifying Risk in Deep Neural Networks Sadhana Lolla I. Elistratov Alejandro Perez Elaheh Ahmadi Daniela Rus Alexander Amini UQCV 39 1 0 01 Aug 2023
Prediction of wind turbines power with physics-informed neural networks and evidential uncertainty quantification A. Gijón Ainhoa Pujana-Goitia E. Perea Miguel Molina-Solana Juan Gómez-Romero 47 4 0 27 Jul 2023
Continuous Time Evidential Distributions for Irregular Time Series Taylor W. Killian Haoran Zhang Thomas Hartvigsen Ava P. Amini OOD EDL 97 0 0 25 Jul 2023
Integrating Large Pre-trained Models into Multimodal Named Entity Recognition with Evidential Fusion Weide Liu Xiaoyang Zhong Jingwen Hou Shaohua Li Haozhe Huang Yuming Fang EDL 58 5 0 29 Jun 2023
Evidential Detection and Tracking Collaboration: New Problem, Benchmark and Algorithm for Robust Anti-UAV System Xuefeng Zhu Tian-Hao Xu Jian-jun Zhao Jiawen Liu Kai Wang ... Qiang Wang Lei Jin Zhengyu Zhu Junliang Xing Xiaojun Wu 93 11 0 27 Jun 2023
Uncertainty Estimation for Molecules: Desiderata and Methods Tom Wollschlager Nicholas Gao Bertrand Charpentier Mohamed Amine Ketata Stephan Günnemann 95 10 0 20 Jun 2023
Learn to Accumulate Evidence from All Training Samples: Theory and Practice Deepshikha Pandey Qi Yu EDL 74 18 0 19 Jun 2023
MUBen: Benchmarking the Uncertainty of Molecular Representation Models Yinghao Li Lingkai Kong Yuanqi Du Yue Yu Yuchen Zhuang Wenhao Mu Chao Zhang 101 11 0 14 Jun 2023
Estimating the Uncertainty in Emotion Attributes using Deep Evidential Regression Wen Wu Chuxu Zhang P. Woodland UQCV UD EDL 68 12 0 11 Jun 2023
Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing Ziyan Wang Hao Wang UQCV 82 0 0 11 Jun 2023
Conformalizing Machine Translation Evaluation Chrysoula Zerva André F.T. Martins 145 3 0 09 Jun 2023
Uncertainty in Natural Language Processing: Sources, Quantification, and Applications Mengting Hu Zhen Zhang Shiwan Zhao Minlie Huang Bingzhe Wu BDL 103 39 0 05 Jun 2023
dugMatting: Decomposed-Uncertainty-Guided Matting Jiawei Wu Changqing Zhang Zuoyong Li Huazhu Fu Xi Peng Qiufeng Wang 78 5 0 02 Jun 2023
E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition Zhen Zhang Mengting Hu Shiwan Zhao Minlie Huang Mengting Hu Lemao Liu Zhirui Zhang Yanfeng Guo Bingzhe Wu EDL 88 10 0 29 May 2023
UMat: Uncertainty-Aware Single Image High Resolution Material Capture Carlos Rodriguez-Pardo Henar Dominguez-Elvira David Pascual-Hernández Elena Garces 77 16 0 25 May 2023
Semi-Supervised Graph Imbalanced Regression Gang Liu Tong Zhao Eric Inae Te Luo Meng Jiang 89 20 0 20 May 2023
Semantic Anomaly Detection with Large Language Models Amine Elhafsi Rohan Sinha Christopher Agia Edward Schmerling I. Nesnas Marco Pavone 101 75 0 18 May 2023
UQ for Credit Risk Management: A deep evidence regression approach Ashish Dhiman 21 0 0 08 May 2023
Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial V. Nemani Luca Biggio Xun Huan Zhen Hu Olga Fink Anh Tran Yan Wang Xiaoge Zhang Chao Hu AI4CE 120 81 0 07 May 2023
Single-model uncertainty quantification in neural network potentials does not consistently outperform model ensembles Aik Rui Tan S. Urata Samuel Goldman Johannes C. B. Dietschreit Rafael Gómez-Bombarelli BDL 97 46 0 02 May 2023
Single Image Depth Prediction Made Better: A Multivariate Gaussian Take Ce Liu Suryansh Kumar Shuhang Gu Radu Timofte Luc Van Gool MDE VLM 114 15 0 31 Mar 2023
Enlarging Instance-specific and Class-specific Information for Open-set Action Recognition Jun Cen Shiwei Zhang Xiang Wang Yixuan Pei Zhiwu Qing Yingya Zhang Qifeng Chen 80 3 0 25 Mar 2023
Data-Centric Learning from Unlabeled Graphs with Diffusion Model Gang Liu Eric Inae Tong Zhao Jiaxin Xu Te Luo Meng Jiang DiffM 77 26 0 17 Mar 2023
Reliable Multimodality Eye Disease Screening via Mixture of Student's t Distributions K. Zou Tian Lin Xuedong Yuan Haoyu Chen Xiaojing Shen Meng Wang Huazhu Fu 63 3 0 17 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 78 8 0 06 Mar 2023
Uncertainty Estimation by Fisher Information-based Evidential Deep Learning Danruo Deng Guangyong Chen Yang Yu Fu-Lun Liu Pheng-Ann Heng EDL UQCV FedML 132 47 0 03 Mar 2023
LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning Firas Al-Hafez Davide Tateo Oleg Arenz Guoping Zhao Jan Peters 71 24 0 01 Mar 2023
Open Set Action Recognition via Multi-Label Evidential Learning Chen Zhao Dawei Du A. Hoogs Christopher Funk EDL 68 26 0 27 Feb 2023
Dirichlet-based Uncertainty Calibration for Active Domain Adaptation Mixue Xie Shuang Li Rui Zhang Chi Harold Liu UQCV 89 29 0 27 Feb 2023
Credal Bayesian Deep Learning Michele Caprio Souradeep Dutta Kuk Jin Jang Vivian Lin Radoslav Ivanov O. Sokolsky Insup Lee OOD BDL UQCV 126 23 0 19 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 127 92 0 16 Feb 2023
A Benchmark on Uncertainty Quantification for Deep Learning Prognostics Luis Basora Arthur Viens M. A. Chao X. Olive UQCV BDL OOD 98 11 0 09 Feb 2023
Sample-efficient Multi-objective Molecular Optimization with GFlowNets Yiheng Zhu Jialun Wu Chaowen Hu Jiahuan Yan Chang-Yu Hsieh Tingjun Hou Jian Wu 128 36 0 08 Feb 2023
IB-UQ: Information bottleneck based uncertainty quantification for neural function regression and neural operator learning Ling Guo Hao Wu Wenwen Zhou Yan Wang Tao Zhou UQCV 77 12 0 07 Feb 2023
Clarifying Trust of Materials Property Predictions using Neural Networks with Distribution-Specific Uncertainty Quantification Cameron J Gruich Varun Madhavan Yixin Wang B. Goldsmith 56 11 0 06 Feb 2023
Probabilistic Neural Data Fusion for Learning from an Arbitrary Number of Multi-fidelity Data Sets Carlos Mora J. Eweis-Labolle Tyler B. Johnson Likith Gadde Ramin Bostanabad AI4CE 44 11 0 30 Jan 2023
On Second-Order Scoring Rules for Epistemic Uncertainty Quantification Viktor Bengs Eyke Hüllermeier Willem Waegeman UQCV 304 26 0 30 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 88 9 0 11 Jan 2023