Evidential Deep Learning to Quantify Classification Uncertainty

5 June 2018

Papers citing "Evidential Deep Learning to Quantify Classification Uncertainty"

50 / 487 papers shown

Title
Uncertainty-informed Mutual Learning for Joint Medical Image Classification and Segmentation Kai Ren K. Zou Xianjie Liu Yidi Chen Xuedong Yuan Xiaojing Shen Meng Wang H. Fu EDL 27 12 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 H. Fu 22 3 0 17 Mar 2023
Long-tailed Classification from a Bayesian-decision-theory Perspective Bolian Li Ruqi Zhang 37 1 0 10 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 28 7 0 06 Mar 2023
Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT Jiaqi Wang Shenglai Zeng Zewei Long Yaqing Wang Houping Xiao Fenglong Ma 19 16 0 05 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 32 40 0 03 Mar 2023
Toward Robust Uncertainty Estimation with Random Activation Functions Y. Stoyanova Soroush Ghandi M. Tavakol UQCV 21 2 0 28 Feb 2023
Open Set Action Recognition via Multi-Label Evidential Learning Chen Zhao Dawei Du A. Hoogs Christopher Funk EDL 14 23 0 27 Feb 2023
Dirichlet-based Uncertainty Calibration for Active Domain Adaptation Mixue Xie Shuang Li Rui Zhang Chi Harold Liu UQCV 38 29 0 27 Feb 2023
Online Black-Box Confidence Estimation of Deep Neural Networks Fabian Woitschek G. Schneider UQCV 18 1 0 27 Feb 2023
A Survey on Uncertainty Quantification Methods for Deep Learning Wenchong He Zhe Jiang Tingsong Xiao Zelin Xu Yukun Li BDL UQCV AI4CE 19 18 0 26 Feb 2023
Credal Bayesian Deep Learning Michele Caprio Souradeep Dutta Kuk Jin Jang Vivian Lin Radoslav Ivanov O. Sokolsky Insup Lee OOD BDL UQCV 31 18 0 19 Feb 2023
Entity Aware Modelling: A Survey Rahul Ghosh Haoyu Yang A. Khandelwal Erhu He Arvind Renganathan Somya Sharma X. Jia Vipin Kumar 36 7 0 16 Feb 2023
A Review of Uncertainty Estimation and its Application in Medical Imaging K. Zou Zhihao Chen Xuedong Yuan Xiaojing Shen Meng Wang H. Fu UQCV 43 86 0 16 Feb 2023
Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts H. Bui Anqi Liu OOD UQCV 13 6 0 13 Feb 2023
Uncertainty-Aware AB3DMOT by Variational 3D Object Detection Illia Oleksiienko Alexandros Iosifidis 3DPC 28 1 0 12 Feb 2023
Variational Voxel Pseudo Image Tracking Illia Oleksiienko Paraskevi Nousi Nikolaos Passalis Anastasios Tefas Alexandros Iosifidis 19 1 0 12 Feb 2023
Beyond In-Domain Scenarios: Robust Density-Aware Calibration Christian Tomani Futa Waseda Yuesong Shen Daniel Cremers UQCV 21 4 0 10 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 13 11 0 07 Feb 2023
Generating Evidential BEV Maps in Continuous Driving Space Yunshuang Yuan Hao Cheng M. Yang Monika Sester 28 10 0 06 Feb 2023
Variational Inference on the Final-Layer Output of Neural Networks Yadi Wei R. Khardon BDL UQCV 26 0 0 05 Feb 2023
Reliable Federated Disentangling Network for Non-IID Domain Feature M. Wang Kai-An Yu Chun-Mei Feng Yiming Qian K. Zou Lianyu Wang Rick Siow Mong Goh Yong-Jin Liu H. Fu OOD 27 1 0 30 Jan 2023
On Second-Order Scoring Rules for Epistemic Uncertainty Quantification Viktor Bengs Eyke Hüllermeier Willem Waegeman UQCV 202 25 0 30 Jan 2023
Failure Detection for Motion Prediction of Autonomous Driving: An Uncertainty Perspective Wenbo Shao Yan Xu Liang Peng Jun Li Hong Wang 29 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
Credible Remote Sensing Scene Classification Using Evidential Fusion on Aerial-Ground Dual-view Images Kun Zhao Qian Gao Siyuan Hao Jie Sun Lijian Zhou EDL 22 11 0 02 Jan 2023
Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated Uncertainty K. Zou Yidi Chen Ling Huang Xuedong Yuan Xiaojing Shen Meng Wang Rick Siow Mong Goh Yong-Jin Liu H. Fu UQCV 25 4 0 01 Jan 2023
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
Post-hoc Uncertainty Learning using a Dirichlet Meta-Model Maohao Shen Yuheng Bu P. Sattigeri S. Ghosh Subhro Das G. Wornell UQCV OOD BDL 13 31 0 14 Dec 2022
Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Experts Zhitong Gao Yucong Chen Chuyu Zhang Xuming He UQCV 19 5 0 14 Dec 2022
An Exploratory Study of AI System Risk Assessment from the Lens of Data Distribution and Uncertainty Zhijie Wang Yuheng Huang L. Ma Haruki Yokoyama Susumu Tokumoto Kazuki Munakata 24 4 0 13 Dec 2022
Selective classification using a robust meta-learning approach Nishant Jain Karthikeyan Shanmugam Pradeep Shenoy OOD 26 2 0 12 Dec 2022
Evidential Deep Learning for Class-Incremental Semantic Segmentation Karl Holmquist Lena Klasén M. Felsberg EDL CLL 11 6 0 06 Dec 2022
Calibration and generalizability of probabilistic models on low-data chemical datasets with DIONYSUS Gary Tom Riley J. Hickman Aniket N. Zinzuwadia A. Mohajeri Benjamín Sánchez-Lengeling A. Aspuru‐Guzik 21 16 0 03 Dec 2022
Investigating Deep Learning Model Calibration for Classification Problems in Mechanics S. Mohammadzadeh Peerasait Prachaseree Emma Lejeune AI4CE 34 2 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 H. Fu MedIm 27 3 0 01 Dec 2022
Evidential Conditional Neural Processes Deepshikha Pandey Qi Yu BDL EDL UQCV 12 13 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 11 6 0 29 Nov 2022
Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty Quantification Xing Yan Yonghua Su Wenxuan Ma UQCV 25 1 0 26 Nov 2022
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference N. Durasov Nik Dorndorf Hieu M. Le Pascal Fua UQCV 27 10 0 21 Nov 2022
Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction Masha Itkina Mykel J. Kochenderfer EDL UQCV 21 26 0 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 14 1 0 15 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
Uncertainty-Aware DNN for Multi-Modal Camera Localization Matteo Vaghi Augusto Luis Ballardini S. Fontana D. Sorrenti UQCV EDL 19 1 0 02 Nov 2022
A Graph Is More Than Its Nodes: Towards Structured Uncertainty-Aware Learning on Graphs Hans Hao-Hsun Hsu Yuesong Shen Daniel Cremers 12 7 0 27 Oct 2022
Towards Trustworthy Multi-label Sewer Defect Classification via Evidential Deep Learning Chenyang Zhao Chuanfei Hu Hang Shao Zhe Wang Yongxiong Wang 14 11 0 25 Oct 2022
GFlowOut: Dropout with Generative Flow Networks Dianbo Liu Moksh Jain Bonaventure F. P. Dossou Qianli Shen Salem Lahlou ... Dinghuai Zhang N. Hassen Xu Ji Kenji Kawaguchi Yoshua Bengio UQCV BDL OOD 30 20 0 24 Oct 2022
Falsehoods that ML researchers believe about OOD detection Andi Zhang Damon J. Wischik OODD 11 6 0 23 Oct 2022
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity Dennis Ulmer J. Frellsen Christian Hardmeier 187 22 0 20 Oct 2022
Deep Combinatorial Aggregation Yuesong Shen Daniel Cremers OOD UQCV 12 4 0 12 Oct 2022