Evidential Deep Learning to Quantify Classification Uncertainty

5 June 2018

Papers citing "Evidential Deep Learning to Quantify Classification Uncertainty"

50 / 488 papers shown

Title
Deep Combinatorial Aggregation Yuesong Shen Daniel Cremers OOD UQCV 14 4 0 12 Oct 2022
What Makes Graph Neural Networks Miscalibrated? Hans Hao-Hsun Hsu Yuesong Shen Christian Tomani Daniel Cremers 32 36 0 12 Oct 2022
Is your noise correction noisy? PLS: Robustness to label noise with two stage detection Paul Albert Eric Arazo Tarun Kirshna Noel E. O'Connor Kevin McGuinness NoLa 27 14 0 10 Oct 2022
Uncertainty-aware LiDAR Panoptic Segmentation Kshitij Sirohi Sajad Marvi Daniel Buscher Wolfram Burgard 3DPC UQCV 34 6 0 10 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
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis Benjamin Lambert Florence Forbes A. Tucholka Senan Doyle Harmonie Dehaene M. Dojat 29 78 0 05 Oct 2022
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models Chen Liang Wenguan Wang Jiaxu Miao Yi Yang VLM 39 117 0 05 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
Probabilistic Traversability Model for Risk-Aware Motion Planning in Off-Road Environments Xiaoyi Cai Michael Everett Lakshay Sharma Philip R. Osteen Jonathan P. How 30 37 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 OODD 28 3 0 26 Sep 2022
Query-based Hard-Image Retrieval for Object Detection at Test Time Edward W. Ayers Jonathan Sadeghi John Redford Romain Mueller P. Dokania 25 1 0 23 Sep 2022
Testing Rare Downstream Safety Violations via Upstream Adaptive Sampling of Perception Error Models Craig Innes S. Ramamoorthy AAML 19 13 0 20 Sep 2022
Introspective Learning : A Two-Stage Approach for Inference in Neural Networks Mohit Prabhushankar Ghassan AlRegib 46 19 0 17 Sep 2022
Mitigating Both Covariate and Conditional Shift for Domain Generalization Jianxin Lin Yongqiang Tang Junping Wang Wensheng Zhang OOD 45 3 0 17 Sep 2022
TEDL: A Two-stage Evidential Deep Learning Method for Classification Uncertainty Quantification Xue Li Wei Shen Denis Xavier Charles UQCV EDL 45 3 0 12 Sep 2022
Segmenting Known Objects and Unseen Unknowns without Prior Knowledge Stefano Gasperini Alvaro Marcos-Ramiro Michael Schmidt Nassir Navab Benjamin Busam F. Tombari 43 8 0 12 Sep 2022
Consistency-Based Semi-supervised Evidential Active Learning for Diagnostic Radiograph Classification Shafa Balaram C. Nguyen Ashraf Kassim Pavitra Krishnaswamy EDL 10 11 0 05 Sep 2022
Correct-by-Construction Runtime Enforcement in AI -- A Survey Bettina Könighofer Roderick Bloem Rüdiger Ehlers Christian Pek 17 11 0 30 Aug 2022
Uncertainty-Induced Transferability Representation for Source-Free Unsupervised Domain Adaptation Jiangbo Pei Zhuqing Jiang Aidong Men Liang Chen Yang Liu Qingchao Chen 33 26 0 30 Aug 2022
Towards Open Set Video Anomaly Detection Yuansheng Zhu Wentao Bao Qi Yu EDL 19 23 0 23 Aug 2022
Deep Generative Views to Mitigate Gender Classification Bias Across Gender-Race Groups Sreeraj Ramachandran A. Rattani FaML 28 13 0 17 Aug 2022
Region-Based Evidential Deep Learning to Quantify Uncertainty and Improve Robustness of Brain Tumor Segmentation Hao Li Yang Nan Javier Del Ser Guang Yang EDL OOD UQCV 6 39 0 11 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
Towards Confident Detection of Prostate Cancer using High Resolution Micro-ultrasound Mahdi Gilany P. Wilson A. Jamzad Fahimeh Fooladgar Minh Nguyen Nhat To Brian Wodlinger Purang Abolmaesumi P. Mousavi 12 11 0 21 Jul 2022
Bayesian Evidential Learning for Few-Shot Classification Xiongkun Linghu Yan Bai Yihang Lou Shengsen Wu Jinze Li Jianzhong He Tao Bai BDL EDL UQCV 23 2 0 19 Jul 2022
Sample-dependent Adaptive Temperature Scaling for Improved Calibration Thomas Joy Francesco Pinto Ser-Nam Lim Philip Torr P. Dokania UQCV 27 30 0 13 Jul 2022
Embedding contrastive unsupervised features to cluster in- and out-of-distribution noise in corrupted image datasets Paul Albert Eric Arazo Noel E. O'Connor Kevin McGuinness 27 8 0 04 Jul 2022
Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approach Vishnu Raj Tianyu Cui Markus Heinonen Pekka Marttinen UQCV BDL 30 1 0 04 Jul 2022
Uncertainty-aware Panoptic Segmentation Kshitij Sirohi Sajad Marvi Daniel Buscher Wolfram Burgard EDL UQCV 31 26 0 29 Jun 2022
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness Francesco Pinto Harry Yang Ser-Nam Lim Philip Torr P. Dokania UQCV 33 34 0 29 Jun 2022
Towards OOD Detection in Graph Classification from Uncertainty Estimation Perspective Gleb Bazhenov Sergei Ivanov Maxim Panov Alexey Zaytsev Evgeny Burnaev UQCV 33 9 0 21 Jun 2022
TBraTS: Trusted Brain Tumor Segmentation Ke Zou Xuedong Yuan Xiaojing Shen Meng Wang Huazhu Fu UQCV OOD 32 54 0 19 Jun 2022
Switchable Representation Learning Framework with Self-compatibility Shengsen Wu Yan Bai Yihang Lou Xiongkun Linghu Jianzhong He Ling-yu Duan 22 1 0 16 Jun 2022
Epistemic Deep Learning Shireen Kudukkil Manchingal Fabio Cuzzolin UQCV BDL EDL FedML UD 23 6 0 15 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 Dong-Ho Jeong A. Jøsang UQCV EDL 17 10 0 12 Jun 2022
BSM loss: A superior way in modeling aleatory uncertainty of fine_grained classification Shuang Ge Kehong Yuan Maokun Han Desheng Sun Huabin Zhang Qiongyu Ye UQCV 12 0 0 09 Jun 2022
Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty Improve Model Performance? Christoph Koller Goran Kauermann Xiao Xiang Zhu UQCV 24 6 0 30 May 2022
Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image Lucy Nwosu Xiangfang Li Lijun Qian Seungchan Kim Xishuang Dong 40 3 0 27 May 2022
Evidential Temporal-aware Graph-based Social Event Detection via Dempster-Shafer Theory Jiaqian Ren Lei Jiang Hao Peng Zhiwei Liu Jia Wu Philip S. Yu 24 9 0 24 May 2022
On the Calibration of Probabilistic Classifier Sets Thomas Mortier Viktor Bengs Eyke Hüllermeier Stijn Luca Willem Waegeman UQCV 35 7 0 20 May 2022
The Unreasonable Effectiveness of Deep Evidential Regression N. Meinert J. Gawlikowski Alexander Lavin UQCV EDL 177 35 0 20 May 2022
Uncertainty-aware Personal Assistant for Making Personalized Privacy Decisions Gonul Ayci Murat Sensoy Arzucan Özgür P. Yolum 25 13 0 13 May 2022
A Survey on Uncertainty Toolkits for Deep Learning Maximilian Pintz Joachim Sicking Maximilian Poretschkin Maram Akila ELM 33 6 0 02 May 2022
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness J. Liu Shreyas Padhy Jie Jessie Ren Zi Lin Yeming Wen Ghassen Jerfel Zachary Nado Jasper Snoek Dustin Tran Balaji Lakshminarayanan UQCV BDL 26 48 0 01 May 2022
Trusted Multi-View Classification with Dynamic Evidential Fusion Zongbo Han Changqing Zhang Huazhu Fu Qiufeng Wang EDL 31 219 0 25 Apr 2022
Learning by Erasing: Conditional Entropy based Transferable Out-Of-Distribution Detection Meng Xing Zhiyong Feng Yong Su Changjae Oh OODD 21 3 0 23 Apr 2022
Discovering and forecasting extreme events via active learning in neural operators Ethan Pickering Stephen Guth George Karniadakis T. Sapsis AI4CE 19 57 0 05 Apr 2022
Autoencoder Attractors for Uncertainty Estimation S. Cruz B. Taetz Thomas Stifter D. Stricker UQCV 36 9 0 01 Apr 2022
Expanding Low-Density Latent Regions for Open-Set Object Detection Jiaming Han Yuqiang Ren Jian Ding Xingjia Pan Ke Yan Guisong Xia ObjD 40 59 0 28 Mar 2022