Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty

17 April 2024

Papers citing "Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty"

20 / 20 papers shown

Title
Improvements on Uncertainty Quantification for Node Classification via Distance-Based Regularization Russell Hart Linlin Yu Yifei Lou Feng Chen UQCV 47 4 0 10 Nov 2023
Long-Tailed Partial Label Learning via Dynamic Rebalancing Feng Hong Jiangchao Yao Zhihan Zhou Ya Zhang Yanfeng Wang 49 27 0 10 Feb 2023
Eliciting and Learning with Soft Labels from Every Annotator Katherine M. Collins Umang Bhatt Adrian Weller 46 45 0 02 Jul 2022
Decompositional Generation Process for Instance-Dependent Partial Label Learning Congyu Qiao Ning Xu Xin Geng 153 82 0 08 Apr 2022
Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation Viktor Bengs Eyke Hüllermeier Willem Waegeman EDL UQCV UD 44 42 0 11 Mar 2022
An evidential classifier based on Dempster-Shafer theory and deep learning Zheng Tong Philippe Xu Thierry Denoeux EDL 59 99 0 25 Mar 2021
Uncertainty Aware Semi-Supervised Learning on Graph Data Xujiang Zhao Feng Chen Shu Hu Jin-Hee Cho UQCV EDL BDL 179 138 0 24 Oct 2020
Uncertainty Sets for Image Classifiers using Conformal Prediction Anastasios Nikolas Angelopoulos Stephen Bates Jitendra Malik Michael I. Jordan UQCV 197 333 0 29 Sep 2020
BREEDS: Benchmarks for Subpopulation Shift Shibani Santurkar Dimitris Tsipras Aleksander Madry OOD 59 172 0 11 Aug 2020
Provably Consistent Partial-Label Learning Lei Feng Jiaqi Lv Bo Han Miao Xu Gang Niu Xin Geng Bo An Masashi Sugiyama 59 148 0 17 Jul 2020
Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts Bertrand Charpentier Daniel Zügner Stephan Günnemann UQCV UD EDL BDL 65 180 0 16 Jun 2020
Uncertainty-Aware Deep Classifiers using Generative Models Murat Sensoy Lance M. Kaplan Federico Cerutti Maryam Saleki UQCV OOD 116 75 0 07 Jun 2020
Classification with Valid and Adaptive Coverage Yaniv Romano Matteo Sesia Emmanuel J. Candès 378 323 0 03 Jun 2020
Uncertainty on Asynchronous Time Event Prediction Marin Bilos Bertrand Charpentier Stephan Günnemann AI4TS 43 44 0 13 Nov 2019
Human uncertainty makes classification more robust Joshua C. Peterson Ruairidh M. Battleday Thomas Griffiths Olga Russakovsky OOD 57 302 0 19 Aug 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 133 18,106 0 28 May 2019
Evidential Deep Learning to Quantify Classification Uncertainty Murat Sensoy Lance M. Kaplan M. Kandemir OOD UQCV EDL BDL 177 991 0 05 Jun 2018
Predictive Uncertainty Estimation via Prior Networks A. Malinin Mark Gales UD BDL EDL UQCV PER 183 914 0 28 Feb 2018
PsyPhy: A Psychophysics Driven Evaluation Framework for Visual Recognition Brandon RichardWebster Samuel E. Anthony Walter J. Scheirer 29 72 0 19 Nov 2016
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,330 0 04 Sep 2014