Uncertainty-Aware Deep Classifiers using Generative Models

7 June 2020

Papers citing "Uncertainty-Aware Deep Classifiers using Generative Models"

44 / 44 papers shown

Title
Cooperative Bayesian and variance networks disentangle aleatoric and epistemic uncertainties Jiaxiang Yi Miguel A. Bessa UD PER UQCV 46 0 0 05 May 2025
Revisiting Essential and Nonessential Settings of Evidential Deep Learning Mengyuan Chen Junyu Gao Changsheng Xu EDL 54 1 0 01 Oct 2024
Uncertainty Estimation by Density Aware Evidential Deep Learning Taeseong Yoon Heeyoung Kim EDL UQCV 41 1 0 13 Sep 2024
Towards certifiable AI in aviation: landscape, challenges, and opportunities Hymalai Bello Daniel Geißler L. Ray Stefan Muller-Divéky Peter Muller Shannon Kittrell Mengxi Liu Bo Zhou Paul Lukowicz 27 1 0 13 Sep 2024
A Comprehensive Survey on Evidential Deep Learning and Its Applications Junyu Gao Mengyuan Chen Liangyu Xiang Changsheng Xu EDL BDL UQCV 44 5 0 07 Sep 2024
Hierarchical Visual Categories Modeling: A Joint Representation Learning and Density Estimation Framework for Out-of-Distribution Detection Jinglun Li Xinyu Zhou Pinxue Guo Yixuan Sun Yiwen Huang Weifeng Ge Wenqiang Zhang 41 2 0 28 Aug 2024
An Uncertainty-aware Deep Learning Framework-based Robust Design Optimization of Metamaterial Units Zihan Wang Anindya Bhaduri Hongyi Xu Liping Wang 34 1 0 19 Jul 2024
Are you sure? Analysing Uncertainty Quantification Approaches for Real-world Speech Emotion Recognition Oliver Schrufer M. Milling Felix Burkhardt F. Eyben Björn Schuller 29 3 0 01 Jul 2024
Neuro-Symbolic Fusion of Wi-Fi Sensing Data for Passive Radar with Inter-Modal Knowledge Transfer Marco Cominelli Francesco Gringoli Lance M. Kaplan Mani B. Srivastava Trevor Bihl Erik P. Blasch Nandini Iyer Federico Cerutti 23 1 0 01 Jul 2024
Accurate Passive Radar via an Uncertainty-Aware Fusion of Wi-Fi Sensing Data Marco Cominelli Francesco Gringoli Lance M. Kaplan Mani B. Srivastava Federico Cerutti 28 6 0 01 Jul 2024
Improving Deep Learning Model Calibration for Cardiac Applications using Deterministic Uncertainty Networks and Uncertainty-aware Training Tareen Dawood B. Ruijsink Reza Razavi Andrew P. King Esther Puyol-Antón UQCV 45 1 0 10 May 2024
Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty Changbin Li Kangshuo Li Yuzhe Ou Lance M. Kaplan A. Jøsang Jin-Hee Cho Dong Hyun. Jeong Feng Chen UQCV BDL EDL 38 5 0 17 Apr 2024
Out-of-Distribution Data: An Acquaintance of Adversarial Examples -- A Survey Naveen Karunanayake Ravin Gunawardena Suranga Seneviratne Sanjay Chawla OOD 51 5 0 08 Apr 2024
Conditional Pseudo-Reversible Normalizing Flow for Surrogate Modeling in Quantifying Uncertainty Propagation Minglei Yang Pengjun Wang Ming Fan Dan Lu Yanzhao Cao Guannan Zhang AI4CE 27 1 0 31 Mar 2024
Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage? Maohao Shen Jeonghun Ryu Soumya Ghosh Yuheng Bu P. Sattigeri Subhro Das Greg Wornell EDL BDL UQCV 36 2 0 09 Feb 2024
Knowledge from Uncertainty in Evidential Deep Learning Cai Davies Marc Roig Vilamala Alun D. Preece Federico Cerutti Lance M. Kaplan Supriyo Chakraborty EDL 16 2 0 19 Oct 2023
Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance Lei Fan Bo Liu Haoxiang Li Ying Wu Gang Hua 31 4 0 14 Sep 2023
Uncertainty Aware Training to Improve Deep Learning Model Calibration for Classification of Cardiac MR Images Tareen Dawood Chia-Ju Chen B. Sidhu B. Ruijsink J. Gould ... Vishal S. Mehta C. Rinaldi Esther Puyol-Antón Reza Razavi A. King OOD 27 10 0 29 Aug 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 37 9 0 27 Jun 2023
Uncertainty Estimation for Molecules: Desiderata and Methods Tom Wollschlager Nicholas Gao Bertrand Charpentier Mohamed Amine Ketata Stephan Günnemann 23 9 0 20 Jun 2023
Synthetic data, real errors: how (not) to publish and use synthetic data B. V. Breugel Zhaozhi Qian M. Schaar SyDa 64 28 0 16 May 2023
MSS-PAE: Saving Autoencoder-based Outlier Detection from Unexpected Reconstruction Xu Tan Jiawei Yang Junqi Chen S. Rahardja S. Rahardja UQCV 25 1 0 03 Apr 2023
Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction Masha Itkina Mykel J. Kochenderfer EDL UQCV 26 26 0 16 Nov 2022
Semantic Novelty Detection via Relational Reasoning Francesco Cappio Borlino S. Bucci Tatiana Tommasi 17 4 0 18 Jul 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
UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs Philipp Oberdiek G. Fink Matthias Rottmann OODD 37 14 0 31 Jan 2022
FROB: Few-shot ROBust Model for Classification and Out-of-Distribution Detection Nikolaos Dionelis Mehrdad Yaghoobi Sotirios A. Tsaftaris OODD 19 4 0 30 Nov 2021
An Uncertainty-Informed Framework for Trustworthy Fault Diagnosis in Safety-Critical Applications Taotao Zhou E. Droguett A. Mosleh F. Chan EDL 30 38 0 08 Oct 2021
Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty Estimation Dennis Ulmer Christian Hardmeier J. Frellsen BDL UQCV UD EDL PER 48 48 0 06 Oct 2021
Evidential Deep Learning for Open Set Action Recognition Wentao Bao Qi Yu Yu Kong CML EDL 19 135 0 21 Jul 2021
Uncertainty-Aware Reliable Text Classification Yibo Hu Latifur Khan EDL UQCV 33 33 0 15 Jul 2021
FF-NSL: Feed-Forward Neural-Symbolic Learner Daniel Cunnington Mark Law A. Russo Jorge Lobo NAI 39 15 0 24 Jun 2021
Graceful Degradation and Related Fields J. Dymond 31 4 0 21 Jun 2021
Evidential Turing Processes M. Kandemir Abdullah Akgul Manuel Haussmann Gözde B. Ünal EDL UQCV BDL 33 9 0 02 Jun 2021
Natural Posterior Network: Deep Bayesian Uncertainty for Exponential Family Distributions Bertrand Charpentier Oliver Borchert Daniel Zügner Simon Geisler Stephan Günnemann UQCV BDL 27 17 0 10 May 2021
Robust Data-Driven Error Compensation for a Battery Model P. Gesner F. Kirschbaum R. Jakobi B. Bäker 9 1 0 31 Dec 2020
Multidimensional Uncertainty-Aware Evidential Neural Networks Yibo Hu Yuzhe Ou Xujiang Zhao Jin-Hee Cho Feng Chen EDL UQCV AAML 30 23 0 26 Dec 2020
NSL: Hybrid Interpretable Learning From Noisy Raw Data Daniel Cunnington A. Russo Mark Law Jorge Lobo Lance M. Kaplan NAI 19 3 0 09 Dec 2020
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges Moloud Abdar Farhad Pourpanah Sadiq Hussain Dana Rezazadegan Li Liu ... Xiaochun Cao Abbas Khosravi U. Acharya V. Makarenkov S. Nahavandi BDL UQCV 51 1,879 0 12 Nov 2020
Out-of-Distribution Detection for Automotive Perception Julia Nitsch Masha Itkina Ransalu Senanayake Juan I. Nieto M. Schmidt Roland Siegwart Mykel J. Kochenderfer Cesar Cadena UQCV 12 63 0 03 Nov 2020
Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable? Anna-Kathrin Kopetzki Bertrand Charpentier Daniel Zügner Sandhya Giri Stephan Günnemann 23 45 0 28 Oct 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 197 745 0 06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015