Evidential Deep Learning to Quantify Classification Uncertainty

5 June 2018

Papers citing "Evidential Deep Learning to Quantify Classification Uncertainty"

50 / 487 papers shown

Title
Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges S. Thais P. Calafiura G. Chachamis G. Dezoort Javier Mauricio Duarte S. Ganguly Michael Kagan D. Murnane Mark S. Neubauer K. Terao PINN AI4CE 28 30 0 23 Mar 2022
Hyperbolic Uncertainty Aware Semantic Segmentation Bike Chen Wei Peng Xiaofeng Cao Juha Roning UQCV 16 15 0 16 Mar 2022
Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation Viktor Bengs Eyke Hüllermeier Willem Waegeman EDL UQCV UD 21 36 0 11 Mar 2022
OpenTAL: Towards Open Set Temporal Action Localization Wentao Bao Qi Yu Yu Kong EDL 30 26 0 10 Mar 2022
Fast Road Segmentation via Uncertainty-aware Symmetric Network Yicong Chang Feng Xue Fei Sheng Wenteng Liang Anlong Ming EDL UQCV 28 36 0 09 Mar 2022
Deep Dirichlet uncertainty for unsupervised out-of-distribution detection of eye fundus photographs in glaucoma screening Teresa Araújo Guilherme Aresta Hrvoje Bogunović UQCV OOD 9 2 0 25 Feb 2022
Reducing Overconfidence Predictions for Autonomous Driving Perception Gledson Melotti C. Premebida Jordan J. Bird Diego Resende Faria Nuno Gonccalves 8 7 0 16 Feb 2022
Nonparametric Uncertainty Quantification for Single Deterministic Neural Network Nikita Kotelevskii A. Artemenkov Kirill Fedyanin Fedor Noskov Alexander Fishkov Artem Shelmanov Artem Vazhentsev Aleksandr Petiushko Maxim Panov UQCV BDL 53 25 0 07 Feb 2022
SEED: Sound Event Early Detection via Evidential Uncertainty Xujiang Zhao Xuchao Zhang Wei Cheng Wenchao Yu Yuncong Chen Haifeng Chen F. Chen EDL 27 11 0 05 Feb 2022
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers Deebul Nair Nico Hochgeschwender Miguel A. Olivares-Mendez OOD 22 7 0 03 Feb 2022
UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs Philipp Oberdiek G. Fink Matthias Rottmann OODD 32 14 0 31 Jan 2022
SoftDropConnect (SDC) -- Effective and Efficient Quantification of the Network Uncertainty in Deep MR Image Analysis Qing Lyu C. Whitlow Ge Wang UQCV BDL 8 1 0 20 Jan 2022
Evaluation of Neural Networks Defenses and Attacks using NDCG and Reciprocal Rank Metrics Haya Brama L. Dery Tal Grinshpoun AAML 11 7 0 10 Jan 2022
Deep Learning meets Liveness Detection: Recent Advancements and Challenges Arian Sabaghi Marzieh Oghbaie Kooshan Hashemifard Mohammad Akbari AAML 17 6 0 29 Dec 2021
Improving evidential deep learning via multi-task learning Dongpin Oh Bonggun Shin EDL UQCV 17 24 0 17 Dec 2021
Automatic quality control framework for more reliable integration of machine learning-based image segmentation into medical workflows Elena Williams Sebastian Niehaus J. Reinelt A. Merola P. Mihai ... Evelyn Medawar Daniel Lichterfeld Ingo Roeder N. Scherf Maria del C. Valdés Hernández 24 3 0 06 Dec 2021
Towards Interactive Reinforcement Learning with Intrinsic Feedback Ben Poole Minwoo Lee OffRL 19 2 0 02 Dec 2021
A Unified Benchmark for the Unknown Detection Capability of Deep Neural Networks Jihyo Kim Jiin Koo Sangheum Hwang UQCV 8 19 0 01 Dec 2021
FROB: Few-shot ROBust Model for Classification and Out-of-Distribution Detection Nikolaos Dionelis Mehrdad Yaghoobi Sotirios A. Tsaftaris OODD 11 4 0 30 Nov 2021
Trustworthy Long-Tailed Classification Bolian Li Zongbo Han Haining Li H. Fu Changqing Zhang EDL 25 71 0 17 Nov 2021
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions Huan Ma Zongbo Han Changqing Zhang H. Fu Joey Tianyi Zhou Q. Hu EDL UQCV 68 42 0 11 Nov 2021
Gated Linear Model induced U-net for surrogate modeling and uncertainty quantification Sai Krishna Mendu S. Chakraborty BDL AI4CE 25 1 0 08 Nov 2021
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification Maximilian Stadler Bertrand Charpentier Simon Geisler Daniel Zügner Stephan Günnemann UQCV BDL 28 80 0 26 Oct 2021
Addressing out-of-distribution label noise in webly-labelled data Paul Albert Diego Ortego Eric Arazo Noel E. O'Connor Kevin McGuinness NoLa 16 16 0 26 Oct 2021
Robust Monocular Localization in Sparse HD Maps Leveraging Multi-Task Uncertainty Estimation Kürsat Petek Kshitij Sirohi Daniel Buscher Wolfram Burgard UQCV 46 24 0 20 Oct 2021
Utilizing Active Machine Learning for Quality Assurance: A Case Study of Virtual Car Renderings in the Automotive Industry Patrick Hemmer Niklas Kühl Jakob Schöffer 15 4 0 18 Oct 2021
Identifying Incorrect Classifications with Balanced Uncertainty Bolian Li Zige Zheng Changqing Zhang UQCV 15 2 0 15 Oct 2021
MetaCOG: A Hierarchical Probabilistic Model for Learning Meta-Cognitive Visual Representations Marlene D. Berke Zhangir Azerbayev M. Belledonne Zenna Tavares J. Jara-Ettinger 16 1 0 06 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 34 48 0 06 Oct 2021
Deep Classifiers with Label Noise Modeling and Distance Awareness Vincent Fortuin Mark Collier F. Wenzel J. Allingham J. Liu Dustin Tran Balaji Lakshminarayanan Jesse Berent Rodolphe Jenatton E. Kokiopoulou UQCV 34 11 0 06 Oct 2021
CertainNet: Sampling-free Uncertainty Estimation for Object Detection Stefano Gasperini Johannes Haug M. N. Mahani Alvaro Marcos-Ramiro Nassir Navab Benjamin Busam F. Tombari UQCV 13 24 0 04 Oct 2021
Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes Jongseo Lee Jianxiang Feng Matthias Humt M. Müller Rudolph Triebel UQCV 46 21 0 20 Sep 2021
Reliable Neural Networks for Regression Uncertainty Estimation Tony Tohme Kevin Vanslette K. Youcef-Toumi UQCV BDL 16 15 0 16 Sep 2021
Uncertainty-Aware Machine Translation Evaluation T. Glushkova Chrysoula Zerva Ricardo Rei André F.T. Martins UQLM 17 42 0 13 Sep 2021
Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation Liyan Xu Xuchao Zhang Xujiang Zhao Haifeng Chen F. Chen Jinho D. Choi 18 14 0 01 Sep 2021
Sparse Communication via Mixed Distributions António Farinhas Wilker Aziz Vlad Niculae André F. T. Martins 23 3 0 05 Aug 2021
Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation Victor Besnier Andrei Bursuc David Picard Alexandre Briot UQCV 19 48 0 03 Aug 2021
Robust Semantic Segmentation with Superpixel-Mix Gianni Franchi Nacim Belkhir Mai Lan Ha Yufei Hu Andrei Bursuc V. Blanz Angela Yao UQCV 28 22 0 02 Aug 2021
Evidential Deep Learning for Open Set Action Recognition Wentao Bao Qi Yu Yu Kong CML EDL 6 135 0 21 Jul 2021
Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement Learning Peide Cai Hengli Wang Huaiyang Huang Yuxuan Liu Ming-Yu Liu 15 64 0 18 Jul 2021
Uncertainty-Aware Reliable Text Classification Yibo Hu Latifur Khan EDL UQCV 31 33 0 15 Jul 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 32 1,109 0 07 Jul 2021
Logit-based Uncertainty Measure in Classification Huiyue Wu Diego Klabjan EDL BDL UQCV 18 6 0 06 Jul 2021
Detecting Concept Drift With Neural Network Model Uncertainty Lucas Baier Tim Schlör Jakob Schöffer Niklas Kühl 13 27 0 05 Jul 2021
Leveraging Graph and Deep Learning Uncertainties to Detect Anomalous Trajectories S. Singh Jaya Shradha Fowdur J. Gawlikowski Daniel Medina 19 1 0 04 Jul 2021
Scene Uncertainty and the Wellington Posterior of Deterministic Image Classifiers Stephanie Tsuei Aditya Golatkar Stefano Soatto UQCV 18 0 0 25 Jun 2021
FF-NSL: Feed-Forward Neural-Symbolic Learner Daniel Cunnington Mark Law A. Russo Jorge Lobo NAI 34 15 0 24 Jun 2021
Graceful Degradation and Related Fields J. Dymond 31 4 0 21 Jun 2021
Trust It or Not: Confidence-Guided Automatic Radiology Report Generation Yixin Wang Zihao Lin Zhe Xu Haoyu Dong Jiang Tian Jie Luo Zhongchao Shi Yang Zhang Jianping Fan Zhiqiang He UQCV MedIm 36 12 0 21 Jun 2021
Being a Bit Frequentist Improves Bayesian Neural Networks Agustinus Kristiadi Matthias Hein Philipp Hennig BDL UQCV 20 15 0 18 Jun 2021