Evidential Deep Learning to Quantify Classification Uncertainty

5 June 2018

Papers citing "Evidential Deep Learning to Quantify Classification Uncertainty"

50 / 487 papers shown

Title
Provably Robust Detection of Out-of-distribution Data (almost) for free Alexander Meinke Julian Bitterwolf Matthias Hein OODD 25 22 0 08 Jun 2021
Can a single neuron learn predictive uncertainty? Edgardo Solano-Carrillo UQCV 21 1 0 07 Jun 2021
Evidential Turing Processes M. Kandemir Abdullah Akgul Manuel Haussmann Gözde B. Ünal EDL UQCV BDL 28 9 0 02 Jun 2021
Classification and Uncertainty Quantification of Corrupted Data using Semi-Supervised Autoencoders Philipp Joppich S. Dorn Oliver De Candido Wolfgang Utschick Jakob Knollmuller 20 1 0 27 May 2021
Efficient and Robust LiDAR-Based End-to-End Navigation Zhijian Liu Alexander Amini Sibo Zhu S. Karaman Song Han Daniela Rus 172 46 0 20 May 2021
APPL: Adaptive Planner Parameter Learning Xuesu Xiao Zizhao Wang Zifan Xu Bo Liu Garrett A. Warnell Gauraang Dhamankar Anirudh Nair Peter Stone 21 50 0 17 May 2021
Probabilistic Rainfall Estimation from Automotive Lidar Robin Karlsson D. Wong Kazunari Kawabata S. Thompson N. Sakai 8 12 0 23 Apr 2021
Uncertainty Surrogates for Deep Learning R. Achanta Natasa Tagasovska OOD UQCV 19 0 0 16 Apr 2021
Multivariate Deep Evidential Regression N. Meinert Alexander Lavin BDL PER EDL UQCV 17 21 0 13 Apr 2021
Robust Vision-Based Cheat Detection in Competitive Gaming Aditya Jonnalagadda I. Frosio Seth Schneider M. McGuire Joohwan Kim AAML 24 15 0 18 Mar 2021
Medical Imaging and Machine Learning R. Shad John P. Cunningham Euan A. Ashley C. Langlotz W. Hiesinger 13 40 0 02 Mar 2021
A Simulation-based End-to-End Learning Framework for Evidential Occupancy Grid Mapping Raphael van Kempen Bastian Lampe Timo Woopen L. Eckstein 8 9 0 25 Feb 2021
Handling Epistemic and Aleatory Uncertainties in Probabilistic Circuits Federico Cerutti Lance M. Kaplan Angelika Kimmig Murat Sensoy TPM 14 14 0 22 Feb 2021
DEUP: Direct Epistemic Uncertainty Prediction Salem Lahlou Moksh Jain Hadi Nekoei V. Butoi Paul Bertin Jarrid Rector-Brooks Maksym Korablyov Yoshua Bengio PER UQLM UQCV UD 202 81 0 16 Feb 2021
Trusted Multi-View Classification Zongbo Han Changqing Zhang H. Fu Joey Tianyi Zhou EDL 21 164 0 03 Feb 2021
Increasing the Confidence of Deep Neural Networks by Coverage Analysis Giulio Rossolini Alessandro Biondi Giorgio Buttazzo AAML 18 13 0 28 Jan 2021
Expectation-Maximization Regularized Deep Learning for Weakly Supervised Tumor Segmentation for Glioblastoma Chao Li Wenjian Huang Xi Chen Yiran Wei S. Price Carola-Bibiane Schönlieb MedIm 13 1 0 21 Jan 2021
Multidimensional Uncertainty-Aware Evidential Neural Networks Yibo Hu Yuzhe Ou Xujiang Zhao Jin-Hee Cho Feng Chen EDL UQCV AAML 25 23 0 26 Dec 2020
Post-hoc Uncertainty Calibration for Domain Drift Scenarios Christian Tomani Sebastian Gruber Muhammed Ebrar Erdem Daniel Cremers Florian Buettner UQCV 14 65 0 20 Dec 2020
Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration Christian Tomani Florian Buettner UQCV AAML OOD 14 39 0 20 Dec 2020
Uncertainty Estimation in Deep Neural Networks for Point Cloud Segmentation in Factory Planning Christina Petschnigg Juergen Pilz UQCV 3DPC 8 7 0 13 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
Semi-supervised Active Learning for Instance Segmentation via Scoring Predictions Jun Wang Shaoguo Wen Kaixing Chen Jianghua Yu Xiaoxia Zhou Peng Gao Changsheng Li Guotong Xie ISeg 11 18 0 09 Dec 2020
Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification Gianni Franchi Andrei Bursuc Emanuel Aldea Séverine Dubuisson Isabelle Bloch BDL UQCV 16 22 0 04 Dec 2020
Extended T: Learning with Mixed Closed-set and Open-set Noisy Labels Xiaobo Xia Tongliang Liu Bo Han Nannan Wang Jiankang Deng Jiatong Li Yinian Mao NoLa 11 11 0 02 Dec 2020
Learning a metacognition for object perception Marlene D. Berke M. Belledonne J. Jara-Ettinger OCL LRM 13 1 0 30 Nov 2020
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving Di Feng Ali Harakeh Steven Waslander Klaus C. J. Dietmayer AAML UQCV EDL 24 222 0 20 Nov 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 39 1,877 0 12 Nov 2020
EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels Ragav Sachdeva F. Cordeiro Vasileios Belagiannis Ian Reid G. Carneiro NoLa 8 40 0 11 Nov 2020
APPLI: Adaptive Planner Parameter Learning From Interventions Zizhao Wang Xuesu Xiao Bo Liu Garrett A. Warnell Peter Stone 16 50 0 01 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
Uncertainty Aware Semi-Supervised Learning on Graph Data Xujiang Zhao Feng Chen Shu Hu Jin-Hee Cho UQCV EDL BDL 112 130 0 24 Oct 2020
Towards human-agent knowledge fusion (HAKF) in support of distributed coalition teams Dave Braines Federico Cerutti Marc Roig Vilamala Mani B. Srivastava Alun D. Preece G. Pearson 15 4 0 23 Oct 2020
Towards Maximizing the Representation Gap between In-Domain & Out-of-Distribution Examples Jay Nandy W. Hsu M. Lee UQCV 13 60 0 20 Oct 2020
Failure Prediction by Confidence Estimation of Uncertainty-Aware Dirichlet Networks Theodoros Tsiligkaridis UQCV 22 7 0 19 Oct 2020
Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders Masha Itkina B. Ivanovic Ransalu Senanayake Mykel J. Kochenderfer Marco Pavone 22 18 0 19 Oct 2020
Multi-Loss Sub-Ensembles for Accurate Classification with Uncertainty Estimation Omer Achrack Raizy Kellerman Ouriel Barzilay UQCV BDL 8 9 0 05 Oct 2020
Uncertainty Sets for Image Classifiers using Conformal Prediction Anastasios Nikolas Angelopoulos Stephen Bates Jitendra Malik Michael I. Jordan UQCV 17 315 0 29 Sep 2020
Using Subjective Logic to Estimate Uncertainty in Multi-Armed Bandit Problems Fabio Massimo Zennaro A. Jøsang 9 4 0 17 Aug 2020
Maximizing BCI Human Feedback using Active Learning Zizhao Wang Junyao Shi Iretiayo Akinola Peter K. Allen 22 8 0 11 Aug 2020
$Curriculum learning for improved femur fracture classification: scheduling data with prior knowledge and uncertainty$ Curriculum learning for improved femur fracture classification: scheduling data with prior knowledge and uncertainty Amelia Jiménez-Sánchez Diana Mateus S. Kirchhoff C. Kirchhoff P. Biberthaler Nassir Navab M. A. G. Ballester Gemma Piella 14 18 0 31 Jul 2020
DEAL: Deep Evidential Active Learning for Image Classification Patrick Hemmer Niklas Kühl Jakob Schöffer 24 37 0 22 Jul 2020
Unsupervised Domain Adaptation in the Absence of Source Data Roshni Sahoo Divya Shanmugam John Guttag OOD 11 18 0 20 Jul 2020
Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment Florin-Cristian Ghesu Bogdan Georgescu Awais Mansoor Y. Yoo Eli Gibson ... Ramandeep Singh S. Digumarthy M. Kalra Sasa Grbic D. Comaniciu UQCV EDL 23 55 0 08 Jul 2020
Diagnostic Uncertainty Calibration: Towards Reliable Machine Predictions in Medical Domain Takahiro Mimori Keiko Sasada H. Matsui Issei Sato UQCV 17 6 0 03 Jul 2020
Regression Prior Networks A. Malinin Sergey Chervontsev Ivan Provilkov Mark J. F. Gales BDL UQCV 24 36 0 20 Jun 2020
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness Jeremiah Zhe Liu Zi Lin Shreyas Padhy Dustin Tran Tania Bedrax-Weiss Balaji Lakshminarayanan UQCV BDL 14 436 0 17 Jun 2020
Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes Manuel Haussmann S. Gerwinn Andreas Look Barbara Rakitsch M. Kandemir 9 16 0 17 Jun 2020
Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts Bertrand Charpentier Daniel Zügner Stephan Günnemann UQCV UD EDL BDL 17 169 0 16 Jun 2020
Mean-Field Approximation to Gaussian-Softmax Integral with Application to Uncertainty Estimation Zhiyun Lu Eugene Ie Fei Sha UQCV BDL 12 14 0 13 Jun 2020