Prior and Posterior Networks: A Survey on Evidential Deep Learning
Methods For Uncertainty Estimation

Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty Estimation

6 October 2021

Christian Hardmeier

Papers citing "Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty Estimation"

18 / 18 papers shown

Title
vMF-Contact: Uncertainty-aware Evidential Learning for Probabilistic Contact-grasp in Noisy Clutter Yitian Shi Edgar Welte Maximilian Gilles Rania Rayyes 21 3 0 06 Nov 2024
Second-Order Uncertainty Quantification: Variance-Based Measures Yusuf Sale Paul Hofman Lisa Wimmer Eyke Hüllermeier Thomas Nagler PER UQCV UD 24 8 0 30 Dec 2023
Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts Jiayi Chen Benteng Ma Hengfei Cui Yong-quan Xia OOD FedML 25 12 0 05 Dec 2023
Improvements on Uncertainty Quantification for Node Classification via Distance-Based Regularization Russell Hart Linlin Yu Yifei Lou Feng Chen UQCV 11 4 0 10 Nov 2023
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity Dennis Ulmer J. Frellsen Christian Hardmeier 174 22 0 20 Oct 2022
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation Mehmet Özgür Türkoglu Alexander Becker H. Gündüz Mina Rezaei Bernd Bischl Rodrigo Caye Daudt Stefano Dáronco Jan Dirk Wegner Konrad Schindler FedML UQCV 24 25 0 31 May 2022
Linear Connectivity Reveals Generalization Strategies Jeevesh Juneja Rachit Bansal Kyunghyun Cho João Sedoc Naomi Saphra 232 45 0 24 May 2022
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 21 11 0 06 Oct 2021
Efficient and Robust LiDAR-Based End-to-End Navigation Zhijian Liu Alexander Amini Sibo Zhu S. Karaman Song Han Daniela Rus 154 46 0 20 May 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 195 80 0 16 Feb 2021
Hierarchical VAEs Know What They Don't Know Jakob Drachmann Havtorn J. Frellsen Søren Hauberg Lars Maaløe DRL 28 71 0 16 Feb 2021
Uncertainty Aware Semi-Supervised Learning on Graph Data Xujiang Zhao Feng Chen Shu Hu Jin-Hee Cho UQCV EDL BDL 102 100 0 24 Oct 2020
Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI Alon Jacovi Ana Marasović Tim Miller Yoav Goldberg 241 417 0 15 Oct 2020
Calibration of Pre-trained Transformers Shrey Desai Greg Durrett UQLM 231 288 0 17 Mar 2020
Fast Predictive Uncertainty for Classification with Bayesian Deep Networks Marius Hobbhahn Agustinus Kristiadi Philipp Hennig BDL UQCV 54 30 0 02 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 247 5,813 0 08 Jul 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015