DropConnect Is Effective in Modeling Uncertainty of Bayesian Deep Networks

7 June 2019

Papers citing "DropConnect Is Effective in Modeling Uncertainty of Bayesian Deep Networks"

31 / 31 papers shown

Title
Reducing Aleatoric and Epistemic Uncertainty through Multi-modal Data Acquisition Arthur Hoarau Benjamin Quost Sébastien Destercke Willem Waegeman UQCV UD PER 72 0 0 30 Jan 2025
Enhancing Uncertainty Estimation in Semantic Segmentation via Monte-Carlo Frequency Dropout Tal Zeevi Lawrence H. Staib J. Onofrey OOD UQCV 53 0 0 20 Jan 2025
Uncertainty-aware Human Mobility Modeling and Anomaly Detection Haomin Wen Shurui Cao Z. Rasheed Khurram Hassan-Shafique L. Akoglu 61 0 0 02 Oct 2024
Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object Detection A. Benfenati P. Causin Hang Yu Zhedong Zheng 3DPC 46 2 0 01 Aug 2024
Data-Driven Prediction and Uncertainty Quantification of PWR Crud-Induced Power Shift Using Convolutional Neural Networks Aidan Furlong Farah Alsafadi S. Palmtag Andrew Godfrey Xu Wu 57 1 0 27 Jun 2024
Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification Kaizheng Wang Fabio Cuzzolin Keivan K1 Shariatmadar David Moens Hans Hallez UQCV BDL 85 6 0 23 May 2024
Uncertainty Quantification for Gradient-based Explanations in Neural Networks Mihir Mulye Matias Valdenegro-Toro UQCV FAtt 33 0 0 25 Mar 2024
Second-Order Uncertainty Quantification: Variance-Based Measures Yusuf Sale Paul Hofman Lisa Wimmer Eyke Hüllermeier Thomas Nagler PER UQCV UD 31 8 0 30 Dec 2023
PULASki: Learning inter-rater variability using statistical distances to improve probabilistic segmentation S. Chatterjee Franziska Gaidzik Alessandro Sciarra Hendrik Mattern G. Janiga Oliver Speck Andreas Nürnberger S. Pathiraja 49 0 0 25 Dec 2023
Uncertainty Quantification for Image-based Traffic Prediction across Cities Alexander Timans Nina Wiedemann Nishant Kumar Ye Hong Martin Raubal 18 1 0 11 Aug 2023
ACTIVE: A Deep Model for Sperm and Impurity Detection in Microscopic Videos Ao Chen Jinghua Zhang M. Rahaman Hongzan Sun M.D. T. Zeng M. Grzegorzek Fenglei Fan Chen Li 21 1 0 15 Jan 2023
Bayesian posterior approximation with stochastic ensembles Oleksandr Balabanov Bernhard Mehlig H. Linander BDL UQCV 27 5 0 15 Dec 2022
Disentangled Uncertainty and Out of Distribution Detection in Medical Generative Models Kumud Lakara Matias Valdenegro-Toro UQCV OOD 30 1 0 11 Nov 2022
Comparison of Uncertainty Quantification with Deep Learning in Time Series Regression Levente Foldesi Matias Valdenegro-Toro UQCV 25 3 0 11 Nov 2022
A view on model misspecification in uncertainty quantification Yuko Kato David Tax Marco Loog 28 3 0 30 Oct 2022
Quantifying Aleatoric and Epistemic Uncertainty in Machine Learning: Are Conditional Entropy and Mutual Information Appropriate Measures? Lisa Wimmer Yusuf Sale Paul Hofman Bern Bischl Eyke Hüllermeier PER UD 36 64 0 07 Sep 2022
Decorrelative Network Architecture for Robust Electrocardiogram Classification Christopher Wiedeman Ge Wang OOD 13 2 0 19 Jul 2022
A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement Matias Valdenegro-Toro Daniel Saromo UD PER BDL UQCV 22 76 0 20 Apr 2022
Benchmark for Out-of-Distribution Detection in Deep Reinforcement Learning Aaqib Parvez Mohammed Matias Valdenegro-Toro OOD OffRL 16 10 0 05 Dec 2021
Exploring the Limits of Epistemic Uncertainty Quantification in Low-Shot Settings Matias Valdenegro-Toro UQCV 23 2 0 18 Nov 2021
A Quantitative Comparison of Epistemic Uncertainty Maps Applied to Multi-Class Segmentation Robin Camarasa D. Bos J. Hendrikse P. Nederkoorn D. Epidemiology D. Neurology Department of Computer Science UQCV 24 12 0 22 Sep 2021
Adversarial Attack for Uncertainty Estimation: Identifying Critical Regions in Neural Networks Ismail Alarab S. Prakoonwit AAML 27 14 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 53 1,111 0 07 Jul 2021
GasHis-Transformer: A Multi-scale Visual Transformer Approach for Gastric Histopathological Image Detection Hao Chen Chen Li Ge Wang Xirong Li M. Rahaman ... Yixin Li Wanli Liu Changhao Sun Shiliang Ai M. Grzegorzek ViT MedIm 34 182 0 29 Apr 2021
An Artificial Intelligence Framework for Bidding Optimization with Uncertainty in Multiple Frequency Reserve Markets Thimal Kempitiya Seppo A. Sierla Daswin De Silva Matti Yli-Ojanpera D. Alahakoon V. Vyatkin 29 44 0 05 Apr 2021
A comprehensive study on the prediction reliability of graph neural networks for virtual screening Soojung Yang K. Lee Seongok Ryu 19 7 0 17 Mar 2020
Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods Eyke Hüllermeier Willem Waegeman PER UD 81 1,353 0 21 Oct 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation Adam Paszke Abhishek Chaurasia Sangpil Kim Eugenio Culurciello SSeg 235 2,056 0 07 Jun 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