Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning

6 June 2015

Papers citing "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"

50 / 1,180 papers shown

Title
Estimation of River Water Surface Elevation Using UAV Photogrammetry and Machine Learning Radosław Szostak Marcin Pietroñ P. Wachniew M. Zimnoch P. Ćwiąkała 22 0 0 05 Jun 2023
Quantifying Representation Reliability in Self-Supervised Learning Models Young-Jin Park Hao Wang Shervin Ardeshir Navid Azizan SSL UQCV 21 3 0 31 May 2023
Trustworthy Sensor Fusion against Inaudible Command Attacks in Advanced Driver-Assistance System Jiwei Guan Lei Pan Chen Wang Shui Yu Longxiang Gao Xi Zheng AAML 19 3 0 30 May 2023
E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition Zhen Zhang Mengting Hu Shiwan Zhao Minlie Huang Haotian Wang Lemao Liu Zhirui Zhang Zhe Liu Bingzhe Wu EDL 28 10 0 29 May 2023
Pedestrian Trajectory Forecasting Using Deep Ensembles Under Sensing Uncertainty Anshul Nayak A. Eskandarian Zachary R. Doerzaph P. Ghorai 30 4 0 26 May 2023
Vecchia Gaussian Process Ensembles on Internal Representations of Deep Neural Networks Felix Jimenez Matthias Katzfuss BDL UQCV 51 1 0 26 May 2023
Cross-lingual Transfer Can Worsen Bias in Sentiment Analysis Seraphina Goldfarb-Tarrant Bjorn Ross Adam Lopez 29 7 0 22 May 2023
Semantic Anomaly Detection with Large Language Models Amine Elhafsi Rohan Sinha Christopher Agia Edward Schmerling I. Nesnas Marco Pavone 29 64 0 18 May 2023
Uncertainty Guided Label Denoising for Document-level Distant Relation Extraction Qi Sun Kun Huang Xiaocui Yang Pengfei Hong Kun Zhang Soujanya Poria 11 8 0 18 May 2023
Integrating Uncertainty into Neural Network-based Speech Enhancement Hu Fang Dennis Becker S. Wermter Timo Gerkmann UQCV 26 2 0 15 May 2023
On the Limitations of Model Stealing with Uncertainty Quantification Models David Pape Sina Daubener Thorsten Eisenhofer Antonio Emanuele Cinà Lea Schonherr 28 3 0 09 May 2023
Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial V. Nemani Luca Biggio Xun Huan Zhen Hu Olga Fink Anh Tran Yan Wang Xiaoge Zhang Chao Hu AI4CE 25 75 0 07 May 2023
Cheap and Deterministic Inference for Deep State-Space Models of Interacting Dynamical Systems Andreas Look M. Kandemir Barbara Rakitsch Jan Peters BDL 25 6 0 02 May 2023
Object Semantics Give Us the Depth We Need: Multi-task Approach to Aerial Depth Completion Sara Hatami Gazani Fardad Dadboud M. Bolic I. Mantegh H. Najjaran 3DPC 19 0 0 25 Apr 2023
Policy Resilience to Environment Poisoning Attacks on Reinforcement Learning Hang Xu Xinghua Qu Zinovi Rabinovich 21 1 0 24 Apr 2023
Building Multimodal AI Chatbots Mingyu Lee 27 3 0 21 Apr 2023
Prediction-Oriented Bayesian Active Learning Freddie Bickford-Smith Andreas Kirsch Sebastian Farquhar Y. Gal Adam Foster Tom Rainforth 27 28 0 17 Apr 2023
Continuous time recurrent neural networks: overview and application to forecasting blood glucose in the intensive care unit O. Fitzgerald O. Perez-Concha B. Gallego-Luxan Alejandro Metke-Jimenez Lachlan Rudd Louisa R Jorm BDL OOD AI4TS 20 0 0 14 Apr 2023
Uncertainty-Aware Null Space Networks for Data-Consistent Image Reconstruction Christoph Angermann Simon Göppel Markus Haltmeier 28 2 0 14 Apr 2023
Communicating Uncertainty in Machine Learning Explanations: A Visualization Analytics Approach for Predictive Process Monitoring Nijat Mehdiyev Maxim Majlatow Peter Fettke 25 2 0 12 Apr 2023
UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series Patrick Ebel Vivien Sainte Fare Garnot M. Schmitt Jan Dirk Wegner Xiao Xiang Zhu 18 31 0 11 Apr 2023
Approaching Test Time Augmentation in the Context of Uncertainty Calibration for Deep Neural Networks Pedro Conde T. Barros Rui L. Lopes C. Premebida U. J. Nunes UQCV 17 7 0 11 Apr 2023
Uncertainty-Aware Natural Language Inference with Stochastic Weight Averaging Aarne Talman H. Çelikkanat Sami Virpioja Markus Heinonen Jörg Tiedemann BDL UQCV 24 7 0 10 Apr 2023
UATTA-EB: Uncertainty-Aware Test-Time Augmented Ensemble of BERTs for Classifying Common Mental Illnesses on Social Media Posts Pratinav Seth Mihir Agarwal AI4MH 16 1 0 10 Apr 2023
Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantification Antoine de Mathelin Francois Deheeger Mathilde Mougeot Nicolas Vayatis OOD UQCV 12 2 0 08 Apr 2023
Reliable learning in challenging environments Maria-Florina Balcan Steve Hanneke Rattana Pukdee Dravyansh Sharma OOD 22 4 0 06 Apr 2023
Learning Stability Attention in Vision-based End-to-end Driving Policies Tsun-Hsuan Wang Wei Xiao Makram Chahine Alexander Amini Ramin Hasani Daniela Rus 22 5 0 05 Apr 2023
High Accuracy Uncertainty-Aware Interatomic Force Modeling with Equivariant Bayesian Neural Networks Tim Rensmeyer Benjamin Craig D. Kramer Oliver Niggemann BDL 31 3 0 05 Apr 2023
Non-Generative Energy Based Models Jacob Piland Christopher Sweet Priscila Saboia Charles Vardeman A. Czajka 28 0 0 03 Apr 2023
Development and Evaluation of Conformal Prediction Methods for QSAR Yuting Xu Andy Liaw R. Sheridan V. Svetnik 19 2 0 03 Apr 2023
MuRAL: Multi-Scale Region-based Active Learning for Object Detection Yi-Syuan Liou Tsung-Han Wu Jia-Fong Yeh Wen-Chin Chen Winston H. Hsu ObjD 11 0 0 29 Mar 2023
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation Wenbo Hu Xin Sun Qiang liu Wenbo Hu Shu Wu 38 0 0 23 Mar 2023
Confidence-aware 3D Gaze Estimation and Evaluation Metric Qiaojie Zheng Jiucai Zhang 18 0 0 17 Mar 2023
Adaptive Modeling of Uncertainties for Traffic Forecasting Ying Wu Yongchao Ye Adnan Zeb James J. Q. Yu Z. Wang AI4TS 24 7 0 16 Mar 2023
Robust Fusion for Bayesian Semantic Mapping David Morilla-Cabello Lorenzo Mur-Labadia Ruben Martinez-Cantin Eduardo Montijano 31 11 0 14 Mar 2023
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning Z. Yu Yin Li Yong Jae Lee 19 10 0 13 Mar 2023
Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis Raghav Mehta Changjian Shui Tal Arbel 16 12 0 06 Mar 2023
Rethinking Confidence Calibration for Failure Prediction Fei Zhu Zhen Cheng Xu-Yao Zhang Cheng-Lin Liu UQCV 14 39 0 06 Mar 2023
Towards Safety Assured End-to-End Vision-Based Control for Autonomous Racing Dvij Kalaria Qin Lin John M. Dolan 35 4 0 03 Mar 2023
Example Forgetting: A Novel Approach to Explain and Interpret Deep Neural Networks in Seismic Interpretation Ryan Benkert Oluwaseun Joseph Aribido Ghassan AlRegib 17 8 0 24 Feb 2023
Differentiable Rendering with Reparameterized Volume Sampling Nikita Morozov D. Rakitin Oleg Desheulin Dmitry Vetrov Kirill Struminsky 17 4 0 21 Feb 2023
Evaluating the effect of data augmentation and BALD heuristics on distillation of Semantic-KITTI dataset Ngoc Phuong Anh Duong Alexandre Almin Léo Lemarié B. R. Kiran 19 0 0 21 Feb 2023
Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations Monika Grewal Dustin van Weersel H. Westerveld Peter A. N. Bosman T. Alderliesten 11 2 0 21 Feb 2023
Model-based feature selection for neural networks: A mixed-integer programming approach Shudian Zhao Calvin Tsay Jan Kronqvist 29 5 0 20 Feb 2023
Uncertainty-aware Self-training for Low-resource Neural Sequence Labeling J. Wang Chengyu Wang Jun Huang Ming Gao Aoying Zhou BDL UQLM NoLa 37 4 0 17 Feb 2023
Uncertainty-Estimation with Normalized Logits for Out-of-Distribution Detection Mou-Yue Huang Yu Qiao 14 2 0 15 Feb 2023
Investigating Multi-source Active Learning for Natural Language Inference Ard Snijders Douwe Kiela Katerina Margatina 22 7 0 14 Feb 2023
Bag of Tricks for In-Distribution Calibration of Pretrained Transformers Jaeyoung Kim Dongbin Na Sungchul Choi Sungbin Lim VLM 21 5 0 13 Feb 2023
Fixing Overconfidence in Dynamic Neural Networks Lassi Meronen Martin Trapp Andrea Pilzer Le Yang Arno Solin BDL 26 16 0 13 Feb 2023
Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty Measurement Soyeong Jeong Jinheon Baek Sung Ju Hwang Jong C. Park 25 2 0 10 Feb 2023