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
Multimodal Active Measurement for Human Mesh Recovery in Close Proximity Takahiro Maeda Keisuke Takeshita Norimichi Ukita Kazuhito Tanaka 18 0 0 12 Oct 2023
Conformal Prediction for Deep Classifier via Label Ranking Jianguo Huang Huajun Xi Linjun Zhang Huaxiu Yao Yue Qiu Hongxin Wei 33 21 0 10 Oct 2023
Conformal Decision Theory: Safe Autonomous Decisions from Imperfect Predictions Jordan Lekeufack Anastasios Nikolas Angelopoulos Andrea V. Bajcsy Michael I. Jordan Jitendra Malik OffRL 26 28 0 09 Oct 2023
Adaptive Multi-head Contrastive Learning Lei Wang Piotr Koniusz Tom Gedeon Liang Zheng 28 4 0 09 Oct 2023
The Robust Semantic Segmentation UNCV2023 Challenge Results Xuanlong Yu Yi Zuo Zitao Wang Xiaowen Zhang Jiaxuan Zhao ... Angela Yao Wenlong Chen Ivor J. A. Simpson Neill D. F. Campbell Gianni Franchi UQCV 33 4 0 27 Sep 2023
Cross-City Matters: A Multimodal Remote Sensing Benchmark Dataset for Cross-City Semantic Segmentation using High-Resolution Domain Adaptation Networks Danfeng Hong Bing Zhang Hao Li Yuxuan Li Jing Yao Chenyu Li Martin Werner Jocelyn Chanussote Alexander Zipf Xiaoxiang Zhu SSeg 19 336 0 26 Sep 2023
Learning to Abstain From Uninformative Data Yikai Zhang Songzhu Zheng M. Dalirrooyfard Pengxiang Wu Anderson Schneider Anant Raj Yuriy Nevmyvaka Chao Chen 16 2 0 25 Sep 2023
On the Posterior Distribution in Denoising: Application to Uncertainty Quantification Hila Manor T. Michaeli UQCV 23 17 0 24 Sep 2023
Conformalized Multimodal Uncertainty Regression and Reasoning Mimmo Parente Nastaran Darabi Alex C. Stutts Theja Tulabandhula A. R. Trivedi UQCV 26 6 0 20 Sep 2023
Adversarial Attacks Against Uncertainty Quantification Emanuele Ledda Daniele Angioni Giorgio Piras Giorgio Fumera Battista Biggio Fabio Roli AAML 27 2 0 19 Sep 2023
Treatment-aware Diffusion Probabilistic Model for Longitudinal MRI Generation and Diffuse Glioma Growth Prediction Qinghui Liu E. Fuster-García I. T. Hovden Donatas Sederevičius Karoline Skogen ... Till Schellhorn P. Brandal A. Bjørnerud K. Emblem Kyrre Eeg Emblem 28 3 0 11 Sep 2023
Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning Yong Lin Chen Liu Chen Ye Qing Lian Yuan Yao Tong Zhang 19 3 0 05 Sep 2023
Uncovering the Hidden Cost of Model Compression Diganta Misra Muawiz Chaudhary Agam Goyal Bharat Runwal Pin-Yu Chen VLM 28 0 0 29 Aug 2023
Are Existing Out-Of-Distribution Techniques Suitable for Network Intrusion Detection? Andrea Corsini S. Yang OODD AAML 13 7 0 28 Aug 2023
Uncertainty Estimation of Transformers' Predictions via Topological Analysis of the Attention Matrices Elizaveta Kostenok D. Cherniavskii Alexey Zaytsev 41 5 0 22 Aug 2023
SupEuclid: Extremely Simple, High Quality OoD Detection with Supervised Contrastive Learning and Euclidean Distance J. Haas OODD 12 0 0 21 Aug 2023
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression Xuanlong Yu Gianni Franchi Jindong Gu Emanuel Aldea UQCV 11 4 0 17 Aug 2023
Using Artificial Populations to Study Psychological Phenomena in Neural Models Jesse Roberts Kyle Moore Drew Wilenzick Doug Fisher 17 6 0 15 Aug 2023
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation Jadie Adams Shireen Elhabian UQCV 15 5 0 15 Aug 2023
Alternative Pseudo-Labeling for Semi-Supervised Automatic Speech Recognition Hanjing Zhu Dongji Gao Gaofeng Cheng Daniel Povey Pengyuan Zhang Yonghong Yan NoLa 25 4 0 12 Aug 2023
Uncertainty Quantification for Image-based Traffic Prediction across Cities Alexander Timans Nina Wiedemann Nishant Kumar Ye Hong Martin Raubal 16 1 0 11 Aug 2023
Comparing the quality of neural network uncertainty estimates for classification problems Daniel Ries Joshua J. Michalenko T. Ganter R. Baiyasi Jason Adams UQCV BDL 22 1 0 11 Aug 2023
Collective Human Opinions in Semantic Textual Similarity Yuxia Wang Shimin Tao Ning Xie Hao-Yu Yang Timothy Baldwin Karin Verspoor 21 4 0 08 Aug 2023
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation M. Woodland Nihil Patel Mais Al Taie J. Yung T. Netherton Ankit B. Patel Kristy K. Brock OOD 30 6 0 07 Aug 2023
Redesigning Out-of-Distribution Detection on 3D Medical Images A. Vasiliuk Daria Frolova Mikhail Belyaev B. Shirokikh OOD 26 5 0 07 Aug 2023
Likelihood-ratio-based confidence intervals for neural networks Laurens Sluijterman Eric Cator Tom Heskes UQCV 25 0 0 04 Aug 2023
VisAlign: Dataset for Measuring the Degree of Alignment between AI and Humans in Visual Perception Jiyoung Lee Seung Wook Kim Seunghyun Won Joonseok Lee Marzyeh Ghassemi James Thorne Jaeseok Choi O.-Kil Kwon E. Choi 22 1 0 03 Aug 2023
Shape Completion with Prediction of Uncertain Regions Matthias Humt Dominik Winkelbauer Ulrich Hillenbrand 17 4 0 01 Aug 2023
Dynamic ensemble selection based on Deep Neural Network Uncertainty Estimation for Adversarial Robustness Ruoxi Qin Linyuan Wang Xuehui Du Xing-yuan Chen Binghai Yan AAML 24 0 0 01 Aug 2023
Multi-layer Aggregation as a key to feature-based OOD detection Benjamin Lambert Florence Forbes Senan Doyle M. Dojat 19 5 0 28 Jul 2023
A survey on deep learning in medical image registration: new technologies, uncertainty, evaluation metrics, and beyond Junyu Chen Yihao Liu Shuwen Wei Zhangxing Bian Shalini Subramanian A. Carass Jerry L. Prince Yong Du OOD 34 36 0 28 Jul 2023
FocalErrorNet: Uncertainty-aware focal modulation network for inter-modal registration error estimation in ultrasound-guided neurosurgery Soorena Salari Amir Rasoulian H. Rivaz Yiming Xiao 12 6 0 26 Jul 2023
Hybrid Representation-Enhanced Sampling for Bayesian Active Learning in Musculoskeletal Segmentation of Lower Extremities Ganping Li Yoshito Otake Mazen Soufi M. Taniguchi Masahide Yagi N. Ichihashi Keisuke Uemura Masaki Takao Nobuhiko Sugano Yoshinobu Sato 24 3 0 26 Jul 2023
On-Robot Bayesian Reinforcement Learning for POMDPs Hai V. Nguyen Sammie Katt Yuchen Xiao Chris Amato OffRL 18 1 0 22 Jul 2023
U-CE: Uncertainty-aware Cross-Entropy for Semantic Segmentation S. Landgraf Markus Hillemann Kira Wursthorn Markus Ulrich SSeg UQCV 19 6 0 19 Jul 2023
FedBIAD: Communication-Efficient and Accuracy-Guaranteed Federated Learning with Bayesian Inference-Based Adaptive Dropout Jingjing Xue Min Liu Sheng Sun Yuwei Wang Hui Jiang Xue Jiang 13 7 0 14 Jul 2023
Function-Space Regularization for Deep Bayesian Classification J. Lin Joe Watson Pascal Klink Jan Peters UQCV BDL 33 1 0 12 Jul 2023
Law of Large Numbers for Bayesian two-layer Neural Network trained with Variational Inference Arnaud Descours Tom Huix Arnaud Guillin Manon Michel Eric Moulines Boris Nectoux BDL 24 1 0 10 Jul 2023
On The Impact of Machine Learning Randomness on Group Fairness Prakhar Ganesh Hong Chang Martin Strobel Reza Shokri FaML 21 30 0 09 Jul 2023
A Deep Active Contour Model for Delineating Glacier Calving Fronts Konrad Heidler Lichao Mou Erik Loebel M. Scheinert Sébastien Lefèvre Xiao Xiang Zhu 27 7 0 07 Jul 2023
Distance Preserving Machine Learning for Uncertainty Aware Accelerator Capacitance Predictions S. Goldenberg M. Schram Kishansingh Rajput T. Britton C. Pappas Dawei Lu Jared Walden M. Radaideh Sarah Cousineau S. Harave 27 1 0 05 Jul 2023
Robust Uncertainty Estimation for Classification of Maritime Objects J. Becktor Frederik E. T. Schöller Evangelos Boukas Lazaros Nalpantidis UQCV OOD 28 2 0 03 Jul 2023
A Comprehensive Modeling Approach for Crop Yield Forecasts using AI-based Methods and Crop Simulation Models R. L. F. Cunha B. Silva Priscilla Avegliano 17 0 0 16 Jun 2023
Annotator Consensus Prediction for Medical Image Segmentation with Diffusion Models Tomer Amit Shmuel Shichrur Tal Shaharabany Lior Wolf MedIm DiffM 30 10 0 15 Jun 2023
Probabilistic-based Feature Embedding of 4-D Light Fields for Compressive Imaging and Denoising Xianqiang Lyu Junhui Hou 36 3 0 15 Jun 2023
Deep Model Compression Also Helps Models Capture Ambiguity Hancheol Park Jong C. Park 25 1 0 12 Jun 2023
Estimating the Uncertainty in Emotion Attributes using Deep Evidential Regression Wen Wu C. Zhang P. Woodland UQCV UD EDL 15 11 0 11 Jun 2023
Topology-Aware Uncertainty for Image Segmentation Saumya Gupta Yikai Zhang Xiaoling Hu Prateek Prasanna Chao Chen 28 27 0 09 Jun 2023
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability Jianing Zhu Hengzhuang Li Jiangchao Yao Tongliang Liu Jianliang Xu Bo Han OODD 35 12 0 06 Jun 2023
Quantification of Uncertainties in Deep Learning-based Environment Perception Marco Braun Moritz Luszek Jan Siegemund Kevin Kollek A. Kummert UQCV EDL 10 4 0 05 Jun 2023