What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?

15 March 2017

Alex Kendall

Papers citing "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"

50 / 2,214 papers shown

Title
Continuous Time Evidential Distributions for Irregular Time Series Taylor W. Killian Haoran Zhang Thomas Hartvigsen Ava P. Amini OOD EDL 44 0 0 25 Jul 2023
Information-theoretic Analysis of Test Data Sensitivity in Uncertainty Futoshi Futami Tomoharu Iwata UD PER 22 3 0 23 Jul 2023
Improving Transferability of Adversarial Examples via Bayesian Attacks Qizhang Li Yiwen Guo Xiaochen Yang W. Zuo Hao Chen AAML BDL 44 2 0 21 Jul 2023
Probabilistic Multimodal Depth Estimation Based on Camera-LiDAR Sensor Fusion Johan S. Obando-Ceron Victor A. Romero-Cano S. Monteiro MDE 43 3 0 20 Jul 2023
Confidence Estimation Using Unlabeled Data Chen Li Xiaoling Hu Chao Chen UQCV 28 9 0 19 Jul 2023
U-CE: Uncertainty-aware Cross-Entropy for Semantic Segmentation S. Landgraf Markus Hillemann Kira Wursthorn Markus Ulrich SSeg UQCV 31 6 0 19 Jul 2023
Measuring and Modeling Uncertainty Degree for Monocular Depth Estimation Mochu Xiang Jing Zhang Nick Barnes Yuchao Dai UQCV 50 3 0 19 Jul 2023
Occlusion Aware Student Emotion Recognition based on Facial Action Unit Detection Shrouk Wally Ahmed S. ELSayed Islam Alkabbany Asem A. Ali Asem Ali CVBM 39 0 0 18 Jul 2023
Uncertainty-Aware Acoustic Localization and Mapping for Underwater Robots Jingyu Song Onur Bagoren Katherine A. Skinner 29 3 0 17 Jul 2023
Uncertainty-aware State Space Transformer for Egocentric 3D Hand Trajectory Forecasting Wentao Bao Lele Chen Libing Zeng Zhong Li Yinghao Xu Junsong Yuan Yubo Kong 29 15 0 17 Jul 2023
Look Before You Leap: An Exploratory Study of Uncertainty Measurement for Large Language Models Yuheng Huang Jiayang Song Zhijie Wang Shengming Zhao Huaming Chen Felix Juefei-Xu Lei Ma 33 34 0 16 Jul 2023
Risk Controlled Image Retrieval Kaiwen Cai Chris Xiaoxuan Lu Xingyu Zhao Xiaowei Huang 14 0 0 14 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 26 7 0 14 Jul 2023
A Novel Bayes' Theorem for Upper Probabilities Michele Caprio Yusuf Sale Eyke Hüllermeier Insup Lee 28 10 0 13 Jul 2023
A Bayesian approach to quantifying uncertainties and improving generalizability in traffic prediction models Agnimitra Sengupta Sudeepta Mondal A. Das S. I. Guler BDL UQCV 32 11 0 12 Jul 2023
Joint Salient Object Detection and Camouflaged Object Detection via Uncertainty-aware Learning Aixuan Li Jing Zhang Yun-Qiu Lv Tong Zhang Yiran Zhong Mingyi He Yuchao Dai 34 2 0 10 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 32 1 0 10 Jul 2023
URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates Michael Kirchhof Bálint Mucsányi Seong Joon Oh Enkelejda Kasneci UQCV 376 13 0 07 Jul 2023
Robust Human Detection under Visual Degradation via Thermal and mmWave Radar Fusion Kaiwen Cai Qiyue Xia Peize Li John A. Stankovic Chris Xiaoxuan Lu 16 2 0 07 Jul 2023
Quantification of Uncertainty with Adversarial Models Kajetan Schweighofer L. Aichberger Mykyta Ielanskyi Günter Klambauer Sepp Hochreiter UQCV 44 14 0 06 Jul 2023
When Does Confidence-Based Cascade Deferral Suffice? Wittawat Jitkrittum Neha Gupta A. Menon Harikrishna Narasimhan A. S. Rawat Surinder Kumar 27 20 0 06 Jul 2023
An Uncertainty Aided Framework for Learning based Liver $T_1ρ$ Mapping and Analysis Chaoxing Huang V. Wong Queenie Chan Winnie Chiu Wing Chu Weitian Chen MedIm 19 2 0 06 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 47 1 0 05 Jul 2023
Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models Jinhao Duan Hao-Ran Cheng Shiqi Wang Alex Zavalny Chenan Wang Renjing Xu B. Kailkhura Kaidi Xu 40 35 0 03 Jul 2023
ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models Uddeshya Upadhyay Shyamgopal Karthik Massimiliano Mancini Zeynep Akata MLLM VLM 28 4 0 01 Jul 2023
Integrating Large Pre-trained Models into Multimodal Named Entity Recognition with Evidential Fusion Weide Liu Xiaoyang Zhong Jingwen Hou Shaohua Li Haozhe Huang Yuming Fang EDL 37 5 0 29 Jun 2023
Understanding Pathologies of Deep Heteroskedastic Regression Eliot Wong-Toi Alex Boyd Vincent Fortuin Stephan Mandt UQCV 21 3 0 29 Jun 2023
Inter-Rater Uncertainty Quantification in Medical Image Segmentation via Rater-Specific Bayesian Neural Networks Qingqiao Hu Hao Wang Jing Luo Yuan Luo Z. Zhangg Jan S. Kirschke Benedikt Wiestler Bjoern H. Menze Jianguo Zhang Hongwei Bran Li UQCV 21 2 0 28 Jun 2023
Learnable Differencing Center for Nighttime Depth Perception Zhiqiang Yan Yupeng Zheng Chongyi Li Jun Yu Li Jian Yang 3DV 28 11 0 26 Jun 2023
Adversarial Robustness Certification for Bayesian Neural Networks Matthew Wicker A. Patané Luca Laurenti Marta Z. Kwiatkowska AAML 33 3 0 23 Jun 2023
Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift Florian Seligmann P. Becker Michael Volpp Gerhard Neumann UQCV 32 14 0 21 Jun 2023
Unfolding Framework with Prior of Convolution-Transformer Mixture and Uncertainty Estimation for Video Snapshot Compressive Imaging Siming Zheng Xin Yuan ViT MedIm 10 5 0 20 Jun 2023
Hyperbolic Active Learning for Semantic Segmentation under Domain Shift Luca Franco Paolo Mandica Konstantinos Kallidromitis Devin Guillory Yu-Teng Li Trevor Darrell Fabio Galasso 57 9 0 19 Jun 2023
UncLe-SLAM: Uncertainty Learning for Dense Neural SLAM Erik Sandström Kevin Ta Luc Van Gool Martin R. Oswald 37 19 0 19 Jun 2023
Balanced Energy Regularization Loss for Out-of-distribution Detection Hyunjun Choi Hawook Jeong Jin Young Choi OODD 46 19 0 18 Jun 2023
CLARA: Classifying and Disambiguating User Commands for Reliable Interactive Robotic Agents Jeongeun Park Seungwon Lim Joonhyung Lee Sangbeom Park Minsuk Chang Youngjae Yu Sungjoon Choi LM&Ro 44 22 0 17 Jun 2023
Multi-view 3D Object Reconstruction and Uncertainty Modelling with Neural Shape Prior Ziwei Liao Steven L. Waslander 37 8 0 17 Jun 2023
Is the Volume of a Credal Set a Good Measure for Epistemic Uncertainty? Yusuf Sale Michele Caprio Eyke Hüllermeier UD 37 25 0 16 Jun 2023
Overcoming the Limitations of Localization Uncertainty: Efficient & Exact Non-Linear Post-Processing and Calibration Moussa Kassem Sbeyti Michelle Karg Christian Wirth Azarm Nowzad S. Albayrak 24 3 0 15 Jun 2023
Exploring Resolution Fields for Scalable Image Compression with Uncertainty Guidance Dongyi Zhang Feng Li Man Liu Runmin Cong H. Bai Ming Wang Yao-Min Zhao 39 7 0 15 Jun 2023
Deep Gaussian Mixture Ensembles Yousef El-Laham Niccolò Dalmasso Elizabeth Fons Svitlana Vyetrenko BDL UQCV 33 2 0 12 Jun 2023
Estimating the Uncertainty in Emotion Attributes using Deep Evidential Regression Wen Wu Chuxu Zhang P. Woodland UQCV UD EDL 25 11 0 11 Jun 2023
Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing Ziyan Wang Hao Wang UQCV 24 0 0 11 Jun 2023
Push: Concurrent Probabilistic Programming for Bayesian Deep Learning Daniel Huang Christian Camaño Jonathan Tsegaye Jonathan Austin Gale AI4CE 40 0 0 10 Jun 2023
Conformalizing Machine Translation Evaluation Chrysoula Zerva André F.T. Martins 27 3 0 09 Jun 2023
Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks Ziyi Huang Henry Lam Haofeng Zhang UQCV 30 4 0 09 Jun 2023
Topology-Aware Uncertainty for Image Segmentation Saumya Gupta Yikai Zhang Xiaoling Hu Prateek Prasanna Chao Chen 33 27 0 09 Jun 2023
On the Importance of Exploration for Generalization in Reinforcement Learning Yiding Jiang J. Zico Kolter Roberta Raileanu UQCV OffRL 36 20 0 08 Jun 2023
Tracking Objects with 3D Representation from Videos Jiawei He Lue Fan Yuqi Wang Yuntao Chen Zehao Huang Nai-long Wang Zhaoxiang Zhang 3DPC VOT 72 1 0 08 Jun 2023
Deep Learning Method for Cell-Wise Object Tracking, Velocity Estimation and Projection of Sensor Data over Time Marco Braun Moritz Luszek M. Meuter Dominic Spata Kevin Kollek A. Kummert 40 1 0 08 Jun 2023