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?"

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Title
Weakly Supervised Monocular 3D Detection with a Single-View Image Xue-Qiu Jiang Sheng Jin Lewei Lu Xiaoqin Zhang Shijian Lu 58 6 0 29 Feb 2024
Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos Tianyi Zhang Yu Cao Dianbo Liu FedML 24 0 0 29 Feb 2024
NARUTO: Neural Active Reconstruction from Uncertain Target Observations Ziyue Feng Huangying Zhan Zheng Chen Qingan Yan Xiangyu Xu Changjiang Cai Bing Li Qilun Zhu Yi Tian Xu AI4CE 56 14 0 29 Feb 2024
A Priori Uncertainty Quantification of Reacting Turbulence Closure Models using Bayesian Neural Networks Graham Pash M. Hassanaly S. Yellapantula AI4CE 45 0 0 28 Feb 2024
Mitigating Distributional Shift in Semantic Segmentation via Uncertainty Estimation from Unlabelled Data David S. W. Williams Daniele De Martini Matthew Gadd Paul Newman UQCV 29 5 0 27 Feb 2024
Masked Gamma-SSL: Learning Uncertainty Estimation via Masked Image Modeling David S. W. Williams Matthew Gadd Paul Newman Daniele De Martini UQCV 30 1 0 27 Feb 2024
A Review of Data Mining in Personalized Education: Current Trends and Future Prospects Zhang Xiong Haoxuan Li Zhuang Liu Zhuofan Chen Hao Zhou Wenge Rong Y. Ouyang 35 5 0 27 Feb 2024
Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification Yasser Abduallah Khalid A. Alobaid Jason T. L. Wang Haimin Wang V. Jordanova Vasyl Yurchyshyn Huseyin Cavus Ju Jing 34 3 0 27 Feb 2024
Outlier detection by ensembling uncertainty with negative objectness Anja Delić Matej Grcić Sinisa Segvic UQCV 59 15 0 23 Feb 2024
A Framework for Variational Inference of Lightweight Bayesian Neural Networks with Heteroscedastic Uncertainties D. Schodt Ryan Brown Michael Merritt Samuel Park Delsin Menolascino M. Peot BDL UQCV UD 34 1 0 22 Feb 2024
Word-Sequence Entropy: Towards Uncertainty Estimation in Free-Form Medical Question Answering Applications and Beyond Zhiyuan Wang Jinhao Duan Chenxi Yuan Qingyu Chen Tianlong Chen Huaxiu Yao Yue Zhang Ren Wang Kaidi Xu Xiaoshuang Shi UQLM 41 10 0 22 Feb 2024
A Recurrent Neural Network Enhanced Unscented Kalman Filter for Human Motion Prediction Wansong Liu Sibo Tian Boyi Hu Xiao Liang Minghui Zheng 32 1 0 20 Feb 2024
Investigating the Impact of Model Instability on Explanations and Uncertainty Sara Vera Marjanović Isabelle Augenstein Christina Lioma AAML 50 0 0 20 Feb 2024
UncertaintyTrack: Exploiting Detection and Localization Uncertainty in Multi-Object Tracking Chang Won Lee Steven L. Waslander VOT 31 2 0 19 Feb 2024
BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts Emanuele Marconato Samuele Bortolotti Emile van Krieken Antonio Vergari Andrea Passerini Stefano Teso 41 19 0 19 Feb 2024
Predictive Uncertainty Quantification via Risk Decompositions for Strictly Proper Scoring Rules Nikita Kotelevskii Maxim Panov PER UQCV UD 37 5 0 16 Feb 2024
Conformalized Credal Set Predictors Alireza Javanmardi David Stutz Eyke Hüllermeier 28 11 0 16 Feb 2024
Efficient Multi-task Uncertainties for Joint Semantic Segmentation and Monocular Depth Estimation S. Landgraf Markus Hillemann Theodor Kapler Markus Ulrich UQCV 36 8 0 16 Feb 2024
Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods? Mira Jürgens Nis Meinert Viktor Bengs Eyke Hüllermeier Willem Waegeman UQCV UD PER EDL BDL 34 11 0 14 Feb 2024
Selective Learning: Towards Robust Calibration with Dynamic Regularization Zongbo Han Yifeng Yang Changqing Zhang Linjun Zhang Qiufeng Wang Qinghua Hu 29 4 0 13 Feb 2024
Uncertainty Quantification via Stable Distribution Propagation Felix Petersen Aashwin Mishra Hilde Kuehne Christian Borgelt Oliver Deussen Mikhail Yurochkin UQCV 45 5 0 13 Feb 2024
FedImpro: Measuring and Improving Client Update in Federated Learning Zhenheng Tang Yonggang Zhang S. Shi Xinmei Tian Tongliang Liu Bo Han Xiaowen Chu FedML 28 13 0 10 Feb 2024
Explain Variance of Prediction in Variational Time Series Models for Clinical Deterioration Prediction Jiacheng Liu Jaideep Srivastava 33 0 0 09 Feb 2024
Asking the Right Question at the Right Time: Human and Model Uncertainty Guidance to Ask Clarification Questions A. Testoni Raquel Fernández 22 10 0 09 Feb 2024
Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes Yingyi Chen Qinghua Tao F. Tonin Johan A. K. Suykens 27 1 0 02 Feb 2024
Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient Descent Luca Della Libera Jacopo Andreoli Davide Dalle Pezze Mirco Ravanelli Gian Antonio Susto BDL 34 1 0 02 Feb 2024
Bayesian Inference Accelerator for Spiking Neural Networks Prabodh Katti Anagha Nimbekar Chen Li Amit Acharyya Bashir M. Al-Hashimi Bipin Rajendran TPM 17 2 0 27 Jan 2024
SimpleEgo: Predicting Probabilistic Body Pose from Egocentric Cameras Hanz Cuevas-Velasquez Charlie Hewitt S. Aliakbarian Tadas Baltruvsaitis 34 6 0 26 Jan 2024
Roq: Robust Query Optimization Based on a Risk-aware Learned Cost Model Amin Kamali Verena Kantere C. Zuzarte Vincent Corvinelli 46 0 0 26 Jan 2024
Improving Pseudo-labelling and Enhancing Robustness for Semi-Supervised Domain Generalization Adnan Khan Mai A. Shaaban Muhammad Haris Khan 34 5 0 25 Jan 2024
Tyche: Stochastic In-Context Learning for Medical Image Segmentation Marianne Rakic Hallee E. Wong Jose Javier Gonzalez Ortiz Beth Cimini John Guttag Adrian V. Dalca 36 11 0 24 Jan 2024
Full Bayesian Significance Testing for Neural Networks Zehua Liu Zimeng Li Jingyuan Wang Yue He BDL 21 3 0 24 Jan 2024
GA-SmaAt-GNet: Generative Adversarial Small Attention GNet for Extreme Precipitation Nowcasting Eloy Reulen S. Mehrkanoon 34 3 0 18 Jan 2024
ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation Kim-Celine Kahl Carsten T. Lüth M. Zenk Klaus Maier-Hein Paul F. Jaeger UQCV 30 16 0 16 Jan 2024
Combining Confidence Elicitation and Sample-based Methods for Uncertainty Quantification in Misinformation Mitigation Mauricio Rivera Jean-François Godbout Reihaneh Rabbany Kellin Pelrine HILM 29 9 0 13 Jan 2024
VI-PANN: Harnessing Transfer Learning and Uncertainty-Aware Variational Inference for Improved Generalization in Audio Pattern Recognition John Fischer Marko Orescanin Eric Eckstrand UQCV BDL 32 4 0 10 Jan 2024
Latency-aware Road Anomaly Segmentation in Videos: A Photorealistic Dataset and New Metrics Beiwen Tian Huan-ang Gao Leiyao Cui Yupeng Zheng Lan Luo Baofeng Wang Rong Zhi Guyue Zhou Hao Zhao 31 4 0 10 Jan 2024
Act as You Learn: Adaptive Decision-Making in Non-Stationary Markov Decision Processes Baiting Luo Yunuo Zhang Abhishek Dubey Ayan Mukhopadhyay 13 3 0 03 Jan 2024
Answering from Sure to Uncertain: Uncertainty-Aware Curriculum Learning for Video Question Answering Haopeng Li Qiuhong Ke Mingming Gong Tom Drummond 39 1 0 03 Jan 2024
Neural Networks Against (and For) Self-Training: Classification with Small Labeled and Large Unlabeled Sets Payam Karisani 23 1 0 31 Dec 2023
Second-Order Uncertainty Quantification: Variance-Based Measures Yusuf Sale Paul Hofman Lisa Wimmer Eyke Hüllermeier Thomas Nagler PER UQCV UD 37 8 0 30 Dec 2023
ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness Yunfei Zhang Chuan Qin Dazhong Shen Haiping Ma Le Zhang Xingyi Zhang Hengshu Zhu 19 6 0 29 Dec 2023
Spatial-Related Sensors Matters: 3D Human Motion Reconstruction Assisted with Textual Semantics Xueyuan Yang Chao Yao Xiaojuan Ban 39 3 0 27 Dec 2023
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models Gianni Franchi Olivier Laurent Maxence Leguéry Andrei Bursuc Andrea Pilzer Angela Yao UQCV BDL 23 4 0 23 Dec 2023
MonoLSS: Learnable Sample Selection For Monocular 3D Detection Zhenjia Li Jinrang Jia Yifeng Shi 41 12 0 22 Dec 2023
Weakly Supervised Semantic Segmentation for Driving Scenes Dongseob Kim Seungho Lee Junsuk Choe Hyunjung Shim 15 3 0 21 Dec 2023
VSR-Net: Vessel-like Structure Rehabilitation Network with Graph Clustering Haili Ye Xiaoqing Zhang Yan Hu Huazhu Fu Jiang-Dong Liu 40 4 0 20 Dec 2023
Uncertainty-based Fairness Measures Selim Kuzucu Jiaee Cheong Hatice Gunes Sinan Kalkan UD PER 37 4 0 18 Dec 2023
Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks Nikita Kotelevskii Samuel Horváth Karthik Nandakumar Martin Takáč Maxim Panov UQCV FedML OOD 34 7 0 18 Dec 2023
Deep Learning Approaches for Seizure Video Analysis: A Review David Ahmedt-Aristizabal M. Armin Zeeshan Hayder Norberto Garcia-Cairasco Lars Petersson Clinton Fookes Simon Denman A. McGonigal 32 21 0 18 Dec 2023