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1703.04977
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What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
15 March 2017
Alex Kendall
Y. Gal
BDL
OOD
UD
UQCV
PER
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Papers citing
"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"
50 / 2,432 papers shown
Detailed delineation of the fetal brain in diffusion MRI via multi-task learning
Davood Karimi
Camilo Calixto
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Camilo Jaimes
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Simon K. Warfield
MedIm
195
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26 Aug 2024
DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation
AAAI Conference on Artificial Intelligence (AAAI), 2024
Xiaowei Mao
Yan Lin
Shengnan Guo
Yubin Chen
Xingyu Xian
Haomin Wen
Qisen Xu
Youfang Lin
Huaiyu Wan
358
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23 Aug 2024
Measuring Uncertainty Disentanglement Error in Classification
Ivo Pascal de Jong
A. Sburlea
Matthia Sabatelli
Matias Valdenegro-Toro
UQCV
UD
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410
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22 Aug 2024
Assessing the Uncertainty and Robustness of the Laptop Refurbishing Software
International Conference on Information Control Systems & Technologies (ICST), 2024
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Jiahui Wu
Shaukat Ali
Mikkel Labori Olsen
UQCV
168
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22 Aug 2024
Robust Long-Range Perception Against Sensor Misalignment in Autonomous Vehicles
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
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Sudeep Fadadu
Yi Shi
Louis Foucard
AAML
334
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20 Aug 2024
Deep Generative Classification of Blood Cell Morphology
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J. Gilbey
C. V. Laer
Nancy Boeckx
M. Leers
...
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Carola-Bibiane Schönlieb
S. Sivapalaratnam
Michael Roberts
P. Nachev
DiffM
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246
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16 Aug 2024
Lifelong Reinforcement Learning via Neuromodulation
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Samuel Liebana Garcia
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175
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15 Aug 2024
UAHOI: Uncertainty-aware Robust Interaction Learning for HOI Detection
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308
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Optical Music Recognition in Manuscripts from the Ricordi Archive
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Federico Simonetta
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166
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Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to Tail
AAAI Conference on Artificial Intelligence (AAAI), 2024
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Shaozi Li
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362
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Embodied Uncertainty-Aware Object Segmentation
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024
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Leslie Pack Kaelbling
Tomás Lozano-Pérez
137
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Gaussian Mixture based Evidential Learning for Stereo Matching
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Xingxing Wang
Lu Wang
Jun Cheng
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245
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Bayesian Kolmogorov Arnold Networks (Bayesian_KANs): A Probabilistic Approach to Enhance Accuracy and Interpretability
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243
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Source-Free Domain-Invariant Performance Prediction
European Conference on Computer Vision (ECCV), 2024
Ekaterina Khramtsova
Mahsa Baktashmotlagh
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Xi Wang
Mathieu Salzmann
UQCV
273
1
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Generalized Gaussian Temporal Difference Error for Uncertainty-aware Reinforcement Learning
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Namhoon Cho
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492
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390
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334
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Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts
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253
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Qiyang Zhang
Qing Cui
248
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A Bayesian Approach Toward Robust Multidimensional Ellipsoid-Specific Fitting
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Zhao Mingyang
Jia Xiaohong
Lei Ma
Yuke Shi
Jingen Jiang
Qizhai Li
Ming-Hsuan Yang
Huang Tiejun
123
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Shiyu Tan
Yuanlei Wang
Yizhen Lao
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436
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Changchang Yin
Ruoqi Liu
Bingsheng Yao
Dongdong Zhang
Jeffrey Caterino
Ping Zhang
156
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24 Jul 2024
Probabilistic Parameter Estimators and Calibration Metrics for Pose Estimation from Image Features
Romeo Valentin
Sydney M. Katz
Joonghyun Lee
Don Walker
Matthew Sorgenfrei
Mykel J. Kochenderfer
323
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Hu Cao
Carsten Trinitis
Martin Schulz
DD
260
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265
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Weakly-Supervised 3D Hand Reconstruction with Knowledge Prior and Uncertainty Guidance
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Jeffrey O. Kephart
Qiang Ji
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257
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cDP-MIL: Robust Multiple Instance Learning via Cascaded Dirichlet Process
Yihang Chen
Tsai Hor Chan
Guosheng Yin
Yuming Jiang
Lequan Yu
233
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Dogyoon Lee
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251
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The Misclassification Likelihood Matrix: Some Classes Are More Likely To Be Misclassified Than Others
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Naman Singh
Maeve Hutchinson
Dany Laksono
Mirela Reljan-Delaney
359
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SUMix: Mixup with Semantic and Uncertain Information
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Hongyu Zhu
Hongchao Liao
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UQCV
347
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10 Jul 2024
FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse Labels
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Fernando Navarro
Sebastian Eble
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Bjoern Menze
Sandy Engelhardt
FedML
181
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OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning
Wenjun Miao
Guansong Pang
Trong-Tung Nguyen
Ruohang Fang
Jin Zheng
Xiao Bai
OODD
378
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08 Jul 2024
On the power of data augmentation for head pose estimation
Michael Welter
CVBM
227
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Semi-Supervised Segmentation via Embedding Matching
Weiyi Xie
Nathalie Willems
Nikolas Lessmann
Tom Gibbons
D. Massari
146
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Relative Difficulty Distillation for Semantic Segmentation
Dong Liang
Yue Sun
Yun Du
Songcan Chen
Sheng-Jun Huang
227
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Joint Segmentation and Image Reconstruction with Error Prediction in Photoacoustic Imaging using Deep Learning
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Geoffrey P. Luke
Matthew O'Donnell
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Cross-Slice Attention and Evidential Critical Loss for Uncertainty-Aware Prostate Cancer Detection
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Haoxin Zheng
Kai Zhao
Kaifeng Pang
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Kyunghyun Sung
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Improve ROI with Causal Learning and Conformal Prediction
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Zhuo Chen
Jibin Wang
Jing Shang
Tao Tao
Zhen Li
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Weiyuan Peng
Guangyao Ding
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Chunlin Ji
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308
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Pierre-Marc Jodoin
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184
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Conditional Bayesian Quadrature
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Masha Naslidnyk
Arthur Gretton
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269
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Uncertainty-Aware Reward-Free Exploration with General Function Approximation
Junkai Zhang
Weitong Zhang
Dongruo Zhou
Q. Gu
385
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Bayesian neural networks for predicting uncertainty in full-field material response
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252
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Shishuai Hu
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259
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