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1802.10501
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Predictive Uncertainty Estimation via Prior Networks
Neural Information Processing Systems (NeurIPS), 2018
28 February 2018
A. Malinin
Mark Gales
UD
BDL
EDL
UQCV
PER
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Papers citing
"Predictive Uncertainty Estimation via Prior Networks"
50 / 576 papers shown
Prior2Former -- Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation
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370
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Dengfeng Pan
Jianlong Cai
Guang-Yong Chen
Zhun Zhong
Shaozi Li
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Shuo Li
268
0
0
04 Apr 2025
Hyperdimensional Uncertainty Quantification for Multimodal Uncertainty Fusion in Autonomous Vehicles Perception
Computer Vision and Pattern Recognition (CVPR), 2025
Luke Chen
Junyao Wang
Trier Mortlock
Pramod P. Khargonekar
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406
1
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25 Mar 2025
Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey
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Tiejin Chen
Longchao Da
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20 Mar 2025
Entropy-regularized Gradient Estimators for Approximate Bayesian Inference
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457
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15 Mar 2025
Certainly Bot Or Not? Trustworthy Social Bot Detection via Robust Multi-Modal Neural Processes
Qi Wu
Yingguang Yang
Hao Liu
Hao Peng
Buyun He
Yutong Xia
Yong Liao
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309
1
0
11 Mar 2025
Evidential Uncertainty Probes for Graph Neural Networks
International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Linlin Yu
Kangshuo Li
Pritom Kumar Saha
Yifei Lou
Feng Chen
EDL
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414
0
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11 Mar 2025
Peek into the `White-Box': A Field Study on Bystander Engagement with Urban Robot Uncertainty
International Conference on Human Factors in Computing Systems (CHI), 2025
Xinyan Yu
Marius Hoggenmueller
Tram Thi Minh Tran
Yiyuan Wang
Qiuming Zhang
M. Tomitsch
241
1
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Logit Disagreement: OoD Detection with Bayesian Neural Networks
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UQCV
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UD
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424
1
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409
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558
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UQCV
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350
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Making Reliable and Flexible Decisions in Long-tailed Classification
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925
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23 Jan 2025
Uncertainty-Aware Online Extrinsic Calibration: A Conformal Prediction Approach
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320
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Segmenting Text and Learning Their Rewards for Improved RLHF in Language Model
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327
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Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes
AAAI Conference on Artificial Intelligence (AAAI), 2023
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Boshen Zhang
Liang Liu
Jing Zhang
Yun Wang
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643
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Daniela de Albuquerque
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451
1
0
03 Jan 2025
ITP: Instance-Aware Test Pruning for Out-of-Distribution Detection
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Yang Yang
OODD
261
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Safety Monitoring of Machine Learning Perception Functions: a Survey
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Joris Guérin
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Jérémie Guiochet
H. Waeselynck
338
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Dat Nguyen Trong
Nacim Belkhir
Guoxuan Xia
Andrea Pilzer
UQLM
400
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0
04 Dec 2024
Customer Lifetime Value Prediction with Uncertainty Estimation Using Monte Carlo Dropout
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Yadong Xu
Xiaofeng Yang
294
0
0
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Sparse Bayesian Generative Modeling for Compressive Sensing
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Benedikt Bock
Sadaf Syed
Wolfgang Utschick
155
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Conformal-in-the-Loop for Learning with Imbalanced Noisy Data
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Jamil Fayyad
Nourhan Bayasi
Patricia Lasserre
Homayoun Najjaran
465
0
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Rafid Mahmood
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UQCV
EDL
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337
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Sijia Wang
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...
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383
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Probabilistic Degeneracy Detection for Point-to-Plane Error Minimization
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406
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833
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217
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511
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188
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Out-of-Distribution Detection with Relative Angles
Berker Demirel
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349
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FairlyUncertain: A Comprehensive Benchmark of Uncertainty in Algorithmic Fairness
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303
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