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Predictive Uncertainty Estimation via Prior Networks
v1v2v3v4 (latest)

Predictive Uncertainty Estimation via Prior Networks

Neural Information Processing Systems (NeurIPS), 2018
28 February 2018
A. Malinin
Mark Gales
    UDBDLEDLUQCVPER
ArXiv (abs)PDFHTML

Papers citing "Predictive Uncertainty Estimation via Prior Networks"

50 / 576 papers shown
Beyond Unimodal: Generalising Neural Processes for Multimodal
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Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty EstimationNeural Information Processing Systems (NeurIPS), 2023
M. Jung
He Zhao
Joanna Dipnall
Lan Du
UQCVBDL
255
11
0
04 Apr 2023
Uncertainty Propagation in Node Classification
Uncertainty Propagation in Node ClassificationIndustrial Conference on Data Mining (IDM), 2022
Zhao Xu
Carolin (Haas) Lawrence
Ammar Shaker
Raman Siarheyeu
BDLUQCV
286
2
0
03 Apr 2023
ALUM: Adversarial Data Uncertainty Modeling from Latent Model
  Uncertainty Compensation
ALUM: Adversarial Data Uncertainty Modeling from Latent Model Uncertainty Compensation
Wei Wei
Jiahuan Zhou
Hongze Li
Yingying Wu
123
1
0
29 Mar 2023
Adaptive Negative Evidential Deep Learning for Open-set Semi-supervised
  Learning
Adaptive Negative Evidential Deep Learning for Open-set Semi-supervised LearningAAAI Conference on Artificial Intelligence (AAAI), 2023
Yang Yu
Danruo Deng
Fu-Lun Liu
Yueming Jin
Qi Dou
Guangyong Chen
Pheng-Ann Heng
EDLBDL
366
5
0
21 Mar 2023
Reliable Multimodality Eye Disease Screening via Mixture of Student's t
  Distributions
Reliable Multimodality Eye Disease Screening via Mixture of Student's t DistributionsInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
K. Zou
Tian Lin
Xuedong Yuan
Haoyu Chen
Xiaojing Shen
Meng Wang
Huazhu Fu
192
3
0
17 Mar 2023
Long-tailed Classification from a Bayesian-decision-theory Perspective
Long-tailed Classification from a Bayesian-decision-theory Perspective
Bolian Li
Ruqi Zhang
278
1
0
10 Mar 2023
Training, Architecture, and Prior for Deterministic Uncertainty Methods
Training, Architecture, and Prior for Deterministic Uncertainty Methods
Bertrand Charpentier
Chenxiang Zhang
Stephan Günnemann
UQCVOODAI4CE
303
9
0
10 Mar 2023
Reliability-Adaptive Consistency Regularization for Weakly-Supervised
  Point Cloud Segmentation
Reliability-Adaptive Consistency Regularization for Weakly-Supervised Point Cloud SegmentationInternational Journal of Computer Vision (IJCV), 2023
Zhonghua Wu
Ramzi N. Zahreddine
Guosheng Lin
Jianfei Cai
3DPC
263
17
0
09 Mar 2023
Predicted Embedding Power Regression for Large-Scale Out-of-Distribution
  Detection
Predicted Embedding Power Regression for Large-Scale Out-of-Distribution Detection
Han Yang
William R. Gebhardt
Alexander Ororbia
Travis J. Desell
OODD
188
0
0
07 Mar 2023
Non-Parametric Outlier Synthesis
Non-Parametric Outlier SynthesisInternational Conference on Learning Representations (ICLR), 2023
Leitian Tao
Xuefeng Du
Xiaojin Zhu
Shouqing Yang
OODD
239
143
0
06 Mar 2023
Uncertainty Estimation by Fisher Information-based Evidential Deep
  Learning
Uncertainty Estimation by Fisher Information-based Evidential Deep LearningInternational Conference on Machine Learning (ICML), 2023
Danruo Deng
Guangyong Chen
Yang Yu
Fu-Lun Liu
Pheng-Ann Heng
EDLUQCVFedML
467
68
0
03 Mar 2023
Evaluating Robustness and Uncertainty of Graph Models Under Structural
  Distributional Shifts
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional ShiftsNeural Information Processing Systems (NeurIPS), 2023
Gleb Bazhenov
Denis Kuznedelev
A. Malinin
Artem Babenko
Liudmila Prokhorenkova
OOD
332
10
0
27 Feb 2023
Dirichlet-based Uncertainty Calibration for Active Domain Adaptation
Dirichlet-based Uncertainty Calibration for Active Domain AdaptationInternational Conference on Learning Representations (ICLR), 2023
Mixue Xie
Shuang Li
Rui Zhang
Chi Harold Liu
UQCV
176
42
0
27 Feb 2023
A Survey on Uncertainty Quantification Methods for Deep Learning
A Survey on Uncertainty Quantification Methods for Deep Learning
Wenchong He
Zhe Jiang
Tingsong Xiao
Zelin Xu
Yukun Li
BDLUQCVAI4CE
704
57
0
26 Feb 2023
Distilling Calibrated Student from an Uncalibrated Teacher
Distilling Calibrated Student from an Uncalibrated Teacher
Ishan Mishra
Sethu Vamsi Krishna
Deepak Mishra
FedML
165
3
0
22 Feb 2023
Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation
  in Natural Language Generation
Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language GenerationInternational Conference on Learning Representations (ICLR), 2023
Lorenz Kuhn
Y. Gal
Sebastian Farquhar
UQLM
592
474
0
19 Feb 2023
Approximately Bayes-Optimal Pseudo Label Selection
Approximately Bayes-Optimal Pseudo Label SelectionConference on Uncertainty in Artificial Intelligence (UAI), 2023
Julian Rodemann
Jann Goschenhofer
Emilio Dorigatti
T. Nagler
Thomas Augustin
308
9
0
17 Feb 2023
Rethinking "Risk" in Algorithmic Systems Through A Computational
  Narrative Analysis of Casenotes in Child-Welfare
Rethinking "Risk" in Algorithmic Systems Through A Computational Narrative Analysis of Casenotes in Child-WelfareInternational Conference on Human Factors in Computing Systems (CHI), 2023
Devansh Saxena
Erin Moon
Aryan Chaurasia
Yixin Guan
Shion Guha
227
28
0
16 Feb 2023
Density-Softmax: Efficient Test-time Model for Uncertainty Estimation
  and Robustness under Distribution Shifts
Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution ShiftsInternational Conference on Machine Learning (ICML), 2023
H. Bui
Anqi Liu
OODUQCV
578
9
0
13 Feb 2023
Confidence-based Reliable Learning under Dual Noises
Confidence-based Reliable Learning under Dual NoisesNeural Information Processing Systems (NeurIPS), 2023
Peng Cui
Yang Yue
Zhijie Deng
Jun Zhu
NoLa
96
12
0
10 Feb 2023
Event Temporal Relation Extraction with Bayesian Translational Model
Event Temporal Relation Extraction with Bayesian Translational ModelConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Xingwei Tan
Gabriele Pergola
Yulan He
AI4TS
218
16
0
10 Feb 2023
IB-UQ: Information bottleneck based uncertainty quantification for
  neural function regression and neural operator learning
IB-UQ: Information bottleneck based uncertainty quantification for neural function regression and neural operator learningJournal of Computational Physics (JCP), 2023
Ling Guo
Hao Wu
Wenwen Zhou
Yan Wang
Tao Zhou
UQCV
314
21
0
07 Feb 2023
Generating Evidential BEV Maps in Continuous Driving Space
Generating Evidential BEV Maps in Continuous Driving SpaceIsprs Journal of Photogrammetry and Remote Sensing (ISPRS J. Photogramm. Remote Sens.), 2023
Yunshuang Yuan
Hao Cheng
M. Yang
Monika Sester
260
19
0
06 Feb 2023
Trust, but Verify: Using Self-Supervised Probing to Improve
  Trustworthiness
Trust, but Verify: Using Self-Supervised Probing to Improve TrustworthinessEuropean Conference on Computer Vision (ECCV), 2023
Ailin Deng
Shen Li
Miao Xiong
Zhirui Chen
Bryan Hooi
156
4
0
06 Feb 2023
Variational Inference on the Final-Layer Output of Neural Networks
Variational Inference on the Final-Layer Output of Neural Networks
Yadi Wei
Roni Khardon
BDLUQCV
350
0
0
05 Feb 2023
On Second-Order Scoring Rules for Epistemic Uncertainty Quantification
On Second-Order Scoring Rules for Epistemic Uncertainty QuantificationInternational Conference on Machine Learning (ICML), 2023
Viktor Bengs
Eyke Hüllermeier
Willem Waegeman
UQCV
478
30
0
30 Jan 2023
Master's Thesis: Out-of-distribution Detection with Energy-based Models
Master's Thesis: Out-of-distribution Detection with Energy-based Models
Sven Elflein
OODD
186
2
0
28 Jan 2023
Hybrid Open-set Segmentation with Synthetic Negative Data
Hybrid Open-set Segmentation with Synthetic Negative DataIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Matej Grcić
Sinivsa vSegvić
293
11
0
19 Jan 2023
How Does Traffic Environment Quantitatively Affect the Autonomous
  Driving Prediction?
How Does Traffic Environment Quantitatively Affect the Autonomous Driving Prediction?
Wenbo Shao
Yan Xu
Jun Yu Li
Chen Lv
Weida Wang
Hong Wang
169
13
0
11 Jan 2023
On Advantages of Mask-level Recognition for Outlier-aware Segmentation
On Advantages of Mask-level Recognition for Outlier-aware Segmentation
Matej Grcić
Josip vSarić
Sinivsa vSegvić
UQCV
405
45
0
09 Jan 2023
Learning Implicit Functions for Dense 3D Shape Correspondence of Generic
  Objects
Learning Implicit Functions for Dense 3D Shape Correspondence of Generic ObjectsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Feng Liu
Xiaoming Liu
3DPC3DV
196
4
0
29 Dec 2022
Multi-head Uncertainty Inference for Adversarial Attack Detection
Multi-head Uncertainty Inference for Adversarial Attack DetectionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Yuqi Yang
Songyun Yang
Jiyang Xie. Zhongwei Si
Kai Guo
Kecheng Zhang
Kongming Liang
AAML
127
3
0
20 Dec 2022
AI Security for Geoscience and Remote Sensing: Challenges and Future
  Trends
AI Security for Geoscience and Remote Sensing: Challenges and Future TrendsIEEE Geoscience and Remote Sensing Magazine (GRSM), 2022
Yonghao Xu
Tao Bai
Weikang Yu
Shizhen Chang
P. M. Atkinson
Pedram Ghamisi
AAML
311
62
0
19 Dec 2022
Post-hoc Uncertainty Learning using a Dirichlet Meta-Model
Post-hoc Uncertainty Learning using a Dirichlet Meta-ModelAAAI Conference on Artificial Intelligence (AAAI), 2022
Maohao Shen
Yuheng Bu
P. Sattigeri
S. Ghosh
Subhro Das
G. Wornell
UQCVOODBDL
185
43
0
14 Dec 2022
Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture
  of Stochastic Experts
Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic ExpertsInternational Conference on Learning Representations (ICLR), 2022
Zhitong Gao
Yucong Chen
Chuyu Zhang
Xuming He
UQCV
200
11
0
14 Dec 2022
An Exploratory Study of AI System Risk Assessment from the Lens of Data
  Distribution and Uncertainty
An Exploratory Study of AI System Risk Assessment from the Lens of Data Distribution and Uncertainty
Zhijie Wang
Yuheng Huang
Lei Ma
Haruki Yokoyama
Susumu Tokumoto
Kazuki Munakata
214
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13 Dec 2022
Selective classification using a robust meta-learning approach
Selective classification using a robust meta-learning approach
Nishant Jain
Karthikeyan Shanmugam
Pradeep Shenoy
OOD
253
3
0
12 Dec 2022
Vicious Classifiers: Data Reconstruction Attack at Inference Time
Vicious Classifiers: Data Reconstruction Attack at Inference Time
Mohammad Malekzadeh
Deniz Gunduz
AAMLMIACV
146
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08 Dec 2022
Birds of a Feather Trust Together: Knowing When to Trust a Classifier
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Birds of a Feather Trust Together: Knowing When to Trust a Classifier via Adaptive Neighborhood Aggregation
Miao Xiong
Shen Li
Wenjie Feng
Ailin Deng
Jihai Zhang
Bryan Hooi
201
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0
29 Nov 2022
A Call to Reflect on Evaluation Practices for Failure Detection in Image
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A Call to Reflect on Evaluation Practices for Failure Detection in Image ClassificationInternational Conference on Learning Representations (ICLR), 2022
Paul F. Jaeger
Carsten T. Lüth
Lukas Klein
Till J. Bungert
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326
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28 Nov 2022
RbA: Segmenting Unknown Regions Rejected by All
RbA: Segmenting Unknown Regions Rejected by AllIEEE International Conference on Computer Vision (ICCV), 2022
Nazir Nayal
Mısra Yavuz
João F. Henriques
Fatma Guney
UQCV
203
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0
25 Nov 2022
Beyond Losses Reweighting: Empowering Multi-Task Learning via the Generalization Perspective
Beyond Losses Reweighting: Empowering Multi-Task Learning via the Generalization Perspective
Hoang Phan
Lam C. Tran
Ngoc N. Tran
Nhat Ho
Tuan Truong
Qi Lei
Nhat Ho
Dinh Q. Phung
Trung Le
703
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24 Nov 2022
Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection
  Tasks
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Neil Band
Tim G. J. Rudner
Qixuan Feng
Angelos Filos
Zachary Nado
Michael W. Dusenberry
Ghassen Jerfel
Dustin Tran
Y. Gal
OODUQCVBDL
148
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ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step
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Nik Dorndorf
Hieu M. Le
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280
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Introduction and Exemplars of Uncertainty Decomposition
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143
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Interpretable Self-Aware Neural Networks for Robust Trajectory
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Distribution-based Emotion Recognition in Conversation
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Understanding the properties and limitations of contrastive learning for
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