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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
A view on model misspecification in uncertainty quantification
A view on model misspecification in uncertainty quantification
Yuko Kato
David Tax
Marco Loog
276
4
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UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for
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UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage ClassificationNeural Information Processing Systems (NeurIPS), 2022
Yanbo Xu
Alind Khare
Glenn Matlin
Monish Ramadoss
Rishikesan Kamaleswaran
Chao Zhang
Alexey Tumanov
249
3
0
26 Oct 2022
Bridging Machine Learning and Sciences: Opportunities and Challenges
Bridging Machine Learning and Sciences: Opportunities and Challenges
Taoli Cheng
UQCVOODAI4CE
205
2
0
24 Oct 2022
Falsehoods that ML researchers believe about OOD detection
Falsehoods that ML researchers believe about OOD detection
Andi Zhang
Damon J. Wischik
OODD
272
7
0
23 Oct 2022
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the
  Impact of Method & Data Scarcity
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data ScarcityConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Dennis Ulmer
J. Frellsen
Christian Hardmeier
444
31
0
20 Oct 2022
Enhancing Out-of-Distribution Detection in Natural Language
  Understanding via Implicit Layer Ensemble
Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer EnsembleConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Hyunsoo Cho
Choonghyun Park
Jaewoo Kang
Kang Min Yoo
Taeuk Kim
Sang-goo Lee
OODD
248
10
0
20 Oct 2022
Confidence estimation of classification based on the distribution of the
  neural network output layer
Confidence estimation of classification based on the distribution of the neural network output layer
A. Taha
Leonhard Hennig
Petr Knoth
UQCV
303
15
0
14 Oct 2022
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection
OpenOOD: Benchmarking Generalized Out-of-Distribution DetectionNeural Information Processing Systems (NeurIPS), 2022
Jingkang Yang
Pengyun Wang
Dejian Zou
Zitang Zhou
Kun Ding
...
Kaiyang Zhou
Wayne Zhang
Dan Hendrycks
Shouqing Yang
Ziwei Liu
OODD
283
321
0
13 Oct 2022
JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional
  Networks
JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional NetworksKnowledge Discovery and Data Mining (KDD), 2022
Jian Kang
Qinghai Zhou
Hanghang Tong
UQCV
236
22
0
12 Oct 2022
Extracting or Guessing? Improving Faithfulness of Event Temporal
  Relation Extraction
Extracting or Guessing? Improving Faithfulness of Event Temporal Relation ExtractionConference of the European Chapter of the Association for Computational Linguistics (EACL), 2022
Haoyu Wang
Hongming Zhang
Yuqian Deng
Jacob R. Gardner
Dan Roth
Muhao Chen
181
22
0
10 Oct 2022
How to Enable Uncertainty Estimation in Proximal Policy Optimization
How to Enable Uncertainty Estimation in Proximal Policy Optimization
Eugene Bykovets
Yannick Metz
Mennatallah El-Assady
Daniel A. Keim
J. M. Buhmann
UQCV
202
2
0
07 Oct 2022
Uncertainty Estimation for Multi-view Data: The Power of Seeing the
  Whole Picture
Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole PictureNeural Information Processing Systems (NeurIPS), 2022
M. Jung
He Zhao
Joanna Dipnall
Lan Du
Lan Du
UQCVEDL
193
14
0
06 Oct 2022
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation ModelsNeural Information Processing Systems (NeurIPS), 2022
Chen Liang
Wenguan Wang
Jiaxu Miao
Yi Yang
VLM
270
157
0
05 Oct 2022
GaIA: Graphical Information Gain based Attention Network for Weakly
  Supervised Point Cloud Semantic Segmentation
GaIA: Graphical Information Gain based Attention Network for Weakly Supervised Point Cloud Semantic SegmentationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Min Seok Lee
Seok Woo Yang
S. W. Han
3DPC
173
26
0
02 Oct 2022
End-to-End Label Uncertainty Modeling in Speech Emotion Recognition
  using Bayesian Neural Networks and Label Distribution Learning
End-to-End Label Uncertainty Modeling in Speech Emotion Recognition using Bayesian Neural Networks and Label Distribution LearningIEEE Transactions on Affective Computing (IEEE TAC), 2022
N. Prabhu
N. Lehmann-Willenbrock
Timo Gerkmann
UQCV
167
11
0
30 Sep 2022
Transfer Learning with Pretrained Remote Sensing Transformers
Transfer Learning with Pretrained Remote Sensing Transformers
A. Fuller
K. Millard
J.R. Green
214
11
0
28 Sep 2022
Distribution Calibration for Out-of-Domain Detection with Bayesian
  Approximation
Distribution Calibration for Out-of-Domain Detection with Bayesian ApproximationInternational Conference on Computational Linguistics (COLING), 2022
Yanan Wu
Zhiyuan Zeng
Keqing He
Yutao Mou
Pei Wang
Weiran Xu
206
9
0
14 Sep 2022
TEDL: A Two-stage Evidential Deep Learning Method for Classification
  Uncertainty Quantification
TEDL: A Two-stage Evidential Deep Learning Method for Classification Uncertainty Quantification
Xue Li
Wei Shen
Denis Xavier Charles
UQCVEDL
219
3
0
12 Sep 2022
Quantifying Aleatoric and Epistemic Uncertainty in Machine Learning: Are
  Conditional Entropy and Mutual Information Appropriate Measures?
Quantifying Aleatoric and Epistemic Uncertainty in Machine Learning: Are Conditional Entropy and Mutual Information Appropriate Measures?Conference on Uncertainty in Artificial Intelligence (UAI), 2022
Lisa Wimmer
Yusuf Sale
Paul Hofman
Bern Bischl
Eyke Hüllermeier
PERUD
352
115
0
07 Sep 2022
Uncertainty-Induced Transferability Representation for Source-Free
  Unsupervised Domain Adaptation
Uncertainty-Induced Transferability Representation for Source-Free Unsupervised Domain AdaptationIEEE Transactions on Image Processing (IEEE TIP), 2022
Jiangbo Pei
Zhuqing Jiang
Aidong Men
Liang Chen
Yang Liu
Qingchao Chen
237
33
0
30 Aug 2022
Some Supervision Required: Incorporating Oracle Policies in
  Reinforcement Learning via Epistemic Uncertainty Metrics
Some Supervision Required: Incorporating Oracle Policies in Reinforcement Learning via Epistemic Uncertainty Metrics
Jun Jet Tai
Jordan Terry
M. Innocente
J. Brusey
N. Horri
285
3
0
22 Aug 2022
Robust Node Classification on Graphs: Jointly from Bayesian Label
  Transition and Topology-based Label Propagation
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label PropagationInternational Conference on Information and Knowledge Management (CIKM), 2022
Jun Zhuang
M. Hasan
197
20
0
21 Aug 2022
Confidence-Guided Learning Process for Continuous Classification of Time
  Series
Confidence-Guided Learning Process for Continuous Classification of Time SeriesInternational Conference on Information and Knowledge Management (CIKM), 2022
Chenxi Sun
Moxian Song
D. Cai
B. Zhang
linda Qiao
Hongyan Li
146
6
0
14 Aug 2022
Interpretable Uncertainty Quantification in AI for HEP
Interpretable Uncertainty Quantification in AI for HEP
Thomas Y. Chen
B. Dey
A. Ghosh
Michael Kagan
Brian D. Nord
Nesar Ramachandra
208
13
0
05 Aug 2022
OpenCon: Open-world Contrastive Learning
OpenCon: Open-world Contrastive Learning
Yiyou Sun
Shouqing Yang
VLMSSLDRL
332
51
0
04 Aug 2022
Success of Uncertainty-Aware Deep Models Depends on Data Manifold
  Geometry
Success of Uncertainty-Aware Deep Models Depends on Data Manifold Geometry
M. Penrod
Harrison Termotto
Varshini Reddy
Jiayu Yao
Finale Doshi-Velez
Weiwei Pan
AAMLOOD
204
1
0
02 Aug 2022
TRUST-LAPSE: An Explainable and Actionable Mistrust Scoring Framework
  for Model Monitoring
TRUST-LAPSE: An Explainable and Actionable Mistrust Scoring Framework for Model MonitoringIEEE Transactions on Artificial Intelligence (IEEE TAI), 2022
Nandita Bhaskhar
D. Rubin
Christopher Lee-Messer
241
10
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22 Jul 2022
Latent Discriminant deterministic Uncertainty
Latent Discriminant deterministic UncertaintyEuropean Conference on Computer Vision (ECCV), 2022
Gianni Franchi
Xuanlong Yu
Andrei Bursuc
Emanuel Aldea
Séverine Dubuisson
David Filliat
UQCV
213
18
0
20 Jul 2022
Instance-Aware Observer Network for Out-of-Distribution Object
  Segmentation
Instance-Aware Observer Network for Out-of-Distribution Object Segmentation
Victor Besnier
Andrei Bursuc
David Picard
Alexandre Briot
253
1
0
18 Jul 2022
Uncertainty Calibration in Bayesian Neural Networks via Distance-Aware
  Priors
Uncertainty Calibration in Bayesian Neural Networks via Distance-Aware Priors
Gianluca Detommaso
Alberto Gasparin
A. Wilson
Cédric Archambeau
UQCVBDL
261
5
0
17 Jul 2022
Augmenting Softmax Information for Selective Classification with
  Out-of-Distribution Data
Augmenting Softmax Information for Selective Classification with Out-of-Distribution DataAsian Conference on Computer Vision (ACCV), 2022
Guoxuan Xia
C. Bouganis
OODD
289
31
0
15 Jul 2022
Sample-dependent Adaptive Temperature Scaling for Improved Calibration
Sample-dependent Adaptive Temperature Scaling for Improved CalibrationAAAI Conference on Artificial Intelligence (AAAI), 2022
Thomas Joy
Francesco Pinto
Ser-Nam Lim
Juil Sock
P. Dokania
UQCV
252
45
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13 Jul 2022
Uncertainty-Aware Learning Against Label Noise on Imbalanced Datasets
Uncertainty-Aware Learning Against Label Noise on Imbalanced DatasetsAAAI Conference on Artificial Intelligence (AAAI), 2022
Yingsong Huang
Bing Bai
Shengwei Zhao
Kun Bai
Haiwei Yang
NoLa
180
63
0
12 Jul 2022
What is Flagged in Uncertainty Quantification? Latent Density Models for
  Uncertainty Categorization
What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty CategorizationNeural Information Processing Systems (NeurIPS), 2022
Hao Sun
B. V. Breugel
Jonathan Crabbé
Nabeel Seedat
M. Schaar
232
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11 Jul 2022
DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition
DenseHybrid: Hybrid Anomaly Detection for Dense Open-set RecognitionEuropean Conference on Computer Vision (ECCV), 2022
Matej Grcić
Petra Bevandić
Sinivsa vSegvić
156
65
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06 Jul 2022
Incorporating functional summary information in Bayesian neural networks
  using a Dirichlet process likelihood approach
Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approachInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Vishnu Raj
Tianyu Cui
Markus Heinonen
Pekka Marttinen
UQCVBDL
154
1
0
04 Jul 2022
Left Heavy Tails and the Effectiveness of the Policy and Value Networks
  in DNN-based best-first search for Sokoban Planning
Left Heavy Tails and the Effectiveness of the Policy and Value Networks in DNN-based best-first search for Sokoban PlanningNeural Information Processing Systems (NeurIPS), 2022
Dieqiao Feng
Daniel Schwalbe-Koda
B. Selman
227
3
0
28 Jun 2022
Distributional Gaussian Processes Layers for Out-of-Distribution
  Detection
Distributional Gaussian Processes Layers for Out-of-Distribution Detection
S. Popescu
D. Sharp
James H. Cole
Konstantinos Kamnitsas
Ben Glocker
OOD
282
1
0
27 Jun 2022
Towards OOD Detection in Graph Classification from Uncertainty
  Estimation Perspective
Towards OOD Detection in Graph Classification from Uncertainty Estimation Perspective
Gleb Bazhenov
Sergei Ivanov
Maxim Panov
Alexey Zaytsev
Evgeny Burnaev
UQCV
231
13
0
21 Jun 2022
Dual Representation Learning for Out-of-Distribution Detection
Dual Representation Learning for Out-of-Distribution Detection
Zhilin Zhao
LongBing Cao
232
6
0
19 Jun 2022
Out-of-distribution Detection by Cross-class Vicinity Distribution of
  In-distribution Data
Out-of-distribution Detection by Cross-class Vicinity Distribution of In-distribution DataIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Zhilin Zhao
LongBing Cao
Kun-Yu Lin
OOD
191
5
0
19 Jun 2022
Supervision Adaptation Balancing In-distribution Generalization and
  Out-of-distribution Detection
Supervision Adaptation Balancing In-distribution Generalization and Out-of-distribution DetectionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Zhilin Zhao
LongBing Cao
Kun-Yu Lin
233
7
0
19 Jun 2022
Gray Learning from Non-IID Data with Out-of-distribution Samples
Gray Learning from Non-IID Data with Out-of-distribution SamplesIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Zhilin Zhao
LongBing Cao
Changbao Wang
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160
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19 Jun 2022
A Survey on Uncertainty Reasoning and Quantification for Decision
  Making: Belief Theory Meets Deep Learning
A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning
Zhen Guo
Zelin Wan
Qisheng Zhang
Xujiang Zhao
F. Chen
Jin-Hee Cho
Qi Zhang
Lance M. Kaplan
Dong-Ho Jeong
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263
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BSM loss: A superior way in modeling aleatory uncertainty of
  fine_grained classification
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Shuang Ge
Kehong Yuan
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115
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Functional Ensemble Distillation
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Coby Penso
Idan Achituve
Ethan Fetaya
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168
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Disentangling Epistemic and Aleatoric Uncertainty in Reinforcement
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Disentangling Epistemic and Aleatoric Uncertainty in Reinforcement Learning
Bertrand Charpentier
Ransalu Senanayake
Mykel Kochenderfer
Stephan Günnemann
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209
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FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear
  Modulation
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Mehmet Özgür Türkoglu
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Stefano Dáronco
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577
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Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty
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Christoph Koller
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150
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The Unreasonable Effectiveness of Deep Evidential Regression
The Unreasonable Effectiveness of Deep Evidential RegressionAAAI Conference on Artificial Intelligence (AAAI), 2022
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J. Gawlikowski
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640
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0
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