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Predictive Uncertainty Estimation via Prior Networks

Neural Information Processing Systems (NeurIPS), 2018

28 February 2018

Papers citing "Predictive Uncertainty Estimation via Prior Networks"

50 / 576 papers shown

Towards Open World Active Learning for 3D Object Detection

Zi Huang

224

16 Oct 2023

Entropy-MCMC: Sampling from Flat Basins with EaseInternational Conference on Learning Representations (ICLR), 2023

Bolian Li

Ruqi Zhang

560

09 Oct 2023

Skip-Plan: Procedure Planning in Instructional Videos via Condensed Action Space LearningIEEE International Conference on Computer Vision (ICCV), 2023

Lei Chen

Jie Zhou

178

01 Oct 2023

It HAS to be Subjective: Human Annotator Simulation via Zero-shot Density Estimation

226

30 Sep 2023

Denoising and Selecting Pseudo-Heatmaps for Semi-Supervised Human Pose EstimationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023

179

29 Sep 2023

Reliability Quantification of Deep Reinforcement Learning-based Control

Hitoshi Yoshioka

Hirotada Hashimoto

197

29 Sep 2023

FG-NeRF: Flow-GAN based Probabilistic Neural Radiance Field for Independence-Assumption-Free Uncertainty Estimation

250

28 Sep 2023

Uncertainty Quantification via Neural Posterior Principal ComponentsNeural Information Processing Systems (NeurIPS), 2023

257

27 Sep 2023

Dream the Impossible: Outlier Imagination with Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2023

313

23 Sep 2023

Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science ApplicationsArtificial Intelligence for the Earth Systems (AI4ES), 2023

...

BDL UD OOD UQCV EDL

321

22 Sep 2023

Meta OOD Learning for Continuously Adaptive OOD DetectionIEEE International Conference on Computer Vision (ICCV), 2023

277

21 Sep 2023

Flexible Visual Recognition by Evidential Modeling of Confusion and IgnoranceIEEE International Conference on Computer Vision (ICCV), 2023

227

14 Sep 2023

HAct: Out-of-Distribution Detection with Neural Net Activation Histograms

Sudeepta Mondal

G. Sundaramoorthi

OODD

156

09 Sep 2023

Continual Evidential Deep Learning for Out-of-Distribution Detection

207

06 Sep 2023

Deep Evidential Learning for Bayesian Quantile Regression

F. B. Hüttel

Filipe Rodrigues

Francisco Câmara Pereira

UD EDL BDL UQCV

166

21 Aug 2023

Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on RegressionAAAI Conference on Artificial Intelligence (AAAI), 2023

Jindong Gu

260

17 Aug 2023

Improving Anomaly Segmentation with Multi-Granularity Cross-Domain AlignmentACM Multimedia (ACM MM), 2023

309

16 Aug 2023

Empirical Optimal Risk to Quantify Model Trustworthiness for Failure Detection

Shuang Ao

Stefan Rueger

Advaith Siddharthan

209

06 Aug 2023

ELFNet: Evidential Local-global Fusion for Stereo MatchingIEEE International Conference on Computer Vision (ICCV), 2023

Jieming Lou

Weide Liu

Zhu Chen

Fayao Liu

Jun Cheng

233

01 Aug 2023

Dynamic ensemble selection based on Deep Neural Network Uncertainty Estimation for Adversarial Robustness

292

01 Aug 2023

Uncertainty-aware Unsupervised Multi-Object TrackingIEEE International Conference on Computer Vision (ICCV), 2023

217

28 Jul 2023

Understanding Silent Failures in Medical Image ClassificationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023

204

27 Jul 2023

Continuous Time Evidential Distributions for Irregular Time Series

272

25 Jul 2023

Function-Space Regularization for Deep Bayesian Classification

Jan Peters

207

12 Jul 2023

Reject option models comprising out-of-distribution detection

101

11 Jul 2023

Training Ensembles with Inliers and Outliers for Semi-supervised Active LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023

Vladan Stojnić

Zakaria Laskar

Giorgos Tolias

270

07 Jul 2023

Quantification of Uncertainty with Adversarial ModelsNeural Information Processing Systems (NeurIPS), 2023

283

06 Jul 2023

A Cosine Similarity-based Method for Out-of-Distribution Detection

Thanh Nguyen-Tang

23 Jun 2023

Robust Statistical Comparison of Random Variables with Locally Varying Scale of MeasurementConference on Uncertainty in Artificial Intelligence (UAI), 2023

181

22 Jun 2023

Learn to Accumulate Evidence from All Training Samples: Theory and PracticeInternational Conference on Machine Learning (ICML), 2023

Deepshikha Pandey

Qi Yu

EDL

240

19 Jun 2023

Balanced Energy Regularization Loss for Out-of-distribution DetectionComputer Vision and Pattern Recognition (CVPR), 2023

Hyunjun Choi

Hawook Jeong

OODD

287

18 Jun 2023

Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and DetectionInternational Conference on Machine Learning (ICML), 2023

311

15 Jun 2023

Estimating the Uncertainty in Emotion Attributes using Deep Evidential RegressionAnnual Meeting of the Association for Computational Linguistics (ACL), 2023

125

11 Jun 2023

CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language ModelsConference on Uncertainty in Artificial Intelligence (UAI), 2023

Jiazheng Li

ZHAOYUE SUN

Bin Liang

Lin Gui

Yulan He

218

06 Jun 2023

Multiple output samples per input in a single-output Gaussian process

J. H. M. Wong

Huayun Zhang

Nancy F. Chen

196

05 Jun 2023

Uncertainty in Natural Language Processing: Sources, Quantification, and Applications

262

05 Jun 2023

Provable Dynamic Fusion for Low-Quality Multimodal DataInternational Conference on Machine Learning (ICML), 2023

322

106

03 Jun 2023

Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models

Zhen Lin

Shubhendu Trivedi

Jimeng Sun

HILM

535

230

30 May 2023

E-NER: Evidential Deep Learning for Trustworthy Named Entity RecognitionAnnual Meeting of the Association for Computational Linguistics (ACL), 2023

238

29 May 2023

SR-OOD: Out-of-Distribution Detection via Sample Repairing

234

26 May 2023

Hybrid Energy Based Model in the Feature Space for Out-of-Distribution DetectionInternational Conference on Machine Learning (ICML), 2023

462

26 May 2023

Sampling-based Uncertainty Estimation for an Instance Segmentation Network

172

24 May 2023

Gaussian Latent Representations for Uncertainty Estimation using Mahalanobis Distance in Deep Classifiers

212

23 May 2023

MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion GenerationInternational Conference on Machine Learning (ICML), 2023

193

11 May 2023

Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A TutorialMechanical systems and signal processing (MSSP), 2023

Olga Fink

275

120

07 May 2023

Calibration Error Estimation Using Fuzzy BinningAnnual Conference on the North American Fuzzy Information Processing Society (NAFIPS), 2023

Geetanjali Bihani

Julia Taylor Rayz

414

30 Apr 2023

Uncertainty Aware Neural Network from Similarity and SensitivityApplied Soft Computing (Appl. Soft Comput.), 2023

...

226

27 Apr 2023

Compensation Learning in Semantic Segmentation

212

26 Apr 2023

ProPanDL: A Modular Architecture for Uncertainty-Aware Panoptic SegmentationCanadian Conference on Computer and Robot Vision (CRV), 2023

Jacob Deery

Chang Won Lee

Steven Waslander

168

17 Apr 2023

Exploring and Exploiting Uncertainty for Incomplete Multi-View ClassificationComputer Vision and Pattern Recognition (CVPR), 2023

703

11 Apr 2023