v1v2v3v4 (latest)

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

Title
Do Not Forget to Attend to Uncertainty while Mitigating Catastrophic ForgettingIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021 V. Kurmi Badri N. Patro Venkatesh Subramanian Vinay P. Namboodiri 218 25 0 03 Feb 2021
Low Complexity Approximate Bayesian Logistic Regression for Sparse Online LearningInternational Symposium on Information Theory (ISIT), 2021 G. Shamir Wojtek Szpankowski 124 6 0 28 Jan 2021
Dense outlier detection and open-set recognition based on training with noisy negative imagesImage and Vision Computing (IVC), 2021 Petra Bevandić Ivan Kreso Marin Orsic Sinisa Segvic 158 31 0 22 Jan 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised LearningInternational Conference on Learning Representations (ICLR), 2021 Mamshad Nayeem Rizve Kevin Duarte Yogesh S Rawat M. Shah 581 593 0 15 Jan 2021
Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain DetectionAAAI Conference on Artificial Intelligence (AAAI), 2021 Alexander Podolskiy Dmitry Lipin A. Bout Ekaterina Artemova Irina Piontkovskaya OODD 423 93 0 11 Jan 2021
A Novel Regression Loss for Non-Parametric Uncertainty Optimization Joachim Sicking Maram Akila Maximilian Pintz Tim Wirtz Asja Fischer Stefan Wrobel UQCV 103 3 0 07 Jan 2021
Multidimensional Uncertainty-Aware Evidential Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2020 Yibo Hu Yuzhe Ou Xujiang Zhao Jin-Hee Cho Feng Chen EDL UQCV AAML 231 30 0 26 Dec 2020
Detecting Road Obstacles by Erasing ThemIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 Krzysztof Lis S. Honari Pascal Fua Mathieu Salzmann UQCV 348 51 0 25 Dec 2020
Wasserstein DropoutMachine-mediated learning (ML), 2020 Joachim Sicking Maram Akila Maximilian Pintz Tim Wirtz Asja Fischer Stefanie Wrobel BDL OOD UQCV 209 2 0 23 Dec 2020
Learning Prediction Intervals for Model PerformanceAAAI Conference on Artificial Intelligence (AAAI), 2020 Benjamin Elder Matthew Arnold Anupama Murthi Jirí Navrátil 148 12 0 15 Dec 2020
Masksembles for Uncertainty EstimationComputer Vision and Pattern Recognition (CVPR), 2020 Nikita Durasov Timur M. Bagautdinov Pierre Baqué Pascal Fua OOD UQCV 223 98 0 15 Dec 2020
Semi-supervised novelty detection using ensembles with regularized disagreementConference on Uncertainty in Artificial Intelligence (UAI), 2020 A. Tifrea E. Stavarache Fanny Yang UQCV 233 6 0 10 Dec 2020
Know Your Limits: Uncertainty Estimation with ReLU Classifiers Fails at Reliable OOD DetectionConference on Uncertainty in Artificial Intelligence (UAI), 2020 Dennis Ulmer Giovanni Cina OODD 519 35 0 09 Dec 2020
The Hidden Uncertainty in a Neural Networks Activations Janis Postels Hermann Blum Yannick Strümpler Cesar Cadena Roland Siegwart Luc Van Gool Federico Tombari UQCV 461 24 0 05 Dec 2020
Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantificationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 Gianni Franchi Andrei Bursuc Emanuel Aldea Séverine Dubuisson Isabelle Bloch BDL UQCV 286 32 0 04 Dec 2020
Ensemble Distillation Approaches for Grammatical Error CorrectionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020 Yassir Fathullah Mark Gales A. Malinin 124 11 0 24 Nov 2020
Dense open-set recognition with synthetic outliers generated by Real NVPVISIGRAPP (VISIGRAPP), 2020 Matej Grcić Petra Bevandić Sinisa Segvic 317 43 0 22 Nov 2020
Neural Network Gaussian Process Considering Input Uncertainty for Composite Structures AssemblyIEEE/ASME transactions on mechatronics (TAM), 2020 Cheolhei Lee Jianguo Wu Wei Cao Xiaowei Yue 105 24 0 21 Nov 2020
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving Di Feng Ali Harakeh Steven Waslander Klaus C. J. Dietmayer AAML UQCV EDL 292 282 0 20 Nov 2020
DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty InferenceIEEE Transactions on Image Processing (TIP), 2020 Jiyang Xie Zhanyu Ma Jing-Hao Xue Guoqiang Zhang Jun Guo BDL 141 11 0 17 Nov 2020
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using UncertaintyAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2020 Umang Bhatt Javier Antorán Yunfeng Zhang Q. V. Liao P. Sattigeri ... L. Nachman R. Chunara Madhulika Srikumar Adrian Weller Alice Xiang 303 287 0 15 Nov 2020
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and ChallengesInformation Fusion (Inf. Fusion), 2020 Moloud Abdar Farhad Pourpanah Sadiq Hussain Dana Rezazadegan Tianpeng Liu ... Xiaochun Cao Abbas Khosravi U. Acharya V. Makarenkov S. Nahavandi BDL UQCV 915 2,260 0 12 Nov 2020
When Does Uncertainty Matter?: Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making S. McGrath Parth Mehta Alexandra Zytek Isaac Lage Himabindu Lakkaraju UD 266 27 0 12 Nov 2020
Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable?International Conference on Machine Learning (ICML), 2020 Anna-Kathrin Kopetzki Bertrand Charpentier Daniel Zügner Sandhya Giri Stephan Günnemann 299 52 0 28 Oct 2020
Hierarchical Gaussian Processes with Wasserstein-2 Kernels S. Popescu D. Sharp James H. Cole Ben Glocker 279 5 0 28 Oct 2020
Uncertainty Aware Semi-Supervised Learning on Graph DataNeural Information Processing Systems (NeurIPS), 2020 Xujiang Zhao Feng Chen Shu Hu Jin-Hee Cho UQCV EDL BDL 450 159 0 24 Oct 2020
Towards Maximizing the Representation Gap between In-Domain & Out-of-Distribution ExamplesNeural Information Processing Systems (NeurIPS), 2020 Jay Nandy Wynne Hsu Yang Deng UQCV 227 69 0 20 Oct 2020
Modeling Token-level Uncertainty to Learn Unknown Concepts in SLU via Calibrated Dirichlet Prior RNN Yilin Shen Wenhu Chen Hongxia Jin UQCV BDL 146 5 0 16 Oct 2020
Ensemble Distillation for Structured Prediction: Calibrated, Accurate, Fast-Choose Three Steven Reich David Mueller Nicholas Andrews BDL OOD UQCV 126 13 0 13 Oct 2020
Advanced Dropout: A Model-free Methodology for Bayesian Dropout OptimizationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 Jiyang Xie Zhanyu Ma and Jianjun Lei Guoqiang Zhang Jing-Hao Xue Zheng-Hua Tan Jun Guo BDL 128 52 0 11 Oct 2020
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Shouqing Yang OODD 1.0K 1,651 0 08 Oct 2020
Learnable Uncertainty under Laplace Approximations Agustinus Kristiadi Matthias Hein Philipp Hennig UQCV BDL 195 39 0 06 Oct 2020
Knowing What You Know: Calibrating Dialogue Belief State Distributions via EnsemblesFindings (Findings), 2020 Carel van Niekerk Michael Heck Christian Geishauser Hsien-Chin Lin Nurul Lubis Marco Moresi Milica Gavsić 166 8 0 06 Oct 2020
Understanding Classifier Mistakes with Generative Models Laetitia Shao Yang Song Stefano Ermon 77 4 0 05 Oct 2020
Bigeminal Priors Variational auto-encoder Xuming Ran Mingkun Xu Qi Xu Huihui Zhou Quanying Liu 133 3 0 05 Oct 2020
On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep LearningAAAI Conference on Artificial Intelligence (AAAI), 2020 Eoin M. Kenny Mark T. Keane 212 113 0 10 Sep 2020
Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings John Mitros A. Pakrashi Brian Mac Namee UQCV 276 2 0 03 Sep 2020
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates Lingkai Kong Jimeng Sun Chao Zhang UQCV 203 126 0 24 Aug 2020
Using Subjective Logic to Estimate Uncertainty in Multi-Armed Bandit Problems Fabio Massimo Zennaro A. Jøsang 97 4 0 17 Aug 2020
Real-Time Uncertainty Estimation in Computer Vision via Uncertainty-Aware Distribution Distillation Yichen Shen Zhilu Zhang M. Sabuncu Lin Sun UQCV 186 3 0 31 Jul 2020
Prediction Intervals: Split Normal Mixture from Quality-Driven Deep EnsemblesConference on Uncertainty in Artificial Intelligence (UAI), 2020 Tárik S. Salem H. Langseth H. Ramampiaro UQCV 209 41 0 19 Jul 2020
BaCOUn: Bayesian Classifers with Out-of-Distribution Uncertainty Théo Guénais Dimitris Vamvourellis Yaniv Yacoby Finale Doshi-Velez Weiwei Pan UQCV 144 13 0 12 Jul 2020
Contrastive Training for Improved Out-of-Distribution Detection Jim Winkens Rudy Bunel Abhijit Guha Roy Robert Stanforth Vivek Natarajan ... Alan Karthikesalingam Simon A. A. Kohl taylan. cemgil S. M. Ali Eslami Olaf Ronneberger OODD 346 258 0 10 Jul 2020
Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment Florin-Cristian Ghesu Bogdan Georgescu Awais Mansoor Y. Yoo Eli Gibson ... Ramandeep Singh S. Digumarthy Mannudeep K. Kalra Sasa Grbic Dorin Comaniciu UQCV EDL 120 64 0 08 Jul 2020
Diagnostic Uncertainty Calibration: Towards Reliable Machine Predictions in Medical Domain Takahiro Mimori Keiko Sasada H. Matsui Issei Sato UQCV 326 9 0 03 Jul 2020
Increasing Trustworthiness of Deep Neural Networks via Accuracy Monitoring Zhihui Shao Jianyi Yang Shaolei Ren HILM 178 12 0 03 Jul 2020
Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions Ahmed Alaa M. Schaar UD UQCV BDL TDI 170 56 0 29 Jun 2020
ATOM: Robustifying Out-of-distribution Detection Using Outlier Mining Jiefeng Chen Shouqing Yang Xi Wu Yingyu Liang S. Jha OODD 323 165 0 26 Jun 2020
Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift Alex J. Chan Ahmed Alaa Zhaozhi Qian M. Schaar UQCV BDL OOD 196 42 0 26 Jun 2020
Towards Better Performance and More Explainable Uncertainty for 3D Object Detection of Autonomous Vehicles Hujie Pan Zining Wang Wei Zhan Masayoshi Tomizuka UQCV 3DPC 167 27 0 22 Jun 2020