v1v2v3 (latest)

Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles

5 December 2016

Balaji Lakshminarayanan

Alexander Pritzel

Papers citing "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles"

50 / 3,224 papers shown

Title
Goal Misgeneralization: Why Correct Specifications Aren't Enough For Correct Goals Rohin Shah Vikrant Varma Ramana Kumar Mary Phuong Victoria Krakovna J. Uesato Zachary Kenton 99 72 0 04 Oct 2022
Perspective Aware Road Obstacle Detection Krzysztof Lis S. Honari Pascal Fua Mathieu Salzmann 126 6 0 04 Oct 2022
Uncertainty-Aware Lidar Place Recognition in Novel Environments Keita Mason Joshua Knights Milad Ramezani Peyman Moghadam Dimity Miller 94 2 0 04 Oct 2022
On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks Huimin Zeng Zhenrui Yue Yang Zhang Ziyi Kou Lanyu Shang Dong Wang OOD AAML 80 7 0 03 Oct 2022
Automatic Neural Network Hyperparameter Optimization for Extrapolation: Lessons Learned from Visible and Near-Infrared Spectroscopy of Mango Fruit Matthew C. Dirks David Poole 36 16 0 03 Oct 2022
Beyond Bayes-optimality: meta-learning what you know you don't know Jordi Grau-Moya Grégoire Delétang M. Kunesch Tim Genewein Elliot Catt ... Jane X. Wang Marcus Hutter Christopher Summerfield Shane Legg Pedro A. Ortega 44 1 0 30 Sep 2022
Out-of-Distribution Detection and Selective Generation for Conditional Language Models Jie Jessie Ren Jiaming Luo Yao-Min Zhao Kundan Krishna Mohammad Saleh Balaji Lakshminarayanan Peter J. Liu OODD 129 114 0 30 Sep 2022
Leveraging variational autoencoders for multiple data imputation Breeshey Roskams-Hieter J. Wells S. Wade DRL 54 5 0 30 Sep 2022
Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel Sungyub Kim Si-hun Park Kyungsu Kim Eunho Yang BDL 86 5 0 30 Sep 2022
Ensemble Reinforcement Learning in Continuous Spaces -- A Hierarchical Multi-Step Approach for Policy Training Gang Chen Victoria Huang OffRL 111 1 0 29 Sep 2022
Out-of-Distribution Detection for LiDAR-based 3D Object Detection Chengjie Huang Van Duong Nguyen Vahdat Abdelzad Christopher Gus Mannes Luke Rowe Benjamin Therien Rick Salay Krzysztof Czarnecki OODD 3DPC 202 18 0 28 Sep 2022
Generative machine learning methods for multivariate ensemble post-processing Jieyu Chen Tim Janke Florian Steinke Sebastian Lerch 112 31 0 26 Sep 2022
Strong Transferable Adversarial Attacks via Ensembled Asymptotically Normal Distribution Learning Zhengwei Fang Rui Wang Tao Huang L. Jing AAML 73 8 0 24 Sep 2022
Raising the Bar on the Evaluation of Out-of-Distribution Detection Jishnu Mukhoti Tsung-Yu Lin Bor-Chun Chen Ashish Shah Philip Torr P. Dokania Ser-Nam Lim OODD 52 4 0 24 Sep 2022
Oracle Analysis of Representations for Deep Open Set Detection Risheek Garrepalli AAML 117 5 0 22 Sep 2022
Training neural network ensembles via trajectory sampling Jamie F. Mair Dominic C. Rose J. P. Garrahan 58 2 0 22 Sep 2022
Uncertainty-aware Perception Models for Off-road Autonomous Unmanned Ground Vehicles Zhaoyuan Yang Y. Tan Shiraj Sen Johan Reimann John N. Karigiannis Mohammed A. Yousefhussien Nurali Virani 52 5 0 22 Sep 2022
Beyond Voxel Prediction Uncertainty: Identifying brain lesions you can trust Benjamin Lambert Florence Forbes Senan Doyle A. Tucholka M. Dojat UQCV MedIm 63 6 0 22 Sep 2022
Batch Bayesian optimisation via density-ratio estimation with guarantees Rafael Oliveira Louis C. Tiao Fabio Ramos 111 7 0 22 Sep 2022
Variational Inference for Infinitely Deep Neural Networks Achille Nazaret David M. Blei BDL 98 11 0 21 Sep 2022
Extremely Simple Activation Shaping for Out-of-Distribution Detection Andrija Djurisic Nebojsa Bozanic Arjun Ashok Rosanne Liu OODD 232 167 0 20 Sep 2022
Seq2Seq Surrogates of Epidemic Models to Facilitate Bayesian Inference G. Charles Timothy M Wolock P. Winskill A. Ghani Samir Bhatt Seth Flaxman 21 4 0 20 Sep 2022
Probabilistic Dalek -- Emulator framework with probabilistic prediction for supernova tomography W. E. Kerzendorf Nutan Chen Jack O'Brien J. Buchner Patrick van der Smagt MedIm 29 0 0 20 Sep 2022
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup Zongbo Han Zhipeng Liang Fan Yang Liu Liu Lanqing Li Yatao Bian P. Zhao Bing Wu Changqing Zhang Jianhua Yao 118 36 0 19 Sep 2022
Two-stage Modeling for Prediction with Confidence Dangxing Chen OODD OOD 46 1 0 19 Sep 2022
Density-aware NeRF Ensembles: Quantifying Predictive Uncertainty in Neural Radiance Fields Niko Sünderhauf Jad Abou-Chakra Dimity Miller UQCV 139 55 0 19 Sep 2022
Deep Convolutional Architectures for Extrapolative Forecast in Time-dependent Flow Problems Pratyush Bhatt Y. Kumar A. Soulaïmani AI4TS AI4CE 41 6 0 18 Sep 2022
Sample-based Uncertainty Quantification with a Single Deterministic Neural Network T. Kanazawa Chetan Gupta UQCV 82 4 0 17 Sep 2022
Linking Neural Collapse and L2 Normalization with Improved Out-of-Distribution Detection in Deep Neural Networks J. Haas William Yolland B. Rabus OODD 103 20 0 17 Sep 2022
Uncertainty Quantification of Collaborative Detection for Self-Driving Sanbao Su Yiming Li Sihong He Songyang Han Chen Feng Caiwen Ding Fei Miao 174 57 0 16 Sep 2022
On the Relation between Sensitivity and Accuracy in In-context Learning Yanda Chen Chen Zhao Zhou Yu Kathleen McKeown He He 270 80 0 16 Sep 2022
Optimistic Curiosity Exploration and Conservative Exploitation with Linear Reward Shaping Hao Sun Lei Han Rui Yang Xiaoteng Ma Jian Guo Bolei Zhou OffRL OnRL 80 11 0 15 Sep 2022
Vision-Based Uncertainty-Aware Motion Planning based on Probabilistic Semantic Segmentation Ralf Römer Armin Lederer Samuel Tesfazgi Sandra Hirche 52 2 0 14 Sep 2022
TEDL: A Two-stage Evidential Deep Learning Method for Classification Uncertainty Quantification Xue Li Wei Shen Denis Xavier Charles UQCV EDL 92 3 0 12 Sep 2022
Calibrating Segmentation Networks with Margin-based Label Smoothing Balamurali Murugesan Bingyuan Liu Adrian Galdran Ismail Ben Ayed Jose Dolz UQCV 60 0 0 09 Sep 2022
Fine-grain Inference on Out-of-Distribution Data with Hierarchical Classification Randolph Linderman Jingyang Zhang Nathan Inkawhich H. Li Yiran Chen OODD 175 7 0 09 Sep 2022
Conformal Methods for Quantifying Uncertainty in Spatiotemporal Data: A Survey S. Sun AI4CE 129 11 0 08 Sep 2022
Implicit Full Waveform Inversion with Deep Neural Representation Jian Sun K. Innanen AI4CE 70 37 0 08 Sep 2022
Quantifying Aleatoric and Epistemic Uncertainty in Machine Learning: Are Conditional Entropy and Mutual Information Appropriate Measures? Lisa Wimmer Yusuf Sale Paul Hofman Bern Bischl Eyke Hüllermeier PER UD 112 77 0 07 Sep 2022
Improving Out-of-Distribution Detection via Epistemic Uncertainty Adversarial Training Derek Everett A. Nguyen Luke E. Richards Edward Raff OODD 61 2 0 05 Sep 2022
Investigating the Impact of Model Misspecification in Neural Simulation-based Inference Patrick W Cannon Daniel Ward Sebastian M. Schmon 83 36 0 05 Sep 2022
The Neural Process Family: Survey, Applications and Perspectives Saurav Jha Dong Gong Xuesong Wang Richard Turner L. Yao BDL 166 24 0 01 Sep 2022
Identifying Out-of-Distribution Samples in Real-Time for Safety-Critical 2D Object Detection with Margin Entropy Loss Yannik Blei Nicolas Jourdan Nils Gählert OODD 62 3 0 01 Sep 2022
Bayesian Optimization-based Combinatorial Assignment Jakob Weissteiner Jakob Heiss Julien N. Siems Sven Seuken 71 11 0 31 Aug 2022
Correct-by-Construction Runtime Enforcement in AI -- A Survey Bettina Könighofer Roderick Bloem Rüdiger Ehlers Christian Pek 60 11 0 30 Aug 2022
Distributed Ensembles of Reinforcement Learning Agents for Electricity Control Pierrick Pochelu S. Petiton B. Conche AI4CE 60 2 0 30 Aug 2022
Probing Contextual Diversity for Dense Out-of-Distribution Detection Silvio Galesso M. A. Bravo Mehdi Naouar Thomas Brox 53 4 0 30 Aug 2022
Weakly Supervised Faster-RCNN+FPN to classify animals in camera trap images Pierrick Pochelu Clara Erard Philippe Cordier S. Petiton B. Conche 30 1 0 30 Aug 2022
An efficient and flexible inference system for serving heterogeneous ensembles of deep neural networks Pierrick Pochelu S. Petiton B. Conche 47 2 0 30 Aug 2022
Uncertainty-Induced Transferability Representation for Source-Free Unsupervised Domain Adaptation Jiangbo Pei Zhuqing Jiang Aidong Men Liang Chen Yang Liu Qingchao Chen 77 29 0 30 Aug 2022