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
Aligning Robot and Human Representations Andreea Bobu Andi Peng Pulkit Agrawal Julie A. Shah Anca D. Dragan 129 11 0 03 Feb 2023
Generalized Uncertainty of Deep Neural Networks: Taxonomy and Applications Chengyu Dong OOD UQCV BDL AI4CE 133 0 0 02 Feb 2023
Benchmarking Probabilistic Deep Learning Methods for License Plate Recognition Franziska Schirrmacher Benedikt Lorch Anatol Maier Christian Riess UQCV 78 6 0 02 Feb 2023
Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval Frederik Warburg M. Miani Silas Brack Søren Hauberg UQCV BDL 47 7 0 02 Feb 2023
Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling Lucas Berry David Meger 71 8 0 02 Feb 2023
Pathologies of Predictive Diversity in Deep Ensembles Taiga Abe E. Kelly Buchanan Geoff Pleiss John P. Cunningham UQCV 152 14 0 01 Feb 2023
Scaling Laws for Hyperparameter Optimization Arlind Kadra Maciej Janowski Martin Wistuba Josif Grabocka 98 10 0 01 Feb 2023
Anti-Exploration by Random Network Distillation Alexander Nikulin Vladislav Kurenkov Denis Tarasov Sergey Kolesnikov 83 31 0 31 Jan 2023
Misspecification-robust Sequential Neural Likelihood for Simulation-based Inference Ryan P. Kelly David J. Nott David T. Frazier D. Warne Christopher C. Drovandi 87 13 0 31 Jan 2023
Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning Chaoxi Niu Guansong Pang Ling-Hao Chen 106 9 0 31 Jan 2023
Massively Scaling Heteroscedastic Classifiers Mark Collier Rodolphe Jenatton Basil Mustafa N. Houlsby Jesse Berent E. Kokiopoulou 78 9 0 30 Jan 2023
Deep networks for system identification: a Survey G. Pillonetto Aleksandr Aravkin Daniel Gedon L. Ljung Antônio H. Ribeiro Thomas B. Schon OOD 109 45 0 30 Jan 2023
Reliable Federated Disentangling Network for Non-IID Domain Feature Ming Wang Kai-An Yu Chun-Mei Feng Yiming Qian K. Zou Lianyu Wang Rick Siow Mong Goh Yong-Jin Liu Huazhu Fu OOD 76 1 0 30 Jan 2023
Fine-Tuning Deteriorates General Textual Out-of-Distribution Detection by Distorting Task-Agnostic Features Sishuo Chen Wenkai Yang Xiaohan Bi Xu Sun OODD 63 15 0 30 Jan 2023
Towards Inference Efficient Deep Ensemble Learning Ziyue Li Kan Ren Yifan Yang Xinyang Jiang Yuqing Yang Dongsheng Li BDL 62 14 0 29 Jan 2023
Joint Training of Deep Ensembles Fails Due to Learner Collusion Alan Jeffares Tennison Liu Jonathan Crabbé M. Schaar FedML 148 19 0 26 Jan 2023
Improving Open-Set Semi-Supervised Learning with Self-Supervision Erik Wallin Lennart Svensson Fredrik Kahl Lars Hammarstrand 121 9 0 24 Jan 2023
Hybrid Open-set Segmentation with Synthetic Negative Data Matej Grcić Sinivsa vSegvić 93 6 0 19 Jan 2023
MooseNet: A Trainable Metric for Synthesized Speech with a PLDA Module Ondvrej Plátek Ondrej Dusek 56 2 0 17 Jan 2023
On the role of Model Uncertainties in Bayesian Optimization Jonathan Foldager Mikkel Jordahn Lars Kai Hansen Michael Riis Andersen 175 5 0 14 Jan 2023
Jointly Learning Consistent Causal Abstractions Over Multiple Interventional Distributions Fabio Massimo Zennaro Máté Drávucz G. Apachitei W. D. Widanage Theodoros Damoulas 86 15 0 14 Jan 2023
PRUDEX-Compass: Towards Systematic Evaluation of Reinforcement Learning in Financial Markets Shuo Sun Molei Qin Xinrun Wang Bo An FaML OffRL AIFin 88 5 0 14 Jan 2023
Scalable Batch Acquisition for Deep Bayesian Active Learning Aleksandr Rubashevskii Daria A. Kotova Maxim Panov BDL 79 3 0 13 Jan 2023
Towards Dependable Autonomous Systems Based on Bayesian Deep Learning Components F. Arnez H. Espinoza A. Radermacher F. Terrier UQCV 73 5 0 12 Jan 2023
Uncertainty Estimation based on Geometric Separation Gabriella Chouraqui L. Cohen Gil Einziger Liel Leman 67 0 0 11 Jan 2023
Failure Detection for Motion Prediction of Autonomous Driving: An Uncertainty Perspective Wenbo Shao Yan Xu Liang Peng Jun Li Hong Wang 81 17 0 11 Jan 2023
How Does Traffic Environment Quantitatively Affect the Autonomous Driving Prediction? Wenbo Shao Yan Xu Jun Yu Li Chen Lv Weida Wang Hong Wang 86 9 0 11 Jan 2023
A Unified Theory of Diversity in Ensemble Learning Danny Wood Tingting Mu Andrew M. Webb Henry W. J. Reeve M. Luján Gavin Brown UQCV 126 49 0 10 Jan 2023
Explainable, Physics Aware, Trustworthy AI Paradigm Shift for Synthetic Aperture Radar Mihai Datcu Zhongling Huang Andrei Anghel Juanping Zhao R. Cacoveanu 64 0 0 09 Jan 2023
Weakly Supervised Joint Whole-Slide Segmentation and Classification in Prostate Cancer Pushpak Pati Guillaume Jaume Zeineb Ayadi Kevin Thandiackal Behzad Bozorgtabar M. Gabrani O. Goksel 76 19 0 07 Jan 2023
PEAK: Explainable Privacy Assistant through Automated Knowledge Extraction Gonul Ayci Arzucan Özgür Murat cSensoy P. Yolum 85 1 0 05 Jan 2023
Benchmarks and Algorithms for Offline Preference-Based Reward Learning Daniel Shin Anca Dragan Daniel S. Brown OffRL 85 56 0 03 Jan 2023
Benchmarking common uncertainty estimation methods with histopathological images under domain shift and label noise H. A. Mehrtens Alexander Kurz Tabea-Clara Bucher T. Brinker OOD UQCV 277 11 0 03 Jan 2023
Credible Remote Sensing Scene Classification Using Evidential Fusion on Aerial-Ground Dual-view Images Kun Zhao Qian Gao Siyuan Hao Jie Sun Lijian Zhou EDL 72 11 0 02 Jan 2023
Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated Uncertainty K. Zou Yidi Chen Ling Huang Xuedong Yuan Xiaojing Shen Meng Wang Rick Siow Mong Goh Yong-Jin Liu Huazhu Fu UQCV 90 4 0 01 Jan 2023
Self-Activating Neural Ensembles for Continual Reinforcement Learning Sam Powers Eliot Xing Abhinav Gupta KELM CLL 86 5 0 31 Dec 2022
Detection of out-of-distribution samples using binary neuron activation patterns Bartlomiej Olber Krystian Radlak A. Popowicz Michal Szczepankiewicz K. Chachula OODD 58 17 0 29 Dec 2022
A System-Level View on Out-of-Distribution Data in Robotics Rohan Sinha Apoorva Sharma Somrita Banerjee T. Lew Rachel Luo Spencer M. Richards Yixiao Sun Edward Schmerling Marco Pavone UQCV 99 26 0 28 Dec 2022
On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations Tim G. J. Rudner Cong Lu Michael A. Osborne Yarin Gal Yee Whye Teh OffRL 91 27 0 28 Dec 2022
Annealing Double-Head: An Architecture for Online Calibration of Deep Neural Networks Erdong Guo D. Draper Maria de Iorio 76 0 0 27 Dec 2022
Uncertainty-Aware Performance Prediction for Highly Configurable Software Systems via Bayesian Neural Networks Huong Ha Zongwen Fan Hongyu Zhang BDL 39 0 0 27 Dec 2022
Boosting Out-of-Distribution Detection with Multiple Pre-trained Models Feng Xue Zi He Chuanlong Xie Falong Tan Zhenguo Li OODD 123 7 0 24 Dec 2022
Improving Uncertainty Quantification of Variance Networks by Tree-Structured Learning Wenxuan Ma Xing Yan Kun Zhang UQCV 66 0 0 24 Dec 2022
On Calibrating Semantic Segmentation Models: Analyses and An Algorithm Dongdong Wang Boqing Gong Liqiang Wang 92 27 0 22 Dec 2022
ECG-Based Electrolyte Prediction: Evaluating Regression and Probabilistic Methods Philipp Bachmann Daniel Gedon Fredrik K. Gustafsson Antônio H. Ribeiro E. Lampa S. Gustafsson Johan Sundström Thomas B. Schon 63 1 0 21 Dec 2022
KL Regularized Normalization Framework for Low Resource Tasks Neeraj Kumar Ankur Narang Brejesh Lall 60 1 0 21 Dec 2022
Define, Evaluate, and Improve Task-Oriented Cognitive Capabilities for Instruction Generation Models Lingjun Zhao Khanh Nguyen Hal Daumé ELM 87 6 0 21 Dec 2022
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization Alexandre Ramé Kartik Ahuja Jianyu Zhang Matthieu Cord Léon Bottou David Lopez-Paz MoMe OODD 130 86 0 20 Dec 2022
C2F-TCN: A Framework for Semi and Fully Supervised Temporal Action Segmentation Dipika Singhania R. Rahaman Angela Yao 85 30 0 20 Dec 2022
TAS-NIR: A VIS+NIR Dataset for Fine-grained Semantic Segmentation in Unstructured Outdoor Environments Peter Mortimer Hans-Joachim Wuensche 69 6 0 19 Dec 2022