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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
HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic Segmentation Jian Ding Nan Xue Guisong Xia Bernt Schiele Dengxin Dai ViT 85 32 0 22 May 2023
ForestTrav: Accurate, Efficient and Deployable Forest Traversability Estimation for Autonomous Ground Vehicles Fabio Ruetz Nicholas Lawrance E. Hernández Paulo Borges Thierry Peynot 79 0 0 22 May 2023
When are ensembles really effective? Ryan Theisen Hyunsuk Kim Yaoqing Yang Liam Hodgkinson Michael W. Mahoney FedML UQCV 94 15 0 21 May 2023
Distribution-Free Model-Agnostic Regression Calibration via Nonparametric Methods Shang Liu Zhongze Cai Xiaocheng Li 45 4 0 20 May 2023
Annealing Self-Distillation Rectification Improves Adversarial Training Yuehua Wu Hung-Jui Wang Shang-Tse Chen AAML 104 5 0 20 May 2023
Diversifying Deep Ensembles: A Saliency Map Approach for Enhanced OOD Detection, Calibration, and Accuracy Stanislav Dereka I. Karpukhin Maksim Zhdanov Sergey Kolesnikov 104 0 0 19 May 2023
Semantic Anomaly Detection with Large Language Models Amine Elhafsi Rohan Sinha Christopher Agia Edward Schmerling I. Nesnas Marco Pavone 99 75 0 18 May 2023
Uncertainty Quantification in Deep Neural Networks through Statistical Inference on Latent Space Luigi Sbailò L. Ghiringhelli UQCV BDL 20 2 0 18 May 2023
Physics Inspired Approaches To Understanding Gaussian Processes Maximilian P. Niroomand L. Dicks Edward O. Pyzer-Knapp D. Wales 76 1 0 18 May 2023
Logit-Based Ensemble Distribution Distillation for Robust Autoregressive Sequence Uncertainties Yassir Fathullah Guoxuan Xia Mark Gales UQCV 63 5 0 17 May 2023
A Novel Strategy for Improving Robustness in Computer Vision Manufacturing Defect Detection A. M. Mezher A. Marble UQCV AAML OOD 54 3 0 16 May 2023
Synthetic data, real errors: how (not) to publish and use synthetic data B. V. Breugel Zhaozhi Qian M. Schaar SyDa 112 30 0 16 May 2023
Self-Aware Trajectory Prediction for Safe Autonomous Driving Wenbo Shao Jun Li Hong Wang 89 12 0 16 May 2023
AI in the Loop -- Functionalizing Fold Performance Disagreement to Monitor Automated Medical Image Segmentation Pipelines H. Gottlich P. Korfiatis Adriana V. Gregory Timothy Kline 54 0 0 15 May 2023
Integrating Uncertainty into Neural Network-based Speech Enhancement Hu Fang Dennis Becker S. Wermter Timo Gerkmann UQCV 69 3 0 15 May 2023
Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction using the Local Lipschitz D. Bhutto Bo Zhu J. Liu Neha Koonjoo H. Li Bruce Rosen Matthew S. Rosen UQCV OOD 141 2 0 12 May 2023
Uncertainty-Aware Semi-Supervised Learning for Prostate MRI Zonal Segmentation M. Hosseinzadeh A. Saha Joeran S. Bosma Henkjan Huisman 62 1 0 10 May 2023
Trustworthy Multi-phase Liver Tumor Segmentation via Evidence-based Uncertainty Chuanfei Hu Tianyi Xia Yingwei Cui Quchen Zou Yuan-Cheng Wang Wenbo Xiao Shenghong Ju Xinde Li EDL 115 33 0 09 May 2023
On the Limitations of Model Stealing with Uncertainty Quantification Models David Pape Sina Daubener Thorsten Eisenhofer Antonio Emanuele Cinà Lea Schonherr 60 3 0 09 May 2023
Who Needs Decoders? Efficient Estimation of Sequence-level Attributes Yassir Fathullah Puria Radmard Adian Liusie Mark Gales OODD 72 1 0 09 May 2023
Modelling Concurrency Bugs Using Machine Learning Teodor Rares Begu 36 0 0 08 May 2023
Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial V. Nemani Luca Biggio Xun Huan Zhen Hu Olga Fink Anh Tran Yan Wang Xiaoge Zhang Chao Hu AI4CE 120 81 0 07 May 2023
Out-of-Domain Intent Detection Considering Multi-Turn Dialogue Contexts Hao Lang Yinhe Zheng Binyuan Hui Fei Huang Yongbin Li 86 4 0 05 May 2023
A Survey on Out-of-Distribution Detection in NLP Hao Lang Yinhe Zheng Yixuan Li Jian Sun Feiling Huang Yongbin Li 91 25 0 05 May 2023
Uncertainty Aware Deep Learning Model for Secure and Trustworthy Channel Estimation in 5G Networks Ferhat Ozgur Catak Marc Brittain Murat Kuzlu Christine Serres UQCV 58 1 0 04 May 2023
High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling Y. Yin Yu Wang Gang Xu 113 4 0 04 May 2023
Distributional Instance Segmentation: Modeling Uncertainty and High Confidence Predictions with Latent-MaskRCNN YuXuan Liu Nikhil Mishra Pieter Abbeel Xi Chen ISeg UQCV 123 4 0 03 May 2023
Inferential Moments of Uncertain Multivariable Systems Junheng Li 67 1 0 03 May 2023
Single-model uncertainty quantification in neural network potentials does not consistently outperform model ensembles Aik Rui Tan S. Urata Samuel Goldman Johannes C. B. Dietschreit Rafael Gómez-Bombarelli BDL 97 46 0 02 May 2023
Expectation Maximization Pseudo Labels Moucheng Xu Yukun Zhou Chen Jin M. Groot Daniel C. Alexander N. Oxtoby Yipeng Hu Joseph Jacob 125 3 0 02 May 2023
Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement Ailin Deng Miao Xiong Bryan Hooi 205 7 0 02 May 2023
Get Back Here: Robust Imitation by Return-to-Distribution Planning Geoffrey Cideron B. Tabanpour Sebastian Curi Sertan Girgin Léonard Hussenot Gabriel Dulac-Arnold Matthieu Geist Olivier Pietquin Robert Dadashi OOD 153 2 0 02 May 2023
Reliable Gradient-free and Likelihood-free Prompt Tuning Maohao Shen S. Ghosh P. Sattigeri Subhro Das Yuheng Bu G. Wornell VLM 115 12 0 30 Apr 2023
Deep Ensembles to Improve Uncertainty Quantification of Statistical Downscaling Models under Climate Change Conditions Jose González-Abad Jorge Baño-Medina UQCV 56 0 0 27 Apr 2023
$π$ -Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation Chengyue Wu Teng Wang Yixiao Ge Zeyu Lu Rui-Zhi Zhou Ying Shan Ping Luo MoMe 145 37 0 27 Apr 2023
Uncertainty Aware Neural Network from Similarity and Sensitivity H. M. D. Kabir S. Mondal Sadia Khanam Abbas Khosravi Shafin Rahman ... R. Alizadehsani Houshyar Asadi Shady M. K. Mohamed Saeid Nahavandi Usha R. Acharya AAML 73 4 0 27 Apr 2023
Effect of latent space distribution on the segmentation of images with multiple annotations Ishaan Bhat J. Pluim M. Viergever Hugo J. Kuijf 44 6 0 26 Apr 2023
Certifying Ensembles: A General Certification Theory with S-Lipschitzness Aleksandar Petrov Francisco Eiras Amartya Sanyal Philip Torr Adel Bibi UQCV 70 1 0 25 Apr 2023
QuantProb: Generalizing Probabilities along with Predictions for a Pre-trained Classifier Aditya Challa Snehanshu Saha S. Dhavala UQCV 74 2 0 25 Apr 2023
Synthetic Datasets for Autonomous Driving: A Survey Zhihang Song Zimin He Xingyu Li Q. Ma RuiBo Ming ... Huaxin Pei Lihui Peng Jianming Hu Dingyi Yao Yan Zhang 101 46 0 24 Apr 2023
Policy Resilience to Environment Poisoning Attacks on Reinforcement Learning Hang Xu Xinghua Qu Zinovi Rabinovich 93 1 0 24 Apr 2023
Individual Fairness in Bayesian Neural Networks Alice Doherty Matthew Wicker Luca Laurenti A. Patané 147 5 0 21 Apr 2023
Efficient Uncertainty Estimation in Spiking Neural Networks via MC-dropout Tao Sun Bojian Yin S. Bohté BDL 86 5 0 20 Apr 2023
Learning Sample Difficulty from Pre-trained Models for Reliable Prediction Peng Cui Dan Zhang Zhijie Deng Yinpeng Dong Junyi Zhu 64 12 0 20 Apr 2023
SemEval 2023 Task 6: LegalEval - Understanding Legal Texts Ashutosh Modi Prathamesh Kalamkar S. Karn Aman Tiwari Abhinav Joshi Sai Kiran Tanikella S. Guha Sachin Malhan Vivek Raghavan ELM AILaw 55 42 0 19 Apr 2023
Decoupled Training for Long-Tailed Classification With Stochastic Representations G. Nam Sunguk Jang Juho Lee OOD BDL OODD 66 14 0 19 Apr 2023
Perception Imitation: Towards Synthesis-free Simulator for Autonomous Vehicles Xiaoliang Ju Yiyang Sun Yiming Hao Yikang Li Yu Qiao Hongsheng Li 49 1 0 19 Apr 2023
On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study Polina Zablotskaia Du Phan Joshua Maynez Shashi Narayan Jie Jessie Ren J. Liu UQLM UQCV 76 20 0 17 Apr 2023
Promises and Pitfalls of the Linearized Laplace in Bayesian Optimization Agustinus Kristiadi Alexander Immer Runa Eschenhagen Vincent Fortuin BDL UQCV 87 10 0 17 Apr 2023
Prediction-Oriented Bayesian Active Learning Freddie Bickford-Smith Andreas Kirsch Sebastian Farquhar Y. Gal Adam Foster Tom Rainforth 95 36 0 17 Apr 2023