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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
Scalable marginalization of correlated latent variables with applications to learning particle interaction kernels Mengyang Gu Xubo Liu X. Fang Sui Tang 57 8 0 16 Mar 2022
Self-Distribution Distillation: Efficient Uncertainty Estimation Yassir Fathullah Mark Gales UQCV 46 11 0 15 Mar 2022
Machine Learning and Cosmology C. Dvorkin S. Mishra-Sharma Brian D. Nord V. A. Villar Camille Avestruz ... A. Ćiprijanović Andrew J. Connolly L. Garrison G. Narayan F. Villaescusa-Navarro AI4CE 107 13 0 15 Mar 2022
Igeood: An Information Geometry Approach to Out-of-Distribution Detection Eduardo Dadalto Camara Gomes F. Alberge Pierre Duhamel Pablo Piantanida OODD 178 29 0 15 Mar 2022
Uncertainty Estimation for Language Reward Models Adam Gleave G. Irving UQLM 84 34 0 14 Mar 2022
On Connecting Deep Trigonometric Networks with Deep Gaussian Processes: Covariance, Expressivity, and Neural Tangent Kernel Chi-Ken Lu Patrick Shafto BDL 76 0 0 14 Mar 2022
Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation Pier Giuseppe Sessa Maryam Kamgarpour Andreas Krause 60 17 0 14 Mar 2022
Uncertainty-Aware Text-to-Program for Question Answering on Structured Electronic Health Records Daeyoung Kim Seongsu Bae S. Kim Edward Choi 71 6 0 14 Mar 2022
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time Mitchell Wortsman Gabriel Ilharco S. Gadre Rebecca Roelofs Raphael Gontijo-Lopes ... Hongseok Namkoong Ali Farhadi Y. Carmon Simon Kornblith Ludwig Schmidt MoMe 201 1,013 1 10 Mar 2022
Deep Regression Ensembles Antoine Didisheim Bryan Kelly Semyon Malamud UQCV 59 4 0 10 Mar 2022
Semi-supervision semantic segmentation with uncertainty-guided self cross supervision Yunyang Zhang Zhiqiang Gong Xiaohu Zheng Xiaoyu Zhao Wen Yao UQCV 73 7 0 10 Mar 2022
Domain Generalization using Pretrained Models without Fine-tuning Ziyue Li Kan Ren Xinyang Jiang Yue Liu Haipeng Zhang Dongsheng Li VLM 94 38 0 09 Mar 2022
Structure and Distribution Metric for Quantifying the Quality of Uncertainty: Assessing Gaussian Processes, Deep Neural Nets, and Deep Neural Operators for Regression Ethan Pickering T. Sapsis UQCV 54 6 0 09 Mar 2022
Estimating the Uncertainty in Emotion Class Labels with Utterance-Specific Dirichlet Priors Wen Wu Chuxu Zhang Xixin Wu P. Woodland 91 14 0 08 Mar 2022
Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild Xuefeng Du Xin Eric Wang Gabriel Gozum Yixuan Li OODD 120 93 0 08 Mar 2022
Low-Loss Subspace Compression for Clean Gains against Multi-Agent Backdoor Attacks Siddhartha Datta N. Shadbolt AAML 79 6 0 07 Mar 2022
Scalable Uncertainty Quantification for Deep Operator Networks using Randomized Priors Yibo Yang Georgios Kissas P. Perdikaris BDL UQCV 95 42 0 06 Mar 2022
Robust PAC $^m$ : Training Ensemble Models Under Misspecification and Outliers Matteo Zecchin Sangwoo Park Osvaldo Simeone Marios Kountouris David Gesbert 97 5 0 03 Mar 2022
T-Cal: An optimal test for the calibration of predictive models Donghwan Lee Xinmeng Huang Hamed Hassani Yan Sun 149 22 0 03 Mar 2022
MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks Gianni Franchi Xuanlong Yu Andrei Bursuc Ángel Tena Rémi Kazmierczak Séverine Dubuisson Emanuel Aldea David Filliat UQCV 100 28 0 02 Mar 2022
Understanding the Challenges When 3D Semantic Segmentation Faces Class Imbalanced and OOD Data Yancheng Pan Fan Xie Huijing Zhao CVBM 67 8 0 01 Mar 2022
RMBR: A Regularized Minimum Bayes Risk Reranking Framework for Machine Translation Yidan Zhang Boyi Deng Dayiheng Liu Baosong Yang Zhenan He 67 2 0 01 Mar 2022
Evaluating High-Order Predictive Distributions in Deep Learning Ian Osband Zheng Wen S. Asghari Vikranth Dwaracherla Xiuyuan Lu Benjamin Van Roy 84 10 0 28 Feb 2022
Theoretical Error Analysis of Entropy Approximation for Gaussian Mixture Takashi Furuya Hiroyuki Kusumoto K. Taniguchi Naoya Kanno Kazuma Suetake 88 1 0 26 Feb 2022
A Deep Bayesian Neural Network for Cardiac Arrhythmia Classification with Rejection from ECG Recordings Wen-Rang Zhang Xinxin Di Guodong Wei Shijia Geng Zhaoji Fu linda Qiao UQCV BDL 51 2 0 26 Feb 2022
Raman Spectrum Matching with Contrastive Representation Learning Yue Liu Mikkel N. Schmidt T. S. Alstrøm 41 10 0 25 Feb 2022
On Monocular Depth Estimation and Uncertainty Quantification using Classification Approaches for Regression Xuanlong Yu Gianni Franchi Emanuel Aldea UQCV 69 2 0 24 Feb 2022
Uncertainty-driven Planner for Exploration and Navigation G. Georgakis Bernadette Bucher Anton Arapin Karl Schmeckpeper Nikolai Matni Kostas Daniilidis 87 53 0 24 Feb 2022
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations Oskar Kviman Harald Melin Hazal Koptagel Victor Elvira J. Lagergren DRL 134 17 0 22 Feb 2022
Confident Neural Network Regression with Bootstrapped Deep Ensembles Laurens Sluijterman Eric Cator Tom Heskes BDL UQCV FedML 52 2 0 22 Feb 2022
UncertaINR: Uncertainty Quantification of End-to-End Implicit Neural Representations for Computed Tomography Francisca Vasconcelos Bobby He Nalini Singh Yee Whye Teh BDL OOD UQCV 76 13 0 22 Feb 2022
Deconstructing Distributions: A Pointwise Framework of Learning Gal Kaplun Nikhil Ghosh Saurabh Garg Boaz Barak Preetum Nakkiran OOD 87 21 0 20 Feb 2022
Continual Learning Beyond a Single Model T. Doan Seyed Iman Mirzadeh Mehrdad Farajtabar CLL 92 16 0 20 Feb 2022
Accurate Prediction and Uncertainty Estimation using Decoupled Prediction Interval Networks Kinjal Patel Steven Waslander UQCV 73 3 0 19 Feb 2022
Graph Reparameterizations for Enabling 1000+ Monte Carlo Iterations in Bayesian Deep Neural Networks Jurijs Nazarovs Ronak R. Mehta Vishnu Suresh Lokhande Vikas Singh UQCV BDL OOD 48 5 0 19 Feb 2022
Transfer and Marginalize: Explaining Away Label Noise with Privileged Information Mark Collier Rodolphe Jenatton Efi Kokiopoulou Jesse Berent 56 13 0 18 Feb 2022
Data-SUITE: Data-centric identification of in-distribution incongruous examples Nabeel Seedat Jonathan Crabbé Mihaela van der Schaar OOD 73 14 0 17 Feb 2022
Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting Vilde Jensen F. Bianchi S. N. Anfinsen AI4TS 208 39 0 17 Feb 2022
Detecting and Learning the Unknown in Semantic Segmentation Robin Shing Moon Chan Svenja Uhlemeyer Matthias Rottmann Hanno Gottschalk UQCV 102 5 0 17 Feb 2022
How to Fill the Optimum Set? Population Gradient Descent with Harmless Diversity Chengyue Gong Lemeng Wu Qiang Liu 138 3 0 16 Feb 2022
Less is More: Surgical Phase Recognition from Timestamp Supervision Xinpeng Ding Xinjian Yan Zixun Wang Wei Zhao Jian Zhuang Xiaowei Xu Xiaomeng Li MedIm 92 15 0 16 Feb 2022
Reducing Overconfidence Predictions for Autonomous Driving Perception Gledson Melotti C. Premebida Jordan J. Bird Diego Resende Faria Nuno Gonccalves 74 7 0 16 Feb 2022
Predicting on the Edge: Identifying Where a Larger Model Does Better Taman Narayan Heinrich Jiang Sen Zhao Surinder Kumar 79 7 0 15 Feb 2022
Deep Ensembles Work, But Are They Necessary? Taiga Abe E. Kelly Buchanan Geoff Pleiss R. Zemel John P. Cunningham OOD UQCV 149 65 0 14 Feb 2022
PFGE: Parsimonious Fast Geometric Ensembling of DNNs Hao Guo Jiyong Jin B. Liu FedML 80 1 0 14 Feb 2022
Deep Monte Carlo Quantile Regression for Quantifying Aleatoric Uncertainty in Physics-informed Temperature Field Reconstruction Xiaohu Zheng Wen Yao Zhiqiang Gong Yunyang Zhang Xiaoyu Zhao Tingsong Jiang 22 4 0 14 Feb 2022
Real World Large Scale Recommendation Systems Reproducibility and Smooth Activations G. Shamir Dong Lin HAI OffRL 63 7 0 14 Feb 2022
Improving Contextual Coherence in Variational Personalized and Empathetic Dialogue Agents Jing Yang Lee Kong Aik Lee W. Gan 78 18 0 12 Feb 2022
Improving Generalization via Uncertainty Driven Perturbations Matteo Pagliardini Gilberto Manunza Martin Jaggi Michael I. Jordan Tatjana Chavdarova AAML AI4CE 85 4 0 11 Feb 2022
Bernstein Flows for Flexible Posteriors in Variational Bayes Oliver Durr Stephan Hörling Daniel Dold Ivonne Kovylov Beate Sick BDL 99 4 0 11 Feb 2022