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
Feature Generation and Hypothesis Verification for Reliable Face Anti-Spoofing Shice Liu Shitao Lu Hongyi Xu J. Yang Shouhong Ding Lizhuang Ma AAML CVBM 90 40 0 30 Dec 2021
Bayesian Neural Hawkes Process for Event Uncertainty Prediction Manisha Dubey Ragja Palakkadavath P. K. Srijith BDL 63 7 0 29 Dec 2021
Uncertainty Detection and Reduction in Neural Decoding of EEG Signals Tiehang Duan Zhenyi Wang Shengjie Liu S. Srihari Hui Yang 33 0 0 28 Dec 2021
Semi-supervised Salient Object Detection with Effective Confidence Estimation Jiawei Liu Jing Zhang Nick Barnes 74 5 0 28 Dec 2021
Transformer Uncertainty Estimation with Hierarchical Stochastic Attention Jiahuan Pei Cheng-Yu Wang Gyuri Szarvas 65 23 0 27 Dec 2021
On the relationship between calibrated predictors and unbiased volume estimation Teodora Popordanoska J. Bertels Dirk Vandermeulen F. Maes Matthew B. Blaschko 70 13 0 23 Dec 2021
Maximum Entropy on Erroneous Predictions (MEEP): Improving model calibration for medical image segmentation Agostina J. Larrazabal Cesar E. Martínez Jose Dolz Enzo Ferrante 106 15 0 22 Dec 2021
Out-of-distribution Detection with Boundary Aware Learning Sen Pei Xin Zhang Bin Fan Gaofeng Meng OODD 44 8 0 22 Dec 2021
Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies Vivian Lai Chacha Chen Q. V. Liao Alison Smith-Renner Chenhao Tan 123 188 0 21 Dec 2021
Adversarial Gradient Driven Exploration for Deep Click-Through Rate Prediction Kailun Wu Zhangming Chan Weijie Bian Lejian Ren Shiming Xiang Shuguang Han Hongbo Deng Bo Zheng 54 12 0 21 Dec 2021
Bayesian neural network priors for edge-preserving inversion Chen Li Matthew M. Dunlop G. Stadler 46 13 0 20 Dec 2021
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results Raghav Mehta Angelos Filos Ujjwal Baid C. Sako Richard McKinley ... Christos Davatzikos Bjoern Menze Spyridon Bakas Y. Gal Tal Arbel UQCV 110 49 0 19 Dec 2021
Anomaly Discovery in Semantic Segmentation via Distillation Comparison Networks Huan Zhou Shi Gong Yu Zhou Zengqiang Zheng Ronghua Liu Xiang Bai 67 1 0 18 Dec 2021
Robust Distributed Bayesian Learning with Stragglers via Consensus Monte Carlo Hari Hara Suthan Chittoor Osvaldo Simeone 56 0 0 17 Dec 2021
A data-centric weak supervised learning for highway traffic incident detection Yixuan Sun Tanwi Mallick Prasanna Balaprakash Jane Macfarlane 105 13 0 17 Dec 2021
Fair Active Learning: Solving the Labeling Problem in Insurance Romuald Elie Caroline Hillairet Franccois Hu Marc Juillard FaML 76 0 0 17 Dec 2021
Generalisation effects of predictive uncertainty estimation in deep learning for digital pathology Milda Pocevičiūtė Gabriel Eilertsen Sofia Jarkman Claes Lundström OOD UQCV 66 24 0 17 Dec 2021
Improving evidential deep learning via multi-task learning Dongpin Oh Bonggun Shin EDL UQCV 102 24 0 17 Dec 2021
Benchmarking Uncertainty Quantification on Biosignal Classification Tasks under Dataset Shift Tong Xia Jing Han Cecilia Mascolo OOD 84 11 0 16 Dec 2021
Simultaneous Multivariate Forecast of Space Weather Indices using Deep Neural Network Ensembles B. Benson Edward J. E. Brown S. Bonasera Giacomo Acciarini J. A. Pérez-Hernández E. Sutton M. Jah Chris Bridges Meng Jin A. G. Baydin 21 3 0 16 Dec 2021
Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic Zhihai Wang Jie Wang Qi Zhou Bin Li Houqiang Li 71 34 0 16 Dec 2021
On the Uncertain Single-View Depths in Colonoscopies Javier Rodríguez-Puigvert D. Recasens Javier Civera Ruben Martinez Cantin UQCV 50 12 0 16 Dec 2021
UMAD: Universal Model Adaptation under Domain and Category Shift Jian Liang Dapeng Hu Jiashi Feng Ran He 74 31 0 16 Dec 2021
Measure and Improve Robustness in NLP Models: A Survey Xuezhi Wang Haohan Wang Diyi Yang 300 139 0 15 Dec 2021
Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation Yi Li Yiqun Duan Zhanghui Kuang Yimin Chen Wayne Zhang Xiaomeng Li 108 75 0 14 Dec 2021
Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation Volodymyr Kuleshov Shachi Deshpande UQCV BDL 473 34 0 14 Dec 2021
On The Reliability Of Machine Learning Applications In Manufacturing Environments Nicolas Jourdan S. Sen E. J. Husom Enrique Garcia-Ceja Tobias Biegel J. Metternich OOD 78 9 0 13 Dec 2021
Hypernet-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels Sun-Beom Hong A. Bonkhoff Andrew Hoopes Martin Bretzner M. Schirmer A. Giese Adrian Dalca Polina Golland N. Rost UQCV 60 7 0 13 Dec 2021
Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer Shiye Lei Zhuozhuo Tu Leszek Rutkowski Feng Zhou Li Shen Fengxiang He Dacheng Tao BDL 80 2 0 12 Dec 2021
Hyperdimensional Feature Fusion for Out-Of-Distribution Detection Samuel Wilson Tobias Fischer Niko Sünderhauf Feras Dayoub OODD 84 16 0 10 Dec 2021
Zero-Shot Uncertainty-Aware Deployment of Simulation Trained Policies on Real-World Robots Krishan Rana Vibhavari Dasagi Jesse Haviland Ben Talbot Michael Milford Niko Sünderhauf 73 1 0 10 Dec 2021
PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures Dan Hendrycks Andy Zou Mantas Mazeika Leonard Tang Yue Liu Basel Alomair Jacob Steinhardt UQCV 59 149 0 09 Dec 2021
The Peril of Popular Deep Learning Uncertainty Estimation Methods Yehao Liu Matteo Pagliardini Tatjana Chavdarova Sebastian U. Stich UQCV 30 16 0 09 Dec 2021
Online Calibrated and Conformal Prediction Improves Bayesian Optimization Shachi Deshpande Charles Marx Volodymyr Kuleshov 85 8 0 08 Dec 2021
Model-Value Inconsistency as a Signal for Epistemic Uncertainty Angelos Filos Eszter Vértes Zita Marinho Gregory Farquhar Diana Borsa A. Friesen Feryal M. P. Behbahani Tom Schaul André Barreto Simon Osindero 104 7 0 08 Dec 2021
On the Effectiveness of Mode Exploration in Bayesian Model Averaging for Neural Networks J. Holodnak Allan B. Wollaber UQCV BDL 34 0 0 07 Dec 2021
More layers! End-to-end regression and uncertainty on tabular data with deep learning Ivan Bondarenko OOD LMTD UQCV 55 4 0 07 Dec 2021
Enhanced Exploration in Neural Feature Selection for Deep Click-Through Rate Prediction Models via Ensemble of Gating Layers L. Guan Xia Xiao Ming-yue Chen Youlong Cheng 56 1 0 07 Dec 2021
Benchmark for Out-of-Distribution Detection in Deep Reinforcement Learning Aaqib Parvez Mohammed Matias Valdenegro-Toro OOD OffRL 56 10 0 05 Dec 2021
Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting Abdulmajid Murad F. Kraemer Kerstin Bach Gavin Taylor OOD BDL UQCV 42 12 0 05 Dec 2021
Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised Medical Image Segmentation Yichi Zhang Rushi Jiao Qingcheng Liao Dongyang Li Jicong Zhang 61 60 0 05 Dec 2021
Challenges and Opportunities in Approximate Bayesian Deep Learning for Intelligent IoT Systems Meet P. Vadera Benjamin M. Marlin UQCV BDL 40 5 0 03 Dec 2021
Why Calibration Error is Wrong Given Model Uncertainty: Using Posterior Predictive Checks with Deep Learning Achintya Gopal UQCV 101 1 0 02 Dec 2021
Probabilistic Approach for Road-Users Detection Gledson Melotti Weihao Lu Pedro Conde Dezong Zhao A. Asvadi Nuno Gonçalves C. Premebida 76 2 0 02 Dec 2021
Open-set 3D Object Detection Jun Cen Peng Yun Junhao Cai M. Y. Wang Meilin Liu 3DPC 72 38 0 02 Dec 2021
Provable Guarantees for Understanding Out-of-distribution Detection Peyman Morteza Yixuan Li OODD 112 95 0 01 Dec 2021
A Unified Benchmark for the Unknown Detection Capability of Deep Neural Networks Jihyo Kim Jiin Koo Sangheum Hwang UQCV 83 20 0 01 Dec 2021
The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration Bingyuan Liu Ismail Ben Ayed Adrian Galdran Jose Dolz UQCV 109 72 0 30 Nov 2021
Continuous Control With Ensemble Deep Deterministic Policy Gradients Piotr Januszewski Mateusz Olko M. Królikowski J. Swiatkowski Marcin Andrychowicz Lukasz Kuciñski Piotr Milo's OffRL 29 10 0 30 Nov 2021
DeDUCE: Generating Counterfactual Explanations Efficiently Benedikt Höltgen Lisa Schut J. Brauner Y. Gal CML 68 6 0 29 Nov 2021