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
SUDO: a framework for evaluating clinical artificial intelligence systems without ground-truth annotations Dani Kiyasseh Aaron Cohen Chengsheng Jiang Nicholas Altieri SyDa 87 11 0 02 Jan 2024
A Compact Representation for Bayesian Neural Networks By Removing Permutation Symmetry Tim Z. Xiao Weiyang Liu Robert Bamler 72 6 0 31 Dec 2023
DiffHybrid-UQ: Uncertainty Quantification for Differentiable Hybrid Neural Modeling Deepak Akhare Tengfei Luo Jian-Xun Wang 84 6 0 30 Dec 2023
Function-Space Regularization in Neural Networks: A Probabilistic Perspective Tim G. J. Rudner Sanyam Kapoor Shikai Qiu A. Wilson 90 13 0 28 Dec 2023
Efficient Deweather Mixture-of-Experts with Uncertainty-aware Feature-wise Linear Modulation Rongyu Zhang Yulin Luo Jiaming Liu Huanrui Yang Zhen Dong ... Tomoyuki Okuno Yohei Nakata Kurt Keutzer Yuan Du Shanghang Zhang MoMe MoE 78 3 0 27 Dec 2023
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models Gianni Franchi Olivier Laurent Maxence Leguéry Andrei Bursuc Andrea Pilzer Angela Yao UQCV BDL 65 6 0 23 Dec 2023
Density Uncertainty Quantification with NeRF-Ensembles: Impact of Data and Scene Constraints M. Jäger Steven Landgraf B. Jutzi 86 2 0 22 Dec 2023
Unveiling Backbone Effects in CLIP: Exploring Representational Synergies and Variances Cristian Rodriguez-Opazo Edison Marrese-Taylor Ehsan Abbasnejad Hamed Damirchi Ignacio M. Jara Felipe Bravo-Marquez Anton Van Den Hengel VLM 68 1 0 22 Dec 2023
Clustering and Uncertainty Analysis to Improve the Machine Learning-based Predictions of SAFARI-1 Control Follower Assembly Axial Neutron Flux Profiles L. Moloko P. Bokov Xu Wu Kostadin N. Ivanov AI4CE 42 1 0 20 Dec 2023
SimCalib: Graph Neural Network Calibration based on Similarity between Nodes Boshi Tang Zhiyong Wu Xixin Wu Qiaochu Huang Jun Chen Shunwei Lei Helen M. Meng 104 8 0 19 Dec 2023
Scaling Up Bayesian Neural Networks with Neural Networks Zahra Moslemi Yang Meng Shiwei Lan Babak Shahbaba BDL 75 1 0 19 Dec 2023
Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks Nikita Kotelevskii Samuel Horváth Karthik Nandakumar Martin Takáč Maxim Panov UQCV FedML OOD 53 8 0 18 Dec 2023
Deep Learning Approaches for Seizure Video Analysis: A Review David Ahmedt-Aristizabal M. Armin Zeeshan Hayder Norberto Garcia-Cairasco Lars Petersson Clinton Fookes Akila Pemasiri A. McGonigal 118 21 0 18 Dec 2023
Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals Patrick Altmeyer Mojtaba Farmanbar A. V. Deursen Cynthia C. S. Liem 72 3 0 17 Dec 2023
Unveiling Empirical Pathologies of Laplace Approximation for Uncertainty Estimation Maksim Zhdanov Stanislav Dereka Sergey Kolesnikov 28 0 0 16 Dec 2023
Active Reinforcement Learning for Robust Building Control Doseok Jang Larry Yan Lucas Spangher C. Spanos 94 3 0 16 Dec 2023
Bayesian Estimate of Mean Proper Scores for Diversity-Enhanced Active Learning Wei Tan Lan Du Wray Buntine 87 7 0 15 Dec 2023
Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking Jacob Eisenstein Chirag Nagpal Alekh Agarwal Ahmad Beirami Alex DÁmour ... Katherine Heller Stephen Pfohl Deepak Ramachandran Peter Shaw Jonathan Berant 100 100 0 14 Dec 2023
Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting Anthony Chen Huanrui Yang Yulu Gan Denis A. Gudovskiy Zhen Dong Haofan Wang Tomoyuki Okuno Yohei Nakata Kurt Keutzer Shanghang Zhang 67 3 0 14 Dec 2023
Weighted Ensemble Models Are Strong Continual Learners Imad Eddine Marouf Subhankar Roy Enzo Tartaglione Stéphane Lathuilière CLL 122 22 0 14 Dec 2023
HAROOD: Human Activity Classification and Out-of-Distribution Detection with Short-Range FMCW Radar Sabri Mustafa Kahya Muhammet Sami Yavuz Eckehard G. Steinbach 66 5 0 14 Dec 2023
Meta-learning to Calibrate Gaussian Processes with Deep Kernels for Regression Uncertainty Estimation Tomoharu Iwata Atsutoshi Kumagai BDL UQCV 86 1 0 13 Dec 2023
Uncertainty Visualization via Low-Dimensional Posterior Projections Omer Yair E. Nehme T. Michaeli UQCV 81 2 0 12 Dec 2023
Empirical Validation of Conformal Prediction for Trustworthy Skin Lesions Classification Jamil Fayyad Shadi Alijani Homayoun Najjaran OOD 125 8 0 12 Dec 2023
Identifying Drivers of Predictive Aleatoric Uncertainty Pascal Iversen Simon Witzke Katharina Baum Bernhard Y. Renard UD 157 2 0 12 Dec 2023
AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images Prithvijit Chattopadhyay Bharat Goyal B. Ecsedi Viraj Prabhu Judy Hoffman 97 1 0 11 Dec 2023
Batched Low-Rank Adaptation of Foundation Models Yeming Wen Swarat Chaudhuri OffRL 102 21 0 09 Dec 2023
CSL: Class-Agnostic Structure-Constrained Learning for Segmentation Including the Unseen Hao Zhang Fang Li Lu Qi Ming-Hsuan Yang Narendra Ahuja 110 11 0 09 Dec 2023
Model-Based Epistemic Variance of Values for Risk-Aware Policy Optimization Carlos E. Luis A. Bottero Julia Vinogradska Felix Berkenkamp Jan Peters OffRL 116 3 0 07 Dec 2023
Coherent energy and force uncertainty in deep learning force fields Peter Bjørn Jørgensen Jonas Busk Ole Winther Mikkel N. Schmidt 64 3 0 07 Dec 2023
Transferable Candidate Proposal with Bounded Uncertainty Kyeongryeol Go Kye-Hyeon Kim 71 0 0 07 Dec 2023
DiscoBAX: Discovery of Optimal Intervention Sets in Genomic Experiment Design Clare Lyle Arash Mehrjou Pascal Notin Andrew Jesson Stefan Bauer Y. Gal Patrick Schwab 113 12 0 07 Dec 2023
Data-Centric Digital Agriculture: A Perspective R. Roscher Lukas Roth C. Stachniss Achim Walter 77 2 0 06 Dec 2023
Cooperative Probabilistic Trajectory Forecasting under Occlusion Anshul Nayak A. Eskandarian 58 0 0 06 Dec 2023
PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness Anh-Quan Cao Angela Dai Raoul de Charette UQCV 71 22 0 04 Dec 2023
Deep Ensembles Meets Quantile Regression: Uncertainty-aware Imputation for Time Series Ying Liu Peng Cui Wenbo Hu Richang Hong DiffM BDL AI4TS 67 1 0 03 Dec 2023
Uncertainty in Graph Contrastive Learning with Bayesian Neural Networks Alexander M¨ollers Alexander Immer Elvin Isufi Vincent Fortuin SSL BDL UQCV 128 1 0 30 Nov 2023
Semi-supervised Semantic Segmentation via Boosting Uncertainty on Unlabeled Data Daoan Zhang Yunhao Luo Jiang Zhang UQCV 99 0 0 30 Nov 2023
Stochastic Vision Transformers with Wasserstein Distance-Aware Attention Franciskus Xaverius Erick Mina Rezaei Johanna P. Müller Bernhard Kainz 60 0 0 30 Nov 2023
Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control Bernd Frauenknecht Tobias Ehlgen Sebastian Trimpe 87 4 0 30 Nov 2023
Are Ensembles Getting Better all the Time? Pierre-Alexandre Mattei Damien Garreau OOD FedML 129 1 0 29 Nov 2023
Meta Co-Training: Two Views are Better than One Jay C. Rothenberger Dimitrios I. Diochnos VLM 170 3 0 29 Nov 2023
MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training Pavan Kumar Anasosalu Vasu Hadi Pouransari Fartash Faghri Raviteja Vemulapalli Oncel Tuzel CLIP VLM 124 53 0 28 Nov 2023
Deployment of a Robust and Explainable Mortality Prediction Model: The COVID-19 Pandemic and Beyond Jacob R. Epifano Stephen Glass Ravichandran Ramachandran Sharad Patel A. Masino Ghulam Rasool 54 0 0 28 Nov 2023
Rescuing referral failures during automated diagnosis of domain-shifted medical images Anuj Srivastava Karm Patel Pradeep Shenoy D. Sridharan OOD 77 0 0 28 Nov 2023
On the Calibration of Human Pose Estimation Kerui Gu Rongyu Chen Angela Yao 183 8 0 28 Nov 2023
From Reactive to Proactive Volatility Modeling with Hemisphere Neural Networks Philippe Goulet Coulombe Mikael Frenette Karin Klieber 58 3 0 27 Nov 2023
Scale-Dropout: Estimating Uncertainty in Deep Neural Networks Using Stochastic Scale Soyed Tuhin Ahmed K. Danouchi Michael Hefenbrock G. Prenat L. Anghel M. Tahoori UQCV BDL 75 7 0 27 Nov 2023
Uncertainty-aware Language Modeling for Selective Question Answering Qi Yang Shreya Ravikumar F. Schmitt-Ulms S. Lolla Ege Demir ... Sadhana Lolla Elaheh Ahmadi Daniela Rus Alexander Amini Alejandro Perez 54 7 0 26 Nov 2023
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection Yichen Bai Zongbo Han Changqing Zhang Bing Cao Xiaoheng Jiang Qinghua Hu OODD 116 21 0 26 Nov 2023