Accurate Uncertainties for Deep Learning Using Calibrated Regression

1 July 2018

Papers citing "Accurate Uncertainties for Deep Learning Using Calibrated Regression"

50 / 140 papers shown

Title
Calibrated Selective Classification Adam Fisch Tommi Jaakkola Regina Barzilay 29 16 0 25 Aug 2022
NeuralUQ: A comprehensive library for uncertainty quantification in neural differential equations and operators Zongren Zou Xuhui Meng Apostolos F. Psaros George Karniadakis AI4CE 32 36 0 25 Aug 2022
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks Uddeshya Upadhyay Shyamgopal Karthik Yanbei Chen Massimiliano Mancini Zeynep Akata UQCV BDL 35 22 0 14 Jul 2022
Parametric and Multivariate Uncertainty Calibration for Regression and Object Detection Fabian Küppers Jonas Schneider Anselm Haselhoff UQCV 34 8 0 04 Jul 2022
Uncertainty Quantification for Deep Unrolling-Based Computational Imaging Canberk Ekmekci Müjdat Çetin UQCV 19 11 0 02 Jul 2022
Modular Conformal Calibration Charles Marx Shengjia Zhao W. Neiswanger Stefano Ermon 32 15 0 23 Jun 2022
On Calibrated Model Uncertainty in Deep Learning Biraja Ghoshal A. Tucker UQCV MedIm 25 10 0 15 Jun 2022
COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition M. Tellamekala Shahin Amiriparian Björn W. Schuller Elisabeth André T. Giesbrecht M. Valstar 26 25 0 12 Jun 2022
BaCaDI: Bayesian Causal Discovery with Unknown Interventions Alexander Hagele Jonas Rothfuss Lars Lorch Vignesh Ram Somnath Bernhard Schölkopf Andreas Krause CML BDL 44 20 0 03 Jun 2022
LiDAR-MIMO: Efficient Uncertainty Estimation for LiDAR-based 3D Object Detection Matthew A. Pitropov Chengjie Huang Vahdat Abdelzad Krzysztof Czarnecki Steven Waslander 3DPC 19 3 0 01 Jun 2022
Fair Representation Learning through Implicit Path Alignment Changjian Shui Qi Chen Jiaqi Li Boyu Wang Christian Gagné 41 28 0 26 May 2022
The Unreasonable Effectiveness of Deep Evidential Regression N. Meinert J. Gawlikowski Alexander Lavin UQCV EDL 177 35 0 20 May 2022
Norm-Scaling for Out-of-Distribution Detection Deepak Ravikumar Kaushik Roy OODD UQCV 21 2 0 06 May 2022
Probabilistic Models for Manufacturing Lead Times Recep Yusuf Bekci Yacine Mahdid Jinling Xing Nikita Letov Ying Zhang Zahid Pasha 24 0 0 28 Apr 2022
Approaching sales forecasting using recurrent neural networks and transformers Iván Vallés-Pérez E. Soria-Olivas M. Martínez-Sober Antonio J. Serrano J. Gómez-Sanchís Fernando Mateo AI4TS 24 36 0 16 Apr 2022
Probabilistic forecasts of wind power generation in regions with complex topography using deep learning methods: An Arctic case Odin Foldvik Eikeland Finn Dag Hovem T. Olsen M. Chiesa F. Bianchi 28 25 0 10 Mar 2022
PFGE: Parsimonious Fast Geometric Ensembling of DNNs Hao Guo Jiyong Jin B. Liu FedML 32 1 0 14 Feb 2022
Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation Vincent Mai Kaustubh Mani Liam Paull 36 34 0 05 Jan 2022
Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation Volodymyr Kuleshov Shachi Deshpande UQCV BDL 38 33 0 14 Dec 2021
Online Calibrated and Conformal Prediction Improves Bayesian Optimization Shachi Deshpande Charles Marx Volodymyr Kuleshov 13 7 0 08 Dec 2021
Why Calibration Error is Wrong Given Model Uncertainty: Using Posterior Predictive Checks with Deep Learning Achintya Gopal UQCV 30 1 0 02 Dec 2021
Deep Probability Estimation Sheng Liu Aakash Kaku Weicheng Zhu M. Leibovich S. Mohan ... Haoxiang Huang L. Zanna N. Razavian Jonathan Niles-Weed C. Fernandez‐Granda UQCV OOD 28 14 0 21 Nov 2021
TransMorph: Transformer for unsupervised medical image registration Junyu Chen Eric C. Frey Yufan He W. Paul Segars Ye Li Yong Du ViT MedIm 39 302 0 19 Nov 2021
Evaluating Predictive Uncertainty and Robustness to Distributional Shift Using Real World Data Kumud Lakara Akshat Bhandari Pratinav Seth Ujjwal Verma OOD 19 3 0 08 Nov 2021
Anatomical and Diagnostic Bayesian Segmentation in Prostate MRI $-$ Should Different Clinical Objectives Mandate Different Loss Functions? A. Saha Shengcai Liu J. Linmans M. Hosseinzadeh Ke Tang 25 8 0 25 Oct 2021
Robust Monocular Localization in Sparse HD Maps Leveraging Multi-Task Uncertainty Estimation Kürsat Petek Kshitij Sirohi Daniel Buscher Wolfram Burgard UQCV 54 24 0 20 Oct 2021
$f$ -Cal: Calibrated aleatoric uncertainty estimation from neural networks for robot perception Dhaivat Bhatt Kaustubh Mani Dishank Bansal Krishna Murthy Jatavallabhula Hanju Lee Liam Paull UQCV 23 5 0 28 Sep 2021
Selecting Datasets for Evaluating an Enhanced Deep Learning Framework Kudakwashe Dandajena I. Venter Mehrdad Ghaziasgar Reg Dodds 24 0 0 21 Sep 2021
Bayesian Confidence Calibration for Epistemic Uncertainty Modelling Fabian Küppers Jan Kronenberger Jonas Schneider Anselm Haselhoff UQCV BDL 19 8 0 21 Sep 2021
A framework for benchmarking uncertainty in deep regression F. Schmähling Jörg Martin Clemens Elster UQCV 38 8 0 10 Sep 2021
Active learning for reducing labeling effort in text classification tasks Peter Jacobs Gideon Maillette de Buy Wenniger M. Wiering Lambert Schomaker VLM 42 12 0 10 Sep 2021
Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications A. Capone Armin Lederer Sandra Hirche 29 18 0 06 Sep 2021
Neural Predictive Monitoring under Partial Observability Francesca Cairoli Luca Bortolussi Nicola Paoletti 20 14 0 16 Aug 2021
Calibrated Uncertainty for Molecular Property Prediction using Ensembles of Message Passing Neural Networks Jonas Busk Peter Bjørn Jørgensen Arghya Bhowmik Mikkel N. Schmidt Ole Winther Tejs Vegge 30 49 0 13 Jul 2021
Calibrating Predictions to Decisions: A Novel Approach to Multi-Class Calibration Shengjia Zhao Michael P. Kim Roshni Sahoo Tengyu Ma Stefano Ermon 20 55 0 12 Jul 2021
Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning Barna Pásztor Ilija Bogunovic Andreas Krause 28 41 0 08 Jul 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 59 1,111 0 07 Jul 2021
Laplace Redux -- Effortless Bayesian Deep Learning Erik A. Daxberger Agustinus Kristiadi Alexander Immer Runa Eschenhagen Matthias Bauer Philipp Hennig BDL UQCV 58 289 0 28 Jun 2021
PAC Prediction Sets Under Covariate Shift Sangdon Park Yan Sun Insup Lee Osbert Bastani 32 42 0 17 Jun 2021
Meta-Learning Reliable Priors in the Function Space Jonas Rothfuss Dominique Heyn Jinfan Chen Andreas Krause 40 27 0 06 Jun 2021
Exploring Uncertainty in Deep Learning for Construction of Prediction Intervals Yuandu Lai Yucheng Shi Yahong Han Yunfeng Shao Meiyu Qi Bingshuai Li UQCV 35 15 0 27 Apr 2021
Deep Learning for Bayesian Optimization of Scientific Problems with High-Dimensional Structure Samuel Kim Peter Y. Lu Charlotte Loh Jamie Smith Jasper Snoek M. Soljavcić BDL AI4CE 79 17 0 23 Apr 2021
Accurate and Reliable Forecasting using Stochastic Differential Equations Peng Cui Zhijie Deng Wenbo Hu Jun Zhu UQCV 38 1 0 28 Mar 2021
Survival Regression with Proper Scoring Rules and Monotonic Neural Networks David Rindt Robert Hu D. Steinsaltz Dino Sejdinovic 17 35 0 26 Mar 2021
Contextual Dropout: An Efficient Sample-Dependent Dropout Module Xinjie Fan Shujian Zhang Korawat Tanwisuth Xiaoning Qian Mingyuan Zhou OOD BDL UQCV 30 27 0 06 Mar 2021
Loss Estimators Improve Model Generalization V. Narayanaswamy Jayaraman J. Thiagarajan Deepta Rajan A. Spanias OOD UQCV 19 0 0 05 Mar 2021
Categorical Depth Distribution Network for Monocular 3D Object Detection Cody Reading Ali Harakeh Julia Chae Steven L. Waslander 3DPC 230 484 0 01 Mar 2021
Flexible Model Aggregation for Quantile Regression Rasool Fakoor Tae-Soo Kim Jonas W. Mueller Alexander J. Smola R. Tibshirani 22 19 0 26 Feb 2021
Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series Xing Han S. Dasgupta Joydeep Ghosh AI4TS 31 34 0 25 Feb 2021
On Calibration and Out-of-domain Generalization Yoav Wald Amir Feder D. Greenfeld Uri Shalit OODD 30 151 0 20 Feb 2021