Accurate Uncertainties for Deep Learning Using Calibrated Regression

1 July 2018

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

40 / 140 papers shown

Title
When and How Mixup Improves Calibration Linjun Zhang Zhun Deng Kenji Kawaguchi James Zou UQCV 31 67 0 11 Feb 2021
Machine learning pipeline for battery state of health estimation D. Roman Saurabh Saxena Valentin Robu Michael G. Pecht David Flynn 31 374 0 01 Feb 2021
Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs Cheng Wang Carolin (Haas) Lawrence Mathias Niepert UQCV 29 10 0 24 Nov 2020
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving Di Feng Ali Harakeh Steven Waslander Klaus C. J. Dietmayer AAML UQCV EDL 24 223 0 20 Nov 2020
Short-Term Solar Irradiance Forecasting Using Calibrated Probabilistic Models E. Zelikman Sharon Zhou Jeremy Irvin Cooper D. Raterink Hao Sheng Anand Avati Jack Kelly Ram Rajagopal A. Ng D. Gagne 17 12 0 09 Oct 2020
Neural Bootstrapper Minsuk Shin Hyungjoon Cho Hyun-Seok Min Sungbin Lim UQCV BDL 22 7 0 02 Oct 2020
Why have a Unified Predictive Uncertainty? Disentangling it using Deep Split Ensembles U. Sarawgi W. Zulfikar Rishab Khincha Pattie Maes PER UQCV BDL UD 21 7 0 25 Sep 2020
Complex Sequential Data Analysis: A Systematic Literature Review of Existing Algorithms Kudakwashe Dandajena I. Venter Mehrdad Ghaziasgar Reg Dodds AI4TS 21 2 0 22 Jul 2020
Long-tail learning via logit adjustment A. Menon Sadeep Jayasumana A. S. Rawat Himanshu Jain Andreas Veit Sanjiv Kumar 65 683 0 14 Jul 2020
Bayesian Neural Networks: An Introduction and Survey Ethan Goan Clinton Fookes BDL UQCV 35 199 0 22 Jun 2020
Calibration of Model Uncertainty for Dropout Variational Inference M. Laves Sontje Ihler Karl-Philipp Kortmann T. Ortmaier BDL UQCV 32 18 0 20 Jun 2020
Distribution-free binary classification: prediction sets, confidence intervals and calibration Chirag Gupta Aleksandr Podkopaev Aaditya Ramdas UQCV 33 79 0 18 Jun 2020
Individual Calibration with Randomized Forecasting Shengjia Zhao Tengyu Ma Stefano Ermon 16 57 0 18 Jun 2020
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning Sebastian Curi Felix Berkenkamp Andreas Krause 30 82 0 15 Jun 2020
AI Research Considerations for Human Existential Safety (ARCHES) Andrew Critch David M. Krueger 30 50 0 30 May 2020
Bayesian Conditional GAN for MRI Brain Image Synthesis Gengyan Zhao M. Meyerand R. Birn MedIm UQCV 14 4 0 25 May 2020
Designing Accurate Emulators for Scientific Processes using Calibration-Driven Deep Models Jayaraman J. Thiagarajan Bindya Venkatesh Rushil Anirudh P. Bremer J. Gaffney G. Anderson B. Spears 13 21 0 05 May 2020
Physarum Powered Differentiable Linear Programming Layers and Applications Zihang Meng Sathya Ravi Vikas Singh 23 5 0 30 Apr 2020
Machine Learning Enabled Discovery of Application Dependent Design Principles for Two-dimensional Materials Victor Venturi Holden L Parks Zeeshan Ahmad V. Viswanathan PINN 19 14 0 19 Mar 2020
Calibrated Prediction with Covariate Shift via Unsupervised Domain Adaptation Sangdon Park Osbert Bastani James Weimer Insup Lee 28 52 0 29 Feb 2020
A Financial Service Chatbot based on Deep Bidirectional Transformers S. Yu Yuxin Chen Hussain Zaidi 25 33 0 17 Feb 2020
Estimating Uncertainty Intervals from Collaborating Networks Tianhui Zhou Yitong Li Yuan Wu David Carlson UQCV 18 15 0 12 Feb 2020
Probability Calibration for Knowledge Graph Embedding Models Pedro Tabacof Luca Costabello 6 45 0 20 Dec 2019
Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration Meelis Kull Miquel Perelló Nieto Markus Kängsepp Telmo de Menezes e Silva Filho Hao Song Peter A. Flach UQCV 25 369 0 28 Oct 2019
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search Colin White W. Neiswanger Yash Savani BDL 42 313 0 25 Oct 2019
Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate Lu Mi Hao Wang Yonglong Tian Hao He Nir Shavit UQCV 21 29 0 28 Sep 2019
Verified Uncertainty Calibration Ananya Kumar Percy Liang Tengyu Ma 22 346 0 23 Sep 2019
On-Demand Trajectory Predictions for Interaction Aware Highway Driving Cyrus Anderson Ram Vasudevan Matthew Johnson-Roberson 22 0 0 11 Sep 2019
Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors Jayaraman J. Thiagarajan Bindya Venkatesh P. Sattigeri P. Bremer UQCV 25 31 0 09 Sep 2019
Marginally-calibrated deep distributional regression Nadja Klein David J. Nott M. Smith UQCV 32 14 0 26 Aug 2019
Entropic Out-of-Distribution Detection David Macêdo T. I. Ren Cleber Zanchettin Adriano Oliveira Teresa B Ludermir OODD UQCV 19 31 0 15 Aug 2019
Non-Parametric Calibration for Classification Jonathan Wenger Hedvig Kjellström Rudolph Triebel UQCV 33 79 0 12 Jun 2019
Distribution Calibration for Regression Hao Song Tom Diethe Meelis Kull Peter A. Flach UQCV 33 108 0 15 May 2019
Calibration of Encoder Decoder Models for Neural Machine Translation Aviral Kumar Sunita Sarawagi 16 98 0 03 Mar 2019
Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data Yinhao Zhu N. Zabaras P. Koutsourelakis P. Perdikaris PINN AI4CE 46 854 0 18 Jan 2019
Calibrating Uncertainties in Object Localization Task Buu Phan Rick Salay Krzysztof Czarnecki Vahdat Abdelzad Taylor Denouden Sachin Vernekar UQCV 22 22 0 27 Nov 2018
Scalable agent alignment via reward modeling: a research direction Jan Leike David M. Krueger Tom Everitt Miljan Martic Vishal Maini Shane Legg 34 395 0 19 Nov 2018
Countdown Regression: Sharp and Calibrated Survival Predictions Anand Avati Tony Duan Sharon Zhou Kenneth Jung N. Shah A. Ng 19 54 0 21 Jun 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015