Reliable Prediction Errors for Deep Neural Networks Using Test-Time Dropout

12 April 2019

Papers citing "Reliable Prediction Errors for Deep Neural Networks Using Test-Time Dropout"

12 / 12 papers shown

Title
Efficient Normalized Conformal Prediction and Uncertainty Quantification for Anti-Cancer Drug Sensitivity Prediction with Deep Regression Forests Daniel Nolte Souparno Ghosh R. Pal 22 0 0 21 Feb 2024
Development and Evaluation of Conformal Prediction Methods for QSAR Yuting Xu Andy Liaw R. Sheridan V. Svetnik 21 2 0 03 Apr 2023
Calibration and generalizability of probabilistic models on low-data chemical datasets with DIONYSUS Gary Tom Riley J. Hickman Aniket N. Zinzuwadia A. Mohajeri Benjamín Sánchez-Lengeling A. Aspuru‐Guzik 21 16 0 03 Dec 2022
Certified machine learning: A posteriori error estimation for physics-informed neural networks Birgit Hillebrecht B. Unger PINN 8 15 0 31 Mar 2022
Leveraging Uncertainty from Deep Learning for Trustworthy Materials Discovery Workflows Jize Zhang B. Kailkhura T. Y. Han OOD 12 13 0 02 Dec 2020
Investigating 3D Atomic Environments for Enhanced QSAR William McCorkindale C. Poelking A. Lee 10 3 0 24 Oct 2020
Prediction intervals for Deep Neural Networks Tullio Mancini Hector F. Calvo-Pardo Jose Olmo UQCV OOD 20 4 0 08 Oct 2020
Less is More: Rejecting Unreliable Reviews for Product Question Answering Shiwei Zhang Xiuzhen Zhang Jey Han Lau Jeffrey Chan Cécile Paris 22 11 0 09 Jul 2020
Uncertainty Quantification Using Neural Networks for Molecular Property Prediction Lior Hirschfeld Kyle Swanson Kevin Kaichuang Yang Regina Barzilay Connor W. Coley 22 187 0 20 May 2020
Concepts and Applications of Conformal Prediction in Computational Drug Discovery I. Cortés-Ciriano A. Bender 21 42 0 09 Aug 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015
Cross-conformal predictors V. Vovk 123 196 0 03 Aug 2012