Amortized Conditional Normalized Maximum Likelihood: Reliable Out of
Distribution Uncertainty Estimation

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Amortized Conditional Normalized Maximum Likelihood: Reliable Out of Distribution Uncertainty Estimation

5 November 2020

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Papers citing "Amortized Conditional Normalized Maximum Likelihood: Reliable Out of Distribution Uncertainty Estimation"

13 / 13 papers shown

Title
Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors Michael W. Dusenberry Ghassen Jerfel Yeming Wen Yi-An Ma Jasper Snoek Katherine A. Heller Balaji Lakshminarayanan Dustin Tran UQCV BDL 70 215 0 14 May 2020
Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder Zhisheng Xiao Qing Yan Y. Amit OODD 151 195 0 06 Mar 2020
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift Yaniv Ovadia Emily Fertig Jie Jessie Ren Zachary Nado D. Sculley Sebastian Nowozin Joshua V. Dillon Balaji Lakshminarayanan Jasper Snoek UQCV 183 1,702 0 06 Jun 2019
A New Look at an Old Problem: A Universal Learning Approach to Linear Regression Koby Bibas Yaniv Fogel M. Feder 41 34 0 12 May 2019
Deep pNML: Predictive Normalized Maximum Likelihood for Deep Neural Networks Koby Bibas Yaniv Fogel M. Feder BDL 61 19 0 28 Apr 2019
A Simple Baseline for Bayesian Uncertainty in Deep Learning Wesley J. Maddox T. Garipov Pavel Izmailov Dmitry Vetrov A. Wilson BDL UQCV 96 809 0 07 Feb 2019
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 219 2,905 0 14 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 842 5,841 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 854 9,346 0 06 Jun 2015
Weight Uncertainty in Neural Networks Charles Blundell Julien Cornebise Koray Kavukcuoglu Daan Wierstra UQCV BDL 192 1,892 0 20 May 2015
Optimizing Neural Networks with Kronecker-factored Approximate Curvature James Martens Roger C. Grosse ODL 104 1,023 0 19 Mar 2015
Inconsistency of Bayesian Inference for Misspecified Linear Models, and a Proposal for Repairing It Peter Grünwald T. V. Ommen 86 268 0 11 Dec 2014
Stochastic Variational Inference Matt Hoffman David M. Blei Chong-Jun Wang John Paisley BDL 262 2,627 0 29 Jun 2012