Noise Contrastive Priors for Functional Uncertainty

24 July 2018

Papers citing "Noise Contrastive Priors for Functional Uncertainty"

26 / 26 papers shown

Title
ASCAPE: An open AI ecosystem to support the quality of life of cancer patients Konstantinos Lampropoulos T. Kosmidis Serge Autexier Miloš Savić Manos Athanatos Miltiadis Kokkonidis Tzortzia Koutsouri A. Vizitiu A. Valachis Miriam Quintero Padron 16 4 0 28 Aug 2023
Unsupervised Domain Adaptation for Low-dose CT Reconstruction via Bayesian Uncertainty Alignment Kecheng Chen Jie Liu Renjie Wan Victor Ho-Fun Lee Varut Vardhanabhuti Hong Yan Haoliang Li OOD 28 5 0 26 Feb 2023
Combining Ensembles and Data Augmentation can Harm your Calibration Yeming Wen Ghassen Jerfel Rafael Muller Michael W. Dusenberry Jasper Snoek Balaji Lakshminarayanan Dustin Tran UQCV 32 63 0 19 Oct 2020
Survey of XAI in digital pathology Milda Pocevičiūtė Gabriel Eilertsen Claes Lundström 14 56 0 14 Aug 2020
Detecting Out-of-distribution Samples via Variational Auto-encoder with Reliable Uncertainty Estimation Xuming Ran Mingkun Xu Lingrui Mei Qi Xu Quanying Liu OODD UQCV 42 51 0 16 Jul 2020
Bayesian Neural Networks: An Introduction and Survey Ethan Goan Clinton Fookes BDL UQCV 37 199 0 22 Jun 2020
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness Jeremiah Zhe Liu Zi Lin Shreyas Padhy Dustin Tran Tania Bedrax-Weiss Balaji Lakshminarayanan UQCV BDL 37 437 0 17 Jun 2020
Depth Uncertainty in Neural Networks Javier Antorán J. Allingham José Miguel Hernández-Lobato UQCV OOD BDL 46 100 0 15 Jun 2020
Uncertainty-Aware Deep Classifiers using Generative Models Murat Sensoy Lance M. Kaplan Federico Cerutti Maryam Saleki UQCV OOD 28 73 0 07 Jun 2020
AI Research Considerations for Human Existential Safety (ARCHES) Andrew Critch David M. Krueger 30 50 0 30 May 2020
Bayesian Deep Learning and a Probabilistic Perspective of Generalization A. Wilson Pavel Izmailov UQCV BDL OOD 24 642 0 20 Feb 2020
Bayesian Learning-Based Adaptive Control for Safety Critical Systems David D. Fan Jennifer Nguyen Rohan Thakker Nikhilesh Alatur Ali-akbar Agha-mohammadi Evangelos A. Theodorou BDL 36 84 0 05 Oct 2019
Action Anticipation for Collaborative Environments: The Impact of Contextual Information and Uncertainty-Based Prediction Clebeson Canuto dos Santos Plinio Moreno J. L. A. Samatelo R. Vassallo J. Santos-Victor 25 7 0 01 Oct 2019
Density estimation in representation space to predict model uncertainty Tiago Ramalho M. Corbalan UQCV BDL 16 38 0 20 Aug 2019
Probabilistic Residual Learning for Aleatoric Uncertainty in Image Restoration Chen Zhang Bangti Jin UQCV 24 12 0 01 Aug 2019
The Functional Neural Process Christos Louizos Xiahan Shi Klamer Schutte Max Welling BDL 38 77 0 19 Jun 2019
Analyzing the Role of Model Uncertainty for Electronic Health Records Michael W. Dusenberry Dustin Tran Edward Choi Jonas Kemp Jeremy Nixon Ghassen Jerfel Katherine A. Heller Andrew M. Dai 18 117 0 10 Jun 2019
Estimating Risk and Uncertainty in Deep Reinforcement Learning W. Clements B. V. Delft Benoît-Marie Robaglia Reda Bahi Slaoui Sébastien Toth 30 96 0 23 May 2019
Functional Variational Bayesian Neural Networks Shengyang Sun Guodong Zhang Jiaxin Shi Roger C. Grosse BDL 22 235 0 14 Mar 2019
A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference Kumar Shridhar F. Laumann Marcus Liwicki BDL UQCV 34 170 0 08 Jan 2019
Uncertainty-Based Out-of-Distribution Detection in Deep Reinforcement Learning Andreas Sedlmeier Thomas Gabor Thomy Phan Lenz Belzner Claudia Linnhoff-Popien UQCV 30 24 0 08 Jan 2019
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 31 1,457 0 11 Dec 2018
Sequential Neural Methods for Likelihood-free Inference Conor Durkan George Papamakarios Iain Murray BDL 36 24 0 21 Nov 2018
Single-Model Uncertainties for Deep Learning Natasa Tagasovska David Lopez-Paz UQCV BDL 31 25 0 02 Nov 2018
Model Selection in Bayesian Neural Networks via Horseshoe Priors S. Ghosh Finale Doshi-Velez BDL 29 119 0 29 May 2017
Manifold Gaussian Processes for Regression Roberto Calandra Jan Peters C. Rasmussen M. Deisenroth 94 271 0 24 Feb 2014