Detecting Out-of-distribution Samples via Variational Auto-encoder with Reliable Uncertainty Estimation

16 July 2020

Papers citing "Detecting Out-of-distribution Samples via Variational Auto-encoder with Reliable Uncertainty Estimation"

8 / 8 papers shown

Title
EmoGene: Audio-Driven Emotional 3D Talking-Head Generation Wenqing Wang Yun Fu VGen 66 0 0 07 Oct 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 42 17 0 28 Feb 2024
eVAE: Evolutionary Variational Autoencoder Zhangkai Wu LongBing Cao Lei Qi BDL DRL 17 10 0 01 Jan 2023
What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization Hao Sun B. V. Breugel Jonathan Crabbé Nabeel Seedat M. Schaar 9 4 0 11 Jul 2022
Constructing Unrestricted Adversarial Examples with Generative Models Yang Song Rui Shu Nate Kushman Stefano Ermon GAN AAML 166 300 0 21 May 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 219 2,391 0 25 Jan 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 245 9,042 0 06 Jun 2015